Abnormity identification method for vehicle battery pack and vehicle service platform

Abstract

The invention provides a vehicle battery pack abnormity identification method and a vehicle service platform, and the method comprises the steps: obtaining the charging data of each battery cell in a battery pack under a charging condition, and the charging data comprises the battery cell voltage value and the charge state value of each battery cell; distributing the battery cell voltage value of each battery cell to a corresponding charge state interval according to the charge state; for each charge state interval, calculating a consistency coefficient of the charge state interval according to the voltage values of all the battery cells in the charge state interval; and for each state-of-charge interval, according to a comparison result of the consistency coefficient of the state-of-charge interval and a preset consistency threshold value corresponding to the state-of-charge interval, identifying that the consistency of the battery cells of the battery pack is abnormal. According to the invention, the method achieves the precise recognition of the consistency abnormality of the cells in the battery pack, and reduces the risk probability of the battery pack.

Description

Technical Field

[0001] The present application relates to the field of vehicle battery technology, and more specifically, to a method for identifying abnormalities in a vehicle battery pack and a vehicle service platform. Background Art

[0002] Battery cells play a key role in storing electrical energy in battery packs, but their performance will be affected by many factors. Due to slight differences in production processes, different driving behaviors, and the constantly changing state of batteries during use, the performance differences between battery cells will gradually accumulate. Over time, this difference will become more and more significant, resulting in increased imbalance within the battery pack. This imbalance will not only reduce the overall performance of the battery, but also accelerate the aging process of the battery, seriously endangering the health of the battery. Summary of the invention

[0003] In view of this, the purpose of the present application is to provide a vehicle battery pack abnormality identification method and a vehicle service platform, aiming to achieve accurate identification of battery cell consistency anomalies in the battery pack.

[0004] In a first aspect, the present application provides a method for identifying abnormalities in a vehicle battery pack, comprising: obtaining charging data of each battery cell in the battery pack under charging conditions, the charging data including a battery cell voltage value and a state of charge value of each battery cell; allocating the battery cell voltage value of each battery cell to a corresponding state of charge interval according to the state of charge; for each state of charge interval, calculating a consistency coefficient of the state of charge interval based on all battery cell voltage values ​​within the state of charge interval; for each state of charge interval, identifying the battery cell consistency abnormality of the battery pack based on a comparison result of the consistency coefficient of the state of charge interval with a preset consistency threshold corresponding to the state of charge interval.

[0005] In a possible implementation, the consistency coefficient of each state of charge interval is calculated in the following manner: for each battery cell falling within the state of charge interval, the cell cosine similarity of the battery cell is determined according to the cell voltage value of the battery cell; and the consistency coefficient corresponding to the state of charge interval is obtained according to the maximum cell cosine similarity and the minimum cell cosine similarity.

[0006] In a possible implementation, the single-cell cosine similarity corresponding to each battery cell is calculated in the following manner: for each battery cell, the similarity between the battery cell and all other battery cells is calculated; the proportion value corresponding to the battery cell is obtained according to the similarity and the number of battery cells in the charge interval, so as to obtain the single-cell cosine similarity corresponding to the battery cell according to the proportion value corresponding to each battery cell.

[0007] In a possible implementation, each state of charge interval includes multiple frames of data, each frame of data includes multiple battery cell voltage values, wherein the similarity between each battery cell and all other battery cells is calculated in the following manner: for each frame of data in the state of charge interval, each battery cell voltage value in the frame data is recorded as a battery cell voltage vector corresponding to the battery cell; and the cosine similarity formula is used to calculate the directional similarity between each battery cell voltage vector and all other battery cell voltage vectors to obtain the similarity between the battery cell and all other battery cells.

[0008] In a possible implementation, the preset consistency threshold corresponding to each state of charge interval is calculated in the following manner: the historical cell voltage value and the historical state of charge of each cell in the battery pack under a preset time length and under charging conditions are obtained, so as to allocate the historical cell voltage value to the corresponding state of charge interval according to the historical state of charge; for each state of charge interval, the cell cosine similarity between each cell in the state of charge interval and all other cells is calculated, and all the cell similarities in the state of charge interval are sorted, so as to obtain the preset consistency threshold corresponding to the state of charge interval according to the first coefficient located in the upper quartile and the second coefficient located in the lower quartile of all the sorted cell similarities.

[0009] In a possible implementation, the battery cell consistency abnormality of the battery pack is identified in the following manner: for each state of charge interval, determine whether the consistency coefficient of the state of charge interval is higher than the preset consistency threshold corresponding to the state of charge interval; if the consistency coefficient of the state of charge interval is not higher than the preset consistency threshold corresponding to the state of charge interval, reset the count of the counter corresponding to the state of charge interval to zero, and determine that the battery pack does not have a battery cell consistency abnormality; if the consistency coefficient of the state of charge interval is higher than the preset consistency threshold corresponding to the state of charge interval, increase the count of the counter corresponding to the state of charge interval by one, and identify whether the current count of the counter exceeds the current warning count corresponding to the battery pack; if the current count of the counter does not exceed the current warning count corresponding to the battery pack, determine that the battery pack does not have a battery cell consistency abnormality; if the current count of the counter exceeds the current warning count corresponding to the battery pack, determine that the battery pack has a battery cell consistency abnormality.

[0010] In a possible implementation, the warning count currently corresponding to the battery pack is determined in the following manner: the level currently corresponding to the battery pack is determined according to the accumulated charge count of the battery pack, so as to determine the warning count currently corresponding to the battery pack.

[0011] In the second aspect, the present application provides a vehicle service platform, including: an acquisition module, used to obtain charging data of each battery cell in a battery pack under charging conditions, the charging data including a battery cell voltage value and a state of charge value of each battery cell; an allocation module, used to allocate the battery cell voltage value of each battery cell to a corresponding state of charge interval according to the state of charge; a calculation module, used to calculate, for each state of charge interval, a consistency coefficient of the state of charge interval based on all battery cell voltage values ​​within the state of charge interval; an identification module, used to identify, for each state of charge interval, battery cell consistency abnormalities of the battery pack based on a comparison result of the consistency coefficient of the state of charge interval with a preset consistency threshold corresponding to the state of charge interval.

[0012] In a third aspect, the present application also provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the above method are performed.

[0013] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and the computer program executes the steps of the above method when executed by a processor.

[0014] The present application provides a method for identifying abnormalities in a vehicle battery pack and a vehicle service platform, wherein the method includes: obtaining charging data of each battery cell in the battery pack under charging conditions, wherein the charging data includes the battery cell voltage value and the state of charge value of each battery cell; allocating the battery cell voltage value of each battery cell to the corresponding state of charge interval according to the state of charge; for each state of charge interval, calculating the consistency coefficient of the state of charge interval based on all battery cell voltage values ​​in the state of charge interval; for each state of charge interval, identifying the battery cell consistency abnormality of the battery pack based on the comparison result of the consistency coefficient of the state of charge interval and the preset consistency threshold value corresponding to the state of charge interval. Through the present application, accurate identification of battery cell consistency abnormalities in battery packs is achieved.

[0015] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of a method for identifying an abnormality of a vehicle battery pack provided in an embodiment of the present application;

[0018] Figure 2 A flowchart of calculating a preset consistency threshold corresponding to each state of charge interval provided in an embodiment of the present application;

[0019] Figure 3 A flowchart for identifying abnormal cell consistency of a battery pack provided in an embodiment of the present application;

[0020] Figure 4 A schematic diagram of the structure of the vehicle service platform provided in the embodiment of the present application;

[0021] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application usually described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work belongs to the scope of protection of the present application.

[0023] First, the application scenarios to which the present application is applicable are introduced. The present application can be applied in the field of vehicle battery technology.

[0024] Research has found that as the core component of electric vehicles or energy storage systems, the performance and stability of battery cells are directly related to the life and safety of the entire battery pack. There will inevitably be certain initial differences between battery cells. These differences may be caused by the heterogeneity of raw materials, slight changes in coating thickness, subtle differences in electrolyte ratios, or accuracy issues in electrode cutting and winding.

[0025] As the usage time increases, these tiny initial differences will gradually amplify under the combined effect of multiple factors. During the charging and discharging process, some battery cells may be overcharged or discharged, causing damage to the internal structure, while other battery cells may not fully utilize their capacity, resulting in a decrease in the overall battery pack efficiency. In the long run, this unbalanced charging and discharging mode will cause the performance differences between battery cells to increase significantly, resulting in a "short board effect", that is, the performance of the entire battery pack is limited by the worst performing cell. The accumulation of differences between battery cells will not only reduce the energy density and endurance of the battery pack, but may also cause safety problems, such as local overheating, thermal runaway and even battery explosion.

[0026] Based on this, an embodiment of the present application provides a method for identifying abnormalities in a vehicle battery pack and a vehicle service platform. By calculating the corresponding consistency threshold for each state of charge interval and using the consistency threshold as a detection standard for battery pack cell consistency, accurate identification of battery cell consistency abnormalities in the battery pack is achieved, reducing the probability of risks in the battery pack.

[0027] See also Figure 1 , Figure 1 This is a flow chart of a method for identifying abnormality of a vehicle battery pack provided in an embodiment of the present application. Figure 1 As shown in , the abnormality identification method of the vehicle battery pack provided by the embodiment of the present application includes:

[0028] S101. Obtain charging data of each battery cell in a battery pack under charging conditions.

[0029] Here, when each vehicle adds a charging condition, the charging data is processed and divided according to the state of charge interval. The data of each interval must be complete, that is, from the lower limit to the upper limit of the interval, and the charging data includes the cell voltage value and state of charge value of each battery cell.

[0030] S102 , allocating the cell voltage value of each cell to a corresponding state of charge interval according to the state of charge.

[0031] In the embodiment of the present application, the state of charge value range is between [20,80], and the battery pack charge and discharge fragment data are extracted in the same state of charge interval under different charging conditions, for a total of 6 state of charge intervals, namely: soc_g1: [20,30), soc_g2: [30,40), soc_g3: [40,50), soc_g4: [50,60), soc_g5: [60,70), soc_g6: [70,80].

[0032] S103 . For each state of charge interval, calculate a consistency coefficient of the state of charge interval according to all cell voltage values ​​in the state of charge interval.

[0033] Here, it is assumed that in a state of charge interval of a charging condition, there are M frames of data, each frame of data contains N battery cell voltage values, and each battery cell voltage value is recorded as Vmn, where m represents the frame number (from 1 to M), and n represents the battery cell number (from 1 to N). For each frame of data, the average value of the N battery cell voltages is calculated, recorded as Vmnavg, and based on the difference between the battery cell voltage value of each frame of data and its average value, that is, Vmn-Vmnavg, a voltage deviation value can be constructed for each battery cell in each frame. In this way, in each state of charge interval, M arrays of length N can be obtained, each array represents the voltage deviation value of all batteries in a frame of data. Next, the battery cell voltage value of each battery cell in each frame is taken and recorded as the battery cell voltage vector corresponding to the battery cell, and this battery cell voltage vector is recorded as Vij, where i is the battery cell number (from 1 to N), and j is the number of frames of data (from 1 to M). Finally, according to the cell voltage vector corresponding to each cell voltage value, the monomer cosine similarity is used to calculate the directional similarity between each cell voltage vector and all other cell voltage vectors.

[0034] Afterwards, according to the sum of the directional similarities between each cell voltage vector and all other cell voltage vectors, and divided by the number of cells in the state of charge interval, the proportion value corresponding to the cell is obtained, and this proportion value is subtracted from 1 to obtain the similarity between each cell and all other cells, that is, the monomer cosine similarity corresponding to the cell.

[0035] Specifically, the similarity between the ith battery cell and other battery cells in each charging interval is calculated using the following formula.

[0036]

[0037] Here, NC i is the monomer cosine similarity corresponding to the ith battery cell, i is the ith battery cell, S index is the relationship between the ith cell and the index The similarity between the cells, is the sum of the similarities between the ith battery cell and all other battery cells, and n is the number of battery cells in the charging interval.

[0038] Finally, for each charge interval, the maximum single cell cosine similarity and the minimum single cell cosine similarity corresponding to all cells falling into the charge interval are subtracted to obtain the consistency coefficient corresponding to the charge state interval.

[0039] S104 . For each state of charge interval, identify cell consistency abnormality of the battery pack according to a comparison result of the consistency coefficient of the state of charge interval and a preset consistency threshold value corresponding to the state of charge interval.

[0040] Here, for each state of charge interval, there is a pre-calculated preset consistency threshold.

[0041] Below through Figure 2 The specific process of calculating the preset consistency threshold corresponding to each state of charge interval is introduced.

[0042] Figure 2 A flowchart for calculating a preset consistency threshold corresponding to each state of charge interval provided in an embodiment of the present application.

[0043] S201, obtaining historical cell voltage values ​​and historical state of charge of each cell in a battery pack under a preset time and charging conditions, so as to allocate the historical cell voltage values ​​to corresponding state of charge intervals according to the historical state of charge.

[0044] In the embodiment of the present application, the preset duration is set to one month. The calculation of the preset consistency threshold is performed on a monthly basis, specifically: on the 1st of each month, the system will obtain all charging data of the battery pack of the same project in the previous month. These charging data include the historical cell voltage values ​​and historical state of charge values ​​under charging conditions, which are used to calculate the preset consistency threshold of the current month.

[0045] Among them, for the charging data of each charging condition, the historical cell voltage value of the charging data is allocated to the corresponding state of charge interval according to the historical state of charge. The charging data of each state of charge interval must maintain integrity, that is, it must cover the lower limit to the upper limit of the interval. If the charging data in a state of charge interval fails to meet this integrity requirement, that is, it fails to cover the entire range of the state of charge interval, the charging data in the state of charge interval that does not meet the requirements will be discarded, but the charging data in other state of charge intervals that meet the requirements will be retained and used to calculate the preset consistency threshold for the month.

[0046] S202. For each state of charge interval, calculate the historical single-cell cosine similarity between each battery cell in the state of charge interval and other battery cells, and sort all single-cell similarities in the state of charge interval to obtain a preset consistency threshold corresponding to the state of charge interval based on a first coefficient located in the upper quartile and a second coefficient located in the lower quartile of all sorted single-cell similarities.

[0047] Here, the process of calculating the cell cosine similarity between each battery cell and other battery cells is the same as the above steps and will not be repeated here. After obtaining the cosine similarities of all cells in the charge interval, all the monomer similarities are sorted to obtain the first coefficient Q1 located in the upper quartile and the second coefficient Q2 located in the lower quartile of all the monomer similarities. The first coefficient Q1 is added with three times the difference between the first coefficient Q1 and the second coefficient Q2, and the final result is used as the preset consistency threshold of the charge interval, and the preset consistency threshold of the charge interval is compared with the consistency coefficient of the charge interval to identify the abnormality of the battery cell consistency of the battery pack.

[0048] Below through Figure 3 This section describes the specific steps for identifying abnormal cell consistency in a battery pack.

[0049] Figure 3 A flowchart for identifying abnormal cell consistency of a battery pack provided in an embodiment of the present application.

[0050] S301 : For each state of charge interval, determine whether a consistency coefficient of the state of charge interval is higher than a preset consistency threshold corresponding to the state of charge interval.

[0051] If the consistency coefficient of the state of charge interval is not higher than the preset consistency threshold corresponding to the state of charge interval, S302 is executed to reset the count of the counter corresponding to the state of charge interval to zero, and determine that there is no cell consistency abnormality in the battery pack.

[0052] If the consistency coefficient of the state of charge interval is higher than the preset consistency threshold corresponding to the state of charge interval, execute S303, increase the count of the counter corresponding to the state of charge interval by one, and identify whether the current count of the counter exceeds the warning count currently corresponding to the battery pack.

[0053] If the current count of the counter does not exceed the warning count currently corresponding to the battery pack, S304 is executed to determine whether there is any cell consistency abnormality in the battery pack.

[0054] In a preferred example of the present application, the warning count currently corresponding to the battery pack is determined in the following manner: based on the cumulative charging number of the battery pack, the level currently corresponding to the battery pack is determined to determine the warning count currently corresponding to the battery pack.

[0055] Here, the cumulative charging number Ah of the vehicle battery pack is layered into rank_p, with each 2000Ah as a level. When a certain charge of the vehicle belongs to a different level, a different warning count cnt is set (for example, the initial level is 0-2000Ah: warning count cnt=3). Among them, as the cumulative charging of the battery pack increases, the warning count cnt will also increase.

[0056] If the current count of the counter exceeds the warning count currently corresponding to the battery pack, S305 is executed to determine whether the battery pack has a cell consistency abnormality.

[0057] Here, if the current count of the counter corresponding to any state of charge interval among all the state of charge intervals exceeds the warning count of the battery pack, a warning is issued to the battery pack.

[0058] The embodiment of the present application also provides a vehicle service platform corresponding to the method for identifying abnormalities in a vehicle battery pack. Since the principle of solving the problem by the platform in the embodiment of the present application is similar to the method for identifying abnormalities in a vehicle battery pack in the embodiment of the present application, the implementation of the platform can refer to the implementation of the method, and the repeated parts will not be repeated.

[0059] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of the vehicle service platform provided in the embodiment of the present application. Figure 4 As shown in FIG. 4 , the vehicle service platform 400 includes:

[0060] The acquisition module is used to acquire the charging data of each battery cell in the battery pack under the charging condition, and the charging data includes the battery cell voltage value and the charge state value of each battery cell.

[0061] The allocation module is used to allocate the cell voltage value of each cell to the corresponding state of charge interval according to the state of charge.

[0062] The calculation module is used to calculate the consistency coefficient of each state of charge interval according to all the cell voltage values ​​in the state of charge interval.

[0063] The identification module is used to identify the abnormality of the consistency of the battery cells of the battery pack according to the comparison result of the consistency coefficient of the state of charge interval and the preset consistency threshold value corresponding to the state of charge interval for each state of charge interval.

[0064] See also Figure 5 , Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 5 As shown in , the electronic device 500 includes a processor 510 , a memory 520 and a bus 530 .

[0065] The memory 520 stores machine-readable instructions executable by the processor 510. When the electronic device 500 is running, the processor 510 communicates with the memory 520 via the bus 530. When the machine-readable instructions are executed by the processor 510, the above-mentioned Figure 1 to Figure 3The specific implementation of the steps of the vehicle battery pack abnormality identification method in the method embodiment shown can be found in the method embodiment, which will not be repeated here.

[0066] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figure 1 to Figure 3 The specific implementation of the steps of the method for identifying abnormalities in a vehicle battery pack in the method embodiment shown can be found in the method embodiment and will not be described in detail here.

[0067] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0068] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0069] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0070] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0071] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0072] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for identifying abnormality of a vehicle battery pack, characterized in that: include: Acquire charging data of each battery cell in the battery pack under charging conditions, wherein the charging data includes a battery cell voltage value and a state of charge value of each battery cell; Allocating the cell voltage value of each cell to a corresponding state of charge interval according to the state of charge; For each state of charge interval, the consistency coefficient of the state of charge interval is calculated according to the voltage values ​​of all cells in the state of charge interval; For each state of charge interval, the battery cell consistency abnormality of the battery pack is identified according to a comparison result of the consistency coefficient of the state of charge interval and a preset consistency threshold value corresponding to the state of charge interval.

2. The method according to claim 1, characterized in that The consistency coefficient for each SOC interval is calculated as follows: For each battery cell falling within the state of charge interval, determine the single cell cosine similarity of the battery cell according to the battery cell voltage value of the battery cell; According to the maximum monomer cosine similarity and the minimum monomer cosine similarity, the consistency coefficient corresponding to the state of charge interval is obtained.

3. The method according to claim 2, characterized in that The cosine similarity of each cell is calculated in the following way: For each battery cell, calculate the similarity between the battery cell and all other battery cells; The proportion value corresponding to the battery cell is obtained according to the similarity and the number of battery cells in the charging interval, so as to obtain the monomer cosine similarity corresponding to the battery cell according to the proportion value corresponding to the battery cell.

4. The method according to claim 3, characterized in that Each state of charge interval includes multiple frames of data, and each frame of data includes multiple cell voltage values. The similarity between each battery cell and all other battery cells is calculated in the following way: For each frame of data within the state of charge interval, recording each cell voltage value in the frame of data as a cell voltage vector corresponding to the cell; The cosine similarity formula is used to calculate the directional similarity between each cell voltage vector and all other cell voltage vectors to obtain the similarity between the cell and all other cells.

5. The method according to claim 1, characterized in that The preset consistency threshold corresponding to each state of charge interval is calculated in the following way: Obtaining a historical cell voltage value and a historical state of charge of each cell in the battery pack under a preset time and charging condition, so as to allocate the historical cell voltage value to a corresponding state of charge interval according to the historical state of charge; For each state of charge interval, the cell cosine similarity between each battery cell in the state of charge interval and all other battery cells is calculated, and all the cell similarities in the state of charge interval are sorted to obtain the preset consistency threshold corresponding to the state of charge interval based on the first coefficient located in the upper quartile and the second coefficient located in the lower quartile of all the sorted cell similarities.

6. The method according to claim 1, characterized in that Identify the abnormality of cell consistency of the battery pack in the following ways: For each state of charge interval, determining whether the consistency coefficient of the state of charge interval is higher than a preset consistency threshold corresponding to the state of charge interval; If the consistency coefficient of the state of charge interval is not higher than the preset consistency threshold corresponding to the state of charge interval, the count of the counter corresponding to the state of charge interval is reset to zero, and it is determined that there is no cell consistency abnormality in the battery pack; If the consistency coefficient of the state of charge interval is higher than the preset consistency threshold corresponding to the state of charge interval, the count of the counter corresponding to the state of charge interval is increased by one, and it is identified whether the current count of the counter exceeds the warning count currently corresponding to the battery pack; If the current count of the counter does not exceed the warning count currently corresponding to the battery pack, it is determined that there is no cell consistency abnormality in the battery pack; If the current count of the counter exceeds the warning count currently corresponding to the battery pack, it is determined that the battery pack has a cell consistency abnormality.

7. The method according to claim 6, characterized in that The current warning count corresponding to the battery pack is determined in the following manner: According to the accumulated charging number of the battery pack, the level to which the battery pack currently corresponds is determined, so as to determine the warning count to which the battery pack currently corresponds.

8. A vehicle service platform, characterized in that: include: An acquisition module is used to acquire charging data of each battery cell in the battery pack under charging conditions, wherein the charging data includes a battery cell voltage value and a state of charge value of each battery cell; An allocation module, used for allocating the cell voltage value of each cell to a corresponding state of charge interval according to the state of charge; A calculation module, for calculating, for each state of charge interval, a consistency coefficient of the state of charge interval according to all cell voltage values ​​within the state of charge interval; The identification module is used to identify the abnormality of the cell consistency of the battery pack according to the comparison result of the consistency coefficient of the state of charge interval and the preset consistency threshold value corresponding to the state of charge interval for each state of charge interval.

9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and the processor executes the machine-readable instructions to perform the steps of any method as claimed in claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are executed.

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