A method, device, equipment and medium for screening multi-pole pieces of a laminated post- battery

Abstract

This application provides a method, apparatus, equipment, and medium for screening multi-electrode plates of stacked battery cells, relating to the field of battery manufacturing technology. The method includes: acquiring the weight information of a target battery cell, as well as the average weight and weight standard deviation of the cell; determining a first weight control threshold based on the average weight and the weight standard deviation; and issuing an early warning for the target battery cell when the fluctuation of the weight information exceeds the first weight control threshold, thereby increasing the accuracy of electrode plate screening.

Description

Technical Field

[0001] This application relates to the field of battery manufacturing technology, and more specifically, to a method, apparatus, equipment, and medium for screening multi-electrode plates of stacked battery cells. Background Technology

[0002] Lithium-ion battery manufacturing can be broadly divided into four major processes: electrode fabrication, cell assembly, cell activation and testing, and module packaging. Among these, cell assembly is a mid-stage production process, mainly including winding or stacking, cell pre-packaging, and electrolyte injection. Winding refers to winding the electrode sheets produced in the sheet fabrication process or a winding die-cutting machine into a cell, while stacking refers to stacking the individual electrode sheets produced in the die-cutting process into a cell.

[0003] During the cell stacking process, issues such as unstable air pressure can lead to multiple stacks of electrodes. While visual inspection is used to detect cell abnormalities in related technologies, conventional visual inspection methods are insufficient to effectively identify electrode anomalies due to the small size and tight bonding of the electrodes. Summary of the Invention

[0004] The problem addressed in this application is how to increase the accuracy of multi-electrode selection in battery cells after lamination.

[0005] To address the aforementioned issues, this application provides a method, apparatus, equipment, and medium for screening multi-electrode cells after lamination.

[0006] In a first aspect, this application provides a method for screening multi-electrode cells after lamination, including: Obtain the weight information of the target battery cell, as well as the average weight and standard deviation of the weight of the battery cell; A first weight control threshold is determined based on the average weight and the weight standard deviation; When the fluctuation of the weight information exceeds the first weight control threshold, an early warning is issued for the target battery cell.

[0007] Optionally, obtaining the weight information of the target battery cell, as well as the average weight and weight standard deviation of the battery cell, includes: Obtain the total weight of all cells in the target electrode roll to which the target cell belongs after cutting. A first average weight and a first weight standard deviation are determined based on the total weight of all the battery cells, and the first average weight and the first weight standard deviation are used as the average weight and the weight standard deviation.

[0008] Optionally, obtaining the weight information of the target battery cell, as well as the average weight and weight standard deviation of the battery cell, further includes: Obtain the historical average weight and historical standard deviation of similar polar rolls after pruning from the database, wherein the historical similar polar rolls are of the same type as the target polar roll; The average weight and the weight standard deviation are determined based on the historical average weight and the historical standard deviation.

[0009] Optionally, determining the average weight and the weight standard deviation by using the historical average weight and the historical standard deviation includes: Assign a first weight to the first average weight and the first weight standard deviation; A second weight is assigned to the historical average weight and the historical standard deviation; The average weight is determined based on the weighted first average weight and the weighted historical average weight; The weight standard deviation is determined based on the weighted first weight standard deviation and the weighted historical standard deviation.

[0010] Optionally, the sum of the first weight and the second weight is 1; The first weight is positively correlated with the number of cells obtained after the target electrode roll has been cut; The second weight is negatively correlated with the number of battery cells.

[0011] Optionally, the method for screening multi-electrode cells after lamination further includes: The second weight control threshold and the third weight control threshold are determined based on the average weight and the weight standard deviation; When the fluctuation of the weight information is greater than the first weight control threshold and less than or equal to the second weight control threshold, a weight fluctuation warning is generated. When the fluctuation of the weight information is greater than the second weight control threshold and less than the third weight control threshold, the performance data of the target cell is reviewed. When the fluctuation of the weight information is greater than or equal to the third weight control threshold, the target battery cell is intercepted. The weight control thresholds are arranged in ascending order as the first weight control threshold, the second weight control threshold, and the third weight control threshold.

[0012] Optionally, the first weight control threshold is determined by the average weight and plus or minus one of the weight standard deviations; The second weight control threshold is determined by the average weight and plus or minus two of the weight standard deviations; The third weight control threshold is determined by the average weight and plus or minus three standard deviations of the weight.

[0013] Secondly, this application provides a multi-electrode screening device for stacked battery cells, comprising: The weight acquisition module is used to acquire the weight information of the target battery cell, as well as the average weight and weight standard deviation of the battery cell; An interval determination module is used to determine a first weight control threshold based on the average weight and the weight standard deviation; The early warning and screening module is used to issue an early warning to the target battery cell when the fluctuation of the weight information exceeds the first weight control threshold.

[0014] Thirdly, this application provides an electronic device, including a memory and a processor; The memory is used to store computer programs; The processor is configured to implement the multi-electrode screening method for stacked cells as described in the first aspect when executing the computer program.

[0015] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the multi-electrode screening method for stacked cells as described in the first aspect.

[0016] The beneficial effects of the multi-electrode screening method for stacked cells in this application are: Weight information reflects the overall quality composition of the battery cell; average weight reflects the quality level of the cell under the electrode roll; and weight standard deviation quantifies the range of process fluctuations. These three factors together constitute a statistical basis based on actual manufacturing data. The first weight control threshold dynamically defines the quality boundary of a normal battery cell using statistical methods, with the upper and lower limits corresponding to the maximum reasonable weight of the cell under stable processes. Since defects in multiple electrode sheets after lamination inevitably lead to abnormal cell quality, and the increase usually exceeds the first weight control threshold, a high degree of confidence can be achieved when the weight exceeds the upper limit of the control range, indicating electrode abnormalities in the target battery cell. Traditional visual processing methods struggle to accurately detect electrode anomalies when they are tightly bonded, have no obvious surface texture, or have obscured edges. This solution identifies weight anomalies through statistical modeling, fundamentally avoiding the limitations of optical detection and increasing the accuracy of electrode selection. Attached Figure Description

[0017] Figure 1 This is a schematic flowchart of the multi-electrode selection method for stacked cells according to an embodiment of this application; Figure 2 This is an example diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0018] To make the above-mentioned objects, features, and advantages of this application more apparent and understandable, specific embodiments of this application are described in detail below with reference to the accompanying drawings. Although some embodiments of this application are shown in the drawings, it should be understood that this application can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this application. It should be understood that the accompanying drawings and embodiments of this application are for illustrative purposes only and are not intended to limit the scope of protection of this application.

[0019] It should be understood that the steps described in the method embodiments of this application may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this application is not limited in this respect.

[0020] The term "comprising" and its variations as used herein are open-ended, meaning "including but not limited to"; the term "based on" means "at least partially based on"; the term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments"; and the term "optionally" means "optional embodiments". Definitions of other terms will be given in the description below. It should be noted that the concepts of "first," "second," etc., mentioned in this application are used only to distinguish different devices, modules, or units, and are not intended to limit the order of functions performed by these devices, modules, or units or their interdependencies.

[0021] It should be noted that the terms "one" and "more" used in this application are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0022] The names of messages or information exchanged between multiple devices in the embodiments of this application are for illustrative purposes only and are not intended to limit the scope of these messages or information.

[0023] like Figure 1 As shown in the embodiment of this application, a method for screening multi-electrode cells after lamination is provided, comprising: Step S100: Obtain the weight information of the target cell, as well as the average weight and weight standard deviation of the cell.

[0024] In the technical solution of this application, the weight information of the target battery cell represents the actual mass value of a single battery cell obtained by a weighing device. The weight information reflects the total mass of the electrode sheets and other components contained in the battery cell, and under stable stacking process conditions, it is mainly affected by the number of electrode sheets and the coating density. When there are multiple electrode sheets in the stacked battery cell, its weight will deviate significantly from the normal value.

[0025] Average weight represents the arithmetic mean of the weights of the cells produced from the same electrode roll. Average weight is used to indicate the baseline weight level of the cells corresponding to that electrode roll. Because the slurry is evenly distributed and the tension is stably controlled during the coating process of the same electrode roll, the cells produced from it, assuming a consistent structure, exhibit a concentrated weight distribution around the average weight.

[0026] The standard deviation of weight represents the degree of dispersion of a group of battery cells relative to the average weight. It is used to quantify the range of process fluctuations. Under normal production conditions, a small standard deviation of weight indicates good consistency in battery cell weight. If equipment malfunctions or material defects occur, the standard deviation of weight may increase. However, individual abnormal cells usually appear as isolated points far from the mean, rather than being distributed and diffused throughout the system. By detecting the cells corresponding to isolated points far from the mean, abnormal cells can be accurately identified.

[0027] Step S200: Determine a first weight control threshold based on the average weight and the weight standard deviation.

[0028] The first weight control threshold represents the allowable weight range constructed based on the average weight and weight standard deviation of the cells produced from the electrode rolls. It is used to represent the quality fluctuation boundary of normal cells under electrode roll conditions. The average weight reflects the quality level of cells produced under stable process conditions. The weight standard deviation represents the degree of weight dispersion of the cell caused by minor process disturbances during manufacturing. In the case of multi-electrode defects in cells without lamination, the cell weight follows a concentrated distribution, and the standard deviation remains at a low level.

[0029] A dynamic judgment benchmark matching the current electrode material characteristics is established by using a first weight control threshold. When the weight fluctuation range of the target cell falls within the first weight control threshold, it indicates that its quality is within the normal process fluctuation range; if the fluctuation range exceeds the first weight control threshold, it indicates that there may be an anomaly.

[0030] Step S300: When the fluctuation of the weight information exceeds the first weight control threshold, an early warning is issued for the target battery cell.

[0031] In this embodiment, weight information reflects the overall quality composition of the battery cell; average weight reflects the quality level of the battery cell under the electrode roll, and weight standard deviation quantifies the range of process fluctuations. The first weight control threshold defines the quality boundary of a normal battery cell using statistical methods, with the upper and lower limits corresponding to the maximum reasonable weight of the battery cell under stable processes. Since multiple electrodes after stacking inevitably lead to abnormalities in battery cell quality, and the increment usually exceeds the first weight control threshold, when the weight exceeds the upper limit of the control range, it can be determined with high confidence that the target battery cell has electrode abnormalities. Traditional visual processing methods are difficult to accurately detect when electrodes are tightly bonded, have no obvious surface texture, or have occluded edges. This solution identifies weight abnormalities through statistical modeling, fundamentally avoiding the limitations of optical detection and increasing the accuracy of electrode screening.

[0032] Optionally, obtaining the weight information of the target battery cell, as well as the average weight and weight standard deviation of the battery cell, includes: Obtain the total weight of all cells in the target electrode roll to which the target cell belongs after cutting. A first average weight and a first weight standard deviation are determined based on the total weight of all the battery cells, and the first average weight and the first weight standard deviation are used as the average weight and the weight standard deviation.

[0033] In one embodiment, the cell weight of all cells after the target electrode roll to which the target cell belongs is obtained. This means that when the target electrode roll is completed and divided into independent cells, all cells produced from this electrode roll are weighed one by one to obtain a complete weight dataset. This dataset is used to reflect the mass distribution of the cells formed by the target electrode roll under actual manufacturing conditions.

[0034] Based on the total cell weights, a first average weight and a first weight standard deviation are determined. The cell weight dataset is statistically processed, and its arithmetic mean is calculated as the first average weight. The dispersion is calculated as the first weight standard deviation. The first average weight characterizes the quality level of the cells in the target electrode roll, and the first weight standard deviation reflects the range of process fluctuations in the target electrode roll.

[0035] The first average weight and the first standard deviation of weight are used as the average weight and the standard deviation of weight. The statistical parameters used for subsequent judgments are entirely derived from the measured data of the same roll, so that the control benchmark is consistent with the current material properties and judgment deviations caused by cross-roll mixing are avoided.

[0036] The standard deviation σ is expressed as: , Where N represents the total number of all battery cells. This represents the weight of the i-th battery cell. This indicates the average weight.

[0037] Optionally, obtaining the weight information of the target battery cell, as well as the average weight and weight standard deviation of the battery cell, further includes: Obtain the historical average weight and historical standard deviation of similar polar rolls after pruning from the database, wherein the historical similar polar rolls are of the same type as the target polar roll; The average weight and the weight standard deviation are determined based on the historical average weight and the historical standard deviation.

[0038] In one embodiment, "historical similar electrode rolls" refers to previously produced electrode rolls that are identical to the target electrode roll in terms of material system, coating process, width specifications, and designed areal density. The weight data of the cells produced from the historical similar electrode rolls after cutting are recorded in a database, forming a traceable historical statistical sample.

[0039] Historical average weight and historical standard deviation are statistical parameters extracted from the database and calculated by summing the cell weights produced by multiple historical similar electrode rolls, representing the overall mean and standard deviation, or obtained by weighted averaging after grouping by electrode roll. They are used to reflect the quality level and fluctuation characteristics of this type of electrode roll under long-term stable production conditions.

[0040] The average weight and the weight standard deviation are determined based on the historical average weight and the historical standard deviation. When the number of cells produced from the target electrode roll is insufficient and a reliable real-time statistical model cannot be established, historical data of the same type are used as an alternative benchmark to construct the weight reference range required for the current judgment.

[0041] When the target electrode roll has not been completely cut, or the number of cells produced in the initial stage is small, it can still provide reasonable statistical basis based on existing similar production experience, maintain the effectiveness of defect warning, and avoid the distortion of judgment conditions due to insufficient sample size.

[0042] Optionally, determining the average weight and the weight standard deviation by using the historical average weight and the historical standard deviation includes: Assign a first weight to the first average weight and the first weight standard deviation; A second weight is assigned to the historical average weight and the historical standard deviation; The average weight is determined based on the weighted first average weight and the weighted historical average weight; The weight standard deviation is determined based on the weighted first weight standard deviation and the weighted historical standard deviation.

[0043] In one embodiment, a first weight is assigned to the first average weight and the first weight standard deviation, and a second weight is assigned to the historical average weight and the historical standard deviation. Different weights are allocated to the two types of statistical parameters based on the reliability of the current sample and the credibility of historical experience. The weight allocation can be determined based on factors such as the number of cells already produced from the target electrode roll, process stability, or time decay factor. For example, the more current samples, the higher the first weight.

[0044] The average weight is determined based on the weighted first average weight and the weighted historical average weight. A more representative comprehensive mean is obtained by fusing real-time and historical data using a weighted averaging method. The weighted first weight standard deviation and the historical standard deviation are then weighted together to determine the final weight standard deviation.

[0045] When the number of cells produced from the target electrode roll is small, introducing historical data can avoid statistical bias caused by small samples; when the production quantity is sufficient, current data dominates, making the judgment benchmark more realistic. Through weight adjustment, the average weight and weight standard deviation remain reasonable and robust at different production stages, providing a reliable basis for subsequent anomaly judgment.

[0046] Optionally, the sum of the first weight and the second weight is 1; The first weight is positively correlated with the number of cells obtained after the target electrode roll has been cut; The second weight is negatively correlated with the number of battery cells.

[0047] In one embodiment, the first weight is positively correlated with the number of cells obtained after cutting the target electrode roll. As the number of cells produced from the target electrode roll and weighed increases, the representativeness of the first average weight and the first weight standard deviation calculated based on the measured data becomes more effective, thus assigning a higher weight. Conversely, when the number of cells is small, the current statistical data fluctuates greatly and has low reliability, so the first weight decreases accordingly.

[0048] The second weight is negatively correlated with the number of battery cells, indicating that in the initial production stage of the target electrode roll, due to the limited sample size, it relies more on the statistical regularity of similar historical electrode rolls; as the actual number of battery cells accumulates, the reliance on historical data gradually decreases, and the second weight decreases accordingly.

[0049] The contribution ratio of real-time data and historical experience to the construction of statistical benchmarks is dynamically adjusted to ensure the stability of average weight and weight standard deviation in the early stages of production, while reflecting specificity in the later stages. A quantity-driven weight allocation mechanism balances robustness and adaptability in the judgment.

[0050] Optionally, the method for screening multi-electrode cells after lamination further includes: The second weight control threshold and the third weight control threshold are determined based on the average weight and the weight standard deviation; When the fluctuation of the weight information is greater than the first weight control threshold and less than or equal to the second weight control threshold, a weight fluctuation warning is generated. When the fluctuation of the weight information is greater than the second weight control threshold and less than the third weight control threshold, the performance data of the target cell is reviewed. When the fluctuation of the weight information is greater than or equal to the third weight control threshold, the target battery cell is intercepted. The weight control thresholds are arranged in ascending order as the first weight control threshold, the second weight control threshold, and the third weight control threshold.

[0051] In one embodiment, the first weight control threshold, the second weight control threshold, and the third weight control threshold are all graded weight thresholds set based on the same average weight and weight standard deviation. The three are arranged in ascending order of numerical value and correspond to different quality status judgment levels.

[0052] The second and third weight control thresholds are used to refine the weight classification of the battery cell. When the weight information of the target battery cell is greater than the first weight control threshold but not exceeding the second weight control threshold, it indicates that although its weight exceeds the normal process fluctuation range, the deviation is limited. At this time, a weight fluctuation warning is generated, indicating that there is a slight abnormality or edge process fluctuation. When the weight information exceeds the second weight control threshold but does not reach the third weight control threshold, it is considered that the battery cell has a significant weight increase, which may involve abnormalities in the number of electrodes or coating density. A comprehensive review is required based on the electrochemical performance data of the battery cell to determine whether it can be released. When the weight information reaches or exceeds the third weight control threshold, it is determined that the battery cell is very likely to contain multiple layers of electrodes, with a high defect risk. It is directly intercepted and prohibited from entering subsequent processes or being shipped.

[0053] A multi-level response strategy enables quality control to both intercept critical defects and retain flexibility in handling intermediate states. This is achieved by setting progressive weight control thresholds.

[0054] Optionally, the first weight control threshold is determined by the average weight and plus or minus one of the weight standard deviations; The second weight control threshold is determined by the average weight and plus or minus two of the weight standard deviations; The third weight control threshold is determined by the average weight and plus or minus three standard deviations of the weight.

[0055] In one embodiment, the first weight control threshold is determined by the average weight and ±1 standard deviation of the weight, denoted as [μ-σ, μ+σ], which covers approximately 68% of the cell weight distribution under normal process fluctuations and is used to characterize the quality concentration area of ​​typical qualified products.

[0056] The second weight control threshold is defined by the average weight and plus or minus 2 times the standard deviation of the weight, denoted as [μ-2σ,μ-σ]∪[μ+σ,μ+2σ], covering approximately 95% of the normal distribution range, with its upper limit serving as the boundary for moderate abnormality.

[0057] The third weight control threshold is defined by the average weight and plus or minus three times the standard deviation of the weight, expressed as [μ-3σ,μ-2σ]∪[μ+2σ,μ+3σ], which corresponds to the limit boundary of conventional process control in statistics, covering about 99.7% of normal samples; cells that exceed this upper limit are highly likely to have structural abnormalities, such as multilayer electrodes.

[0058] Using the standard deviation multiple as the grading basis, and through progressive division of 1σ, 2σ, and 3σ, the degree of weight deviation is mapped to different risk levels, which is used to construct subsequent differentiated treatment strategies.

[0059] This application provides an embodiment of a multi-electrode screening device for stacked battery cells, comprising: The weight acquisition module is used to acquire the weight information of the target battery cell, as well as the average weight and weight standard deviation of the battery cell; An interval determination module is used to determine a first weight control threshold based on the average weight and the weight standard deviation; The early warning and screening module is used to issue an early warning to the target battery cell when the fluctuation of the weight information exceeds the first weight control threshold.

[0060] like Figure 2 As shown in the embodiment of this application, an electronic device 200 includes a memory 210 and a processor 220; the memory 210 is used to store a computer program; the processor 220 is used to implement the multi-electrode screening method for stacked cells as described above when the computer program is executed.

[0061] Alternatively, an electronic device 200 includes a memory 210 and a processor 220 coupled to the memory 210; the memory 210 is configured to store a computer program; and the processor 220 is configured to perform the following operations when the computer program is executed: Obtain the weight information of the target battery cell, as well as the average weight and standard deviation of the weight of the battery cell; A first weight control threshold is determined based on the average weight and the weight standard deviation; When the fluctuation of the weight information exceeds the first weight control threshold, an early warning is issued for the target battery cell.

[0062] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the multi-electrode screening method for stacked cells as described above.

[0063] Alternatively, a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the following operations: Obtain the weight information of the target battery cell, as well as the average weight and standard deviation of the weight of the battery cell; A first weight control threshold is determined based on the average weight and the weight standard deviation; When the fluctuation of the weight information exceeds the first weight control threshold, an early warning is issued for the target battery cell.

[0064] Electronic device 200, which can serve as a server or client in this application, is described below as an example of hardware devices that can be applied to various aspects of this application. Electronic device 200 is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device 200 can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0065] Electronic device 200 includes a computing unit that can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) or a computer program loaded from a storage unit into random access memory (RAM). The RAM may also store various programs and data required for device operation. The computing unit, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0066] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc. In this application, the units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of this application according to actual needs. Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units can be implemented in hardware or as software functional units.

[0067] Although the above disclosure is provided, the scope of protection of this application is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of this application, and all such changes and modifications will fall within the scope of protection of this application.

Claims

1. A method for screening multi-electrode wafers in stacked battery cells, characterized in that, include: Obtain the weight information of the target battery cell, as well as the average weight and standard deviation of the weight of the battery cell; A first weight control threshold is determined based on the average weight and the weight standard deviation; When the fluctuation of the weight information exceeds the first weight control threshold, an early warning is issued for the target battery cell.

2. The method for screening multi-electrode cells after lamination according to claim 1, characterized in that, The acquisition of the target cell's weight information, as well as the cell's average weight and weight standard deviation, includes: Obtain the total weight of all cells in the target electrode roll to which the target cell belongs after cutting. A first average weight and a first weight standard deviation are determined based on the total weight of all the battery cells, and the first average weight and the first weight standard deviation are used as the average weight and the weight standard deviation.

3. The method for screening multi-electrode cells after lamination according to claim 2, characterized in that, The acquisition of the target cell's weight information, as well as the cell's average weight and weight standard deviation, further includes: Obtain the historical average weight and historical standard deviation of similar polar rolls after pruning from the database, wherein the historical similar polar rolls are of the same type as the target polar roll; The average weight and the weight standard deviation are determined based on the historical average weight and the historical standard deviation.

4. The method for screening multi-electrode cells after lamination according to claim 3, characterized in that, The step of determining the average weight and the weight standard deviation by the historical average weight and the historical standard deviation includes: Assign a first weight to the first average weight and the first weight standard deviation; A second weight is assigned to the historical average weight and the historical standard deviation; The average weight is determined based on the weighted first average weight and the weighted historical average weight; The weight standard deviation is determined based on the weighted first weight standard deviation and the weighted historical standard deviation.

5. The method for screening multi-electrode cells after lamination according to claim 4, characterized in that, The sum of the first weight and the second weight is 1; The first weight is positively correlated with the number of cells obtained after the target electrode roll has been cut; The second weight is negatively correlated with the number of battery cells.

6. The method for screening multi-electrode cells after lamination according to any one of claims 1-5, characterized in that, The method for screening multi-electrode cells after lamination also includes: The second weight control threshold and the third weight control threshold are determined based on the average weight and the weight standard deviation; When the fluctuation of the weight information is greater than the first weight control threshold and less than or equal to the second weight control threshold, a weight fluctuation warning is generated. When the fluctuation of the weight information is greater than the second weight control threshold and less than the third weight control threshold, the performance data of the target cell is reviewed. When the fluctuation of the weight information is greater than or equal to the third weight control threshold, the target battery cell is intercepted. The weight control thresholds are arranged in ascending order as the first weight control threshold, the second weight control threshold, and the third weight control threshold.

7. The method for screening multi-electrode cells after lamination according to claim 6, characterized in that, The first weight control threshold is determined by the average weight and plus or minus one of the weight standard deviations; The second weight control threshold is determined by the average weight and plus or minus two of the weight standard deviations; The third weight control threshold is determined by the average weight and plus or minus three standard deviations of the weight.

8. A multi-electrode screening device for stacked battery cells, characterized in that, include: The weight acquisition module is used to acquire the weight information of the target battery cell, as well as the average weight and weight standard deviation of the battery cell; An interval determination module is used to determine a first weight control threshold based on the average weight and the weight standard deviation; The early warning and screening module is used to issue an early warning to the target battery cell when the fluctuation of the weight information exceeds the first weight control threshold.

9. An electronic device, characterized in that, Including memory and processor; The memory is used to store computer programs; The processor is configured to implement the multi-electrode screening method for stacked cells as described in any one of claims 1-7 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the multi-electrode screening method for stacked cells as described in any one of claims 1-7.

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