A method and apparatus for screening the consistency of battery cells

Abstract

This application provides a method and apparatus for screening battery cell consistency. The method includes: grouping battery cells to be rated by capacity using a K-value to obtain multiple cell groups; performing a self-discharge test on each cell group for a preset time period to obtain test results; determining the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group based on the test results; measuring the dispersion baseline corresponding to each cell in each cell group; calculating the impedance root mean square error of each cell in the cell group at each frequency point based on the EIS data and the dispersion baseline; and performing consistency screening on each cell in each cell group based on the impedance root mean square error and the NG threshold to obtain screening results. It is evident that this method and apparatus can perform screening by combining the EIS spectrum of the battery cells, with good accuracy and avoiding misjudgments, thus facilitating the identification of problematic cells or hidden risks.

Description

Technical Field

[0001] This application relates to the field of battery testing technology, and more specifically, to a method and apparatus for screening the consistency of battery cells. Background Technology

[0002] Currently, with the increasing popularity of electric vehicles, the performance of their batteries is receiving more and more attention. During the use of battery modules, poor consistency among individual cells not only leads to inaccurate assessment of the battery pack's charge state and health, but also results in performance degradation of the entire battery module, reduced battery life, and potentially even safety issues. Existing cell consistency screening methods typically rely on multiple voltage sampling, using a "voltage difference / time difference" approach to filter out defective cells and group them. However, in practice, it has been found that existing methods are not accurate enough in screening cells and are prone to misjudgment. Summary of the Invention

[0003] The purpose of this application is to provide a method and apparatus for screening battery cell consistency, which can screen the cells by combining the EIS spectrum of the cells, with good accuracy and avoidance of misjudgment, thereby helping to identify problematic cells or hidden risks.

[0004] The first aspect of this application provides a method for screening the consistency of battery cells, including:

[0005] The cells to be rated are grouped by K-value to obtain multiple cell groups; each cell group has a corresponding K-value.

[0006] Each of the battery cells was subjected to a self-discharge test for a preset time period to obtain the test results;

[0007] Based on the test results, determine the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group;

[0008] Measure the dispersion baseline for each cell in each of the said cell groups;

[0009] Calculate the impedance mean square error for each cell in the cell group at each frequency point based on the EIS data and the dispersion baseline.

[0010] Each cell in each cell group is subjected to consistency screening based on the impedance mean square error and the NG threshold to obtain the screening results.

[0011] Further, determining the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group based on the test results includes:

[0012] The EIS data for each cell in each cell group is determined based on the test results.

[0013] The NG threshold for each cell in each cell group is determined based on the EIS data.

[0014] Further, the measurement of the dispersion baseline corresponding to each cell in each of the cell groups includes:

[0015] Measure the EIS curve for each cell in each of the said cell groups;

[0016] Calculate the mean EIS curve for each cell group based on the EIS curve;

[0017] The dispersion baseline for each cell group is determined based on the mean EIS curve.

[0018] Further, the step of performing consistency screening on each cell in each cell group based on the impedance mean square error and the NG threshold to obtain the screening result includes:

[0019] The impedance mean square error and the NG threshold are compared accordingly to obtain the comparison results for each cell in each cell group;

[0020] Based on the comparison results, determine whether each cell in each cell group is free of problems;

[0021] If not, the problematic battery cell will be identified as a battery cell to be isolated.

[0022] Screening results are generated based on the cells to be isolated.

[0023] Furthermore, the EIS data includes the real impedance value, the imaginary impedance value, and the maximum mean square error of the impedance mean curve at each corresponding frequency point.

[0024] A second aspect of this application provides a cell consistency screening device, the cell consistency screening device comprising:

[0025] The capacity allocation and grouping unit is used to allocate the cells to be allocated capacity using the K-value to obtain multiple cell groups; wherein, each cell group has a corresponding K-value.

[0026] The test unit is used to perform a self-discharge test on each of the battery cells for a preset time period and obtain the test results;

[0027] The determining unit is used to determine the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group based on the test results.

[0028] A measurement unit is used to measure the discrete baseline corresponding to each cell in each of the cell groups;

[0029] The calculation unit is used to calculate the impedance mean square error of each cell in the cell group at each frequency point based on the EIS data and the dispersion baseline.

[0030] A screening unit is used to perform consistency screening on each cell in each cell group based on the impedance mean square error and the NG threshold, and obtain screening results.

[0031] Furthermore, the determining unit includes:

[0032] The first determining subunit is used to determine the EIS data of each cell in each cell group based on the test results;

[0033] The second determining subunit is used to determine the NG threshold corresponding to each cell in each cell group based on the EIS data.

[0034] Furthermore, the measuring unit includes:

[0035] A measurement subunit is used to measure the EIS curve corresponding to each cell in each of the cell groups;

[0036] A calculation subunit is used to calculate the mean EIS curve corresponding to each cell group based on the EIS curve.

[0037] A sub-unit is determined to determine the dispersion baseline corresponding to each cell group based on the mean EIS curve.

[0038] Furthermore, the screening unit includes:

[0039] The comparison subunit is used to compare the impedance mean square error and the NG threshold to obtain the comparison result for each cell in each cell group.

[0040] The judgment subunit is used to determine, based on the comparison results, whether each cell in each cell group is free of problems.

[0041] The screening subunit is used to identify the problematic cells as cells to be isolated when not all cells in each cell group are free of problems.

[0042] A sub-unit is generated to generate screening results based on the cells to be isolated.

[0043] Furthermore, the EIS data includes the real impedance value, the imaginary impedance value, and the maximum mean square error of the impedance mean curve at each corresponding frequency point.

[0044] A third aspect of this application provides an electronic device including a memory and a processor, the memory storing a computer program, and the processor running the computer program to cause the electronic device to perform the cell consistency screening method described in any one of the first aspects of this application.

[0045] The fourth aspect of this application provides a computer-readable storage medium storing computer program instructions, which, when read and executed by a processor, perform the cell consistency screening method described in any one of the first aspects of this application.

[0046] The beneficial effects of this application are: the method and device can screen cells by combining the EIS spectrum of the cells, which has good accuracy and avoids misjudgment, thereby helping to identify problematic cells or hidden risks. Attached Figure Description

[0047] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 A schematic flowchart of a cell consistency screening method provided in this application embodiment;

[0049] Figure 2 A flowchart illustrating another cell consistency screening method provided in this application embodiment;

[0050] Figure 3 This is a schematic diagram of the structure of a cell consistency screening device provided in an embodiment of this application;

[0051] Figure 4 This is a schematic diagram of another cell consistency screening device provided in an embodiment of this application;

[0052] Figure 5 This is a flowchart of a cell capacity allocation and grouping method provided in an embodiment of the present application for a cell consistency screening method;

[0053] Figure 6 A flowchart of a secondary screening process based on EIS is provided for embodiments of this application;

[0054] Figure 7 This is a schematic diagram of multiple EIS curves provided in an embodiment of this application. Detailed Implementation

[0055] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0056] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0057] Example 1

[0058] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a cell consistency screening method provided in this embodiment. The cell consistency screening method includes:

[0059] S101. The cells to be rated are grouped by K value to obtain multiple cell groups; each cell group has a corresponding K value.

[0060] S102. Perform a self-discharge test on each cell group for a preset time period and obtain the test results.

[0061] S103. Based on the test results, determine the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group.

[0062] In this embodiment, the EIS data includes the real impedance value, the imaginary impedance value, and the maximum root mean square error of the impedance mean curve at each corresponding frequency point. Specifically, the maximum root mean square error ΔSn between Zre, Zim, and the mean curve at each frequency point is... 2 .

[0063] S104. Measure the discreteness baseline for each cell in each cell group.

[0064] S105. Calculate the impedance mean square error for each cell in the cell group at each frequency point based on EIS data and the dispersion baseline.

[0065] S106. Perform consistency screening on each cell in each cell group based on the impedance mean square error and NG threshold to obtain the screening results.

[0066] In this embodiment, the method provides a way to screen cell consistency using EIS. Specifically, EIS can quickly measure and characterize the internal structural characteristics of the cell, thereby fully reflecting the cell's internal resistance and interface characteristics. When the EIS spectra of two cells have a sufficiently high degree of overlap, it confirms that the characteristics of the two cells are very similar. Based on this, this method has the following advantages over current grouping methods:

[0067] (1) Because EIS measurement causes slight polarization of the cell, EIS measurement is placed after the second OCV measurement to ensure the accuracy of K calculation;

[0068] (2) After the K-value grouping is completed, the EIS spectrum comparison within the group is performed for secondary grouping to ensure that the cells maintain a high degree of consistency and to prevent abnormal cells from being screened out during K-value grouping.

[0069] Please refer to Figure 5 , Figure 5 A flowchart of the cell capacity matching process corresponding to this method is shown.

[0070] In this embodiment, the subject executing the method can be a computing device such as a computer or server, and no limitation is made in this embodiment.

[0071] In this embodiment, the subject executing the method can also be a smart device such as a smartphone or tablet, and no limitation is made in this embodiment.

[0072] As can be seen, the cell consistency screening method described in this embodiment can intuitively reflect the differences between cells through spectral differences, and ensure high consistency by maintaining the EIS spectra of cells with the same K value, thereby guaranteeing the performance of the cells after assembly. Furthermore, cells screened through secondary EIS screening can be disassembled and analyzed to identify internal structural problems, which helps to pinpoint deficiencies or hidden risks in the production process.

[0073] Example 2

[0074] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating a cell consistency screening method provided in this embodiment. The cell consistency screening method includes:

[0075] S201. The cells to be rated are grouped by K value to obtain multiple cell groups; each cell group has a corresponding K value.

[0076] S202. Perform a self-discharge test on each cell group for a preset time period and obtain the test results.

[0077] S203. Determine the EIS data of each cell in each cell group based on the test results.

[0078] In this embodiment, the EIS data includes the real impedance value, the imaginary impedance value, and the maximum mean square error of the impedance mean curve at each corresponding frequency point. The maximum mean square error between Zre, Zim, and the mean curve at each frequency point is ΔSn. 2 .

[0079] S204. Determine the NG threshold for each cell in each cell group based on EIS data.

[0080] In this embodiment, the NG threshold is the NG threshold used when performing EIS secondary screening on the battery cell.

[0081] S205. Measure the EIS curve of each cell in each cell group.

[0082] S206. Calculate the mean EIS curve for each cell group based on the EIS curve.

[0083] S207. Determine the dispersion baseline for each cell group based on the mean EIS curve.

[0084] S208. Calculate the impedance mean square error for each cell in the cell group at each frequency point based on EIS data and the dispersion baseline.

[0085] S209. Compare the impedance mean square error and the NG threshold to obtain the comparison results for each cell in each cell group.

[0086] S210. Based on the comparison results, determine whether each cell in each cell group has no problems. If yes, end this process; otherwise, proceed to step S211.

[0087] S211. Identify the problematic battery cells as those to be isolated.

[0088] S212. Generate screening results based on the cells to be isolated.

[0089] Please refer to Figure 6 , Figure 6 A flowchart of a secondary screening process based on EIS is shown. This method determines the consistency of battery cells by calculating the dispersion of their EIS curves based on EIS profiles, as detailed below:

[0090] (1) Conduct self-discharge tests on multiple groups of cells with similar K values ​​for 6 months to determine the maximum root mean square error ΔSn of Zre, Zim and mean curves of the cell with the highest self-discharge at each frequency point. 2 The result is defined as the NG threshold during EIS secondary screening;

[0091] (2) After the K value is calculated and the cells are grouped, the EIS curve of each cell in the group is measured and stored in the server for each cell.

[0092] (3) Calculate the EIS values ​​at each frequency point within the same group. A mean EIS curve is fitted and used as the baseline for calculating the dispersion of this group;

[0093] (4) Retrieve the EIS data of each cell in the group and calculate the root mean square error S at each frequency point. n 2 And sequentially compared with the corresponding threshold ΔS n 2 In contrast, if the threshold is exceeded, the battery cell will be disassembled and inspected after a certain period of time to prevent batch problems and hidden risks.

[0094] Please refer to Figure 7 , Figure 7 A schematic diagram of multiple EIS curves is shown.

[0095] In this embodiment, the subject executing the method can be a computing device such as a computer or server, and no limitation is made in this embodiment.

[0096] In this embodiment, the subject executing the method can also be a smart device such as a smartphone or tablet, and no limitation is made in this embodiment.

[0097] As can be seen, the cell consistency screening method described in this embodiment can intuitively reflect the differences between cells through spectral differences, and ensure high consistency by maintaining the EIS spectra of cells with the same K value, thereby guaranteeing the performance of the cells after assembly. Furthermore, cells screened through secondary EIS screening can be disassembled and analyzed to identify internal structural problems, which helps to pinpoint deficiencies or hidden risks in the production process.

[0098] Example 3

[0099] Please refer to Figure 3 , Figure 3 This is a schematic diagram of a cell consistency screening device provided in this embodiment. Figure 3 As shown, the cell consistency screening device includes:

[0100] The capacity allocation unit 310 is used to allocate the cells to be allocated capacity using the K value to obtain multiple cell groups; each cell group has a corresponding K value.

[0101] Test unit 320 is used to perform self-discharge tests on each cell group for a preset time period to obtain test results;

[0102] The determining unit 330 is used to determine the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group based on the test results.

[0103] Measurement unit 340 is used to measure the discrete baseline corresponding to each cell in each cell group;

[0104] The calculation unit 350 is used to calculate the impedance mean square error of each cell in the cell group at each frequency point based on EIS data and the dispersion baseline.

[0105] Screening unit 360 is used to perform consistency screening on each cell in each cell group based on impedance mean square error and NG threshold, and obtain screening results.

[0106] In this embodiment, the explanation of the cell consistency screening device can be referred to the description in Embodiment 1 or Embodiment 2, and will not be repeated here.

[0107] As can be seen, the cell consistency screening device described in this embodiment can intuitively reflect the differences between cells through spectral differences, and ensure high consistency by maintaining the EIS spectra of cells with the same K value, thereby guaranteeing the performance of the cells after assembly. Furthermore, cells screened through secondary EIS screening can be disassembled and analyzed to identify internal structural problems, which helps to pinpoint deficiencies or hidden risks in the production process.

[0108] Example 4

[0109] Please refer to Figure 4 , Figure 4 This is a schematic diagram of a cell consistency screening device provided in this embodiment. Figure 4 As shown, the cell consistency screening device includes:

[0110] The capacity allocation unit 310 is used to allocate the cells to be allocated capacity using the K value to obtain multiple cell groups; each cell group has a corresponding K value.

[0111] Test unit 320 is used to perform self-discharge tests on each cell group for a preset time period to obtain test results;

[0112] The determining unit 330 is used to determine the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group based on the test results.

[0113] Measurement unit 340 is used to measure the discrete baseline corresponding to each cell in each cell group;

[0114] The calculation unit 350 is used to calculate the impedance mean square error of each cell in the cell group at each frequency point based on EIS data and the dispersion baseline.

[0115] Screening unit 360 is used to perform consistency screening on each cell in each cell group based on impedance mean square error and NG threshold, and obtain screening results.

[0116] As an optional implementation, the determining unit 330 includes:

[0117] The first determining subunit 331 is used to determine the EIS data of each cell in each cell group based on the test results;

[0118] The second determining subunit 332 is used to determine the NG threshold corresponding to each cell in each cell group based on EIS data.

[0119] As an optional implementation, the measuring unit 340 includes:

[0120] Measurement subunit 341 is used to measure the EIS curve corresponding to each cell in each cell group;

[0121] The calculation subunit 342 is used to calculate the mean EIS curve for each cell group based on the EIS curve.

[0122] Subunit 343 is defined to determine the dispersion baseline for each cell group based on the mean EIS curve.

[0123] As an optional implementation, the screening unit 360 includes:

[0124] Comparison subunit 361 is used to compare the impedance mean square error and the NG threshold to obtain the comparison result for each cell in each cell group;

[0125] Judgment subunit 362 is used to determine, based on the comparison results, whether each cell in each cell group is free of problems;

[0126] Screening subunit 363 is used to identify the problematic cells as cells to be isolated when not all cells in each cell group are free of problems.

[0127] Generating sub-unit 364 is used to generate screening results based on the cells to be isolated.

[0128] In this embodiment, the EIS data includes the real impedance value, the imaginary impedance value, and the maximum mean square error of the impedance mean curve at each corresponding frequency point.

[0129] In this embodiment, the explanation of the cell consistency screening device can be referred to the description in Embodiment 1 or Embodiment 2, and will not be repeated here.

[0130] As can be seen, the cell consistency screening device described in this embodiment can intuitively reflect the differences between cells through spectral differences, and ensure high consistency by maintaining the EIS spectra of cells with the same K value, thereby guaranteeing the performance of the cells after assembly. Furthermore, cells screened through secondary EIS screening can be disassembled and analyzed to identify internal structural problems, which helps to pinpoint deficiencies or hidden risks in the production process.

[0131] This application provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor runs the computer program to enable the electronic device to perform the cell consistency screening method in embodiment 1 or embodiment 2 of this application.

[0132] This application provides a computer-readable storage medium storing computer program instructions. When the computer program instructions are read and executed by a processor, the cell consistency screening method in embodiment 1 or embodiment 2 of this application is performed.

[0133] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0134] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0135] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0136] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0137] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0138] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for screening the consistency of battery cells, characterized in that, include: The cells to be rated are grouped by K-value to obtain multiple cell groups; each cell group has a corresponding K-value. Each of the battery cells was subjected to a self-discharge test for a preset time period to obtain the test results; Based on the test results, determine the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group; Measure the dispersion baseline for each cell in each of the said cell groups; Calculate the impedance mean square error for each cell in the cell group at each frequency point based on the EIS data and the dispersion baseline. Each cell in each cell group is subjected to consistency screening based on the impedance mean square error and the NG threshold to obtain the screening results.

2. The cell consistency screening method according to claim 1, characterized in that, The step of determining the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group based on the test results includes: The EIS data for each cell in each cell group is determined based on the test results. The NG threshold for each cell in each cell group is determined based on the EIS data.

3. The cell consistency screening method according to claim 1, characterized in that, The measurement of the dispersion baseline corresponding to each cell in each of the cell groups includes: Measure the EIS curve for each cell in each of the said cell groups; Calculate the mean EIS curve for each cell group based on the EIS curve; The dispersion baseline for each cell group is determined based on the mean EIS curve.

4. The cell consistency screening method according to claim 1, characterized in that, The step of performing consistency screening on each cell in each cell group based on the impedance mean square error and the NG threshold to obtain screening results includes: The impedance mean square error and the NG threshold are compared accordingly to obtain the comparison results for each cell in each cell group; Based on the comparison results, determine whether each cell in each cell group is free of problems; If not, the problematic battery cell will be identified as a battery cell to be isolated. Screening results are generated based on the cells to be isolated.

5. The cell consistency screening method according to claim 1, characterized in that, The EIS data includes the real impedance value, the imaginary impedance value, and the maximum mean square error of the impedance mean curve at each corresponding frequency point.

6. A cell consistency screening device, characterized in that, The cell consistency screening device includes: The capacity allocation and grouping unit is used to allocate the cells to be allocated capacity using the K-value to obtain multiple cell groups; wherein, each cell group has a corresponding K-value. The test unit is used to perform a self-discharge test on each of the battery cells for a preset time period and obtain the test results; The determining unit is used to determine the EIS data of each cell in each cell group and the NG threshold corresponding to each cell in each cell group based on the test results. A measurement unit is used to measure the discrete baseline corresponding to each cell in each of the cell groups; The calculation unit is used to calculate the impedance mean square error of each cell in the cell group at each frequency point based on the EIS data and the dispersion baseline. A screening unit is used to perform consistency screening on each cell in each cell group based on the impedance mean square error and the NG threshold, and obtain screening results.

7. The cell consistency screening device according to claim 6, characterized in that, The determining unit includes: The first determining subunit is used to determine the EIS data of each cell in each cell group based on the test results; The second determining subunit is used to determine the NG threshold corresponding to each cell in each cell group based on the EIS data.

8. The cell consistency screening device according to claim 6, characterized in that, The measurement unit includes: A measurement subunit is used to measure the EIS curve corresponding to each cell in each of the cell groups; A calculation subunit is used to calculate the mean EIS curve corresponding to each cell group based on the EIS curve. A sub-unit is determined to determine the dispersion baseline corresponding to each of the battery cell groups based on the mean EIS curve.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the cell consistency screening method according to any one of claims 1 to 5.

10. A readable storage medium, characterized in that, The readable storage medium stores computer program instructions, which are read and executed by a processor to perform the cell consistency screening method according to any one of claims 1 to 5.

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