An electrode sheet advancing deviation correction control method and a lithium battery electrode sheet processing device

Abstract

The application relates to the technical field of lithium battery processing, and discloses a pole piece running deviation rectification control method and a lithium battery pole piece processing equipment. The method comprises the following steps: in the pole piece running process, whether the current is in a tab grabbing failure state is identified in real time; the edge position of the pole piece is periodically sampled in the tab grabbing failure state; in each sampling period, a plurality of groups of original sampling data are continuously collected according to a preset sampling frequency, the current edge position of the pole piece is estimated based on the plurality of groups of original sampling data in the current sampling period; and according to the offset amount of the current edge position and a reference edge position, a target adjustment stroke of a deviation rectification execution mechanism is calculated and corresponding operation is performed. According to the plurality of groups of original sampling data collected at different sampling moments in the current sampling period, the edge position of the pole piece is estimated, single sampling deviation caused by edge damage, abnormal light transmission or instantaneous interference is effectively inhibited, and the reliability of the deviation rectification control in the tab grabbing failure state is improved.

Description

Technical Field

[0001] This application relates to the field of lithium battery processing technology, and in particular to a method for controlling electrode movement and a lithium battery electrode processing equipment. Background Technology

[0002] In the industrial production of lithium battery electrodes, the electrodes are thin, flexible substrates. During high-speed continuous feeding, they are easily affected by factors such as roller coaxiality deviation, material tension fluctuations, equipment vibration, material offset, and changes in ambient temperature and humidity, resulting in defects such as… Figure 1 and Figure 2 The deviation phenomenon shown (manifested as left-right offset of the electrode sheet) causes deformation problems such as wrinkles. To address this, the industry commonly uses a traveling automatic deviation correction system (EPC, Edge Position Controller). This system uses photoelectric / laser edge sensors to collect the edge position of the electrode sheet in real time. The controller drives the deviation correction actuator to adjust the angle of the correction rollers, thereby offsetting the electrode sheet offset and ensuring the stability of the electrode sheet's trajectory.

[0003] However, traditional web correction control systems have at least the following technical drawbacks:

[0004] Conventional electrode alignment systems rely solely on single-sampled signals from sensors for edge positioning. When the electrode edge is damaged, light transmission is abnormal, there is a sudden, significant shift, or sensor signal interference, edge-grabbing failure is highly likely. However, the system fails to recognize this failure state and continues to output alignment commands based on single-sampled signals. The alignment actuator blindly adjusts back and forth, resulting in alignment parameters that do not match the actual electrode condition. This exacerbates electrode misalignment and, in severe cases, can lead to tape breakage, winding misalignment, and equipment jamming.

[0005] Therefore, improvements to existing technologies are necessary.

[0006] The above information is provided as background information only to aid in understanding this application and does not constitute an assertion or admission that any of the above content can be used as prior art relative to this application. Summary of the Invention

[0007] This application provides an electrode travel correction control method and lithium battery electrode processing equipment to solve the problem of low reliability of correction control in the prior art.

[0008] To achieve the above objectives, this application provides the following technical solution:

[0009] In a first aspect, embodiments of this application provide an electrode travel correction control method, including:

[0010] During the movement of the electrode sheet, it is possible to identify in real time whether the edge-grabbing has failed.

[0011] In the state of edge failure, the edge position of the electrode is periodically sampled by a sensor; within each sampling period, multiple sets of original sampling data corresponding to different sampling times are continuously collected according to a preset sampling frequency, and the current edge position of the electrode is estimated based on the multiple sets of original sampling data in the current sampling period.

[0012] Based on the offset between the current edge position and the preset reference edge position, the target adjustment stroke of the correction actuator is calculated, and the corresponding operation is performed according to the target adjustment stroke.

[0013] Optionally, the real-time identification of whether the current edge-grabbing failure state is in progress includes:

[0014] Obtain the instantaneous offset of the electrode at the current time t. Preset instantaneous offset failure threshold The real-time sampling signal strength of the sensor at time t. The preset minimum effective signal threshold for edge grabbing Duration of the current offset anomaly and preset abnormal duration threshold ;

[0015] Determine whether at least two of the following conditions are met simultaneously: , , If so, then the current state is determined to be one where the edge grabbing is ineffective.

[0016] Optionally, estimating the current edge position of the electrode based on multiple sets of the original sampling data within the current sampling period includes:

[0017] Abnormal data is removed from the multiple sets of original sampled data to obtain multiple sets of valid data;

[0018] The current edge position is obtained by applying a weighted average to multiple sets of valid data. .

[0019] Optionally, the Grubbs algorithm is used to remove outlier data from the multiple sets of original sampled data. The expression for the Grubbs algorithm is:

[0020] ;

[0021] in, The standard deviation of all valid sampled data; The edge coordinates of the i-th valid sampled data; The coordinate average of all valid sampled data; n is the number of valid sampled data in a single sampling period; The preset confidence level; The Grubbs critical coefficient is determined based on the number of sampled data n and the confidence level. Retrieve from table.

[0022] Optionally, the expression for the weighted average algorithm is:

[0023] ;

[0024] in, The edge coordinates of the i-th valid sampled data; is the weight of the i-th valid sample data, with a higher weight the closer it is to the current time; n is the number of valid samples in a single sampling period, ranging from 5 to 20.

[0025] Optionally, each set of raw sampling data includes: the electrode edge coordinates collected at multiple sampling points along the electrode travel direction at the same time.

[0026] Optionally, the step of adjusting the travel distance according to the target and performing the corresponding operation includes:

[0027] If the target adjustment stroke Meet the conditions Then adjust the stroke based on the target. The control mechanism performs adaptive correction operations, the aforementioned The preset safety threshold;

[0028] If the target adjustment stroke Meet the conditions The corrective actuator is then controlled to perform a corrective operation according to its maximum output stroke, while simultaneously triggering a first-level warning operation to indicate that the current location is in a risk zone; This is the limit threshold;

[0029] If the target adjustment stroke Meet the conditions If this occurs, a second-level warning operation is triggered to indicate that the current area is in the over-limit range, and the traveling speed of the electrode is reduced or a shutdown action is performed.

[0030] Optional, also includes:

[0031] In the state where the edge gripping fails, the current offset of the current edge position relative to the reference edge position is calculated in real time. ;

[0032] Record the current offset The duration during which the error exceeds the preset scrap offset threshold;

[0033] Based on the start and end times of the duration and the real-time travel speed of the electrode during the duration, the scrap length of the electrode is calculated. .

[0034] Secondly, embodiments of this application provide a lithium battery electrode processing device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the electrode travel correction control method described above.

[0035] Thirdly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which are executed by a computer processor to implement the electrode travel correction control method described in any of the above claims.

[0036] Compared with the prior art, this application has the following beneficial effects:

[0037] In the case of edge gripping failure, this embodiment comprehensively estimates the edge position of the electrode based on multiple sets of original sampling data collected at different sampling times within the current sampling period. This effectively suppresses single sampling deviations caused by edge damage, abnormal light transmission, or instantaneous interference, enabling the system to acquire edge data close to the true position of the electrode even when the sensor signal is unreliable. This provides a reliable positional basis for subsequent correction commands, thereby improving the reliability of correction control in the case of edge gripping failure.

[0038] This application has other features and advantages that will be apparent from or will be set forth in detail in the accompanying drawings and following detailed description, which together serve to explain the particular principles of this application. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a production status view after the electrode sheet has slightly deviated by 5mm;

[0041] Figure 2 This is a production status view after the electrode sheet has slightly deviated by 10mm;

[0042] Figure 3 This is a flowchart of the electrode travel correction control method provided in the embodiments of this application. Detailed Implementation

[0043] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] Please refer to Figure 3 This application provides an electrode travel correction control method, including:

[0045] S11. During the movement of the electrode sheet, identify in real time whether it is in the edge gripping failure state. If it enters the edge gripping failure state, continue to execute step S12.

[0046] Among them, the edge-grabbing failure state refers to the state in which the single sampling data output by the sensor may deviate from the true edge position of the electrode due to factors such as electrode edge damage, abnormal light transmission, instantaneous large-scale offset, signal interference, etc., and cannot be used as an effective basis for correction.

[0047] This step monitors the sensor signal status in real time and continues to execute the subsequent step S12 when the edge-grabbing failure state is entered. This is different from the control mode of traditional solutions that ignore the validity of sensor signals and always use the single sample signal as the basis for correction. It effectively avoids blind correction caused by sensor misjudgment.

[0048] S12. In the state of edge gripping failure, the edge position of the electrode is periodically sampled by the sensor: In each sampling period, multiple sets of original sampling data corresponding to different sampling times are continuously collected according to the preset sampling frequency, and the current edge position of the electrode is estimated based on the multiple sets of original sampling data in the current sampling period.

[0049] It is important to note that, unlike traditional solutions that still rely on a single instantaneous sample value from the sensor as the basis for position determination after edge gripping failure, this step switches to a periodic sampling mode after determining edge gripping failure. In each sampling period, multiple sets of raw sampling data are collected in a time-division manner. The current edge position is estimated by comprehensively processing multiple sets of raw sampling data in the same sampling period, thereby effectively reducing the single sampling deviation caused by edge damage, abnormal light transmission, or instantaneous interference, and achieving reliable restoration of the true edge position of the electrode.

[0050] S13. Calculate the target adjustment stroke of the correction actuator based on the current edge position and the preset reference edge position, and perform the corresponding operation according to the target adjustment stroke.

[0051] In summary, the embodiments of this application switch to the periodic sampling mode after recognizing the edge failure state, and estimate the position of the electrode edge based on multiple sets of original sampling data in the current period, and drive the correction actuator to perform a response operation corresponding to the target adjustment stroke.

[0052] Based on this, in the case of edge gripping failure, the embodiment of this application comprehensively estimates the edge position of the electrode based on multiple sets of original sampling data collected at different sampling times within the current sampling period. This effectively suppresses single sampling deviations caused by edge damage, abnormal light transmission, or instantaneous interference, enabling the system to still obtain edge sampling data close to the true position of the electrode even when the sensor signal is unreliable. This provides a reliable positional basis for subsequent correction commands, thereby improving the reliability of correction control in the case of edge gripping failure.

[0053] In another optional implementation, the electrode travel correction control method provided in this application includes:

[0054] S21. When the edge grabbing is effective, perform normal correction operation.

[0055] For example, this step specifically includes:

[0056] During the normal movement of the electrode, the electrode edge coordinates are collected in real time by the sensor. Calculate instantaneous offset Instantaneous offset The calculation formula is as follows:

[0057] ;

[0058] In the formula: The instantaneous offset of the electrode at the current time t (mm); The coordinates (mm) of the electrode edge collected at time t are as follows; The reference edge position of the electrode (mm);

[0059] when ≤ At that time, among them The system uses the standard correction threshold as a guide. Adaptive dynamic correction is performed to maintain the stability of the electrode trajectory.

[0060] S22. Real-time intelligent determination of edge grabbing failure status.

[0061] For example, this embodiment sets three judgment conditions. If any two of the conditions are met, it is determined that the current edge grabbing state is invalid. The judgment formula is as follows:

[0062] ;

[0063] ;

[0064] ;

[0065] In the formula, The instantaneous offset of the electrode at the current time t (mm); The preset instantaneous offset failure threshold (mm) is greater than the conventional correction threshold. ; The real-time sampled signal strength of the sensor at time t; The preset minimum effective signal threshold for edge grabbing. Below This indicates that the edge of the electrode cannot be accurately identified; The duration (in seconds) of the current offset anomaly can be specified. Duration; This is a preset threshold for abnormal duration, used to filter out transient signal interference.

[0066] S23. In the state of edge grabbing failure, estimate the current edge position of the electrode based on multiple sets of original sampling data within the current sampling period.

[0067] When the system determines that the current edge-grabbing state has failed, it immediately freezes the regular correction commands and prohibits the correction actuator from blindly adjusting. At the same time, it starts the periodic sampling mode: within each sampling period, it continuously collects multiple sets of raw sampling data corresponding to different sampling times according to the preset sampling frequency; it removes abnormal data from the multiple sets of raw sampling data to obtain multiple sets of valid data; and it estimates the current edge position of the electrode based on the multiple sets of valid data.

[0068] For example, to avoid interference from anomalous data, the Grubbs criterion can be used to remove outliers and filter out valid data. The calculation formula for the Grubbs algorithm is as follows:

[0069] ;

[0070] In the formula: The standard deviation of all valid sampled data; The edge coordinates of the i-th valid sampled data; The coordinate average of all valid sampled data; n is the number of valid sampled data in a single sampling period; The preset confidence level; The Grubbs critical coefficient is determined based on the number of sampled data n and the confidence level. Retrieve from table.

[0071] In this embodiment, the original sampled data that satisfies the inequality is determined to be valid data, and otherwise it is determined to be outlier and directly discarded.

[0072] For example, after outlier filtering, the current edge position can be calculated using a weighted average algorithm for the valid data. To accurately restore the true position of the electrode, the formula is as follows:

[0073] ;

[0074] In the formula: The edge coordinates of the i-th valid sampled data; is the weight of the i-th valid sample data, with a higher weight the closer it is to the current time; n is the number of valid samples in a single sampling period, ranging from 5 to 20.

[0075] Furthermore, for example, each set of raw sampling data may include: the electrode edge coordinates collected at multiple sampling points along the electrode travel direction at the same time.

[0076] That is, at each sampling moment, the sensor synchronously acquires the edge coordinates of the electrode at multiple sampling points, forming a set of raw sampling data at that moment; the multiple sets of raw sampling data corresponding to multiple sampling moments within the same sampling period together constitute statistical sample data for estimating the current edge position.

[0077] This embodiment sets multiple sampling points at the same sampling time, so that each set of original sampling data itself contains edge information of the electrode at multiple positions along the direction of travel at that time. This effectively avoids single-point sampling deviation caused by local defects of the electrode at a single sampling point (such as edge damage, uneven coating, local wrinkles, etc.), and further improves the current edge position. The accuracy and interference resistance of the estimation.

[0078] S24. Determine the target adjustment stroke and perform the corresponding operation accordingly.

[0079] First, based on the estimated current edge position Calculate the target adjustment stroke required by the corrective actuator. The calculation formula is: In the formula: The conversion factor between the stroke and offset of the correction mechanism is obtained from the calibration of the equipment's mechanical structure parameters;

[0080] Secondly, adjust the itinerary according to the target. and pre-set two-level safety activity thresholds (safety thresholds) Limit threshold To perform the corresponding operation; the specific logic of this step is as follows:

[0081] If the target adjusts the travel Meet the conditions Then adjust the travel based on the target. The control mechanism performs adaptive correction operations; among which... The preset safety threshold;

[0082] If the target adjusts the travel Meet the conditions If the corrective actuator is activated, it will perform a corrective operation according to its maximum output stroke, while simultaneously triggering a first-level warning operation (such as a yellow light warning) to indicate that the current risk zone is in effect; where, This is a preset limit threshold;

[0083] If the target adjusts the travel Meet the conditions If this is triggered, a second-level warning operation will be activated to indicate that the current area is in the over-limit zone (such as a red light + buzzer warning), while simultaneously controlling the speed of the electrode to slow down or executing a shutdown action.

[0084] S25. Implement quantitative prevention and control of electrode misalignment and scrapping.

[0085] For example, to quantify the range of electrode scrapping under edge failure conditions, this embodiment provides a model for determining the scrapping range due to deviation:

[0086] This indicates that the current offset is within the acceptable range and normal production can proceed.

[0087] This indicates that the current offset is in the critical range, and normal production is possible, but further action is required based on... Perform corrective actions;

[0088] : Indicates that the current offset is in the scrap range, mark the scrap and remove it;

[0089] In the formula: To determine based on the current edge position relative to the reference edge position The offset; The maximum allowable deviation for the preset electrode process; the scrap offset threshold is greater than Optional .

[0090] Based on the above-mentioned deviation failure range determination model and the current offset When it is determined that the current area is in the scrap zone, record the current offset. Continuously exceeding the scrap offset threshold (e.g.) The duration of the duration is determined; based on the start and end times of the duration and the real-time speed of the electrode during the duration, the length of the scrapped electrode is calculated. .

[0091] It should be noted that, in this embodiment, according to the graded operation strategy in step S24, the real-time traveling speed of the electrode during the continuous period may remain constant (no speed reduction or shutdown triggered), or it may change due to a speed reduction trigger (speed reduction triggered but no shutdown), or even drop to zero (shutdown triggered). Regardless of the speed change, this embodiment uses the actual traveling speed of the electrode during the continuous period as a benchmark for integration or accumulation statistics to ensure that the statistical result of the scrap length tends to be consistent with the actual physical length.

[0092] At this point, the length of scrap material generated by a single edge-grabbing failure can be calculated. This embodiment links the scrap length statistics with the grading operation strategy in S24, using the actual travel speed of the electrode sheet during the continuous period as the statistical benchmark. This ensures that the scrap length statistics can accurately reflect the actual scrap length under different grading operation strategies, avoiding the statistical deviation caused by estimating the scrap length at a constant speed in traditional solutions. This provides accurate data support for scrap management and provides a quantitative basis for optimizing system response time and minimizing the scrap length.

[0093] S26. After staff have checked and repaired faults such as sensor obstruction, electrode damage, and abnormal tension, the alarm will be manually / automatically reset, and the system can return to the normal correction mode.

[0094] In summary, compared with traditional web correction control schemes, the embodiments of this application have the following technical advantages:

[0095] It can accurately identify edge grab failure: It adopts a three-condition joint judgment mechanism to avoid the problem of misjudgment of a single signal, and the accuracy of edge grab failure status identification can be improved by more than 98%, and blind correction actions can be intercepted in time.

[0096] High-precision edge position restoration is achieved: the position of the electrode after failure is estimated by a multi-point weighted average algorithm. Compared with traditional single-point sampling, the position reading error can be reduced by more than 75%, providing accurate data support for subsequent correction and alarm.

[0097] A graded over-limit alarm protection system has been formed: the travel range is divided into three levels: safety, risk and over-limit, which replaces the traditional single threshold alarm. This not only avoids frequent shutdowns that affect production capacity, but also prevents damage to the mechanism due to over-travel and loss of control of the electrode.

[0098] Significantly reduce electrode scrap rate: Based on the scrap interval judgment model and scrap length calculation formula, the scrap material length is precisely controlled, reducing the scrap material length caused by a single edge grasping failure by 60% to 85%, effectively solving the problem of batch electrode scrapping after edge grasping failure and reducing the production cost of lithium battery raw materials.

[0099] Wide adaptability: The algorithm of this application embodiment can be directly installed on existing mobile EPC and other correction systems without large-scale hardware modification. It is compatible with flexible substrates such as positive electrode, negative electrode and separator in the entire process of coating, slitting and winding, and has low implementation cost.

[0100] Secondly, this application provides a lithium battery electrode processing device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the electrode travel correction control method described in any of the above embodiments.

[0101] The above-described device can execute the methods provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects for executing the methods, which will not be described in detail here.

[0102] Thirdly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the electrode travel correction control method provided in all embodiments of this application.

[0103] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0104] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0105] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0106] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0107] Finally, it should be noted that although the above embodiments have been described in the text and drawings of this application, this should not limit the scope of patent protection of this application. Any technical solutions that are based on the essential concept of this application and utilize the content described in the text and drawings of this application, resulting in equivalent structural or procedural substitutions or modifications, as well as the direct or indirect application of the technical solutions of the above embodiments to other related technical fields, are all included within the scope of patent protection of this application.

Claims

1. A method for controlling electrode travel and correction, characterized in that, include: During the movement of the electrode sheet, it is possible to identify in real time whether the edge-grabbing has failed. In the state of edge failure, the edge position of the electrode is periodically sampled by a sensor; Within each sampling period, multiple sets of raw sampling data corresponding to different sampling times are continuously acquired according to a preset sampling frequency. The current edge position of the electrode is estimated based on the multiple sets of raw sampling data within the current sampling period. Based on the current edge position and the preset reference edge position, the target adjustment stroke of the correction actuator is calculated, and the corresponding operation is performed according to the target adjustment stroke.

2. The electrode travel correction control method according to claim 1, characterized in that, The real-time identification of whether the current edge-grabbing state is in failure includes: Obtain the instantaneous offset of the electrode at the current time t. Preset instantaneous offset failure threshold The real-time sampling signal strength of the sensor at time t. The preset minimum effective signal threshold for edge grabbing Duration of the current offset anomaly and preset abnormal duration threshold ; Determine whether at least two of the following conditions are met simultaneously: , , If so, then the current state is determined to be one where the edge grabbing is ineffective.

3. The electrode travel correction control method according to claim 1, characterized in that, The estimation of the current edge position of the electrode based on multiple sets of the original sampling data within the current sampling period includes: Abnormal data is removed from the multiple sets of original sampled data to obtain multiple sets of valid data; The current edge position is obtained by applying a weighted average to multiple sets of valid data. .

4. The electrode travel correction control method according to claim 3, characterized in that, The Grubbs algorithm is used to remove outliers from the multiple sets of original sampled data. The expression for the Grubbs algorithm is: ； in, The standard deviation of all valid sampled data; The edge coordinates of the i-th valid sampled data; The coordinate average of all valid sampled data; n is the number of valid sampled data in a single sampling period; The preset confidence level; The Grubbs critical coefficient is determined based on the number of sampled data n and the confidence level. Retrieve from table.

5. The electrode travel correction control method according to claim 3, characterized in that, The expression for the weighted average algorithm is: ； in, The edge coordinates of the i-th valid sampled data; is the weight of the i-th valid sample data, with a higher weight the closer it is to the current time; n is the number of valid samples in a single sampling period, ranging from 5 to 20.

6. The electrode travel correction control method according to claim 1, characterized in that, Each set of raw sampling data includes: the electrode edge coordinates collected at multiple sampling points along the electrode's travel direction at the same time.

7. The electrode travel correction control method according to claim 1, characterized in that, The step of adjusting the travel according to the target and performing corresponding operations includes: If the target adjustment stroke Meet the conditions Then adjust the stroke based on the target. The control mechanism performs adaptive correction operations, the aforementioned The preset safety threshold; If the target adjustment stroke Meet the conditions The corrective actuator is then controlled to perform a corrective operation according to its maximum output stroke, while simultaneously triggering a first-level warning operation to indicate that the current location is in a risk zone; This is the limit threshold; If the target adjustment stroke Meet the conditions If this occurs, a second-level warning operation is triggered to indicate that the current area is in the over-limit range, and the traveling speed of the electrode is reduced or a shutdown action is performed.

8. The electrode travel correction control method according to claim 1, characterized in that, Also includes: In the state where the edge gripping fails, the current offset of the current edge position relative to the reference edge position is calculated in real time. ; Record the current offset The duration during which the error exceeds the preset scrap offset threshold; Based on the start and end times of the duration and the real-time travel speed of the electrode during the duration, the scrap length of the electrode is calculated. .

9. A lithium battery electrode processing apparatus, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the electrode travel correction control method as described in any one of claims 1-8.

10. A computer-readable storage medium having computer-executable instructions stored thereon, characterized in that, The computer-executable instructions are executed by a computer processor to implement the electrode travel correction control method as described in any one of claims 1-8.

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