A sodium-ion battery aging screening method based on gas production precursor segment isolation and a system thereof

Abstract

The application discloses a sodium-ion battery aging screening method and system based on gas production precursor segmentation isolation. By obtaining the aging sampling data of the target sodium-ion battery after formation, the precursor process history data and the gas production precursor segmentation benchmark data, the gas production precursor response trajectory data and the precursor gas production cause correlation data are respectively generated, and the first precursor screening control data is formed according to the segmentation positioning data and the critical margin data. Further, the precursor cause mapping relationship data is formed by combining the gas production precursor response trajectory data, the second precursor screening control data is generated through the rescreening lockout shunt judgment, and then the segmentation isolation flow data is formed and written into the target disposal queue. Finally, the closed-loop verification is carried out based on the review response data, and the gas production precursor segmentation benchmark data is updated, thereby improving the timeliness of the gas production precursor identification, the accuracy of the segmentation isolation disposal and the reliability of the closed-loop update of the screening benchmark in the sodium-ion battery aging screening process.

Description

Technical Field

[0001] This application relates to the field of sodium-ion battery manufacturing quality control technology, and in particular to a sodium-ion battery aging screening method and system based on pre-gas generation segmented isolation. Background Technology

[0002] Sodium-ion batteries typically undergo processes such as electrolyte injection, settling, formation, and aging during manufacturing. The aging and screening results directly impact subsequent cell sorting, safety management, and batch quality traceability. Since the wetting state of the hard carbon negative electrode, the stability of the electrode interface film, post-formation polarization residues, and electrolyte side reactions in sodium-ion cells can all manifest as abnormal changes in open-circuit voltage, impedance, temperature, casing thickness, or internal pressure during the aging process, timely identification of early gas generation precursors during aging and directing cells with varying levels of risk to corresponding review, isolation, or rejection processes are crucial for improving the consistency and safety management capabilities of sodium-ion battery manufacturing.

[0003] Current sodium-ion battery cell aging screening typically relies on the results of aging endpoint tests. For example, after aging, open-circuit voltage, internal resistance, temperature, appearance bulging, thickness changes, or safety test results are collected, and the cells are then classified into qualified, retested, isolated, or rejected categories according to preset thresholds. In some production lines, records of liquid injection and settling, formation, or aging tests are also read as quality traceability. However, these data are mostly used for post-event inquiries or batch analysis, failing to establish a continuous early warning identification and control chain with the response changes during the aging screening process.

[0004] The problem with the above-mentioned treatment method is that the aging screening of sodium ion cells mainly relies on the detection results of the aging endpoint, which makes it difficult to identify early signs of gas production in a timely manner. Furthermore, there is no effective correlation between the process history of previous liquid injection, settling, and formation and the response data of the aging stage. This results in a lack of segmented control basis and closed-loop correction mechanism for the re-screening, isolation, and rejection of cells with gas production risks. Summary of the Invention

[0005] In view of the above-mentioned actual situation, this application proposes a sodium-ion battery aging screening method and system based on segmented isolation of gas production precursors, in order to solve the problems in the existing technology that sodium-ion cell aging screening mainly relies on the aging endpoint detection results, which makes it difficult to identify early gas production precursors in a timely manner, and there is no effective correlation between the process history of previous liquid injection, standing, formation and other processes and the response data of the aging stage, resulting in the lack of segmented control basis and closed-loop correction mechanism for the re-screening, isolation and rejection of gas-producing risk cells.

[0006] A method for aging and screening sodium-ion batteries based on segmented isolation of gas production precursors includes:

[0007] Acquire aging sampling data and previous process history data of the target sodium-ion battery cell after formation, and acquire gas production precursor segment reference data; perform precursor response trajectory processing on the aging sampling data to obtain gas production precursor response trajectory data; perform gas production cause correlation processing on the previous process history data to obtain previous gas production cause correlation data.

[0008] Based on the gas production precursor segmented reference data, the gas production precursor response trajectory data is processed to obtain segmented positioning data. Critical margin data is generated based on the segmented positioning data at the segment boundary positions in the gas production precursor segmented reference data. The segmented positioning data and the critical margin data are integrated to form the first precursor screening control data.

[0009] The segmented positioning data in the first precursor screening control data defines the range of causation association, and combined with the gas production precursor response trajectory data, precursor causation mapping relationship data is formed from the preceding gas production causation association data; the precursor causation mapping relationship data forms rescreening stabilization tendency data and isolation blocking tendency data, and the critical margin data in the first precursor screening control data is used as the critical margin correction condition to perform rescreening blocking diversion determination on the rescreening stabilization tendency data and the isolation blocking tendency data to obtain rescreening stabilization control quantity and isolation blocking control quantity; the rescreening stabilization control quantity and the isolation blocking control quantity are integrated to form the second precursor screening control data;

[0010] Candidate disposal queues are determined by segmented positioning data and critical margin data in the first precursor screening control data, and the circulation qualification mark corresponding to the candidate disposal queues is determined by the second precursor screening control data to obtain segmented isolation circulation data; based on the segmented isolation circulation data, the cell identifier corresponding to the target sodium-ion cell is written into the target disposal queue in the preset segmented isolation queue sequence;

[0011] Obtain the verification response data of the target sodium-ion battery cell under the target disposal queue; perform closed-loop verification on the second precursor screening control data and the segmented isolation flow data based on the verification response data to obtain the aging screening closure result, and update the gas production precursor segmented reference data based on the aging screening closure result.

[0012] Furthermore, the step of performing precursor response trajectory processing on the aging sampling data to obtain gas production precursor response trajectory data includes:

[0013] Using the aging sampling period corresponding to the aging sampling data as the segmentation benchmark, the aging sampling data is segmented to obtain aging response segments;

[0014] The preset gas production precursor observation items in the aging response segment are subjected to response deviation identification and response stabilization identification to obtain the segment response deviation data and segment response stabilization data corresponding to the aging response segment; the preset gas production precursor observation items are selected from at least two of the following: open circuit voltage response item, impedance response item, temperature response item, shell thickness response item, internal pressure response item, and static stabilization response item;

[0015] Using the sampling timing position between adjacent aging response segments as the trajectory organization benchmark, response trajectory organization processing is performed on the segment response deviation data and the segment response recovery data to obtain the response deviation order, response duration relationship and response recovery order.

[0016] The response deviation order, the response duration relationship, and the response stabilization order are constructed as the gas production precursor response trajectory data; the gas production precursor response trajectory data is used to characterize the temporal evolution relationship of the preset gas production precursor observation item from response deviation, response duration to response stabilization during the aging sampling period.

[0017] Furthermore, the step of performing gas generation cause correlation processing on the preceding process history data to obtain preceding gas generation cause correlation data includes:

[0018] Using the cell identifier of the target sodium-ion battery cell as a history index, the liquid injection and standing history data and the formation process history data are determined from the preceding process history data.

[0019] The wetting lag cause was identified by analyzing the injection and settling history data, and a wetting lag cause marker was formed.

[0020] The formation process history data is used to identify film formation stability inducing factors and polarization residue inducing factors, forming film formation stability inducing factor markers and polarization residue inducing factor markers.

[0021] The wetting hysteresis inducing factor marker, the film formation stability inducing factor marker, and the polarization residue inducing factor marker are associated with the cell identifier as the preceding gas generation inducing factor association data.

[0022] Furthermore, the step of performing precursor segmentation and positioning processing on the precursor response trajectory data based on the precursor segmentation reference data to obtain segmented positioning data includes:

[0023] The precursor segment boundaries and segment migration conditions are determined from the precursor segment baseline data; the precursor segment boundaries are configured in the order of progressive gas production risk, and the segment migration conditions include precursor progression conditions and stabilization migration conditions.

[0024] The gas production precursor response trajectory data is segmented and matched with the precursor segment boundary to obtain candidate precursor segments.

[0025] The candidate precursor segments are migrated and verified using the segmented migration conditions to determine the gas-producing precursor segment currently corresponding to the target sodium-ion battery cell; the segmented positioning data is formed from the currently corresponding gas-producing precursor segment.

[0026] Furthermore, the step of generating critical margin data based on the segmented positioning data at the segmented boundary positions in the precursor gas production segmented reference data, and integrating the segmented positioning data and the critical margin data to form the first precursor screening control data, includes:

[0027] The current gas production precursor segment is determined by the segmented positioning data, and the precursor segment boundary corresponding to the current gas production precursor segment along the gas production risk progression direction is determined as the risk approach boundary in the gas production precursor segment reference data.

[0028] Determine the segment boundary distance between the current gas production precursor segment and the risk approach boundary;

[0029] Using the response persistence relationship of the gas production precursor response trajectory data as a margin correction condition, the segment boundary distance is continuously corrected to obtain the critical margin data.

[0030] The segmented positioning data and the critical margin data are integrated to form the first precursor screening control data; the first precursor screening control data is used to characterize the gas production precursor segment position of the target sodium-ion battery cell during the aging process and the critical margin state relative to the risk approach boundary.

[0031] Furthermore, the step of defining the range of causation associations using the segmented positioning data in the first precursor screening control data, and combining it with the gas production precursor response trajectory data to form precursor causation mapping relationship data from the preceding gas production causation association data, includes:

[0032] Using the gas-producing precursor segment corresponding to the segmented positioning data in the first precursor screening control data as the associated screening segment, the range of causes associated with the target sodium-ion battery cell is determined.

[0033] Extract the causation markers corresponding to the causation association range from the preceding gas production causation association data to form candidate causation association data;

[0034] Based on the preceding process period corresponding to the inducing factor marker and the aging response period corresponding to the gas production precursor response trajectory data, an inducing factor acceptance window is constructed.

[0035] Within the trigger receiving window, the candidate trigger-related data is filtered to obtain trigger window mapping data;

[0036] The precursor trigger mapping relationship data is formed from the trigger window mapping data; the precursor trigger mapping relationship data is used to characterize the time-period mapping relationship between the trigger marker and the gas production precursor response trajectory data within the trigger receiving window.

[0037] Furthermore, the process involves forming re-screening stabilization tendency data and isolation / lockdown tendency data from the precursor cause mapping relationship data, and using the critical margin data in the first precursor screening control data as the critical margin correction condition to perform re-screening lockdown diversion determination on the re-screening stabilization tendency data and the isolation / lockdown tendency data, thereby obtaining re-screening stabilization control quantity and isolation / lockdown control quantity; integrating the re-screening stabilization control quantity and the isolation / lockdown control quantity to form the second precursor screening control data, including:

[0038] Data on the tendency to re-screen and stabilize, and data on the tendency to isolate and close off, are generated from the aforementioned precursor cause mapping relationship data;

[0039] Using the critical margin data in the first precursor screening control data as the critical margin correction condition, the rescreening stabilization tendency data is corrected to obtain the rescreening stabilization control quantity.

[0040] Using the critical margin data in the first precursor screening control data as the critical margin correction condition, the isolation and locking tendency data is corrected to obtain the isolation and locking control quantity.

[0041] The rescreening stabilization control quantity and the isolation and locking control quantity are integrated to form the second precursor screening control data; the second precursor screening control data is used to characterize the treatment diversion state of the target sodium-ion battery cell in the rescreening stabilization direction and the isolation and locking direction under the joint constraints of the precursor cause mapping relationship data and the critical margin data.

[0042] Further, the step of determining the candidate disposal queue from the segmented positioning data and critical margin data in the first precursor screening control data, and determining the circulation qualification mark corresponding to the candidate disposal queue from the second precursor screening control data, to obtain segmented isolation circulation data; and based on the segmented isolation circulation data, writing the cell identifier corresponding to the target sodium-ion battery cell into the target disposal queue in the preset segmented isolation queue sequence, includes:

[0043] The initial candidate disposal queue corresponding to the target sodium-ion battery cell is determined by the segmented positioning data in the first precursor screening control data.

[0044] The initial candidate disposal queue is adjusted by using the critical margin data in the first precursor screening control data to obtain the candidate disposal queue.

[0045] The second precursor screening control data is used to determine the transfer qualification mark corresponding to the candidate disposal queue; the candidate disposal queue and the transfer qualification mark are used to form the segmented isolation transfer data; based on the segmented isolation transfer data, the cell identifier corresponding to the target sodium-ion cell is written into the target disposal queue;

[0046] The preset segmented isolation queue sequence includes a normal aging queue, a delayed observation queue, a retest confirmation queue, a safety isolation queue, and a risk elimination queue. The target disposal queue is the queue in the preset segmented isolation queue sequence that corresponds to the segmented isolation flow data. The segmented isolation flow data is used to characterize the queue flow relationship of the cell identifier corresponding to the target sodium-ion cell from the candidate disposal queue to the target disposal queue.

[0047] Further, the closed-loop verification of the second precursor screening control data and the segmented isolation flow data based on the verification response data is performed to obtain the aging screening closure result, and the gas production precursor segmented reference data is updated based on the aging screening closure result, including:

[0048] The gas production precursor segmented baseline data also includes rescreening retention parameters and isolation / lockout parameters; rescreening stabilization confirmation data and isolation / lockout confirmation data are generated from the verification response data;

[0049] The rescreening stabilization confirmation data is used to verify the rescreening stabilization control quantity in the second precursor screening control data, and the isolation interlocking confirmation data is used to verify the isolation interlocking control quantity in the second precursor screening control data to obtain rescreening interlocking verification data.

[0050] Based on the rescreening lockout verification data, the segmented isolation flow data is marked with a closure tag to obtain the aging screening closure result containing the rescreening stabilization confirmation data and the isolation lockout confirmation data.

[0051] The rescreening retention parameters in the gas production precursor segment reference data are updated using the rescreening stabilization confirmation data in the aging screening closure results.

[0052] The isolation and interlocking parameters in the gas production precursor segment reference data are updated using the isolation and interlocking confirmation data in the aging screening closure results.

[0053] Furthermore, this application also discloses a sodium-ion battery aging and screening system based on pre-gas generation segmented isolation, the system comprising:

[0054] The precursor object formation unit is used to acquire aging sampling data and previous process history data of the target sodium-ion battery cell after formation, and to acquire gas production precursor segment reference data; to perform precursor response trajectory processing on the aging sampling data to obtain gas production precursor response trajectory data; and to perform gas production cause correlation processing on the previous process history data to obtain previous gas production cause correlation data.

[0055] The segmented margin control unit is used to perform precursor segmentation and positioning processing on the precursor response trajectory data based on the precursor segmentation reference data to obtain segmented positioning data, and generate critical margin data based on the segmented positioning data at the segment boundary positions in the precursor segmentation reference data; and integrate the segmented positioning data and the critical margin data to form the first precursor screening control data.

[0056] The precipitate mapping and diversion unit is used to define the precipitate association range using the segmented positioning data in the first precipitate screening control data, and to form precipitate mapping relationship data from the preceding gas production precipitate association data by combining the gas production precipitate response trajectory data; to form rescreening stabilization tendency data and isolation blocking tendency data from the precipitate precipitate mapping relationship data, and to perform rescreening blocking diversion determination on the rescreening stabilization tendency data and the isolation blocking tendency data using the critical margin data in the first precipitate screening control data as the critical margin correction condition, thereby obtaining rescreening stabilization control quantity and isolation blocking control quantity; and to integrate the rescreening stabilization control quantity and the isolation blocking control quantity to form second precipitate screening control data;

[0057] The isolation transfer writing unit is used to determine the candidate disposal queue from the segmented positioning data and critical margin data in the first precursor screening control data, and to determine the transfer qualification mark corresponding to the candidate disposal queue from the second precursor screening control data, so as to obtain segmented isolation transfer data; based on the segmented isolation transfer data, the cell identifier corresponding to the target sodium-ion cell is written into the target disposal queue in the preset segmented isolation queue sequence;

[0058] The closed-loop verification and write-back unit is used to acquire the verification response data of the target sodium-ion battery cell under the target disposal queue; to perform closed-loop verification on the second precursor screening control data and the segmented isolation flow data based on the verification response data, to obtain the aging screening closure result, and to update the gas production precursor segmented reference data based on the aging screening closure result.

[0059] The sodium-ion battery aging screening method and system proposed in this application based on segmented isolation of gas production precursors achieves collaborative processing of aging sampling data of target sodium-ion cells after formation and previous process history data. This enables the formation of a continuous data control link between the gas production precursor response trajectory, previous gas production inducing factors, segmented positioning, critical margin, re-screening interlocking diversion, and target disposal queue. This improves the timeliness of gas production precursor identification, the accuracy of segmented isolation disposal, and the reliability of closed-loop updating of screening benchmarks during the sodium-ion cell aging screening process. Attached Figure Description

[0060] Figure 1 Flowchart of sodium-ion battery aging and screening method based on gas production precursor segmented isolation;

[0061] Figure 2 A schematic diagram showing the convergence of data from the preceding process induction line and the aging precursor response line;

[0062] Figure 3 Schematic diagram of gas production precursor response trajectory extraction;

[0063] Figure 4 Schematic diagram of precursor segmentation location and critical margin correction;

[0064] Figure 5 Schematic diagram of the generation of precursor cause mapping relationship data;

[0065] Figure 6 A schematic diagram illustrating the generation of segmented isolated data and the writing of target processing queues;

[0066] Figure 7 Phase diagram of multiple-screen lockout split flow with critical margin and closeness to induced response;

[0067] Figure 8 This is a schematic diagram of a sodium-ion battery aging and screening system based on pre-gas generation segmented isolation, provided as an embodiment of this application. Detailed Implementation

[0068] To make the objectives, technical solutions, and technical effects of this application clearer, the specific embodiments of this application are described in detail below with reference to the accompanying drawings. It should be noted that the cell production data, process history data, and aging sampling data involved in this application all originate from the manufacturing execution system, equipment control system, quality inspection system, and aging sampling system within the enterprise's production line that have been connected to production data management permissions. The collection, storage, retrieval, calculation, and write-back of the above data must comply with the enterprise's production data management specifications, equipment access specifications, and battery manufacturing process quality traceability requirements. The aging screening control module in this application only processes process data and sampling data related to the aging screening of the target sodium-ion cell and does not involve the retrieval of data unrelated to cell aging screening.

[0069] The sodium-ion battery aging screening method based on segmented isolation of gas production precursors provided in this embodiment is applicable to screening scenarios where sodium-ion cells enter the aging process after completing electrolyte injection, settling, and formation. In this scenario, some sodium-ion cells are affected by electrode interface film stability, electrolyte side reactions, hard carbon negative electrode wetting state, positive electrode residual reactions, local polarization of the electrode sheet, and impurity-induced reactions during the post-formation aging stage, posing a risk of developing from slight precursors to abnormal gas production. This embodiment does not make a one-time judgment based solely on pressure drop, internal resistance, or bulging results at the aging endpoint, but rather identifies the manifestation process of gas production precursors during the aging process and performs segmented isolation, verification, and baseline write-back accordingly.

[0070] In related aging and screening processes, the open-circuit voltage, internal resistance, appearance bulging, or safety test results at the aging endpoint are typically used to determine whether the battery cell is qualified, retested, or rejected. This type of processing can identify existing anomalies, but it is difficult to distinguish early gas production precursors caused by delayed liquid injection, unstable film formation, or residual polarization. It is also difficult to divert the target sodium-ion battery cell to different verification or isolation paths before the gas production precursors develop into final anomalies. Therefore, this embodiment uses aging sampling data to form gas production precursor response trajectory data, and previous process history data to form previous gas production induction correlation data. Furthermore, it utilizes segmented benchmark data for gas production precursors, critical margin data, and precursor induction mapping relationship data to jointly generate segmented isolation flow data, thereby completing the segmented screening, queue isolation, and closed-loop write-back of the target sodium-ion battery cell during the aging process.

[0071] In this embodiment, "precursor gas production" is used to characterize the early manifest state of the target sodium-ion battery cell before actual swelling or safety anomalies occur during the aging stage, as shown by open-circuit voltage, impedance, temperature, shell thickness, internal pressure, or static stabilization response. "Segmentation" is used to characterize the positioning of the aforementioned early manifest state to different progressive stages of gas production risk based on the segmentation benchmark data of the precursor gas production. "Isolation" is used to characterize the computer control process of writing the corresponding battery cell identifier into different target disposal queues based on the segmentation positioning data, critical margin data, and second precursor screening control data, even when the target sodium-ion battery cell may not have formed a final anomaly. Therefore, the aging screening in this embodiment is not a single endpoint qualification judgment, but an aging screening process formed around a closed loop of precursor gas production identification, risk segmentation, queue isolation, and verification.

[0072] In this embodiment, the executing entity is a computer device. The computer device includes an aging cabinet control system, a production line server, an aging screening control module in a manufacturing execution system, or an industrial control computing device communicatively connected to aging sampling equipment, a liquid injection and settling history database, and a chemical formation history database. The computer device is used to perform aging sampling data reading, preceding process history indexing, precursor response trajectory processing, gas generation cause correlation processing, precursor segmentation and positioning processing, critical margin data generation, precursor cause mapping relationship data generation, re-screening lockout diversion determination, target disposal queue writing, and gas generation precursor segmentation baseline data write-back. Therefore, queue writing, data mapping, control quantity generation, and baseline write-back in this embodiment all belong to the data processing and process control processes executed by the computer device.

[0073] During production line deployment, the aging and screening control module reads corresponding data from the liquid injection and settling history database, the formation history database, and the aging sampling database using the cell identifier. It then writes the segmented isolation flow data, the target disposal queue record, and the aging and screening closure result back to the manufacturing execution system or the quality traceability database. This read-write relationship ensures a continuous data index relationship for the same target sodium-ion cell across preceding processes, aging sampling, queue flow, and verification loops.

[0074] See Figure 2 The preceding process history data and aging sampling data are not used in isolation for screening. Figure 2 The upper data line in the middle is the preceding process inducement line. The injection and standing history and the formation process history are identified by inducement markers to form the preceding gas generation inducement correlation data. Figure 2 The lower data line in the diagram represents the aging precursor response line. After the aging sampling data undergoes precursor response trajectory processing, it forms the gas production precursor response trajectory data. The preceding gas production induced factor correlation data and the gas production precursor response trajectory data are jointly entered into the induced factor-response mapping process in subsequent processing to form the precursor induced factor mapping relationship data. Figure 2 The trigger-response mapping on the right does not directly identify the preceding gas production trigger data as the cause of abnormal gas production. Instead, it inputs the preceding gas production trigger data and the gas production precursor response trajectory data into the subsequent trigger acceptance window and the trigger response proximity calculation process, respectively. When the trigger type, process period and aging response period all meet the mapping conditions, the precursor trigger mapping relationship data is formed.

[0075] In this embodiment, formation refers to the process by which a sodium-ion battery cell forms an electrode interface film and establishes an initial electrochemical state under a preset charge-discharge program. The formation process history data is used to characterize the film formation stability, initial polarization state, and formation temperature rise state of the target sodium-ion battery cell before it enters the aging process. The formation process history data is used in subsequent gas generation cause correlation processing to form film formation stability cause markers and polarization residue cause markers.

[0076] The target sodium-ion battery cell refers to the sodium-ion battery cell that has entered the aging and screening process and has been assigned a cell identifier by computer equipment. The cell identifier is an identification information used to establish a data association between the same cell and its injection and settling history data, formation process history data, aging sampling data, and disposal queue data. The cell identifier includes at least one of the following: barcode identifier, QR code identifier, database primary key identifier, tray location identifier, and workstation transfer identifier.

[0077] Aging sampling data refers to the time-series response data collected by aging sampling equipment during the aging process of the target sodium-ion battery cell. The aging sampling data includes at least a portion of the following: open-circuit voltage response data, impedance response data, temperature response data, casing thickness response data, internal pressure response data, and static stabilization response data. Open-circuit voltage response data characterizes voltage drop, rebound, tailing, and abnormal voltage drop during the aging static period; impedance response data characterizes the rise, fall, and fluctuation of internal resistance or AC impedance during the aging process; temperature response data characterizes slight temperature rise and abnormal temperature rise during the aging process; casing thickness response data characterizes gradual changes in casing thickness and deformation before bulging; internal pressure response data characterizes the gradual increase, fluctuation, and continuous rise of internal pressure within the battery cell; and static stabilization response data characterizes the recovery of at least one observation item to a stable range after supplementary static stabilization or verification testing.

[0078] The preceding process history data refers to the process records formed before the aging process of the target sodium-ion battery cell. This preceding process history data comes from the electrolyte injection and settling processes and includes electrolyte injection and settling history data and formation process history data. The electrolyte injection and settling history data includes the injection volume, vacuum holding time, pressure recovery curve, settling time, cell quality changes, and wetting hysteresis records. The formation process history data includes the formation voltage curve, formation current curve, formation temperature rise curve, first-cycle capacity, initial impedance, and film consumption characteristics.

[0079] Precursor gas generation segmentation benchmark data refers to the benchmark data used for segmenting, locating, verifying, and handling the precursor gas generation manifestation status of target sodium-ion batteries during the aging process. This precursor gas generation segmentation benchmark data is formed from material system, capacity specifications, liquid injection process, formation regime, historical aging anomaly samples, verification results, and safety isolation experience data. The precursor gas generation segmentation benchmark data includes at least the precursor segment boundary, segment migration conditions, rescreening retention parameters, and isolation lockout parameters. The precursor segment boundary is used to define the boundary position between different gas generation risk segments; the segment migration conditions are used to define the judgment rules for the target sodium-ion battery to advance or retreat between different gas generation precursor segments; the rescreening retention parameters are used to define the judgment criteria for allowing retention for observation or re-entry into the screening process after rescreening; and the isolation lockout parameters are used to define the judgment criteria for the direction of safety isolation or risk removal. The precursor gas generation segment boundary, also called the precursor segment boundary, refers to the boundary data in the precursor gas generation segmentation benchmark data used to distinguish adjacent gas generation risk segments.

[0080] Precursor response trajectory processing refers to the process of segmenting aging sampling data according to the aging sampling period and performing response deviation identification, response persistence identification, and response stabilization identification on the preset gas production precursor observation items in each aging response segment, so as to form the response deviation order, response persistence relationship, and response stabilization order.

[0081] Gas production precursor response trajectory data refers to time-series state data formed from aging sampling data within the aging sampling period, used to characterize the manifestation process of gas production precursors. The gas production precursor response trajectory data consists of response deviation order, response duration relationship, and response stabilization order. Specifically, the response deviation order characterizes the sampling time sequence in which at least two preset gas production precursor observation items first deviate; the response duration relationship characterizes the duration, number of duration segments, or continuous relationship of the deviation state in adjacent aging response segments; and the response stabilization order characterizes the sampling time sequence in which at least two preset gas production precursor observation items recover to the stabilization range.

[0082] Gas generation cause correlation processing refers to the process of using the cell identifier of the target sodium-ion battery cell as an index to identify wetting hysteresis causes, film stabilization causes, and polarization residue causes related to gas generation precursors in the aging stage from the preceding process history data, and then associating the corresponding cause tags to form preceding gas generation cause correlation data.

[0083] Precursor gas generation induction correlation data refers to data formed by associating process induction markers related to gas generation precursors in the aging stage from the preceding process history data with the cell identifier. The preceding gas generation induction correlation data includes at least one of wetting hysteresis induction markers, film formation stability induction markers, and polarization residue induction markers. Wetting hysteresis induction markers are used to characterize situations such as insufficient electrolyte wetting, pressure recovery tailing, or abnormal quality changes during the electrolyte injection and settling stage; film formation stability induction markers are used to characterize situations such as unstable electrode interface film formation, abnormal formation temperature rise, or deviation in film consumption during the formation stage; polarization residue induction markers are used to characterize situations such as high initial impedance after formation, discharge plateau shift, or abnormal low-rate drop.

[0084] Precursor segmentation and localization processing refers to the process of matching the gas production precursor response trajectory data with the precursor segment boundary in the gas production precursor segment reference data, and performing migration verification on the matching results according to the segment migration conditions, so as to determine the current gas production precursor segment corresponding to the target sodium-ion battery cell.

[0085] Segmented positioning data refers to data used to characterize the current gas production precursor segment, segment confirmation period, segment migration direction, and segment verification status of the target sodium-ion battery cell.

[0086] Critical margin data refers to the remaining control margin used to characterize the current gas production precursor segment of the target sodium-ion battery cell relative to the risk approach boundary; the critical margin data is formed by correcting the segment boundary distance with response persistence relationship, response stabilization amount, and precursor progression amount. The critical margin correction condition refers to the control condition formed from the critical margin data, used to correct the direction of the rescreening stabilization tendency data and isolation blocking tendency data.

[0087] The first precursor screening control data refers to the control data formed by integrating segmented location data and critical margin data. The segmented location data is used to characterize the gas-producing precursor segment currently corresponding to the target sodium-ion battery cell, and the critical margin data is used to characterize the margin status of the target sodium-ion battery cell's current state relative to the risk approach boundary. The first precursor screening control data is used to limit the scope of subsequent trigger associations and to determine the candidate treatment queue.

[0088] The range of trigger associations refers to the range of trigger types determined by the gas production precursor segments corresponding to the segmented location data. It is used to limit the trigger markers in the preceding gas production trigger association data that participate in the judgment of the current precursor segment.

[0089] The trigger connection window refers to a time window constructed based on the preceding process period corresponding to the trigger marker and the aging response period corresponding to the gas production precursor response trajectory data. It is used to filter candidate trigger association data that can form a mapping relationship with the current aging response in terms of time period.

[0090] Precursor-cause mapping relationship data refers to the time-period mapping relationship data formed by the correlation data of preceding gas-producing causes and the trajectory data of gas-producing precursor responses within the cause acceptance window. The precursor-cause mapping relationship data is used to characterize the correlation strength, time-period correspondence, and cause-response proximity between the preceding process cause markers and the gas-producing precursor responses in the aging stage.

[0091] The re-screening stabilization tendency data refers to data used to characterize the current abnormal performance of the target sodium-ion battery cell, indicating a tendency towards observation, retesting, or stabilization and recovery. The isolation / lockdown tendency data refers to data used to characterize the current abnormal performance of the target sodium-ion battery cell, indicating a tendency towards continued gas production, safety isolation, or risk elimination.

[0092] The determination of secondary screening and blockage diversion refers to the process of correcting and diverting the secondary screening stabilization tendency data and isolation blockage tendency data after the precursor cause mapping relationship data are formed. The critical margin data is used as the critical margin correction condition.

[0093] The second precursor screening control data refers to the control data formed by integrating the rescreening stabilization control quantity and the isolation / lockdown control quantity. The rescreening stabilization control quantity characterizes the degree of control required for the target sodium-ion battery cell to enter the rescreening confirmation or delayed observation direction in the current precursor state; the isolation / lockdown control quantity characterizes the degree of control required for the target sodium-ion battery cell to enter the safety isolation or risk elimination direction in the current precursor state. The second precursor screening control data is used to determine the transfer eligibility marker corresponding to the candidate disposal queue.

[0094] The candidate disposal queue refers to the queue of cells to be selected for disposal, determined by the segmented positioning data and critical margin data in the first precursor screening control data, and corresponding to the cell identifier of the target sodium-ion battery cell. The queue entry priority adjustment refers to the process of adjusting the entry order or direction of the candidate disposal queue based on the critical margin data after the initial candidate disposal queue is determined.

[0095] The transfer eligibility marker refers to the queue entry eligibility marker determined by the second precursor screening control data, which is used to limit whether the cell identifier corresponding to the target sodium-ion cell is eligible to be written into the target disposal queue corresponding to the candidate disposal queue.

[0096] The preset segmented isolation queue sequence refers to a set of queues used to receive different gas production precursor segments and different treatment diversion states, including at least a normal aging queue, a delayed observation queue, a retest confirmation queue, a safety isolation queue, and a risk removal queue. The target treatment queue refers to the queue in the preset segmented isolation queue sequence that corresponds to the segmented isolation flow data, and the target treatment queue is used to receive the cell identifier corresponding to the target sodium-ion battery cell.

[0097] Segmented isolation flow data refers to data formed by the candidate disposal queue and the flow qualification mark. This segmented isolation flow data characterizes the queue flow relationship of the cell identifier corresponding to the target sodium-ion battery cell, from the candidate disposal queue to the target disposal queue. The target disposal queue includes one of the following: normal aging queue, delayed observation queue, retest confirmation queue, safety isolation queue, and risk elimination queue.

[0098] Verification response data refers to data collected after the target sodium-ion battery cell enters the target disposal queue, during the processes of supplementary settling, low-rate retesting, safety isolation observation, or risk removal confirmation, used to verify the direction of rescreening stabilization and isolation lockout. The rescreening stabilization confirmation data refers to data formed from the verification response data used to confirm whether the target sodium-ion battery cell meets the rescreening stabilization conditions; the isolation lockout confirmation data refers to data formed from the verification response data used to confirm whether the target sodium-ion battery cell meets the safety isolation or risk removal conditions.

[0099] Closed-loop verification refers to the process of using verification response data to verify the consistency of the screening stabilization control quantity, isolation interlocking control quantity, and queue flow relationship in the segmented isolation flow data in the second precursor screening control data, and forming the aging screening closed result.

[0100] The aging screening closure result refers to the result data formed after the verification response data performs closed-loop verification on the second precursor screening control data and the segmented isolation flow data. The aging screening closure result is used to characterize the target sodium-ion battery cell's rescreening stabilization confirmation status, isolation lockout confirmation status, queue flow closure status, and the write-back status of the gas production precursor segmented reference data under the target disposal queue.

[0101] In this embodiment, the aforementioned data acquisition, data transmission, identification indexing, database storage, timestamp synchronization, MES interface, message queue, aging cabinet interlocking, alarm push, and system communication are all implemented using industrial communication interfaces, database indexing methods, and production line control interfaces well-known to those skilled in the art. Further details of their underlying deployment are not elaborated upon here. The above implementation does not affect the understanding and implementation of the embodiments of this application. The construction of gas production precursor segmented benchmark data, precursor response trajectory processing, formation of precursor cause mapping relationship data, generation of critical margin data, rescreening and interlocking diversion determination, and closed-loop write-back processing are processing contents of this embodiment and will be further explained in subsequent embodiments.

[0102] In one embodiment, see Figure 1The computer equipment performs aging and screening processing on the target sodium-ion battery cell after formation, based on pre-gas generation segmented isolation. The equipment acquires aging sampling data, previous process history data, and pre-gas generation segmented reference data of the target sodium-ion battery cell. It performs pre-gas generation response trajectory processing on the aging sampling data to form pre-gas generation response trajectory data, and performs pre-gas generation cause correlation processing on the previous process history data to form previous pre-gas generation cause correlation data. Subsequently, the equipment uses the pre-gas generation segmented reference data to perform pre-gas generation segmented positioning processing on the pre-gas generation response trajectory data to obtain segmented positioning data. Based on the segmented positioning data at the segment boundary positions in the pre-gas generation segmented reference data, it generates critical margin data. The segmented positioning data and the critical margin data are then integrated to form the first pre-gas generation screening control data.

[0103] Based on the above processing, the device uses the segmented positioning data in the first precursor screening control data to limit the range of cause association, and combines the gas production precursor response trajectory data to form precursor cause mapping relationship data from the preceding gas production cause association data; it forms rescreening stabilization tendency data and isolation lockout tendency data from the precursor cause mapping relationship data, and uses the critical margin data in the first precursor screening control data as the critical margin correction condition to perform rescreening lockout diversion determination on the rescreening stabilization tendency data and the isolation lockout tendency data to obtain rescreening stabilization control quantity and isolation lockout control quantity, and integrates the rescreening stabilization control quantity and the isolation lockout control quantity to form the second precursor screening control data. Furthermore, the device determines the candidate disposal queue based on the segmented positioning data and critical margin data in the first precursor screening control data, and determines the flow qualification mark corresponding to the candidate disposal queue based on the second precursor screening control data, thus obtaining segmented isolation flow data. Based on the segmented isolation flow data, the cell identifier corresponding to the target sodium-ion battery cell is written into the target disposal queue in the preset segmented isolation queue sequence. After the target sodium-ion battery cell enters the target disposal queue, the device acquires the verification response data, and performs closed-loop verification on the second precursor screening control data and the segmented isolation flow data according to the verification response data to obtain the aging screening closure result, and then updates the gas production precursor segmented reference data according to the aging screening closure result.

[0104] See Figure 1 , Figure 1The five process frames correspond sequentially to data acquisition and precursor object formation, segmented positioning and critical margin generation, cause mapping and rescreening lockout diversion, segmented isolation flow and target queue writing, and verification closed-loop validation and benchmark write-back. This process does not directly send aging data to the pass / fail judgment result, but first uses aging sampling data to form the precursor state object of the current aging stage, then uses the preceding process history data to form the preceding process cause object, and then gradually converges to the target treatment queue and closed screening result through segmented benchmark, critical margin, cause mapping and bidirectional treatment control quantity.

[0105] S101, acquire aging sampling data and previous process history data of the target sodium-ion battery cell after formation, and acquire gas-producing precursor segment reference data. The aging sampling data comes from the time-series sampling process of the target sodium-ion battery cell in the aging process, and is used to reflect the electrochemical and structural responses of the target sodium-ion battery cell during the aging stage. The previous process history data comes from the liquid injection and settling process and formation process before the target sodium-ion battery cell enters the aging process, and is used to reflect the gas-producing inducing factors already formed in the previous manufacturing stage. The gas-producing precursor segment reference data is used to provide stage boundaries and migration rules for subsequent precursor segment positioning, critical margin determination, and screening benchmark rewriting.

[0106] After obtaining the aging sampling data, the aging sampling data is processed into precursor response trajectory data to obtain gas production precursor response trajectory data. This gas production precursor response trajectory data is not a set of values ​​for a single sampling index, but rather a representation of the temporal evolution of a preset gas production precursor observation item during the aging sampling period, from response deviation and response persistence to response stabilization. See also... Figure 2 and Figure 3 After the aging sampling data enters the aging precursor response line, it is processed by precursor response trajectory processing to form gas production precursor response trajectory data. Figure 3 The aging response time band, normal response band, deviation trigger zone, persistence zone, and stabilization zone shown are used to indicate the process by which aging sampled data moves from the normal fluctuation range to the deviation state, persists in the deviation state, and returns to the stabilization state during the time-series progression. Precursor trajectories are extracted from this process to form a trajectory relationship set including deviation order, persistence relationship, and stabilization order, thereby obtaining gas production precursor response trajectory data.

[0107] After obtaining the preceding process history data, gas generation cause correlation processing is performed on the preceding process history data to obtain preceding gas generation cause correlation data. See [link to previous section] Figure 2The injection and settling history and the formation process history form induction markers in the preceding process induction line. These induction markers, based on the cell identifier of the target sodium-ion battery cell, form preceding gas generation induction correlation data. This preceding gas generation induction correlation data is not directly used as a screening conclusion in subsequent processing, but rather as a source of preceding process inductions, used to establish an induction-response mapping relationship with the gas generation precursor response trajectory data.

[0108] S102, based on the gas production precursor segmentation reference data, perform precursor segmentation positioning processing on the gas production precursor response trajectory data to obtain segmented positioning data, and generate critical margin data based on the segment boundary positions of the segmented positioning data in the gas production precursor segmentation reference data. See also Figure 4 After the precursor response trajectory data of gas production enters the precursor segmentation and localization process, it is matched with the precursor segment boundaries in the gas production risk progression strip to determine the current gas production precursor segment of the target sodium-ion battery cell. This current gas production precursor segment corresponds to... Figure 4 The current precursor segment in the process, and the segment boundary corresponding to the current precursor segment along the direction of gas production risk progression constitute the risk approach boundary.

[0109] After determining the current precursor segment and the risk approach boundary, the segment boundary distance between the current precursor segment and the risk approach boundary is determined. This segment boundary distance is used to characterize the distance of the current gas production precursor state of the target sodium-ion battery cell relative to the next risk progression boundary. Since the gas production precursor has a persistent manifestation characteristic during the aging process, the risk state corresponding to the same segment boundary distance is not the same under different response persistence relationships. Therefore, the response persistence relationship in the gas production precursor response trajectory data is used as a margin correction condition to persistently correct the segment boundary distance, obtaining critical margin data. Figure 4 The graphical logic that forms the critical margin data by continuously correcting the segment boundary distance corresponds to the above processing procedure.

[0110] The segmented positioning data and critical margin data are integrated to form the first precursor screening control data. This first precursor screening control data is used to characterize the precursory gas-producing segment location of the target sodium-ion battery cell during the aging process and its critical margin state relative to the risk approach boundary. This first precursor screening control data plays two control roles in subsequent processing: firstly, it limits the scope of the inducing factor association, ensuring that the involvement range of preceding process inducing factors matches the current precursor segment; secondly, it determines the candidate disposal queue, giving the target sodium-ion battery cell a clear candidate disposal direction before entering subsequent segmented isolation flow.

[0111] S103, the segmented location data in the first precursor screening control data is used to define the range of precipitating factors, and combined with the gas production precursor response trajectory data, precursor precipitating factor mapping relationship data is formed from the preceding gas production precipitating factor association data. See Figure 5The preceding gas production inducing factors are associated with data to form a preceding inducing factor pool. Segmented location data enters the gating structure corresponding to the inducing factor association range, which is used to limit the range of inducing factor markers participating in the screening under the current gas production precursor segment. The candidate inducing factor association data after being screened by the inducing factor association range enters the inducing factor receiving window. The receiving window is screened based on the preceding process period corresponding to the inducing factor marker and the aging response period corresponding to the gas production precursor response trajectory data, forming precursor inducing factor mapping relationship data.

[0112] After the precursor cause mapping relationship data is formed, rescreening stabilization tendency data and isolation / lockdown tendency data are generated from the precursor cause mapping relationship data. The rescreening stabilization tendency data is used to characterize the abnormal performance of the target sodium-ion battery cell towards delayed observation, verification, or stabilization recovery; the isolation / lockdown tendency data is used to characterize the abnormal performance of the target sodium-ion battery cell towards continuous gas production, safe isolation, or risk elimination. Using the critical margin data in the first precursor screening control data as the critical margin correction condition, the rescreening stabilization tendency data and the isolation / lockdown tendency data are used to determine the rescreening / lockdown diversion, thus obtaining the rescreening stabilization control quantity and the isolation / lockdown control quantity.

[0113] See Figure 7 The critical margin and the proximity of the induced response together constitute the phase diagram of the secondary screening blockade. The region with a high critical margin and a low proximity of the induced response corresponds to the secondary screening stabilization zone, the region with a low critical margin and a high proximity of the induced response corresponds to the isolation blockade zone, and the transition region between the two corresponds to the flow diversion and convergence zone. Figure 7 The directions for enhancing the stabilization and isolation / locking in the data are used to illustrate the common constraint relationship between the critical margin data and the precursor cause mapping data on the stabilization control quantity and the isolation / locking control quantity.

[0114] The re-screening stabilization control quantity and the isolation / lockdown control quantity are integrated to form the second precursor screening control data. This second precursor screening control data is used to characterize the disposal diversion status of the target sodium-ion battery cell in the re-screening stabilization direction and the isolation / lockdown direction, under the joint constraints of precursor cause mapping relationship data and critical margin data. This second precursor screening control data is used in subsequent processing to determine the flow qualification marker corresponding to the candidate disposal queue.

[0115] S104: The candidate disposal queue is determined by the segmented positioning data and critical margin data in the first precursor screening control data, and the circulation qualification mark corresponding to the candidate disposal queue is determined by the second precursor screening control data, thus obtaining segmented isolation circulation data. See also Figure 6The segmented positioning and critical margin in the first precursor screening control data enter the candidate treatment queue selection process. Segmented positioning is used to determine the initial candidate treatment queue, and critical margin is used to adjust the queue entry priority of the initial candidate treatment queue. The rescreening stabilization direction and isolation locking direction in the second precursor screening control data enter the circulation qualification determination process to form circulation qualification markers.

[0116] The candidate disposal queue and the transfer qualification marker together form segmented isolation transfer data. This segmented isolation transfer data characterizes the queue transfer relationship of the cell identifier corresponding to the target sodium-ion battery cell, from the candidate disposal queue to the target disposal queue. Based on the segmented isolation transfer data, the cell identifier corresponding to the target sodium-ion battery cell is written into the target disposal queue in a preset segmented isolation queue sequence. This preset segmented isolation queue sequence includes a normal aging queue, a delayed observation queue, a retest confirmation queue, a safety isolation queue, and a risk removal queue. Figure 6 The five-layer target disposal queue stack is used to characterize different disposal directions. The cell identifier is written into one of the target disposal queues in the five-layer queue stack, which does not mean that the target sodium-ion cell must flow through all queues in sequence.

[0117] S105: Obtain the verification response data of the target sodium-ion battery cell in the target disposal queue, and perform closed-loop verification of the second precursor screening control data and segmented isolation flow data based on the verification response data to obtain the aging screening closure result. The verification response data originates from the verification test, supplementary settling, low-rate retest, safety isolation observation, or risk elimination confirmation process after the target sodium-ion battery cell enters the target disposal queue. The verification response data is used to form the rescreening stabilization confirmation data and the isolation lockout confirmation data.

[0118] The re-screening stabilization confirmation data is used to verify the re-screening stabilization control quantity in the second precursor screening control data, and the isolation interlocking confirmation data is used to verify the isolation interlocking control quantity in the second precursor screening control data, thus obtaining the re-screening interlocking verification data. Subsequently, based on the re-screening interlocking verification data, the segmented isolation flow data is marked for closure, resulting in the aging screening closure result. The aging screening closure result is used to characterize the queue flow result, re-screening stabilization confirmation result, isolation interlocking confirmation result, and baseline write-back status of the target sodium-ion battery cell under the current aging screening process.

[0119] After the aging screening closure result is formed, the gas production precursor segment reference data is updated according to the aging screening closure result. The re-screening stabilization confirmation data is used to update the re-screening retention parameters in the gas production precursor segment reference data, and the isolation lockout confirmation data is used to update the isolation lockout parameters in the gas production precursor segment reference data. Thus, the aging screening process results have a reverse effect on the segment reference of subsequent batches or subsequent cells, so that the screening reference in this embodiment is no longer fixed at the initial threshold, but forms a closed-loop update under the constraint of the verification confirmation results.

[0120] In the overall process described above, aging sampling data is used to generate the current response state, preceding process history data is used to generate the preceding process cause state, gas production precursor segment baseline data is used to provide stage boundaries and migration rules, first precursor screening control data is used to control the candidate disposal queue, second precursor screening control data is used to control the rescreening stabilization direction and isolation lockout direction, and aging screening closure results are used to update the gas production precursor segment baseline data in reverse. Through this process, the target sodium-ion battery cell is no longer screened once based solely on the endpoint detection results during the aging process, but rather the aging screening is completed through continuous processing including gas production precursor manifestation, segmented positioning, cause mapping, rescreening lockout diversion, segmented isolation flow, and verification closed-loop writeback.

[0121] In the overall process described above, the precursory gas production response trajectory data and the preceding gas production inducing factor correlation data constitute the current response state line and the preceding process inducing factor state line of the aging stage, respectively. (See also...) Figure 2 and Figure 3 Using the aging sampling period corresponding to the aging sampling data as the segmentation benchmark, the aging sampling data is segmented to obtain aging response segments. Then, response deviation identification and response stabilization identification are performed on the preset gas production precursor observation items in the aging response segments to obtain segment response deviation data and segment response stabilization data corresponding to the aging response segments. Using the sampling time sequence position between adjacent aging response segments as the trajectory organization benchmark, the segment response deviation data and the segment response stabilization data are processed to obtain the response deviation order, response duration relationship, and response stabilization order. These three relationships are then constructed into gas production precursor response trajectory data. The gas production precursor response trajectory data is used to characterize the temporal evolution relationship of the preset gas production precursor observation items from response deviation, response duration to response stabilization within the aging sampling period.

[0122] In parallel with the gas production precursor response trajectory data, using the cell identifier of the target sodium-ion battery cell as a history index, the liquid injection and standing history data and the formation process history data are determined from the preceding process history data; the liquid injection and standing history data are used to identify wetting hysteresis inducing factors and form wetting hysteresis inducing factor markers; the formation process history data are used to identify film formation stability inducing factors and polarization residue inducing factors and form film formation stability inducing factor markers and polarization residue inducing factor markers; and the wetting hysteresis inducing factor markers, the film formation stability inducing factor markers, and the polarization residue inducing factor markers are associated with the cell identifier as preceding gas production inducing factor association data.

[0123] See Figure 3 After the aging sampling data enters the aging response time band, the aging response time band is divided into multiple aging response segments according to the sampling sequence. Each aging response segment has a segment start time, segment end time, segment number, and a set of sampling points within the segment. The division of aging response segments is based on at least one of the following: total aging time, resting phase, retesting phase, abnormal triggering node, and preset aging response segment length. The sampling period of the aging sampling data is determined by the capacity specifications of the target sodium-ion battery cell, the aging process cycle time, safety strategies, and the capabilities of the data acquisition equipment. Within the stable range of the aging process, aging response segments are generated according to a fixed sampling period. After an abnormal triggering node is detected, the segment length of the corresponding interval is shortened according to a segmented variable sampling period, so that the response changes corresponding to the abnormal manifestation stage are preserved between adjacent aging response segments.

[0124] The preset gas production precursor observation items are selected from at least two of the following: open-circuit voltage response, impedance response, temperature response, casing thickness response, internal pressure response, and settling stabilization response. The open-circuit voltage response is used to characterize the voltage drop, rebound, tailing, and abnormal voltage drop of the target sodium-ion battery cell during the aging and settling process; the impedance response is used to characterize the rise, fall, and fluctuation of the internal resistance or AC impedance of the target sodium-ion battery cell during the aging process; the temperature response is used to characterize the slight temperature rise and abnormal temperature rise caused by the side reaction; the casing thickness response is used to characterize the gradual change in casing thickness and deformation before bulging caused by gas production; the internal pressure response is used to characterize the gradual increase, fluctuation, and continuous rise of the internal pressure of the target sodium-ion battery cell; and the settling stabilization response is used to characterize the recovery of at least one of the observation items, such as open-circuit voltage, impedance, temperature, casing thickness, and internal pressure, to a stable range after supplementary settling or retesting.

[0125] The open-circuit voltage response is formed by time-series sampling of the voltage across the target sodium-ion battery cell during the aging and settling process. It is expressed as the segment-end voltage value, segment voltage change, and voltage drop per unit time. The impedance response is obtained from DC internal resistance testing or AC impedance testing. It is expressed as the segment impedance value, impedance rise, and impedance drop. The temperature response is obtained from the aging chamber temperature sensor or the battery cell surface temperature sampling device. It is expressed as the segment temperature value, segment temperature rise, and temperature drop. The casing thickness response is obtained from a thickness detection mechanism or displacement detection mechanism. It is expressed as the casing thickness value, thickness change, and continuous thickness change. The internal pressure response is formed from an internal pressure detection device, casing shape calculation results, or equivalent pressure characterization data related to internal pressure. It is expressed as the internal pressure value, internal pressure change, and continuous internal pressure rise. The static stabilization response term is formed by the drop in open-circuit voltage, impedance, temperature, shell thickness, or internal pressure after supplementary static or retesting. Its expression includes stabilization amplitude, stabilization duration, and fluctuation range after stabilization.

[0126] Within each aging response segment, a corresponding baseline range, deviation threshold, stabilization range, and stabilization retention threshold are configured for each preset gas production precursor observation item. The baseline range is determined by normal aging samples under the same material system, capacity specifications, and aging regime, and includes an upper and lower baseline. The deviation threshold limits the minimum deviation magnitude of the sampled response value from the baseline range before it enters the segment response deviation data. The stabilization range is located within the corresponding baseline range or has a preset overlap with the corresponding baseline range, and is used to limit whether the sampled response value recovers to a stable state after deviation. The stabilization retention threshold limits the minimum number of segments or the minimum duration for the sampled response value to remain stable in continuous aging response segments after deviation.

[0127] For the r-th preset gas production precursor observation item in the s-th aging response segment, a segment representative value is determined based on the set of sampling points within the aging response segment. The segment representative value is formed from the median value of the sampling points within the segment, the stable value at the end of the segment, or the segment mean after removing abnormal sampling points. The segment representative value is compared with the corresponding upper and lower limit benchmarks. When the segment representative value exceeds the corresponding benchmark range, and the excess reaches the corresponding deviation threshold, the observation item is marked as having experienced a response deviation in the aging response segment, and segment response deviation data is generated. When the same observation item continuously maintains a response deviation in adjacent aging response segments, the number of segments with the deviation, the cumulative duration, the direction of deviation, and the continuity of deviation are recorded to form the basic data for the response persistence relationship.

[0128] When identifying response deviations, transient changes at a single sampling point do not directly constitute segment response deviation data. A consistency check is performed on other sampling points within the aging response segment containing that sampling point. If, within that segment, a preset proportion of sampling points for the same observation deviate from the baseline range, or if the stable value of that observation at the end of the segment exceeds the baseline range, a response deviation is confirmed for that aging response segment. Through this process, equipment glitches, transient noise, and non-persistent sampling disturbances will not be mistakenly identified as precursory gas production responses.

[0129] Response stabilization identification is performed after response deviation identification. For a preset gas production precursor observation item that has already experienced response deviation, it is determined whether the segment representative value of this observation item in subsequent aging response segments enters the corresponding stabilization range, and whether its stabilization speed, stabilization duration, and post-stabilization fluctuation amplitude meet preset stabilization rules. When the segment representative value enters the stabilization range and meets the stabilization duration threshold in continuous aging response segments, segment response stabilization data is generated. The segment response stabilization data includes the stabilization observation item identifier, the stabilization segment, the stabilization amplitude, the number of stabilization duration segments, the post-stabilization fluctuation range, and the stabilization direction.

[0130] The segment response deviation data includes the deviation observation item identifier, the segment in which the deviation occurred, the deviation direction, the deviation magnitude, the deviation trigger time, and the deviation holding state. The segment response stabilization data includes the stabilization observation item identifier, the stabilization segment in which stabilization occurred, the stabilization magnitude, the stabilization holding state, the fluctuation range after stabilization, and the stabilization trigger time. Based on the sampling time sequence between adjacent aging response segments, the segment response deviation data and segment response stabilization data are processed to form the response deviation order, the response duration relationship, and the response stabilization order.

[0131] The response deviation order refers to the sampling time sequence of the first occurrence of response deviations in multiple preset gas-producing precursor observation items. For example, if the temperature response item deviates before the internal pressure response item, and the internal pressure response item deviates before the shell thickness response item, the above deviation sequence is recorded in the response deviation order. The response duration relationship refers to the deviation duration of the same or multiple preset gas-producing precursor observation items in adjacent aging response segments, including the number of deviation duration segments, deviation duration, continuity of deviation state, and maintenance of deviation direction. The response stabilization order refers to the sampling time sequence of multiple preset gas-producing precursor observation items recovering from the deviation state to the stabilization range. The response deviation order, response duration relationship, and response stabilization order together characterize the gas-producing precursor manifestation trajectory of the target sodium-ion battery cell during the aging process.

[0132] See Figure 3 , Figure 3The aging response time band is divided into segments 1 to 5 according to the sampling sequence. The normal response band is used to define the baseline fluctuation range of the preset gas production precursor observation item during the aging stage. The position where the response curve deviates from the normal response band forms the deviation trigger zone, the interval that remains outside the normal response band forms the persistence zone, and the position where the response curve returns to the normal response band forms the stabilization zone. Precursor trajectories are extracted from the deviation trigger zone, persistence zone, and stabilization zone to obtain a trajectory relationship group consisting of deviation order, persistence relationship, and stabilization order. The gas production precursor response trajectory data is formed from the trajectory relationship group. Therefore, the gas production precursor response trajectory data is not a single detection value, but a state object formed by the temporal evolution relationship of response deviation, response persistence, and response stabilization during the aging sampling period.

[0133] exist Figure 3 During the trajectory extraction process shown, the deviation trigger zone corresponds to the generation position of the segment response deviation data, the continuous zone corresponds to the formation position of the response continuity relationship, and the stabilization zone corresponds to the formation position of the segment response stabilization data and the response stabilization sequence. After the above three graphic regions are extracted from the precursor trajectory, a trajectory relationship group is formed. The trajectory relationship group is the internal composition relationship of the gas production precursor response trajectory data.

[0134] In one embodiment, the gas production precursor response trajectory value corresponding to the s-th aging response segment is determined according to the following formula: ,in R represents the gas production precursor response trajectory value corresponding to the s-th aging response segment; R represents the preset set of gas production precursor observation items; This represents the sampled response value of the r-th preset gas production precursor observation item in the s-th aging response segment; This represents the upper limit benchmark corresponding to the r-th preset gas production precursor observation item; This represents the lower limit benchmark corresponding to the r-th preset gas production precursor observation item; This indicates that the positive part is taken. If the value inside the parentheses is greater than zero, the value is retained; if the value inside the parentheses is not greater than zero, zero is taken. This represents the duration of the response corresponding to the s-th aging response segment; This represents the response stabilization value corresponding to the s-th aging response segment; This indicates the sequential coupling marker corresponding to the s-th aging response segment; This indicates a positive number used to prevent the denominator from being zero.

[0135] In the above formula, the maximum normalization deviation term is used to capture the gas production precursor observation term that is the first or the strongest to appear within the s-th aging response segment. It is used to characterize the amplifying effect of the response duration on the gas production precursor response trajectory value and the weakening effect of the response stabilization value on the gas production precursor response trajectory value. This formula is used to characterize the sequential relationship of deviations between different preset gas-producing precursor observation items. The formula forms the gas-producing precursor response trajectory value through the maximum normalized deviation, continuous response amplification, response stabilization weakening, and sequential coupling relationship, so that the occasional fluctuation of a single observation item will not directly determine the gas-producing precursor state of the target sodium-ion battery cell.

[0136] Among them, response duration The duration of response is determined by the number of consecutive response deviations within the s-th aging response segment and its preceding adjacent segments. For the same preset gas production precursor observation item, when the observation item experiences consecutive response deviations within the s-th aging response segment and its preceding adjacent segments, the response duration is generated based on the number of consecutive deviation segments, the duration of deviation, and the consistency of the deviation direction. When multiple pre-defined precursory gas production observations simultaneously deviate in adjacent aging response segments, the persistence of the observations consistent with the order in which gas production risk manifests is included in the response persistence. The larger the response persistence, the less easily the deviation can be explained by short-term disturbances.

[0137] Response stabilization The stabilization magnitude is determined by the stabilization amplitude, the number of stabilization-holding segments, and the fluctuation range after stabilization within the s-th aging response segment and its subsequent adjacent segments. For observations that have already deviated from their response, when the observation enters the corresponding stabilization range and meets the stabilization-holding threshold, the response stabilization quantity is generated based on the stabilization amplitude and the number of stabilization-holding segments. When an observed item enters the stabilization range and then leaves the stabilization range again, the contribution of that observed item to the stabilization of the response is reduced, so that a brief decline will not be misjudged as a stable stabilization.

[0138] Sequential coupling mark The sequence is determined by a preset response deviation order. This preset response deviation order characterizes the sequential relationship between observations related to the manifestation of gas production risk. In one embodiment, when at least two of the temperature response, internal pressure response, shell thickness response, and open-circuit voltage response form a deviation sequence consistent with the manifestation of gas production risk, the sequence coupling flag takes a value greater than zero; when no such deviation sequence is formed, the sequence coupling flag takes a value of zero. The sequence coupling flag is used to enhance the influence of the synergistic manifestation of multiple observations in the gas production precursor response trajectory value, distinguishing between isolated deviations of a single observation and sequential deviations of multiple observations on the trajectory value.

[0139] See Figure 2The preceding process induction line is used to generate preceding gas generation induction correlation data. Using the target sodium-ion battery cell's cell identifier as a history index, the liquid injection and settling history data and the formation process history data are determined from the preceding process history data. The liquid injection and settling history data includes the injection volume, vacuum holding time, pressure recovery curve, settling time, cell quality changes, and wetting hysteresis records. The formation process history data includes the formation voltage curve, formation current curve, formation temperature rise curve, first-cycle capacity, initial impedance, and film consumption characteristics. The above history data are indexed according to cell identifier, process identifier, sampling period, and equipment identifier, enabling unified access to data from the same target sodium-ion battery cell during the liquid injection and settling, formation, and aging stages by computer equipment.

[0140] Wetting hysteresis causes are identified in the electrolyte injection and settling history data, forming wetting hysteresis cause markers. Specifically, pressure recovery curves, cell quality changes, settling time, and wetting hysteresis records are read from the electrolyte injection and settling history data. When the pressure recovery curve exhibits tailing within a preset settling time period, or the cell quality change does not reach a preset electrolyte injection absorption stability range, or the wetting hysteresis record indicates insufficient pore acceptance of the hard carbon negative electrode, a wetting hysteresis cause marker is generated. The wetting hysteresis cause marker is used to characterize the preceding process causes of localized insufficient wetting or delayed electrolyte acceptance in the target sodium-ion cell during the electrolyte injection and settling stage. The wetting hysteresis cause marker includes fields for cell identification, cause type, electrolyte injection and settling process identification, cause occurrence time, wetting hysteresis intensity, and cause source.

[0141] Film-forming stability inducing factors are identified from the formation process history data, forming film-forming stability inducing factor markers. Specifically, formation voltage curves, formation current curves, formation temperature rise curves, first-cycle capacity, and film-forming consumption characteristics are read from the formation process history data. When the film-forming plateau in the formation voltage curve shows an abnormal shift, the formation temperature rise curve exceeds a preset temperature rise range, the first-cycle capacity loss exceeds a preset film-forming consumption range, or the deviation between the film-forming consumption characteristics and normal film-forming samples reaches a preset film-forming deviation threshold, a film-forming stability inducing factor marker is generated. The film-forming stability inducing factor marker is used to characterize the preceding process inducing factors that cause unstable electrode interface film formation in the target sodium-ion battery cell during the formation stage. The film-forming stability inducing factor marker includes fields such as cell identifier, inducing factor type, formation process identifier, inducing factor occurrence time, film-forming deviation intensity, and inducing factor source.

[0142] Polarization residue inducing factors are identified from the formation process history data, forming polarization residue inducing factor markers. Specifically, initial impedance, changes in formation end voltage, discharge plateau changes, and low-rate fallback information are read from the formation process history data. When the initial impedance is higher than a preset impedance reference, the discharge plateau has a deviation of more than a preset amplitude, or the low-rate fallback information indicates that the polarization state has not been fully released within a preset time period, a polarization residue inducing factor marker is generated. The polarization residue inducing factor marker is used to characterize the pre-process inducing factors that still exist in the target sodium-ion battery cell after formation and before entering the aging process, such as local polarization or insufficiently stable electrochemical state. The polarization residue inducing factor marker includes fields such as cell identifier, inducing factor type, formation process identifier, inducing factor occurrence time, polarization residue intensity, and inducing factor source.

[0143] Wetting hysteresis inducing factors, film-forming stability inducing factors, and polarization residue inducing factors are associated with cell identifiers to form preceding gas generation inducing factor association data. This preceding gas generation inducing factor association data includes cell identifier, inducing factor type, inducing factor occurrence process, inducing factor occurrence time period, inducing factor intensity, and inducing factor source fields. The inducing factor occurrence time period is used to jointly construct an inducing factor receiving window with the aging response time period corresponding to the aging response segment in subsequent processing; the inducing factor intensity is used to characterize the potential impact of the preceding process inducing factor on the precursory gas generation response in the aging stage; the inducing factor source field is used to record that the inducing factor marker comes from the liquid injection and settling history data or the formation process history data. Therefore, the preceding gas generation inducing factor association data not only records the existence of preceding inducing factors but also records the type, time period, and intensity of the preceding inducing factors, providing a data foundation for the subsequent formation of precursory inducing factor mapping relationship data.

[0144] In cases where missing observations exist in the aging sampling data, precursor gas production response trajectory data is generated based on the remaining valid observations, and the missing observations are excluded from the triggers that deviate from the response order. Missing observations are still marked as missing in the aging response segment for subsequent determination of whether the number of valid observations in that segment meets the minimum observation requirement. When the number of valid observations is lower than the minimum observation requirement, the aging response segment is not used as a direct basis for precursor segment location; instead, it is marked as a segment to be supplemented or an observation segment.

[0145] A sampled value is marked as invalid if it contains a device fault marker, exceeds the device's range, or exhibits abrupt changes with adjacent sampling points that are inconsistent with the device's physical response capability. Invalid sampled values ​​are not included in response deviation identification, response stabilization identification, or the calculation of gas production precursor response trajectory values. The device anomaly record corresponding to the invalid sampled value is retained to distinguish between device sampling anomalies and actual cell response anomalies during subsequent data tracing. Through the above processing, even in cases where some sampling items are missing or abnormal, the gas production precursor response trajectory data still maintains the temporal evolution relationship corresponding to the valid observation items.

[0146] In one embodiment, see Figure 4 Based on the gas production precursor segmentation benchmark data, the gas production precursor response trajectory data is processed for precursor segmentation and localization. Precursor segment boundaries and segment migration conditions are determined from the gas production precursor segmentation benchmark data. The precursor segment boundaries are configured in a progressive order of gas production risk, and the segment migration conditions include precursor progression conditions and stabilization migration conditions. The gas production precursor response trajectory data is segmented and matched with the precursor segment boundaries to obtain candidate precursor segments. These candidate precursor segments are then migrated and verified using the segment migration conditions to determine the gas production precursor segment currently corresponding to the target sodium-ion battery cell. Segmentation and localization data are then formed from the currently corresponding gas production precursor segment.

[0147] Further, the current gas-producing precursor segment is determined from the segmented positioning data, and the precursor segment boundary corresponding to the current gas-producing precursor segment along the gas-producing risk progression direction is determined as the risk approach boundary in the gas-producing precursor segment reference data; then, the segment boundary distance between the current gas-producing precursor segment and the risk approach boundary is determined, and the segment boundary distance is continuously corrected using the response persistence relationship of the gas-producing precursor response trajectory data as a margin correction condition to obtain critical margin data. The segmented positioning data and the critical margin data are integrated to form the first precursor screening control data. The first precursor screening control data is used to characterize the gas-producing precursor segment position and the critical margin state relative to the risk approach boundary of the target sodium-ion battery cell during the aging process.

[0148] See Figure 4 The gas production risk progression band is used to characterize the segmented relationship of the target sodium-ion battery cell as it progresses from a low-risk precursor state to a high-risk precursor state during the aging process. Figure 4 The current precursor segment in the data represents the segment position of the target sodium-ion battery cell based on the gas production precursor response trajectory data. The risk approach boundary represents the boundary position of the current precursor segment along the gas production risk progression direction. The segment boundary distance represents the distance between the current precursor state and the risk approach boundary. Figure 4 In the process, the segment boundary distance and response persistence relationship are jointly fed into the persistence correction node, which outputs critical margin data. This critical margin data is integrated with the segment positioning data to form the first precursor screening control data. Therefore, Figure 4 The critical margin data shown is not a threshold difference that exists independently of the segmented positioning data, but rather a control object formed by the segmented positioning results, the risk approach boundary, and the response continuity relationship.

[0149] Figure 4The segmented location data and critical margin data shown at the bottom are jointly input into the first precursor screening control data. The segmented location data is used to limit the precursor segment position where the target sodium-ion battery cell is located, and the critical margin data is used to limit the remaining control margin of the precursor segment position relative to the risk approach boundary. Together, they serve as input data for limiting the subsequent cause association range and determining the candidate treatment queue.

[0150] In this embodiment, the pre-gas production threshold data is derived from historical samples and process specifications within the manufacturing system corresponding to the target sodium-ion battery cell. The historical samples include historical normal aging samples, abnormal gas production samples, re-screening recovery samples, safety isolation samples, and risk rejection samples. The process specifications include material system parameters, capacity specification parameters, electrolyte injection process parameters, formation regime parameters, and aging process parameters. The historical samples are stratified according to material system, capacity specification, electrolyte injection process, formation regime, and aging regime. Within each stratified sample, a corresponding threshold is formed based on the pre-gas production response trajectory value, response duration relationship, response stabilization sequence, verification results, and isolation results.

[0151] During the initial configuration phase, the rescreening retention parameters are determined based on the proportion of historical rescreening recovery samples that can recover to a stable range after supplementary settling or low-magnification retesting. The isolation lockout parameters are determined based on the proportion of historical safe isolation samples and risk rejection samples that show a continuous increase in internal pressure, a continuous increase in shell thickness, or an abnormal progression in temperature. For new material systems lacking historical samples, the rescreening retention parameters and isolation lockout parameters are initialized based on historical samples with the same capacity specifications, similar electrolyte systems, and similar formation regimes, and are gradually corrected according to the verification response data during the subsequent closed-loop write-back process.

[0152] The precursor gas production segment baseline data includes precursor segment identifiers, low-risk side boundaries, high-risk side boundaries, intra-segment observation conditions, precursor progression conditions, stabilization and migration conditions, rescreening retention parameters, isolation and blocking parameters, and material system adaptation identifiers. Precursor segment identifiers distinguish different precursor gas production segments; the low-risk and high-risk side boundaries jointly define the response trajectory value range corresponding to the precursor segment; intra-segment observation conditions define the combination of observation items required to enter the precursor segment; precursor progression conditions define the migration requirements from a low-risk segment to a high-risk segment; stabilization and migration conditions define the requirements for retreating from the current segment to a low-risk side segment or maintaining observation; rescreening retention parameters and isolation and blocking parameters are used for subsequent rescreening stabilization and isolation and blocking direction baseline rewriting, respectively; and material system adaptation identifiers distinguish segment baselines corresponding to different cathode systems, hard carbon anode systems, electrolyte systems, and capacity specifications.

[0153] In one embodiment, the boundaries of the precursor segments are configured according to the progressive order of gas production risk as the boundaries between the interface relaxation observation segment, the side reaction initiation segment, the trace gas production accumulation segment, the gas production expansion segment, and the risk lockout segment. The interface relaxation observation segment is used to characterize that the interface film is still in a stable adjustment process after formation, and the open-circuit voltage response or impedance response exhibits slight rebound without forming internal pressure or shell thickness anomalies; the side reaction initiation segment is used to characterize that the temperature response, impedance response, or open-circuit voltage response begins to deviate, but the deviation relationship has not yet reached a high-risk progressive state; the trace gas production accumulation segment is used to characterize that the internal pressure response or shell thickness response exhibits slow changes and forms a time-series correlation with at least one electrochemical response; the gas production expansion segment is used to characterize that at least two of the observed items among internal pressure, shell thickness, temperature, and open-circuit voltage form a synergistic progression; the risk lockout segment is used to characterize that the target sodium-ion battery cell has reached a state where it is unsuitable to continue entering the normal aging and sorting process.

[0154] During segmented matching, the gas production precursor response trajectory value corresponding to the s-th aging response segment is read. And read the low-risk side boundary corresponding to the j-th gas production precursor segment in the gas production precursor segment baseline data. and high-risk side boundary Simultaneously, the number of observation conditions within the s-th aging response segment that satisfy the j-th gas production precursor segment is counted, denoted as [missing information]. And read the minimum number of observation conditions corresponding to the gas production precursor segment. The candidate precursor segment set is formed according to the following formula: ,in This represents the set of candidate precursor segments corresponding to the s-th aging response segment; j represents the sequence number of the gas production precursor segment. This represents the gas production precursor response trajectory value corresponding to the s-th aging response segment; This represents the low-risk side boundary of the j-th gas-producing precursor segment; This represents the high-risk side boundary of the j-th gas-producing precursor segment; This indicates the number of intra-segment observation conditions that satisfy the gas production precursor segment of the s-th aging response segment; This represents the minimum number of observation conditions corresponding to the j-th gas production precursor segment.

[0155] The aforementioned candidate precursor segment set is not determined solely by which interval the gas-producing precursor response trajectory value falls into, but also requires that the current aging response segment meets the observation item combination conditions corresponding to that segment. Therefore, a high-amplitude fluctuation of a single observation item will not directly trigger a high-risk segment; only after multiple observation items form a response relationship consistent with that segment will they enter the candidate precursor segment.

[0156] After obtaining candidate precursor segments, migration verification is performed on these segments based on segment migration conditions. These segment migration conditions include precursor progression conditions and stabilization migration conditions. The precursor progression condition is used to determine whether the target sodium-ion battery cell migrates from a low-risk segment to a high-risk segment, while the stabilization migration condition is used to determine whether the target sodium-ion battery cell regresses from the current segment to a low-risk segment or remains under observation.

[0157] In one embodiment, the precursor progression conditions include at least one of the following: the precursor response trajectory value increases in consecutive aging response segments; the response duration reaches a preset number of duration segments; the temperature response term and the internal pressure response term form a sequential deviation relationship; the internal pressure response term and the shell thickness response term form a continuous deviation relationship; the abnormal decline of the open-circuit voltage response term and the rise of the impedance response term coexist in adjacent aging response segments; the precursor progression amount of the s-th aging response segment reaches the progression threshold of the current precursor segment. When at least one of the aforementioned conditions satisfies the progression rule corresponding to the precursor segment reference data, the candidate precursor segment is confirmed to have the conditions to migrate in the direction of precursor risk progression.

[0158] In one embodiment, the stabilization migration conditions include at least one of the following: the response stabilization sequence indicates that at least one previously deviated observation has returned to the stabilization range; the response stabilization amount meets the stabilization maintenance requirements of the corresponding segment; at least one of the retested or supplemented open-circuit voltage response, impedance response, temperature response, internal pressure response, or shell thickness response has recovered to the stable range; the current gas production precursor response trajectory value has not continued to increase relative to the previous aging response segment; and the number of stabilization maintenance segments corresponding to the candidate precursor segment reaches the stabilization maintenance threshold configured in the gas production precursor segment reference data. When the aforementioned conditions meet the stabilization rules corresponding to the gas production precursor segment reference data, it is confirmed that the candidate precursor segment has the conditions to be corrected to the low-risk side or to maintain observation.

[0159] To avoid frequent jumps in segmented positioning results between adjacent aging response segments, segmented hysteresis processing is introduced in the migration verification. When the current aging response segment has entered a higher-risk segment, it will only regress to a lower-risk segment after meeting the stabilization migration condition and reaching the stabilization retention threshold. When the current aging response segment is in a lower-risk segment, it will only migrate to a higher-risk segment after meeting the precursor progression condition and reaching the progression retention threshold. When the same aging response segment simultaneously meets both the precursor progression condition and the stabilization migration condition, the segment migration direction is determined by combining the safety isolation priority rule. In cases involving continuous increases in internal pressure, continuous increases in shell thickness, or abnormal temperature progression, the high-risk segment results are retained first.

[0160] After migration verification, the segment results that meet the precursor progression condition, stabilization migration condition, or maintenance condition are retained, and these segment results are identified as the current gas-producing precursor segment corresponding to the target sodium-ion battery cell. Segment location data is formed from the currently corresponding gas-producing precursor segment. The segment location data includes the battery cell identifier, the current gas-producing precursor segment, candidate precursor segments, segment confirmation period, segment migration direction, segment verification mark, and segment confirmation strength. The segment confirmation period characterizes the confirmation time position of the current gas-producing precursor segment; the segment migration direction characterizes whether the target sodium-ion battery cell is in a risk progression, stabilization correction, or segment maintenance state relative to the previous aging response segment; the segment verification mark records the segment location data obtained from the precursor progression condition, stabilization migration condition, or maintenance condition; and the segment confirmation strength characterizes the degree of matching between the current segment location result and the gas-producing precursor segment reference data.

[0161] After determining the segmented positioning data, the boundary of the precursor segment corresponding to the current gas-producing precursor segment along the direction of increasing gas production risk is determined in the gas-producing precursor segment baseline data, and this precursor segment boundary is defined as the risk approach boundary. The risk approach boundary is used to indicate the boundary position that the target sodium-ion battery cell needs to cross to enter a higher-risk segment from the current gas-producing precursor segment. For the current gas-producing precursor segment before the risk-locked segment, the risk approach boundary is its high-risk side boundary; for the target sodium-ion battery cell that has already entered the risk-locked segment, the risk approach boundary corresponds to the lockout determination boundary defined by the isolation lockout parameters.

[0162] Determine the segment boundary distance between the current gas-producing precursor segment and the risk approach boundary. This segment boundary distance is obtained by the difference between the current gas-producing precursor response trajectory value and the risk approach boundary, and is standardized according to the boundary width of the current gas-producing precursor segment. A smaller segment boundary distance indicates that the current precursor state of the target sodium-ion battery cell is closer to the next risk segment. A larger segment boundary distance indicates that the current precursor state of the target sodium-ion battery cell still has a significant margin before reaching the next risk segment.

[0163] After obtaining the segment boundary distances, the response persistence relationship in the gas production precursor response trajectory data is used as the margin correction condition to continuously correct the segment boundary distances. The response persistence relationship reflects the retention of the deviation state in adjacent aging response segments. When the response persistence relationship indicates that the deviation state is continuously strengthening or the precursor progression is increasing, the critical margin data is reduced even if the segment boundary distance has not been completely consumed, so that the target sodium-ion battery cell can enter the re-screening confirmation or isolation blocking direction earlier in subsequent processing. When the response stabilization amount is high and the response persistence relationship weakens, the critical margin data is increased accordingly, so that the target sodium-ion battery cell with a stabilization trend retains space for delayed observation or re-testing confirmation.

[0164] In one implementation, the critical margin data corresponding to the s-th aging response segment is generated according to the following formula: ,in This represents the critical margin data corresponding to the s-th aging response segment; This indicates the risk approach boundary corresponding to the current gas production precursor segment along the direction of gas production risk progression; This indicates the retreat boundary or low-risk side boundary of the current gas production precursor segment; This represents the gas production precursor response trajectory value corresponding to the s-th aging response segment; Indicates taking the positive part; This represents the response stabilization value corresponding to the s-th aging response segment; This represents the duration of the response corresponding to the s-th aging response segment; This represents the precursor increment of the s-th aging response segment relative to the previous aging response segment; This indicates a positive number used to prevent the denominator from being zero.

[0165] In the above formula, Used to characterize the remaining boundary distance between the current gas production precursor response trajectory value and the risk approach boundary; The boundary width is used to characterize the current gas-producing precursor segment. The ratio between the two is used to standardize the segment boundary distance. The second product term... Used to introduce persistent corrections, where the response stabilizes. As the value increases, the critical margin data also increases; response duration or precursor increment As the threshold increases, the critical margin data decreases accordingly. Therefore, the critical margin data is not simply determined by the difference between the current response trajectory value and the threshold, but is obtained by a combination of factors including the segment boundary distance, the response stabilization amount, the response duration, and the precursor progression amount.

[0166] The precursor increment The precursor response trajectory value is determined by the change in the gas production precursor response trajectory value between adjacent aging response segments. When the gas production precursor response trajectory value corresponding to the s-th aging response segment is higher than that of the previous aging response segment, and the direction of increase is consistent with the progression of gas production risk, the corresponding increase is recorded as the precursor progression amount; when the gas production precursor response trajectory value corresponding to the s-th aging response segment is not higher than that of the previous aging response segment, the precursor progression amount is zero. Through the precursor progression amount, the critical margin data reflects the continuous approaching trend of gas production precursors, rather than just reflecting the current single-point state.

[0167] After generating the critical margin data, boundary truncation is performed on the critical margin data to ensure that it falls within a preset margin range. When the calculated critical margin data is less than the preset lower limit, it is recorded as the preset lower limit; when the calculated critical margin data is greater than the preset upper limit, it is recorded as the preset upper limit. Through boundary truncation, the critical margin data maintains a consistent dimension in subsequent candidate disposal queue determination and rescreening and blocking triage judgment.

[0168] See Figure 7 The critical margin data is used as a lateral control object in the subsequent rescreening and blocking phase diagram. When the critical margin is high, the target sodium-ion cell is closer to the rescreening stabilization direction; when the critical margin is low, the target sodium-ion cell is closer to the isolation blocking direction. Figure 7 The diversion and convergence zone in the diagram indicates that the critical margin is insufficient to determine the direction of rescreening or locking alone, and further judgment is needed by combining the proximity of the causal response corresponding to the precursor causal mapping data. Therefore, in this embodiment, the critical margin data is used both to form the first precursor screening control data and to correct the treatment direction in the subsequent rescreening and locking diversion determination.

[0169] The segmented location data and critical margin data are integrated to form the first precursor screening control data. This first precursor screening control data includes cell identification, current gas-producing precursor segment, candidate precursor segment, segment migration direction, risk approach boundary, segment boundary distance, critical margin data, segment confirmation period, segment verification mark, and segment confirmation intensity. This first precursor screening control data is used to characterize the gas-producing precursor segment location and critical margin status relative to the risk approach boundary of the target sodium-ion battery cell during the aging process. In subsequent processing, this first precursor screening control data is used to limit the range of causal associations, determine the candidate treatment queue, and provide critical margin correction conditions.

[0170] In one embodiment, when the target sodium-ion battery cell is in the interface relaxation observation stage and the critical margin data is high, the first precursor screening control data points to the normal aging or delayed observation direction; when the target sodium-ion battery cell is in the trace gas accumulation stage and the critical margin data decreases, the first precursor screening control data points to the retest confirmation or safety isolation direction; when the target sodium-ion battery cell is in the gas expansion stage and the critical margin data is close to the preset lower limit, the first precursor screening control data points to the safety isolation or risk elimination direction. These directions do not directly constitute the final disposal result, but are used in subsequent processing, together with the precursor cause mapping relationship data and the second precursor screening control data, to determine the target disposal queue.

[0171] In one embodiment, see Figure 5Using the segmented positioning data corresponding to the gas-producing precursor segments in the first precursor screening control data as the association screening segments, the inducing factor association range corresponding to the target sodium-ion battery cell is determined. Inducing factor markers corresponding to the inducing factor association range are extracted from the preceding gas-producing inducing factor association data to form candidate inducing factor association data. Based on the preceding process time period corresponding to the inducing factor marker and the aging response time period corresponding to the gas-producing precursor response trajectory data, an inducing factor acceptance window is constructed. Within the inducing factor acceptance window, the candidate inducing factor association data is screened to obtain inducing factor window mapping data, and the inducing factor window mapping data forms the precursoring factor mapping relationship data. The precursoring factor mapping relationship data is used to characterize the time period mapping relationship formed between the inducing factor marker and the gas-producing precursor response trajectory data within the inducing factor acceptance window.

[0172] Further, see Figure 7 The rescreening stabilization tendency data and isolation / lockdown tendency data are generated from the precursor cause mapping relationship data. The critical margin data in the first precursor screening control data is used as a critical margin correction condition to correct the rescreening stabilization tendency data, resulting in a rescreening stabilization control quantity. Similarly, the isolation / lockdown tendency data is corrected using the critical margin data in the first precursor screening control data, resulting in an isolation / lockdown control quantity. The rescreening stabilization control quantity and the isolation / lockdown control quantity are integrated to form the second precursor screening control data. This second precursor screening control data is used to characterize the treatment diversion state of the target sodium-ion battery cell in the rescreening stabilization direction and the isolation / lockdown direction under the joint constraints of the precursor cause mapping relationship data and the critical margin data.

[0173] See Figure 5 In the diagram, preceding gas production inducing factors are represented as a preceding inducing factor pool. The inducing factor association range is represented as a gating structure controlled by segmented positioning data. The inducing factor acceptance window is represented as a window filtering area connecting the preceding process period and the aging response period. This graphical relationship illustrates that preceding process inducing factors do not directly enter the rescreening and blocking diversion determination. Instead, they are first limited by the current gas production precursor segment, and then filtered by the acceptance window between the preceding process period and the aging response period, ultimately forming precursoring factor mapping relationship data. Therefore, the precursoring factor mapping relationship data simultaneously includes inducing factor type relationships, time period acceptance relationships, and response manifestation relationships.

[0174] Figure 5 The preceding cause pool on the left consists of wetting hysteresis cause markers, film-forming stability cause markers, and polarization residual cause markers. The preceding cause pool does not enter the precursor cause mapping relationship data as a whole. Instead, it is first gated by the cause association range corresponding to the segmented positioning data, and then filtered by the cause receiving window for the time period.

[0175] In this embodiment, the inducing factor association range is determined by the segmented positioning data in the first precursor screening control data. The segmented positioning data characterizes the current gas-generating precursor segment corresponding to the target sodium-ion battery cell; different gas-generating precursor segments are associated with different types of preceding process inducing factors. Based on the current gas-generating precursor segment, the corresponding inducing factor association range is determined from the gas-generating precursor segment baseline data or the preset inducing factor range configuration data. The inducing factor association range is used to limit the type of inducing factor marker participating in the subsequent receiving window screening in the preceding gas-generating inducing factor association data.

[0176] In one embodiment, the causation association range is configured according to the gas production precursor segment. When the target sodium-ion battery cell is in the interface relaxation observation segment, the causation association range focuses on film formation stability causation markers and polarization residue causation markers; when the target sodium-ion battery cell is in the side reaction germination segment, the causation association range focuses on film formation stability causation markers, polarization residue causation markers, and causation markers related to formation temperature rise; when the target sodium-ion battery cell is in the trace gas production accumulation segment, the causation association range focuses on wetting hysteresis causation markers and film formation stability causation markers; when the target sodium-ion battery cell is in the gas production expansion segment or risk lockout segment, the causation association range simultaneously includes wetting hysteresis causation markers, film formation stability causation markers, and polarization residue causation markers. Through the above processing, the causation association range is not a fixed list of causations, but rather a causation type-gated object driven by the current gas production precursor segment.

[0177] The candidate induced cause association data is formed by extracting induced cause markers that fall within the induced cause association range from the preceding gas generation induced cause association data. This candidate induced cause association data includes cell identifier, induced cause type, induced cause occurrence process, induced cause occurrence time period, induced cause intensity, induced cause source field, and candidate screening markers. Induced cause markers that do not belong to the current induced cause association range are not included in the induced cause acceptance window screening process under the current gas generation precursor segment. Through this induced cause type gating processing, induced cause records in the preceding process history that are unrelated to the current precursor segment will not interfere with the formation of subsequent precursor induced cause mapping relationship data.

[0178] In this embodiment, the cause association range and the cause acceptance window serve different processing functions. The cause association range is used to address whether there is a correlation between the cause type and the current gas production precursor segment, while the cause acceptance window is used to address whether there is an effective time period mapping between the preceding process period and the current aging response period. The cause association range limits the types of cause tags that enter the screening, while the cause acceptance window limits whether the cause tags that enter the screening form a temporal acceptance relationship with the current aging response. Both filter the preceding gas production cause association data from two dimensions: cause type and time period acceptance.

[0179] A trigger acceptance window is constructed based on the trigger occurrence time in the candidate trigger correlation data and the aging response time in the gas production precursor response trajectory data. The trigger occurrence time is determined by the sampling time, process completion time, anomaly occurrence time, or trigger marker generation time in the liquid injection and settling process or formation process. The aging response time is determined by the aging response segment corresponding to the gas production precursor response trajectory data. Different process delay benchmarks and window widths are configured for different trigger types to ensure that the acceptance time of wetting hysteresis triggers, film formation stabilization triggers, and polarization residue triggers has a differentiated range after entering the aging stage.

[0180] Specifically, the induction window corresponding to the wetting hysteresis induction marker is related to the aging response period during which the impedance response, settling response, and internal pressure response deviate from the expected values ​​at the end of the liquid injection and aging stages; the induction window corresponding to the film stability induction marker is related to the aging response period during which the open-circuit voltage response, temperature response, and internal pressure response deviate from the expected values ​​at the end of the formation and aging stages; and the induction window corresponding to the polarization residue induction marker is related to the aging response period during which the impedance response and open-circuit voltage response show abnormal declines or insufficient stabilization at the end of the formation and aging stages. Through the construction of these windows, different preceding induction markers are constrained to aging response periods that match their process conduction characteristics.

[0181] Within the trigger acceptance window, candidate trigger-related data are filtered. This filtering determines whether the preceding process period corresponding to the candidate trigger-related data and the aging response period corresponding to the gas production precursor response trajectory data satisfy process delay, window width, and response visibility relationships. Candidate trigger-related data satisfying these relationships are identified as trigger window mapping data; candidate trigger-related data not satisfying these relationships are not included in the precursor trigger mapping relationship data under the current aging response segment.

[0182] The trigger window mapping data includes cell identifier, trigger marker, trigger occurrence process, trigger occurrence time period, aging response time period, window offset, trigger intensity, response trajectory value, window screening marker, and mapping candidate marker. The window offset is used to characterize the time difference between the trigger occurrence time period after correction by the process delay reference and the aging response time period; the window screening marker is used to record whether the trigger marker falls into the corresponding trigger acceptance window; the response trajectory value is used to characterize the degree of manifestation of gas production precursors within the aging response time period; and the mapping candidate marker is used to indicate whether the trigger window mapping data enters the confirmation process of precursor trigger mapping relationship data.

[0183] In one embodiment, the causative response proximity between the a-th causative marker and the s-th aging response fragment is determined according to the following formula: ,in This indicates the proximity of the trigger response between the a-th trigger marker and the s-th aging response fragment; This indicates the trigger type gating term. When the a-th trigger marker belongs to the trigger association range corresponding to the current gas production precursor segment... When the value is 1, it means that the a-th trigger marker does not belong to the trigger association range corresponding to the current gas production precursor segment. Take 0 at the time; This indicates the range of causes associated with the current gas production precursor segment; This indicates the preceding process time period corresponding to the a-th trigger marker; This represents the aging response time period corresponding to the s-th aging response segment; This represents the process delay baseline for the propagation of the a-th inducing marker to the aging stage; This represents the width of the trigger receiving window corresponding to the a-th trigger marker; This represents the gas production precursor response trajectory value corresponding to the s-th aging response segment; This indicates the number of times the a-th inducing factor is co-occurring with non-gas-producing components in the historical record; This indicates taking the positive part.

[0184] In the above formula, the trigger type gating term is used to limit whether the trigger marker belongs to the trigger association range corresponding to the current gas production precursor segment; Used to characterize the window proximity between the preceding process time period after process delay baseline correction and the aging response time period; This is used to introduce the manifestation degree of aging response and the suppression of non-gas-producing co-occurrence. The greater the number of non-gas-producing co-occurrences, the more frequently the trigger marker appears in the historical record but has not stably led to gas-producing precursors, thus reducing the proximity of the trigger marker to the current aging response segment. Therefore, the proximity of the trigger response is simultaneously constrained by the trigger type gating, the process delay window, and the suppression of non-gas-producing co-occurrence, and is not simply judged based on the existence of the preceding trigger.

[0185] Based on the proximity of the trigger response, the trigger window mapping data is integrated into precursor trigger mapping relationship data. This precursor trigger mapping relationship data includes cell identifier, trigger marker, trigger occurrence time period, aging response time period, trigger response proximity, response trajectory value, mapping confirmation marker, and mapping order marker. When a trigger marker in the precursor trigger mapping relationship data has a trigger response proximity that meets the preset mapping confirmation conditions, that trigger marker is determined as a valid precursor trigger for the current aging response segment. When multiple trigger markers meet the mapping confirmation conditions, the mapping order is determined according to the proximity of the trigger response, the trigger intensity, and the chronological relationship of the aging response time period. The mapping order marker is used to record the chronological and hierarchical relationships between multiple valid precursor triggers.

[0186] In this embodiment, the precursor cause mapping relationship data is not a single conclusion about the source of anomalies, but rather a data object used for subsequent rescreening and blocking / diversion determination. This data object records at least three types of relationships: the cause type relationship between the cause marker and the current gas-producing precursor segment; the time period continuity relationship between the cause occurrence period and the aging response period; and the explicit correspondence between the cause response proximity and the response trajectory value. Through these three types of relationships, subsequent processing distinguishes between the case of "the existence of a preceding cause but no continuity with the current response" and the case of "the preceding cause and the current aging response forming an effective mapping."

[0187] After generating the precursor cause mapping relationship data, the precursor cause mapping relationship data is used to generate rescreening stabilization tendency data and isolation / lockdown tendency data. The rescreening stabilization tendency data is used to characterize the abnormal performance of the target sodium-ion battery cell as being more inclined towards observation, retesting, and stabilization recovery. The isolation / lockdown tendency data is used to characterize the abnormal performance of the target sodium-ion battery cell as being more inclined towards continuous gas production, safe isolation, and risk elimination.

[0188] When generating rescreening stabilization tendency data, the inducement type, inducement response proximity, response stabilization amount, and mapping order marker are read from the precursor inducement mapping relationship data. When the effective precursor inducement mainly points to the wetting hysteresis inducement marker or the polarization residual inducement marker, and the gas production precursor response trajectory data shows a response stabilization order or response stabilization amount reaching a preset stabilization threshold, rescreening stabilization tendency data is generated. The rescreening stabilization tendency data includes cell identifier, aging response segment identifier, stabilization-related inducement marker, response stabilization amount, rescreening direction marker, and rescreening tendency intensity.

[0189] When generating isolation lockout tendency data, the trigger type, trigger response proximity, response duration, and precursor progression amount are read from the precursor trigger mapping relationship data. Isolation lockout tendency data is generated when the effective precursor triggers primarily point to the film-forming stability trigger marker, or when multiple effective precursor triggers simultaneously point to both the wetting hysteresis trigger marker and the film-forming stability trigger marker, and at least one of the temperature response item, internal pressure response item, and shell thickness response item shows a sustained deviation or precursor progression. The isolation lockout tendency data includes cell identifier, aging response segment identifier, lockout-related trigger marker, response duration, precursor progression amount, isolation direction marker, and lockout tendency intensity.

[0190] When both the rescreening stabilization tendency data and the isolation lockout tendency data simultaneously meet their corresponding generation conditions, the aging response segment is marked as a shunt convergence state. This shunt convergence state indicates that the target sodium-ion battery cell currently exhibits both signs of stabilization and recovery, as well as signs of risk progression, requiring further correction using critical margin data. Therefore, the rescreening stabilization tendency data and the isolation lockout tendency data are not mutually exclusive, but rather form the basis for bidirectional shunt control in subsequent critical margin correction.

[0191] See Figure 7 The critical margin and the proximity of the induced response together constitute the phase diagram of the closed-loop flow splitting of the multiple screening. Figure 7 The horizontal axis represents the critical margin, and the vertical axis represents the proximity of the inducing factors. The region with a high critical margin and a low proximity of the inducing factors corresponds to the stabilization zone after rescreening; the region with a low critical margin and a high proximity of the inducing factors corresponds to the isolation and closure zone; the region in between corresponds to the diversion and convergence zone. Figure 7 The directions for enhanced stabilization and enhanced isolation / locking shown are used to characterize the relative changes of the two types of control quantities in the second precursor screening control data.

[0192] Figure 7 The "causation proximity" in the figure is a graphical abbreviation for "causation response proximity," which is determined by the causation response proximity in the precursor causation mapping relationship data. This causation response proximity, together with the critical margin data, determines the direction of change of the rescreening stabilization control quantity and the isolation blocking control quantity.

[0193] In one implementation, the rescreening stabilization control quantity and the isolation interlocking control quantity are determined according to the following formula: , ,in This represents the re-screening stabilization control value corresponding to the s-th aging response segment; This represents the isolation interlocking control quantity corresponding to the s-th aging response segment; This represents the response stabilization value corresponding to the s-th aging response segment; This represents the critical margin data corresponding to the s-th aging response segment; This indicates the proximity of the trigger response to the s-th aging response fragment; This represents the duration of the response corresponding to the s-th aging response segment; This represents the precursor increment corresponding to the s-th aging response segment.

[0194] in The proximity of the trigger response to the s-th aging response segment in the precursor trigger mapping data is used to determine the proximity. When multiple trigger markers are mapped to the same aging response segment, the maximum, median, or statistically corrected value of the proximity among the trigger responses that meet the mapping confirmation criteria is used as the proximity. In actual processing, the statistical rules configured in the gas production precursor segment baseline data are used to determine... The way to obtain the value.

[0195] In the above formula for the stabilization control quantity after repeated screening, the stabilization quantity is... and critical margin data This constitutes the main supporting term for the stabilization direction of the secondary screening. When the critical margin is high and the response stabilization is significant, the control quantity for secondary screening stabilization increases; when the proximity of the trigger response is high and the critical margin decreases, the denominator term... As the concentration increases, the control amount for rescreening stabilization is suppressed. Therefore, aging response segments with strong causal mapping and close to the risk boundary will not directly enter the rescreening stabilization direction simply due to temporary stabilization.

[0196] In the above formula for isolation and interlocking control quantity, the proximity of the causal response is... Critical residual reverse term Response duration and precursor progression Together, they constitute the enhancement term in the isolation / locking direction. When the critical margin is low, the proximity of the trigger is high, and the response is sustained or the precursor is significant, the isolation / locking control quantity increases; when the response stabilizes... When the denominator term increases, As the concentration increases, the isolation and interlocking control quantity is suppressed. Therefore, the isolation and interlocking control quantity can distinguish between a sustained gas production trend and a short-term abnormal stabilization trend.

[0197] The second precursor screening control data is formed based on the re-screening stabilization control quantity and the isolation and interlocking control quantity. This second precursor screening control data includes cell identification, aging response segment identification, precursor cause mapping relationship data identification, re-screening stabilization tendency data, isolation and interlocking tendency data, re-screening stabilization control quantity, isolation and interlocking control quantity, cause response proximity, critical margin data, treatment diversion status, and control generation period. The treatment diversion status includes re-screening stabilization direction, diversion convergence direction, and isolation and interlocking direction. The re-screening stabilization direction indicates that subsequent candidate treatment queues tend towards delayed observation or retesting confirmation; the isolation and interlocking direction indicates that subsequent candidate treatment queues tend towards safe isolation or risk elimination; and the diversion convergence direction indicates that subsequent processing requires further determination of the target treatment queue based on the reviewed response data or queue priority.

[0198] The second precursor screening control data is used to characterize the disposal diversion status of the target sodium-ion battery cell in the re-screening stabilization direction and the isolation and locking direction under the joint constraints of precursor cause mapping relationship data and critical margin data. This second precursor screening control data is used in subsequent processing to determine the flow qualification flag corresponding to the candidate disposal queue, and together with the first precursor screening control data, forms segmented isolation flow data. See also Figure 6 The second precursor screening control data, including the re-screening stabilization direction and the isolation and locking direction, enters the flow qualification determination process to ensure that the cell identifier of the target sodium ion cell enters the corresponding target disposal queue in the preset segmented isolation queue sequence.

[0199] In one embodiment, see Figure 6The initial candidate disposal queue corresponding to the target sodium-ion battery cell is determined by segmented positioning data in the first precursor screening control data. The queue entry priority of the initial candidate disposal queue is adjusted using the critical margin data in the first precursor screening control data to obtain the candidate disposal queue. The circulation qualification mark corresponding to the candidate disposal queue is determined by the second precursor screening control data, and segmented isolation circulation data is formed by the candidate disposal queue and the circulation qualification mark. Based on the segmented isolation circulation data, the cell identifier corresponding to the target sodium-ion battery cell is written into the target disposal queue. The preset segmented isolation queue sequence includes a normal aging queue, a delayed observation queue, a retest confirmation queue, a safety isolation queue, and a risk rejection queue. The target disposal queue is the queue in the preset segmented isolation queue sequence that corresponds to the segmented isolation circulation data. The segmented isolation circulation data is used to characterize the queue circulation relationship of the cell identifier corresponding to the target sodium-ion battery cell from the candidate disposal queue to the target disposal queue.

[0200] Furthermore, the precursor gas production segment reference data also includes rescreening retention parameters and isolation lockout parameters; rescreening stabilization confirmation data and isolation lockout confirmation data are generated from the verification response data. The rescreening stabilization confirmation data is used to verify the rescreening stabilization control quantity in the second precursor screening control data, and the isolation lockout confirmation data is used to verify the isolation lockout control quantity in the second precursor screening control data to obtain rescreening lockout verification data; based on the rescreening lockout verification data, the segmented isolation flow data is marked for closure to obtain the aging screening closure result containing rescreening stabilization confirmation data and isolation lockout confirmation data; then, the rescreening retention parameters in the precursor gas production segment reference data are updated with the rescreening stabilization confirmation data in the aging screening closure result, and the isolation lockout parameters in the precursor gas production segment reference data are updated with the isolation lockout confirmation data in the aging screening closure result.

[0201] See Figure 6 , Figure 6 The first precursor screening control data is located in the upper control chain, and the segmented positioning data and critical margin data jointly enter the candidate treatment queue determination process; the second precursor screening control data is located in the lower control chain, and the rescreening stabilization direction and isolation locking direction jointly enter the circulation qualification mark determination process. The candidate treatment queue and circulation qualification mark are in... Figure 6 The segmented isolated data is imported into the middle, and then enters the target disposal queue stack on the right through the cell identification writing channel. Figure 6 The five target treatment queues shown are used to characterize the different treatment directions of the target sodium-ion cells in the aging and screening process, and do not mean that the same cell identifier flows through all queues in sequence.

[0202] Figure 6The queue field within the segmented isolated transfer data is used to record the candidate disposal queue and the target disposal queue, while the qualification field is used to record the transfer qualification flag. The queue field and the qualification field together determine whether the cell identifier is written and which target disposal queue it is written to.

[0203] When determining the initial candidate treatment queue, the current gas-producing precursor segment, candidate precursor segment, segment migration direction, segment verification mark, and segment confirmation strength are read from the first precursor screening control data. If the current gas-producing precursor segment is in the interface relaxation observation stage, the normal aging queue or delayed observation queue is determined as the initial candidate treatment queue; if the current gas-producing precursor segment is in the side reaction initiation stage, the delayed observation queue or retest confirmation queue is determined as the initial candidate treatment queue; if the current gas-producing precursor segment is in the trace gas accumulation stage, the retest confirmation queue or safety isolation queue is determined as the initial candidate treatment queue; if the current gas-producing precursor segment is in the gas production expansion stage, the safety isolation queue or risk elimination queue is determined as the initial candidate treatment queue; if the current gas-producing precursor segment is in the risk lockout stage, the risk elimination queue is determined as the initial candidate treatment queue.

[0204] After determining the initial candidate disposal queue, the queue entry priority is adjusted based on the critical margin data in the first precursor screening control data. When the critical margin data is higher than the preset observation margin, the target sodium-ion battery cell remains in the normal aging queue or delayed observation queue; when the critical margin data is within the preset retest margin range, the target sodium-ion battery cell enters the retest confirmation queue; when the critical margin data is lower than the preset isolation margin, the target sodium-ion battery cell enters the safety isolation queue or risk elimination queue. The lower the critical margin data, the closer the target sodium-ion battery cell is to the risk approach boundary, and the higher the priority of the candidate disposal queue moves towards retest confirmation, safety isolation, or risk elimination.

[0205] During the priority adjustment process for entering the queue, the segmented positioning data itself is not changed; instead, the entry order of the candidate disposal queue is altered. The segmented positioning data is used to determine the current disposal candidate range corresponding to the target sodium-ion battery cell, and the critical margin data is used to adjust the priority of the target queue within this disposal candidate range. Therefore, the target sodium-ion battery cell will not skip the review and confirmation process and directly enter the rejection direction due to a single low margin state. When the critical margin data is already lower than the preset isolation margin and the second precursor screening control data points to the isolation blocking direction, the safety isolation queue or risk rejection queue is set as a high-priority queue.

[0206] See Figure 7 The critical margin data and the proximity of the causal response jointly influence the direction of stabilization after rescreening and the direction of isolation and closure. Figure 7The re-screening stabilization zone corresponds to a state with a high critical margin and a low proximity of the trigger response; the isolation and closure zone corresponds to a state with a low critical margin and a high proximity of the trigger response; the diversion and convergence zone corresponds to a state where both the re-screening stabilization direction and the isolation and closure direction need to be further confirmed by the review response data. The priority adjustment of the candidate treatment queue in Part VI, and... Figure 7 The direction of the stabilization enhancement in the phase diagram shown is consistent with the direction of the isolation and blocking enhancement.

[0207] When determining the eligibility marker for cell transfer, the rescreening stabilization control quantity, isolation interlocking control quantity, disposal diversion status, cause response proximity, critical margin data, and control generation period are read from the second precursor screening control data. The eligibility marker indicates whether the cell identifier corresponding to the target sodium-ion cell is eligible to be written into the target disposal queue and limits the direction of writing into the target disposal queue. The eligibility marker includes at least one of the following: a maintenance eligibility marker, an observation eligibility marker, a rescreening eligibility marker, an isolation eligibility marker, a rejection eligibility marker, and a pending verification eligibility marker.

[0208] The "Maintain Qualification" flag indicates that the target sodium-ion battery cell remains in the normal aging queue; the "Observation Qualification" flag indicates that the target sodium-ion battery cell enters the delayed observation queue; the "Rescreening Qualification" flag indicates that the target sodium-ion battery cell enters the retest confirmation queue; the "Isolation Qualification" flag indicates that the target sodium-ion battery cell enters the safety isolation queue; the "Rejection Qualification" flag indicates that the target sodium-ion battery cell enters the risk rejection queue; and the "Pending Review Qualification" flag indicates that the target sodium-ion battery cell is in a cross-connection state and needs further determination between the retest confirmation queue and the safety isolation queue.

[0209] When the rescreening stabilization control value is greater than the isolation lockout control value, and the critical margin data is not lower than the preset isolation margin, a rescreening qualification mark or observation qualification mark is generated. When the isolation lockout control value is greater than the rescreening stabilization control value, and the critical margin data is lower than the preset isolation margin, an isolation qualification mark or rejection qualification mark is generated. When the rescreening stabilization control value and the isolation lockout control value are within the preset diversion intersection range, a pending verification qualification mark is generated, and the candidate treatment queue is limited to either the retest confirmation queue or the safety isolation queue. Through the above processing, the second precursor screening control data does not directly replace the first precursor screening control data, but rather, based on the candidate treatment queue determined by the first precursor screening control data, it constrains the entry qualification of the candidate treatment queue.

[0210] When conflicts arise between qualification marks, they are handled according to the safety isolation priority rule. These conflicts include simultaneous occurrences of a re-screening qualification mark and an isolation qualification mark, simultaneous occurrences of an observation qualification mark and a rejection qualification mark, and simultaneous occurrences of a pending review qualification mark and a rejection qualification mark. In cases involving continuously rising internal pressure, continuously increasing shell thickness, abnormally progressive temperature, or isolation interlocking control exceeding a preset interlocking threshold, the isolation qualification mark or rejection qualification mark is retained. In cases involving short-term deviations in open-circuit voltage response or impedance response but where the static stabilization response meets the stabilization requirements, the re-screening qualification mark or the observation qualification mark is retained.

[0211] The segmented isolated flow data is formed by candidate disposal queues and flow qualification markers. The segmented isolated flow data includes cell identifier, current gas production precursor segment, candidate disposal queue, flow qualification marker, target disposal queue, queue entry priority, flow generation period, flow version number, and flow closure status. The candidate disposal queue characterizes the candidate disposal direction of the target sodium-ion cell in the current precursor segment and critical margin state; the flow qualification marker characterizes whether the target sodium-ion cell is qualified to enter the candidate direction under the constraints of the re-screening stabilization control quantity and the isolation lockout control quantity; the target disposal queue characterizes the final written disposal queue; the queue entry priority characterizes the entry order among multiple candidate disposal queues; the flow version number identifies the queue flow version of the same cell identifier in this aging screening; and the flow closure status records whether the flow has been confirmed in subsequent review and closed-loop verification.

[0212] The preset segmented isolation queue sequence includes a normal aging queue, a delayed observation queue, a retest confirmation queue, a safety isolation queue, and a risk rejection queue. The normal aging queue is used to receive cell identifiers that have not triggered abnormal precursors or have sufficient critical margin; the delayed observation queue is used to receive cell identifiers that have slight response deviations but have not formed a continuous progression; the retest confirmation queue is used to receive cell identifiers that have a tendency to stabilize after rescreening but require verification; the safety isolation queue is used to receive cell identifiers that have a coordinated progression of abnormal internal pressure, casing thickness, temperature, or open circuit voltage; and the risk rejection queue is used to receive cell identifiers that still cannot stabilize after verification or whose isolation lockout is confirmed.

[0213] Based on segmented and isolated transfer data, the cell identifier corresponding to the target sodium-ion battery cell is written into the target disposal queue. This writing process involves writing the association between the cell identifier, the disposal queue identifier, and the transfer data, rather than directly moving the physical cell itself. The write record includes the cell identifier, the target disposal queue identifier, the writing time period, the writing source, the transfer version number, the writing status, and the closing status. Before writing to the target disposal queue, it is checked whether there is already an unclosed queue write record for the same cell identifier in the current aging screening batch; if an unclosed write record exists, the original write record is updated according to the transfer version number and the safety isolation priority rule, avoiding the generation of conflicting target disposal queue records.

[0214] In the physical production line, aging cabinet interlocks, sorting equipment, logistics equipment, or manual verification stations execute subsequent production actions based on the target disposal queue corresponding to the cell identifier. Database writing, message queue pushing, MES interface synchronization, alarm pushing, and aging cabinet interlock interfaces employ industrial control implementation methods well-known to those skilled in the art, and will not be elaborated upon here. The aforementioned conventional interfaces are only used to carry queue writing results and do not change the formation rules of segmented and isolated data flow in this embodiment.

[0215] After a target sodium-ion battery cell enters the target disposal queue, the verification response data of the target sodium-ion battery cell under that target disposal queue is acquired. The verification response data includes open-circuit voltage stabilization data, impedance decline data, temperature stabilization data, casing thickness change data, internal pressure change data, stabilization results after supplementary settling, and continuous change results after safety isolation after testing at low rate. Different target disposal queues correspond to different verification items. The delayed observation queue corresponds to open-circuit voltage stabilization data, impedance decline data, and temperature stabilization data after supplementary settling; the retest confirmation queue corresponds to open-circuit voltage stabilization data, impedance decline data, and settling stabilization results after low rate retest; the safety isolation queue corresponds to internal pressure change data, casing thickness change data, and temperature stabilization data after isolation observation; the risk elimination queue corresponds to continuous gas production confirmation data, continuous increase in casing thickness data, continuous increase in internal pressure data, or verification failure to stabilize.

[0216] The verification test conditions are configured according to the target disposal queue. The supplementary settling time, sampling interval, and stabilization judgment range corresponding to the delayed observation queue are determined by the rescreening retention parameters in the gas production precursor segment baseline data; the low-rate retesting ratio, retesting cutoff condition, and settling time after retesting corresponding to the retesting confirmation queue are determined by the aging process specification; the isolation observation time, temperature monitoring interval, and internal pressure or thickness sampling interval corresponding to the safety isolation queue are determined by the safety isolation strategy; and the continuous anomaly confirmation conditions corresponding to the risk elimination queue are determined by the isolation lockout parameters. When the verification response data meets the conditions that the stabilization amplitude reaches the corresponding stabilization range, the stabilization holding time reaches the rescreening retention parameters, and the internal pressure or shell thickness does not continuously increase, rescreening stabilization confirmation data is formed; when the verification response data meets the conditions that the internal pressure continuously rises, the shell thickness continuously increases, the temperature abnormally increases, or the stabilization holding fails, isolation lockout confirmation data is formed.

[0217] The review response data generates re-screening stabilization confirmation data and isolation / lockout confirmation data. The re-screening stabilization confirmation data indicates whether the target sodium-ion battery cell has stabilized after review in the target disposal queue. This data includes cell identification, review items, review period, stabilization observation items, stabilization magnitude, stabilization duration, re-screening confirmation marker, and re-screening consistency level. The isolation / lockout confirmation data indicates whether the target sodium-ion battery cell's anomaly continues to expand or whether it is unsuitable for further normal aging and sorting after review in the target disposal queue. This data includes cell identification, review items, continuous anomaly observation items, internal pressure change status, shell thickness change status, temperature change status, lockout confirmation marker, isolation confirmation period, and lockout consistency level.

[0218] The re-screening stabilization confirmation data is used to verify the re-screening stabilization control quantity in the second precursor screening control data, and the isolation interlocking confirmation data is used to verify the isolation interlocking control quantity in the second precursor screening control data, thus obtaining the re-screening interlocking verification data. The re-screening interlocking verification data is used to record the consistency between the re-screening stabilization control quantity and the re-screening stabilization confirmation data, as well as the consistency between the isolation interlocking control quantity and the isolation interlocking confirmation data.

[0219] When the rescreening stabilization control value is high, and the rescreening stabilization confirmation data indicates that the target sodium-ion battery cell has entered a stable stabilization state after verification, a rescreening consistency mark is formed. When the isolation lockout control value is high, and the isolation lockout confirmation data indicates that the target sodium-ion battery cell has a persistent abnormality or is not suitable to continue entering the normal aging and sorting process, a lockout consistency mark is formed. When the rescreening stabilization control value is high but the verification response data does not show stable stabilization, a rescreening too high mark is formed. When the isolation lockout control value is high but the verification response data does not show a persistent abnormality, a lockout too high mark is formed. When the rescreening stabilization control value is low but the verification response data shows obvious stabilization, a rescreening too low mark is formed. When the isolation lockout control value is low but the verification response data shows a persistent abnormality, a lockout too low mark is formed. The above marks together constitute the rescreening lockout verification data.

[0220] Based on the rescreening and interlocking verification data, closed-loop markers are applied to the segmented isolation flow data. These closed-loop markers include rescreening closed-loop markers, observation closed-loop markers, isolation closed-loop markers, rejection closed-loop markers, and deviation closed-loop markers. The rescreening closed-loop marker indicates that the target sodium-ion battery cell has stabilized after retesting; the observation closed-loop marker indicates that the target sodium-ion battery cell has not progressed further towards a high-risk direction after delayed observation; the isolation closed-loop marker indicates that the target sodium-ion battery cell still exhibits persistent anomalies after safe isolation; the rejection closed-loop marker indicates that the target sodium-ion battery cell meets the risk rejection conditions; and the deviation closed-loop marker indicates that there is a deviation between the original second precursor screening control data and the verification response data, requiring the parameters in the gas production precursor segment baseline data to be rewritten.

[0221] After the closure marker is formed, the aging screening closure result is obtained. The aging screening closure result includes cell identification, target disposal queue, segmented isolation flow data, re-screening stabilization confirmation data, isolation lockout confirmation data, re-screening lockout verification data, closure marker, flow version number, and baseline write-back marker. The aging screening closure result is used to record whether the queue flow of the target sodium-ion cell in this aging screening is correct, whether the re-screening is retained, whether the isolation lockout is established, and whether the pre-gas production segment baseline data needs to be written back.

[0222] See Figure 1 The aging screening closure results, after being written back through the closed loop, are applied in reverse to the baseline data for the gas production precursor segment. The rescreening retention parameters and isolation lockout parameters in the gas production precursor segment baseline data are updated during the closed-loop write-back. The rescreening retention parameters are used to adjust the retention benchmark for subsequent similar cells entering the delayed observation queue or retest confirmation queue under conditions of slight anomalies, significant stabilization, or consistent rescreening; the isolation lockout parameters are used to adjust the lockout benchmark for subsequent similar cells entering the safety isolation queue or risk rejection queue under conditions of continuous anomalies, progressive internal pressure, progressive casing thickness, or consistent lockout.

[0223] When performing baseline write-back, the material system, capacity specification, electrolyte injection process, formation regime, aging regime, current gas production precursor segment, and effective precursor cause type corresponding to the target sodium-ion battery cell are used as the baseline write-back index. Rescreening retention parameters and isolation / lockdown parameters are only written back to the gas production precursor segment baseline data sub-item that matches the baseline write-back index. Through this index constraint, the verification results formed under a certain material system or a certain inducement type will not indiscriminately affect the segment baselines corresponding to other material systems, capacity specifications, or process regimes.

[0224] In one implementation, the rescreening retention parameters are updated according to the following formula: Update the isolation and interlocking parameters according to the following formula: ,in This indicates the parameters to be retained after the updated rescreening; This indicates the updated isolation and interlocking parameters; This indicates the parameters retained during the rescreening process before the update; This indicates the isolation and interlocking parameters before the update; This indicates data that has been re-screened and stabilized. This indicates confirmation data for isolation and interlocking. This indicates the amount of material to be controlled for stabilization after rescreening. Indicates the isolation and interlock control quantity; This represents critical margin data; This indicates the degree of proximity of the trigger response.

[0225] In the above formula for updating the retained parameters after rescreening, Normalized deviation used to characterize the critical margin data between the confirmation data of stabilization after rescreening and the control value of stabilization after rescreening. This parameter is used to limit the impact of the deviation on the rescreening retention parameter. When the rescreening stabilization confirmation data is higher than the rescreening stabilization control value and the critical margin is high, the rescreening retention parameter is increased to allow for rescreening in subsequent similar minor precursor states. When the rescreening stabilization confirmation data is lower than the rescreening stabilization control value, the rescreening retention parameter is decreased to raise the threshold for subsequent similar states to enter the retest confirmation or safety isolation direction.

[0226] In the above formula for updating the isolation and interlocking parameters, Normalized deviation used to characterize the cause-response closeness between isolation / lock confirmation data and isolation / lock control quantities. This is used to limit the impact of the deviation on the isolation and blocking parameters. When the isolation and blocking confirmation data is higher than the isolation and blocking control value, and the causal response is close, the sensitivity of the isolation and blocking parameters is increased, so that cells under the same causal mapping relationship can enter the safety isolation or risk elimination direction earlier; when the isolation and blocking confirmation data is lower than the isolation and blocking control value, the sensitivity of the isolation and blocking corresponding to this type of causal mapping relationship is reduced.

[0227] The updated rescreening retention parameters and isolation lockout parameters are limited to preset allowable ranges. When the formula update result is lower than the preset lower limit, the update result is recorded as the preset lower limit; when the formula update result is higher than the preset upper limit, the update result is recorded as the preset upper limit. Through this boundary constraint, the gas production precursor segmented benchmark data remains stable in the closed-loop write-back of continuous batches of cells, and will not be excessively offset by abnormal verification results of a single target sodium-ion cell.

[0228] When the verification response data conflicts with the safety isolation rules, the safety isolation or risk elimination strategy shall be prioritized. Such conflicts include situations where the re-screening stabilization confirmation data indicates that some observations have stabilized, but the internal pressure change data, shell thickness change data, or temperature change data indicate that the target sodium-ion battery cell is still in a progressive state; or where the re-testing confirmation results indicate that the electrochemical response has stabilized in the short term, but the safety isolation observation results indicate that the structural response is still changing. In these cases, the safety isolation queue or risk elimination queue shall be designated as the priority target disposal queue, and the corresponding lockout confirmation results shall be written into the aging screening closure results.

[0229] Through the aforementioned segmented isolation flow and closed-loop write-back process, the current precursor segment, critical margin, precursor cause mapping relationship, re-screening stabilization control quantity, and isolation interlocking control quantity of the target sodium-ion battery cell are transformed into queue flow results. Furthermore, the verification response data is used to perform a closure check on these queue flow results. The aging screening closure results are used to update the gas production precursor segment baseline data in reverse, ensuring that subsequent target sodium-ion battery cells with the same material system, capacity specifications, and process regime obtain segmentation and disposal control baselines consistent with historical verification results during the aging screening process.

[0230] Based on the description of the above embodiments of the sodium-ion battery aging and screening method based on pre-gas generation segmented isolation, this application also discloses a sodium-ion battery aging and screening system based on pre-gas generation segmented isolation. This system can be a computer program (including program code) running the aforementioned sodium-ion battery aging and screening method based on pre-gas generation segmented isolation. Please see the appendix. Figure 8 As shown, the sodium-ion battery aging and screening system based on pre-gas generation segmented isolation can operate the following units:

[0231] The precursor object forming unit 110 is used to acquire aging sampling data and previous process history data of the target sodium-ion battery cell after formation, and to acquire gas production precursor segment reference data; to perform precursor response trajectory processing on the aging sampling data to obtain gas production precursor response trajectory data; and to perform gas production cause correlation processing on the previous process history data to obtain previous gas production cause correlation data.

[0232] The segmented margin control unit 120 is used to perform precursor segmentation and positioning processing on the precursor response trajectory data based on the precursor segmentation reference data to obtain segmented positioning data, and generate critical margin data based on the segmented positioning data at the segment boundary positions in the precursor segmentation reference data; and integrate the segmented positioning data and the critical margin data to form first precursor screening control data.

[0233] The causation mapping and diversion unit 130 is used to define the causation association range using the segmented positioning data in the first precursor screening control data, and to form precursor causation mapping relationship data from the preceding gas production causation association data in combination with the gas production precursor response trajectory data; to form rescreening stabilization tendency data and isolation blocking tendency data from the precursor causation mapping relationship data, and to perform rescreening blocking diversion determination on the rescreening stabilization tendency data and the isolation blocking tendency data using the critical margin data in the first precursor screening control data as the critical margin correction condition, thereby obtaining rescreening stabilization control quantity and isolation blocking control quantity; and to integrate the rescreening stabilization control quantity and the isolation blocking control quantity to form second precursor screening control data;

[0234] The isolation transfer writing unit 140 is used to determine the candidate disposal queue from the segmented positioning data and critical margin data in the first precursor screening control data, and to determine the transfer qualification mark corresponding to the candidate disposal queue from the second precursor screening control data, so as to obtain segmented isolation transfer data; based on the segmented isolation transfer data, the cell identifier corresponding to the target sodium-ion cell is written into the target disposal queue in the preset segmented isolation queue sequence.

[0235] The closed-loop verification and write-back unit 150 is used to acquire the verification response data of the target sodium-ion battery cell under the target disposal queue; to perform closed-loop verification on the second precursor screening control data and the segmented isolation flow data according to the verification response data, to obtain the aging screening closure result, and to update the gas production precursor segmented reference data according to the aging screening closure result.

[0236] The above description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the concept described herein through the above teachings or related technologies or knowledge. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A method for aging and screening sodium-ion batteries based on segmented isolation of gas production precursors, characterized in that, include: Acquire aging sampling data and previous process history data of the target sodium-ion battery cell after formation, and acquire the gas production precursor segment baseline data; The aging sampling data is processed into precursor response trajectory data to obtain gas production precursor response trajectory data; The preceding process history data is subjected to gas generation cause correlation processing to obtain preceding gas generation cause correlation data; Based on the gas production precursor segmented reference data, the gas production precursor response trajectory data is processed to obtain segmented positioning data. Critical margin data is generated based on the segmented positioning data at the segment boundary positions in the gas production precursor segmented reference data. The segmented positioning data and the critical margin data are integrated to form the first precursor screening control data. The range of cause association is defined by the segmented positioning data in the first precursor screening control data, and the precursor response trajectory data is combined with the gas production precursor data to form precursor cause mapping relationship data from the preceding gas production cause association data. The precursor cause mapping relationship data is used to form re-screening stabilization tendency data and isolation / lockdown tendency data. The critical margin data in the first precursor screening control data is used as the critical margin correction condition to perform re-screening lockdown diversion determination on the re-screening stabilization tendency data and the isolation / lockdown tendency data to obtain the re-screening stabilization control quantity and the isolation / lockdown control quantity. The re-screening stabilization control quantity and the isolation / lockdown control quantity are integrated to form the second precursor screening control data. The candidate disposal queue is determined by the segmented positioning data and critical margin data in the first precursor screening control data, and the circulation qualification mark corresponding to the candidate disposal queue is determined by the second precursor screening control data to obtain segmented isolation circulation data; Based on the segmented isolation flow data, the cell identifier corresponding to the target sodium-ion battery cell is written into the target disposal queue in the preset segmented isolation queue sequence; Obtain the verification response data of the target sodium-ion battery cell under the target disposal queue; The second precursor screening control data and the segmented isolation flow data are closed-loop verified based on the verification response data to obtain the aging screening closure result, and the gas production precursor segmented reference data are updated based on the aging screening closure result.

2. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 1, characterized in that, The process of performing precursor response trajectory processing on the aging sampling data to obtain gas production precursor response trajectory data includes: Using the aging sampling period corresponding to the aging sampling data as the segmentation benchmark, the aging sampling data is segmented to obtain aging response segments; The preset gas production precursor observation items in the aging response segment are subjected to response deviation identification and response stabilization identification to obtain the segment response deviation data and segment response stabilization data corresponding to the aging response segment; the preset gas production precursor observation items are selected from at least two of the following: open circuit voltage response item, impedance response item, temperature response item, shell thickness response item, internal pressure response item, and static stabilization response item; Using the sampling timing position between adjacent aging response segments as the trajectory organization benchmark, response trajectory organization processing is performed on the segment response deviation data and the segment response recovery data to obtain the response deviation order, response duration relationship and response recovery order. The response deviation order, the response duration relationship, and the response stabilization order are constructed as the gas production precursor response trajectory data; the gas production precursor response trajectory data is used to characterize the temporal evolution relationship of the preset gas production precursor observation item from response deviation, response duration to response stabilization during the aging sampling period.

3. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 1, characterized in that, The step of performing gas generation cause correlation processing on the preceding process history data to obtain preceding gas generation cause correlation data includes: Using the cell identifier of the target sodium-ion battery cell as a history index, the liquid injection and standing history data and the formation process history data are determined from the preceding process history data. The wetting lag cause was identified by analyzing the injection and settling history data, and a wetting lag cause marker was formed. The formation process history data is used to identify film formation stability inducing factors and polarization residue inducing factors, and film formation stability inducing factor markers and polarization residue inducing factor markers are formed. The wetting hysteresis inducing factor marker, the film formation stability inducing factor marker, and the polarization residue inducing factor marker are associated with the cell identifier as the preceding gas generation inducing factor association data.

4. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 1, characterized in that, The step involves performing precursor segmentation and localization processing on the precursor response trajectory data based on the precursor segmentation reference data to obtain segmented localization data, including: The precursor segment boundaries and segment migration conditions are determined from the precursor segment baseline data; the precursor segment boundaries are configured in the order of progressive gas production risk, and the segment migration conditions include precursor progression conditions and stabilization migration conditions. The gas production precursor response trajectory data is segmented and matched with the precursor segment boundary to obtain candidate precursor segments. The candidate precursor segments are migrated and verified using the segmented migration conditions to determine the gas-generating precursor segment currently corresponding to the target sodium-ion battery cell; the segmented positioning data is formed from the currently corresponding gas-generating precursor segment.

5. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 4, characterized in that, The process of generating critical margin data based on the segmented positioning data in the gas-producing precursor segmented reference data, and integrating the segmented positioning data and the critical margin data to form first precursor screening control data includes: The current gas production precursor segment is determined by the segmented positioning data, and the precursor segment boundary corresponding to the current gas production precursor segment along the gas production risk progression direction is determined as the risk approach boundary in the gas production precursor segment reference data. Determine the segment boundary distance between the current gas production precursor segment and the risk approach boundary; Using the response persistence relationship of the gas production precursor response trajectory data as a margin correction condition, the segment boundary distance is continuously corrected to obtain the critical margin data. The segmented positioning data and the critical margin data are integrated to form the first precursor screening control data; the first precursor screening control data is used to characterize the gas production precursor segment position of the target sodium-ion battery cell during the aging process and the critical margin state relative to the risk approach boundary.

6. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 3, characterized in that, The step of defining the range of precipitating factors association using segmented positioning data in the first precipitating factor screening control data, and combining it with the gas production precipitating response trajectory data to form precipitating factor mapping relationship data from the preceding gas production precipitating factor association data, includes: Using the gas-producing precursor segment corresponding to the segmented positioning data in the first precursor screening control data as the associated screening segment, the range of causes associated with the target sodium-ion battery cell is determined. Extract the causation markers corresponding to the causation association range from the preceding gas production causation association data to form candidate causation association data; Based on the preceding process period corresponding to the inducing factor marker and the aging response period corresponding to the gas production precursor response trajectory data, an inducing factor acceptance window is constructed. Within the trigger receiving window, the candidate trigger-related data is filtered to obtain trigger window mapping data; The precursor trigger mapping relationship data is formed from the trigger window mapping data; the precursor trigger mapping relationship data is used to characterize the time-period mapping relationship between the trigger marker and the gas production precursor response trajectory data within the trigger receiving window.

7. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 6, characterized in that, The process involves forming re-screening stabilization tendency data and isolation / lockdown tendency data from the precursor cause mapping relationship data, and using the critical margin data in the first precursor screening control data as the critical margin correction condition to perform re-screening lockdown diversion determination on the re-screening stabilization tendency data and the isolation / lockdown tendency data, thereby obtaining the re-screening stabilization control quantity and the isolation / lockdown control quantity. The second precursor screening control data is formed by integrating the re-screening stabilization control quantity and the isolation interlocking control quantity, including: Data on the tendency to re-screen and stabilize, and data on the tendency to isolate and close off, are generated from the aforementioned precursor cause mapping relationship data; Using the critical margin data in the first precursor screening control data as the critical margin correction condition, the rescreening stabilization tendency data is corrected to obtain the rescreening stabilization control quantity. Using the critical margin data in the first precursor screening control data as the critical margin correction condition, the isolation and locking tendency data is corrected to obtain the isolation and locking control quantity. The rescreening stabilization control quantity and the isolation and locking control quantity are integrated to form the second precursor screening control data; the second precursor screening control data is used to characterize the treatment diversion state of the target sodium-ion battery cell in the rescreening stabilization direction and the isolation and locking direction under the joint constraints of the precursor cause mapping relationship data and the critical margin data.

8. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 7, characterized in that, The candidate disposal queue is determined by segmented positioning data and critical margin data in the first precursor screening control data, and the circulation qualification mark corresponding to the candidate disposal queue is determined by the second precursor screening control data to obtain segmented isolation circulation data; Based on the segmented isolation flow data, the cell identifier corresponding to the target sodium-ion battery cell is written into the target disposal queue in the preset segmented isolation queue sequence, including: The initial candidate disposal queue corresponding to the target sodium-ion battery cell is determined by the segmented positioning data in the first precursor screening control data. The initial candidate disposal queue is adjusted by using the critical margin data in the first precursor screening control data to obtain the candidate disposal queue. The second precursor screening control data is used to determine the transfer qualification mark corresponding to the candidate disposal queue; the candidate disposal queue and the transfer qualification mark are used to form the segmented isolation transfer data; based on the segmented isolation transfer data, the cell identifier corresponding to the target sodium-ion cell is written into the target disposal queue; The preset segmented isolation queue sequence includes a normal aging queue, a delayed observation queue, a retest confirmation queue, a safety isolation queue, and a risk elimination queue. The target disposal queue is the queue in the preset segmented isolation queue sequence that corresponds to the segmented isolation flow data. The segmented isolation flow data is used to characterize the queue flow relationship of the cell identifier corresponding to the target sodium-ion cell from the candidate disposal queue to the target disposal queue.

9. The sodium-ion battery aging and screening method based on pre-gas generation segmented isolation according to claim 8, characterized in that, The step of performing closed-loop verification on the second precursor screening control data and the segmented isolation flow data based on the verification response data to obtain the aging screening closure result, and updating the gas production precursor segmented reference data based on the aging screening closure result, includes: The gas production precursor segmented baseline data also includes rescreening retention parameters and isolation / lockout parameters; rescreening stabilization confirmation data and isolation / lockout confirmation data are generated from the verification response data; The rescreening stabilization confirmation data is used to verify the rescreening stabilization control quantity in the second precursor screening control data, and the isolation interlocking confirmation data is used to verify the isolation interlocking control quantity in the second precursor screening control data to obtain rescreening interlocking verification data. Based on the rescreening lockout verification data, the segmented isolation flow data is marked with a closure tag to obtain the aging screening closure result containing the rescreening stabilization confirmation data and the isolation lockout confirmation data. The rescreening retention parameters in the gas production precursor segment reference data are updated using the rescreening stabilization confirmation data in the aging screening closure results. The isolation and interlocking parameters in the gas production precursor segment reference data are updated using the isolation and interlocking confirmation data in the aging screening closure results.

10. A sodium-ion battery aging and screening system based on pre-gas generation segmented isolation, characterized in that, The system includes: The precursor object formation unit is used to acquire aging sampling data and previous process history data of the target sodium-ion battery cell after formation, and to acquire gas production precursor segment reference data; to perform precursor response trajectory processing on the aging sampling data to obtain gas production precursor response trajectory data; and to perform gas production cause correlation processing on the previous process history data to obtain previous gas production cause correlation data. The segmented margin control unit is used to perform precursor segmentation and positioning processing on the precursor response trajectory data based on the precursor segmentation reference data to obtain segmented positioning data, and generate critical margin data based on the segmented positioning data at the segment boundary positions in the precursor segmentation reference data; and integrate the segmented positioning data and the critical margin data to form the first precursor screening control data. The precipitate mapping and diversion unit is used to define the precipitate association range using the segmented positioning data in the first precipitate screening control data, and to form precipitate mapping relationship data from the preceding gas production precipitate association data by combining the gas production precipitate response trajectory data; to form rescreening stabilization tendency data and isolation blocking tendency data from the precipitate precipitate mapping relationship data, and to perform rescreening blocking diversion determination on the rescreening stabilization tendency data and the isolation blocking tendency data using the critical margin data in the first precipitate screening control data as the critical margin correction condition, thereby obtaining rescreening stabilization control quantity and isolation blocking control quantity; and to integrate the rescreening stabilization control quantity and the isolation blocking control quantity to form second precipitate screening control data; The isolation transfer writing unit is used to determine the candidate disposal queue from the segmented positioning data and critical margin data in the first precursor screening control data, and to determine the transfer qualification mark corresponding to the candidate disposal queue from the second precursor screening control data, so as to obtain segmented isolation transfer data; based on the segmented isolation transfer data, the cell identifier corresponding to the target sodium-ion cell is written into the target disposal queue in the preset segmented isolation queue sequence; The closed-loop verification and write-back unit is used to acquire the verification response data of the target sodium-ion battery cell under the target disposal queue; to perform closed-loop verification on the second precursor screening control data and the segmented isolation flow data based on the verification response data, to obtain the aging screening closure result, and to update the gas production precursor segmented reference data based on the aging screening closure result.

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