Battery cell outlier detection method, battery manager and battery cell outlier detection system

Abstract

The invention discloses a battery cell outlier detection method, a battery manager and a battery cell outlier detection system. The battery cell outlier detection method comprises the following steps: determining an electric quantity change rate of each single battery cell according to charging data of each single battery cell in a battery pack during a charging period; determining a state feature point of each single cell according to the electric quantity change rate of each single cell; and determining the outlier cells according to the charging data and the state feature points. According to the method, on the premise that the equipment cost is not increased, anomaly detection can be carried out on each single battery cell in the battery pack, and dangers are reduced.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a battery cell outlier detection method, a battery manager, and a battery cell outlier detection system. Background Art

[0002] Lithium iron phosphate batteries are widely used in energy storage. When lithium iron phosphate batteries are used in energy storage, there are multiple single cells connected in series. If any of the cells malfunctions, the entire module will become abnormal, which can easily lead to danger.

[0003] In the related art, other detection equipment may be additionally configured to implement outlier detection of lithium-ion batteries, but doing so will increase costs. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, one object of the present invention is to provide a method for detecting outliers in a battery cell. This method can detect outliers in each single cell in a battery pack without increasing equipment costs, thereby reducing the occurrence of dangers.

[0005] A second objective of the present invention is to provide a battery manager.

[0006] A third object of the present invention is to provide a computer storage medium.

[0007] A fourth object of the present invention is to provide a computer program product.

[0008] A fifth object of the present invention is to provide a battery cell outlier detection system.

[0009] In order to solve the above problems, an embodiment of the first aspect of the present invention proposes a method for detecting outliers in a battery cell, comprising: determining the charge change rate of each single battery cell according to the charging data of each single battery cell in the battery pack during charging; determining the state characteristic point of each single battery cell according to the charge change rate of each single battery cell; and determining the outlier cell according to the charging data and the state characteristic point.

[0010] According to the cell outlier detection method of an embodiment of the present invention, state feature points are introduced to determine outlier cells. That is, the charge change rate of each single cell in the battery pack is determined by the charging data of each single cell in the battery pack during charging, and then the state feature points of each single cell are determined. The charging data and state feature points are used to monitor cell outliers. Without increasing equipment costs, outlier detection can be performed on each single cell in the battery pack to reduce the occurrence of danger.

[0011] In some embodiments, the charging data includes voltage data and current data, and the charge change rate of each single cell in the battery pack is determined based on the charging data of each single cell during charging, including: determining the voltage change value and charge amount of each single cell per unit time based on the voltage data and the current data; determining the charge change rate of each single cell based on the charge amount and the voltage change value.

[0012] In some embodiments, the state characteristic point is a power change trough point determined based on the power change rate of the single battery cell.

[0013] In some embodiments, determining the outlier cell based on the charging data and the state characteristic point includes: determining the charge increment of each single cell from the state characteristic point to the charging cut-off point based on the charging data; and determining the outlier cell in the battery pack based on the charge increment of each single cell.

[0014] In some embodiments, the charging data includes current sampling time, and the charge increment is the accumulated value of the charge amount corresponding to each current sampling time in the time period from the state characteristic point to the charging cut-off point.

[0015] In some embodiments, determining the stray cell in the battery pack based on the charge increment of each single cell includes: determining a reference value based on the charge increment of each single cell; and determining the stray cell in the battery pack based on the reference value and the charge increment of each single cell.

[0016] In some embodiments, the reference value is a median value among all power increments.

[0017] In some embodiments, determining the outlier cell in the battery pack based on the reference value and the charge increment of each single cell includes: determining the charge difference between the charge increment of each single cell and the reference value; and determining the outlier cell in the battery pack based on the charge difference.

[0018] In some embodiments, the method further includes: marking the single battery cells with a warning mark according to the power difference of each single battery cell.

[0019] In some embodiments, the individual battery cells are marked with warnings based on the difference in charge of each battery cell, including: if it is determined that the difference in charge of the individual battery cells is greater than or equal to a first charge threshold, the individual battery cells are marked with a first-level warning; if it is determined that the difference in charge of the individual battery cells is greater than or equal to a second charge threshold, the individual battery cells are marked with a second-level warning; if it is determined that the difference in charge of the individual battery cells is greater than or equal to a third charge threshold, the individual battery cells are marked with a third-level warning; wherein, the first charge threshold < the second charge threshold < the third charge threshold.

[0020] The second aspect of the present invention provides a battery manager, comprising: at least one processor; a memory communicatively connected to at least one of the processors; wherein the memory stores a computer program executable by at least one of the processors, and when at least one of the processors executes the computer program, the cell outlier detection method of the above embodiment is implemented.

[0021] According to the battery manager of the embodiment of the present invention, a cell outlier detection method is implemented by executing a computer program stored in a memory by a processor. This method can monitor the abnormality of each single cell in the battery pack without increasing the equipment cost, thereby reducing the occurrence of danger.

[0022] A third aspect of the present invention provides a computer storage medium having a computer program stored thereon. When the computer program is executed by a processor, the cell outlier detection method of the above embodiment is implemented.

[0023] A fourth aspect of the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the cell outlier detection method of the above embodiment.

[0024] A fifth embodiment of the present invention provides a cell outlier detection system, including a controller for executing the cell outlier detection method of the above embodiment, or including a battery manager of the above embodiment.

[0025] The cell outlier detection system according to the embodiment of the present invention can monitor the abnormality of each single cell in a battery pack without increasing the equipment cost, thereby reducing the occurrence of danger.

[0026] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments with reference to the accompanying drawings, in which: Figure 1 is a schematic diagram of differences in charging curves of battery cells according to an embodiment of the present invention; Figure 2 is a flow chart of a cell outlier detection method according to one embodiment of the present invention; Figure 3 is a schematic diagram of the rate of change of charge of a single battery cell according to an embodiment of the present invention; Figure 4 is a schematic diagram of the rate of change of charge of a single battery cell during cyclic charging according to one embodiment of the present invention; Figure 5 2. It is a schematic diagram of the incremental sorting of the power of single cells according to one embodiment of the present invention; Figure 6 is a flow chart of a cell outlier detection method according to another embodiment of the present invention; Figure 7 FIG. 4 is a structural block diagram of a battery manager according to an embodiment of the present invention.

[0028] Reference numerals: Battery manager 100; Processor 1; Memory 2. DETAILED DESCRIPTION

[0029] The embodiments of the present invention will be described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. The embodiments of the present invention will be described in detail below.

[0030] Lithium iron phosphate batteries are widely used in energy storage. When lithium iron phosphate batteries are used in energy storage, there are multiple single cells connected in series. If any of the cells fails, the entire module will fail, which can easily lead to dangers. Figure 1 As shown, different battery cells have different charging performance during charging. Therefore, it is necessary to monitor abnormal battery cells to avoid danger. In the existing technology, the cost of monitoring abnormal battery cells by configuring additional detection equipment is too high, while the solution without additional detection equipment is difficult to accurately detect outlier batteries.

[0031] In order to solve the above problems, a first embodiment of the present invention proposes a cell outlier detection method, which can perform outlier detection on each single cell in a battery pack without increasing equipment costs, thereby reducing the occurrence of danger.

[0032] Reference below Figure 2 A cell outlier detection method according to an embodiment of the present invention is described. The cell outlier detection method includes steps S1 to S3. The specific steps are as follows.

[0033] Step S1 : determining the charge change rate of each single cell in the battery pack according to the charging data of each single cell during the charging period.

[0034] Specifically, the differences in the physical parameters and charge and discharge performance of each battery cell are small, the battery cell consistency is good, and the differences are large, the consistency is poor. In the prior art, outlier cells are detected based on AC impedance, but the acquisition of AC impedance requires additional configuration of detection equipment, the detection process is cumbersome, and leads to increased costs. The present application uses the charging data of each single battery cell in the battery pack during charging to determine the rate of change of charge of each single battery cell, and quantifies the performance difference of the battery cell during charging through the rate of change of charge. The performance of the outlier cell and the normal battery cell during charging, that is, the rate of change of charge, is different, so that the outlier cell can be determined based on the charging data, reducing the occurrence of danger without increasing the cost of equipment. Among them, the charging data may include data such as voltage, current or charging time, which are not specifically limited here.

[0035] It should be noted that during charging, the battery pack is charged at a constant current.

[0036] Step S2: determining a state characteristic point of each battery cell according to the rate of change of the charge of each battery cell.

[0037] Specifically, the state characteristic points can reflect the changes in the mechanism inside the single battery cell. The differences between the state characteristic points are related to the changes in the battery cell performance. The decline in the performance of the single battery cell will cause the state characteristic points to change accordingly. Therefore, the more the performance of the single battery cell in the battery pack declines, that is, the greater the difference between the abnormal battery cell and the normal battery cell, the greater the difference between the corresponding state characteristic points. Therefore, using the state characteristic points for outlier cell detection can improve the accuracy of identifying outlier cells.

[0038] Step S3: determining outlier cells based on the charging data and state feature points.

[0039] Specifically, determining outlier cells based on charging data and status feature points can improve the accuracy of identifying outlier cells. Without increasing equipment costs, outlier detection can be performed on each single cell in the battery pack to reduce the occurrence of danger. According to the cell outlier detection method of an embodiment of the present invention, state feature points are introduced to determine outlier cells. That is, the charge change rate of each single cell in the battery pack is determined by the charging data of each single cell in the battery pack during charging, and then the state feature points of each single cell are determined. The charging data and state feature points are used to monitor cell outliers. Without increasing equipment costs, outlier detection can be performed on each single cell in the battery pack to reduce the occurrence of danger.

[0040] In some embodiments, the charging data includes voltage data and current data, and the charge change rate of each single cell in the battery pack is determined based on the charging data of each single cell during charging, including determining the voltage change value and charge amount of each single cell per unit time based on the voltage data and current data; and determining the charge change rate of each single cell based on the charge amount and voltage change value.

[0041] Specifically, the voltage change value per unit time can be calculated through voltage data, and the charge amount per unit time can be calculated through current data. The charge change rate can be determined by referring to Formula 1. The charge change rate of each single battery cell is determined through the above steps. Among them, the battery management system (BMS) can directly obtain the voltage data and current data of each single battery cell without adding additional equipment, avoiding cost increases.

[0042] Rate of change of power = Formula 1 Among them, dv is the voltage change per unit time; dq is the charge amount per unit time.

[0043] For example, during charging, the charging capacity per unit time is 2 Ah, and the voltage change value per unit time is 0.003 V, then the capacity change rate is 666.67 Ah / V.

[0044] In some embodiments, the state characteristic point is a power change trough point determined based on the power change rate of the single battery cell.

[0045] Specifically, a curve is drawn with time as the horizontal axis and the rate of change of power and voltage data as the vertical axis, such as Figure 3 and Figure 4 As shown, curve a shows the voltage data changing over time, and curve b shows the voltage and charge rate of change changing over time. As the voltage and charge rate of change increases over time, its trend is to first rise, then fall, and then rise again, forming a trough. The trough point is the turning point where curve a turns from falling to rising, and the charge rate of change corresponding to this point is the trough value. When the battery cell is at the trough point, the voltage is generally 3.2V-3.5V.

[0046] In some embodiments, outlier cells are determined based on charging data and state characteristic points, including determining the charge increment of each single cell from the state characteristic point to the charging cutoff point based on the charging data; and determining the outlier cells in the battery pack based on the charge increment of each single cell.

[0047] Specifically, when each single cell in the battery pack is very consistent, the deviation of the power increment between each single cell is small. However, when the consistency of each single cell in the battery pack is poor, the deviation between the power increments of the outlier cell and the normal cell is large. Therefore, the outlier cell in the battery pack can be determined by the deviation between the power increments.

[0048] In some embodiments, the charging data includes current sampling time, and the charge increment is the accumulated value of the charge amount corresponding to each current sampling time in the time period from the state characteristic point to the charging cut-off point.

[0049] Specifically, the amount of charge charged into a single cell during the period from the valley point (i.e., the characteristic point) to the charge cutoff point can be calculated by multiplying and summing the sampled current and the current sampling time, i.e., the charge increment. The voltage of the single cell at the charge cutoff point reaches the charge cutoff voltage, which can be set based on actual conditions, for example, 3.6V.

[0050] In some embodiments, determining the stray cell in the battery pack according to the charge increment of each single cell includes determining a reference value according to the charge increment of each single cell; and determining the stray cell in the battery pack according to the reference value and the charge increment of each single cell.

[0051] Specifically, a baseline value is calculated by calculating the incremental charge of all individual cells. The incremental charge of each individual cell is then compared to the baseline value. Cells corresponding to increments that differ significantly from the baseline value are considered abnormal, i.e., outliers. Each cell in the battery pack can be labeled, each with a corresponding number, allowing for quick location of outliers. The baseline value can be selected based on actual circumstances, such as the average or median, and is not specifically limited here.

[0052] In some embodiments, the baseline value is the median value of all charge increments.

[0053] Specifically, when analyzing the data of power increments, the median value can better represent the performance of most single cells, will not be affected by a few extreme values, and can better reveal the degree of outliers in the data. Therefore, it is a better choice to select the median value of all power increments as the benchmark value when determining the divorced cells in the battery pack. For example, Figure 5 As shown, the data of power increment is presented in the form of a chart, with the horizontal axis being the cell number and the vertical axis being the power increment. The power increments are sorted from small to large and then assigned to the corresponding cell numbers. Among them, cells 1-3 have a large deviation from the median and are outliers.

[0054] In some embodiments, determining the outlier cell in the battery pack based on the reference value and the charge increment of each single cell includes determining the charge difference between the charge increment of each single cell and the reference value; and determining the outlier cell in the battery pack based on the charge difference.

[0055] Specifically, in order to quantify the degree of deviation between the incremental charge of each outlier cell and the baseline value, the incremental charge of each single cell can be subtracted from the baseline value to generate a charge difference, and the charge difference is used as an indicator reflecting the outlier degree of the single cell. If the charge difference is 0, the outlier degree of the cell is 0, and the cell is determined to be a normal cell; if the charge difference is too high, the outlier degree of the cell is considered to be high, and the cell is an outlier cell; if the charge difference is low, the outlier degree of the cell is considered to be low, and the cell is a normal cell.

[0056] In some embodiments, the method further includes performing a warning mark on the single battery cell according to the power difference of each single battery cell.

[0057] Specifically, the power difference can quantify the degree of deviation of each single cell in the battery pack. The risk level of the cell can be evaluated based on the size of the power difference, and early warning marks can be made based on different evaluation results. The early warning marks can be used as a reference for users and personnel who need to perform quantitative analysis of the battery, so that timely intervention can be made on cells with high risk levels to avoid losses to users.

[0058] In some embodiments, individual battery cells are marked with warnings based on the difference in charge of each battery cell, including: if the difference in charge of the individual battery cells is determined to be greater than or equal to a first charge threshold, the individual battery cells are marked with a first-level warning; if the difference in charge of the individual battery cells is determined to be greater than or equal to a second charge threshold, the individual battery cells are marked with a second-level warning; if the difference in charge of the individual battery cells is determined to be greater than or equal to a third charge threshold, the individual battery cells are marked with a third-level warning; wherein, the first charge threshold < the second charge threshold < the third charge threshold.

[0059] Specifically, by setting the first power threshold, the second power threshold and the third power threshold to distinguish different levels of warning marks, the deviation degree of the single cell is displayed. If the power difference of the single cell is greater than or equal to the first power threshold, the deviation degree of the cell is low, and only the level of attention needs to be increased, and a first-level warning mark is performed; if it is determined that the power difference of the single cell is greater than or equal to the second power threshold, the deviation degree of the cell is large, and timely intervention should be carried out, and a second-level warning mark is performed; if it is determined that the power difference of the single cell is greater than or equal to the third power threshold, the cell is dangerous, and if it is not handled in time, it will cause losses to the user, and a third-level warning mark is performed. Among them, the first power threshold, the second power threshold and the third power threshold can be set according to actual conditions. For example, the first power threshold, the second power threshold and the third power threshold are set to the reference value × a, and a can be set to 1.1, 1.2 or 1.3, etc., and there is no specific restriction here.

[0060] Reference below Figure 6 The figure shows a method for detecting outliers in a battery cell according to an embodiment of the present invention, and the specific steps are as follows.

[0061] Step S4: Charge the battery pack to full charge with constant current, and obtain charging data of each single cell during the charging of the battery pack. When fully charged, each single cell reaches the charging cut-off voltage.

[0062] Step S5: determining the amount of charge of each battery cell from the state characteristic point to the charging cut-off point.

[0063] Step S6: sort the increment of power of each single cell from small to large.

[0064] Step S7: using the median value as a reference value, and marking the individual cells as warning cells according to the power difference of each cell.

[0065] Step S8: determining the outlier cells in the battery pack.

[0066] The second embodiment of the present invention provides a battery manager 100, such as Figure 7 As shown, the battery manager 100 includes at least one processor 1 and a memory 2 communicatively connected to the at least one processor.

[0067] The memory 2 stores a computer program that can be executed by at least one processor 1 , and the at least one processor 1 implements the cell outlier detection method of the above embodiment when executing the computer program.

[0068] According to the battery manager 100 of the embodiment of the present invention, the processor 1 executes the computer program stored in the memory 2 to implement the cell outlier detection method. This can monitor the abnormality of each single cell in the battery pack without increasing the equipment cost, thereby reducing the occurrence of danger.

[0069] A third aspect of the present invention provides a computer storage medium having a computer program stored thereon. When the computer program is executed by a processor, the cell outlier detection method of the above embodiment is implemented.

[0070] A fourth aspect of the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the cell outlier detection method of the above embodiment.

[0071] A fifth embodiment of the present invention provides a cell outlier detection system, including a controller for executing the cell outlier detection method of the above embodiment, or including a battery manager of the above embodiment.

[0072] The cell outlier detection system according to the embodiment of the present invention can monitor the abnormality of each single cell in a battery pack without increasing the equipment cost, thereby reducing the occurrence of danger.

[0073] In the description of this specification, any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0074] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" is any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (not exhaustive) of computer-readable media include: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing it in a suitable manner if necessary, and then storing it in a computer memory.

[0075] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the aforementioned embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any of the following technologies known in the art, or a combination thereof, may be used: a discrete logic circuit having logic gates for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gates, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0076] Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above-mentioned embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0077] Furthermore, the functional units in the various embodiments of the present invention may be integrated into a single processing module, each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0078] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and are not to be construed as limiting the present invention. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

[0079] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "example," "specific example," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0080] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A method for detecting outliers in a battery cell, characterized in that: include: Determine the rate of change of charge of each single cell in the battery pack according to the charging data of each single cell during charging; Determine the state characteristic point of each single cell according to the rate of change of the power of each single cell; An outlier cell is determined according to the charging data and the state characteristic points.

2. The cell outlier detection method according to claim 1, wherein: The charging data includes voltage data and current data. The charge change rate of each single cell in the battery pack is determined based on the charging data of each single cell during charging, including: Determine the voltage change value and charge capacity of each single battery cell per unit time according to the voltage data and the current data; The charge change rate of each battery cell is determined according to the charge amount and the voltage change value.

3. The cell outlier detection method according to claim 1, wherein: The state characteristic point is a power change trough point determined based on the power change rate of the single battery cell.

4. The method for detecting outliers in a battery cell according to any one of claims 1 to 3, wherein: Determining an outlier cell according to the charging data and the state characteristic point includes: Determine the amount of charge of each single cell from the state characteristic point to the charging cut-off point according to the charging data; The outlier cells in the battery pack are determined according to the power increment of each single cell.

5. The cell outlier detection method according to claim 4, wherein: The charging data includes current sampling time, and the power increment is the accumulated value of the charging amount corresponding to each current sampling time in the time period from the state characteristic point to the charging cut-off point.

6. The cell outlier detection method according to claim 4, wherein: Determining an outlier cell in the battery pack according to the power increment of each single cell includes: Determine the baseline value based on the power increment of each single cell; The outlier cells in the battery pack are determined according to the reference value and the power increment of each single cell.

7. The cell outlier detection method according to claim 6, wherein: The reference value is the median value of all power increments.

8. The cell outlier detection method according to claim 6 or 7, wherein: Determining an outlier cell in the battery pack according to the reference value and the power increment of each single cell includes: Determine the difference between the incremental charge of each battery cell and the reference charge value; The outlier battery cell in the battery pack is determined according to the power difference.

9. The battery cell outlier detection method according to claim 8, characterized in that: The method further comprises: A warning mark is applied to each battery cell according to the difference in the amount of electricity in the battery cell.

10. The battery cell outlier detection method according to claim 9, characterized in that: Performing a warning mark on each battery cell according to the difference in power of each battery cell includes: If it is determined that the power difference of the single battery cell is greater than or equal to a first power threshold, a first-level warning mark is applied to the single battery cell; If it is determined that the power difference of the single battery cell is greater than or equal to a second power threshold, a second-level warning mark is applied to the single battery cell; If it is determined that the power difference of the single battery cell is greater than or equal to a third power threshold, the single battery cell is marked as a third-level warning; The first power threshold is less than the second power threshold and less than the third power threshold.

11. A battery manager, characterized in that: include: at least one processor; a memory communicatively coupled to at least one of the processors; The memory stores a computer program that can be executed by at least one of the processors, and when at least one of the processors executes the computer program, the cell outlier detection method according to any one of claims 1 to 10 is implemented.

12. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the battery cell outlier detection method according to any one of claims 1 to 10 is implemented.

13. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the battery cell outlier detection method according to any one of claims 1 to 10 are implemented.

14. A battery cell outlier detection system, characterized in that: It comprises a controller for executing the cell outlier detection method according to any one of claims 1 to 10, or comprises the battery manager according to claim 11.

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