Battery module voltage monitoring methods, systems, storage media and terminals

Abstract

This invention provides a method, system, storage medium, and terminal for monitoring voltage within a battery module. The method includes: acquiring voltage data of each cell in the battery module; calculating a standard voltage score for each cell based on the voltage data; calculating the mean and standard deviation of the standard voltage scores; constructing a scatter plot based on the mean and standard deviation; obtaining extreme points in the scatter plot; constructing a circumscribed polygon with the extreme points as vertices and obtaining the interior angle values ​​of the circumscribed polygon; and determining whether there is a voltage consistency problem within the battery module based on the interior angle values. This invention, by converting voltage data into a scatter plot and analyzing the extreme points of the scatter plot, effectively improves the safety of battery module operation by determining voltage consistency within the battery module.

Description

Technical Field

[0001] This invention relates to the technical field of voltage consistency, and in particular to a method, system, storage medium, and terminal for monitoring voltage within a battery module. Background Technology

[0002] In the rapid development of energy storage technology, energy storage safety has always been a hot topic in the industry. Ensuring the safety of energy storage batteries used in energy storage power stations is particularly important. To guarantee battery safety, intelligent monitoring of the internal operating conditions of batteries during daily operation, and categorizing the level of data corruption, is crucial. During routine inspections, batteries with more corrupted data should be subject to enhanced monitoring and maintenance, along with corresponding operational measures, to closely monitor their operating status and thus avoid potential risks such as combustion and explosion.

[0003] Whether it's energy storage batteries or batteries used in new energy vehicles, inconsistency is a major factor affecting battery safety. Ideally, all cells within a battery module should perform consistently. However, due to differences in production environments and processes, cells within the same battery module can vary to varying degrees. This inconsistency worsens with use. Once inconsistency occurs in a battery module, it can lead to problems such as reduced capacity. In severe cases, it can jeopardize battery safety, causing risks such as short circuits, fires, and explosions.

[0004] However, existing battery management systems (BMS) cannot distinguish the consistency of batteries and can only perform simple overvoltage and undervoltage diagnosis and differential voltage alarms. Summary of the Invention

[0005] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a method, system, storage medium and terminal for monitoring voltage within a battery module. By converting voltage data into a scatter plot, the extreme point analysis of the scatter plot is used to determine the voltage consistency within the battery module, thereby effectively improving the safety of battery module operation.

[0006] In a first aspect, the present invention provides a method for monitoring voltage within a battery module, the method comprising the following steps: acquiring voltage data of each cell in the battery module; calculating a standard voltage score for each cell based on the voltage data; calculating the mean and standard deviation of the standard voltage scores; constructing a scatter plot based on the mean and standard deviation; acquiring extreme points in the scatter plot, the extreme points including the scatter points with the largest and smallest horizontal coordinates and the scatter points with the largest and smallest vertical coordinates; constructing a circumscribed polygon with the extreme points as vertices, and acquiring the interior angle values ​​of the circumscribed polygon; and determining whether there is a consistency problem in the voltage within the battery module based on the interior angle values.

[0007] In one implementation of the first aspect, the voltage data is further preprocessed to calculate the voltage standard score based on the preprocessed voltage data.

[0008] In one implementation of the first aspect, calculating the voltage standard score for each cell based on the voltage data includes the following steps:

[0009] Calculate the mean or median μ and standard deviation σ of the voltage data;

[0010] Calculate the standard voltage score for each cell. Where V i This represents the voltage of the i-th cell in the battery module.

[0011] In one implementation of the first aspect, constructing a scatter plot based on the mean and the standard deviation includes the following steps:

[0012] Construct a Cartesian coordinate system using the mean and the standard deviation as coordinate axes;

[0013] The mean and standard deviation of each cell are plotted as scatter points on the Cartesian coordinate system.

[0014] In one implementation of the first aspect, determining whether there is a consistency problem in the voltage within the battery module based on the various interior angle values ​​includes the following steps:

[0015] Determine if each interior angle value is less than a preset threshold;

[0016] When at least one interior angle value is less than the preset threshold, it is determined that there is a voltage inconsistency problem in the battery module.

[0017] In one implementation of the first aspect, the method further includes determining that the corresponding battery cell is an abnormal battery cell based on the interior angle value being less than a preset threshold.

[0018] In one implementation of the first aspect, the method further includes verifying the abnormal battery cell; the verification includes the following steps:

[0019] Remove the scatter points corresponding to the abnormal cells from the scatter plot, and obtain the updated extreme points based on the remaining scatter points;

[0020] Construct an updated circumscribed polygon using the updated extreme points as vertices;

[0021] Obtain the interior angle values ​​of the updated circumscribed polygon;

[0022] When all the interior angle values ​​are not less than the preset threshold, the abnormality of the abnormal battery cell is verified.

[0023] Secondly, the present invention provides a voltage monitoring system within a battery module, the system comprising a first acquisition module, a first calculation module, a second calculation module, a first construction module, a second acquisition module, a second construction module, and a judgment module;

[0024] The first acquisition module is used to acquire the voltage data of each cell in the battery module;

[0025] The first calculation module is used to calculate the voltage standard score of each cell based on the voltage data;

[0026] The second calculation module is used to calculate the mean and standard deviation of the voltage standard scores;

[0027] The first construction module is used to construct a scatter plot based on the mean and the standard deviation;

[0028] The second acquisition module is used to acquire the extreme points in the scatter plot, the extreme points including the scatter points with the largest and smallest horizontal coordinates and the scatter points with the largest and smallest vertical coordinates in the scatter plot;

[0029] The second construction module is used to construct a circumscribed polygon with the extreme point as the vertex and obtain the interior angle values ​​of the circumscribed polygon;

[0030] The judgment module is used to determine whether there is a consistency problem in the voltage within the battery module based on the values ​​of each interior angle.

[0031] Thirdly, the present invention provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for monitoring voltage within a battery module.

[0032] Fourthly, the present invention provides a voltage monitoring terminal within a battery module, comprising: a processor and a memory;

[0033] The memory is used to store computer programs;

[0034] The processor is used to execute the computer program stored in the memory, so that the battery module voltage monitoring terminal performs the above-described battery module voltage monitoring method.

[0035] As described above, the battery module voltage monitoring method, system, storage medium, and terminal of the present invention have the following beneficial effects:

[0036] (1) Based on the voltage data of each cell in the battery module, the voltage consistency in the battery module can be judged using a small amount of data, which effectively improves the safety of the battery module operation.

[0037] (2) It can accurately locate the cells that affect the consistency of the battery module;

[0038] (3) It is applicable to batteries of various models, manufacturers and working conditions, with a wide range of applications and applicable to the entire life cycle of batteries;

[0039] (4) It is more effective than BMS in judging differential pressure and can quantify the degree of consistency;

[0040] (5) In addition to being applicable to a single battery module, it is also applicable to multiple battery modules in series operation to determine the consistency of cells between different battery modules in series mode, avoiding complex operations such as unpacking; and the invention can also be extended to the consistency of temperature probes in battery modules, but the threshold may need to be adjusted when extended to temperature probes. Attached Figure Description

[0041] Figure 1 The flowchart shown is an embodiment of the battery module voltage monitoring method of the present invention.

[0042] Figure 2 The diagram shows the change of normal voltage data of the battery cell in this invention over time in one embodiment.

[0043] Figure 3 Displayed as Figure 2 Normal voltage data in a scatter plot in one embodiment;

[0044] Figure 4 Displayed as Figure 3 A schematic diagram of the circumscribed polygon corresponding to the scatter plot;

[0045] Figure 5 The diagram shows the time-varying abnormal voltage data of the battery cell in one embodiment of the present invention.

[0046] Figure 6 Displayed as Figure 5 The abnormal voltage data is presented as a scatter plot in one embodiment;

[0047] Figure 7 Displayed as Figure 6 A schematic diagram of the circumscribed polygon corresponding to the scatter plot;

[0048] Figure 8 The diagram shown is a structural schematic of the battery module voltage monitoring system of the present invention in one embodiment.

[0049] Figure 9 The diagram shown is a structural schematic of a voltage monitoring terminal within a battery module according to an embodiment of the present invention. Detailed Implementation

[0050] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0051] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0052] The battery module voltage monitoring method, system, storage medium, and terminal of the present invention convert cell voltage into a scatter plot and, based on the analysis of the scatter plot, accurately determine the voltage consistency within the battery module. They can also accurately locate cells that affect the consistency of the battery module, thereby achieving reliable monitoring of the battery module and effectively improving the safety of battery module operation.

[0053] like Figure 1 As shown, in one embodiment, the battery module voltage monitoring method of the present invention includes the following steps:

[0054] Step S1: Obtain the voltage data of each cell in the battery module.

[0055] Specifically, the battery module can be a single battery module or a series-connected battery module. For a series-connected battery module, since the internal resistance of each cell is equal, the voltage change curve of each cell over time should, in principle, be consistent during charging and discharging. If the consistency of the voltage change among the cells is compromised, it can be assumed that a cell with abnormal internal resistance exists within the battery module. Therefore, to promptly detect faults within the battery module and improve its operational safety, it is necessary to monitor the voltage change of each cell over time. This is achieved by collecting the voltage change values ​​of each cell under normal operating conditions, thus obtaining the voltage data of each cell over time.

[0056] Preferably, the voltage data can be real-time voltage data or historical voltage data.

[0057] To improve the validity of the voltage data, in one embodiment, the voltage data needs to be preprocessed for subsequent processing. The preprocessing includes outlier removal and deduplication of the voltage data.

[0058] Step S2: Calculate the standard voltage score for each cell based on the voltage data.

[0059] Specifically, calculating the voltage standard score for each cell based on the voltage data includes the following steps:

[0060] 21) Calculate the mean or median μ and standard deviation σ of the voltage data.

[0061] Specifically, for a preset time length, the mean or median value μ and standard deviation σ of the corresponding voltage data are calculated.

[0062] 22) Calculate the standard voltage score for each cell. Where V i This represents the voltage of the i-th cell in the battery module.

[0063] Step S3: Calculate the mean and standard deviation of the voltage standard scores.

[0064] Specifically, for each cell, the mean and standard deviation of the voltage standard score corresponding to each preset time length are calculated, so that the voltage standard scores of multiple values ​​can be integrated into one value to represent the entire cell.

[0065] Step S4: Construct a scatter plot based on the mean and the standard deviation.

[0066] Specifically, for each cell in each battery module, scatter points are plotted based on the mean and standard deviation of the corresponding voltage standard scores to obtain a scatter plot, which is used to determine the voltage consistency status within the battery module.

[0067] In one embodiment, constructing a scatter plot based on the mean and the standard deviation includes the following steps:

[0068] 41) Construct a Cartesian coordinate system with the mean and the standard deviation as coordinate axes.

[0069] A Cartesian coordinate system is constructed with the mean as the horizontal axis and the standard deviation as the vertical axis. Alternatively, a Cartesian coordinate system is constructed with the mean as the vertical axis and the standard deviation as the horizontal axis.

[0070] 42) Plot the mean and standard deviation of each cell on the Cartesian coordinate system in the form of scatter points.

[0071] Specifically, based on the mean and standard deviation of the voltage standard deviation of each cell in the battery module, scatter points corresponding to each cell are plotted in the Cartesian coordinate system to obtain the scatter plot.

[0072] Step S5: Obtain the extreme points in the scatter plot, including the scatter points with the largest and smallest horizontal coordinates and the scatter points with the largest and smallest vertical coordinates.

[0073] Specifically, extreme points are determined in the scatter plot, where extreme points include the scatter points with the largest and smallest x-coordinates and scatter points with the largest and smallest y-coordinates. When a scatter point simultaneously satisfies both the maximum / minimum x-coordinate and the maximum / minimum y-coordinate, there are three extreme points. When two scatter points simultaneously satisfy both the maximum / minimum x-coordinate and the maximum / minimum y-coordinate, there are two extreme points. When no scatter point simultaneously satisfies both the maximum / minimum x-coordinate and the maximum / minimum y-coordinate, there are four extreme points. It should be noted that when there are two extreme points, it indicates that the voltage consistency within the battery module is very good. Therefore, this invention does not consider this situation. This invention mainly addresses the situation where there are three or four extreme points.

[0074] Step S6: Construct a circumscribed polygon with the extreme point as the vertex, and obtain the interior angle values ​​of the circumscribed polygon.

[0075] Specifically, if the three vertices of the circumscribed triangle are A, B, and C, then the angle values ​​of ∠ABC, ∠BCA, and ∠CAB need to be stated. If the four vertices of the circumscribed quadrilateral are A, B, C, and D, then the angle values ​​of ∠ABC, ∠BCD, ∠CDA, and ∠DAB need to be stated.

[0076] Step S7: Determine whether there is a consistency problem in the voltage within the battery module based on the values ​​of each interior angle.

[0077] Specifically, determining whether there is a voltage inconsistency issue within the battery module based on the aforementioned interior angle values ​​includes the following steps:

[0078] 71) Determine whether each interior angle value is less than a preset threshold.

[0079] The preset threshold is preferably 10°. The magnitude of the interior angle values ​​indicates the degree of data dispersion, reflecting the inconsistency of voltage within the battery module. When all interior angle values ​​are large, it indicates that the voltage distribution within the battery module is relatively concentrated and consistent; when a particular interior angle value is small, it indicates poor voltage consistency within the battery module, with a noticeable outlier. The interior angle values ​​must be compared with the preset threshold.

[0080] 72) When at least one interior angle value is less than the preset threshold, it is determined that there is a voltage inconsistency problem in the battery module; otherwise, it is determined that there is no voltage inconsistency problem in the battery module and that it is a normal battery module.

[0081] For example, when the degrees of the four interior angles are 147.049, 138.045, 24.572, and 50.332 respectively, all are greater than 10, indicating good voltage consistency within the battery module. When the degrees of the four interior angles are 141.7, 122.7, 6.4, and 89.2 respectively, there are interior angle values ​​less than 10, indicating abnormal voltage consistency within the battery module.

[0082] In one embodiment, the battery module voltage monitoring method of the present invention further includes determining that the corresponding battery cell is an abnormal battery cell based on the interior angle value that is less than a preset threshold. Specifically, by determining the corresponding battery cell based on the vertex of the interior angle that is less than the preset threshold, it is determined that the battery cell is an abnormal battery cell, and thus an abnormal battery module can be identified.

[0083] Preferably, the battery module voltage monitoring method of the present invention further includes verifying the abnormal cell; the verification includes the following steps:

[0084] Remove the scatter points corresponding to the abnormal cells from the scatter plot, and obtain the updated extreme points based on the remaining scatter points;

[0085] Construct an updated circumscribed polygon using the updated extreme points as vertices;

[0086] Obtain the interior angle values ​​of the updated circumscribed polygon;

[0087] When all the interior angle values ​​are not less than the preset threshold, the abnormality of the abnormal battery cell is verified.

[0088] When the battery module voltage monitoring method of the present invention is applied to a battery cluster containing multiple battery modules connected in series, the following two methods can be used to locate battery modules with abnormal voltage:

[0089] (1) Construct a scatter plot based on the voltage data of all cells, and locate abnormal battery modules based on abnormal cells;

[0090] (2) Construct a scatter plot based on the voltage data of each battery module, and locate the abnormal battery module based on the abnormal scatter plot.

[0091] The following specific embodiments further illustrate the battery module voltage monitoring method of the present invention.

[0092] For example Figure 2 The normal voltage data shown indicates that the voltage changes of each cell over time follow a consistent trend. Analysis yielded the following results. Figure 3 The scatter plot shown has four darker points representing extreme values. Based on these extreme values, we can obtain... Figure 4 The circumscribed polygon is shown. Since all interior angles of the circumscribed polygon are greater than 10°, it can be determined that the voltage consistency within the battery module is good.

[0093] For example Figure 5 The abnormal voltage data shown indicates that the voltage trends of each cell over time are inconsistent, exhibiting deviations. Analysis revealed... Figure 6 The scatter plot shown has four darker points representing extreme values. Based on these extreme values, we can obtain... Figure 7 The circumscribed polygon is shown. If the interior angles of the circumscribed polygon are less than 10°, it can be determined that the voltage consistency within the battery module is abnormal.

[0094] The scope of protection of the battery module voltage monitoring method described in this embodiment is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting, or replacing steps in the prior art based on the principle of this invention is included within the scope of protection of this invention.

[0095] This invention also provides a battery module internal voltage monitoring system, which can implement the battery module internal voltage monitoring method described in this invention. However, the implementation device of the battery module internal voltage monitoring system described in this invention includes, but is not limited to, the structure of the battery module internal voltage monitoring system listed in this embodiment. All structural modifications and substitutions of the prior art made according to the principles of this invention are included within the protection scope of this invention.

[0096] like Figure 8As shown, in one embodiment, the battery module voltage monitoring system of the present invention includes a first acquisition module 81, a first calculation module 82, a second calculation module 83, a first construction module 84, a second acquisition module 85, a second construction module 86, and a judgment module 87.

[0097] The first acquisition module 81 is used to acquire the voltage data of each cell in the battery module.

[0098] The first calculation module 82 is connected to the first acquisition module 81 and is used to calculate the voltage standard score of each cell based on the voltage data.

[0099] The second calculation module 83 is connected to the first calculation module 82 and is used to calculate the mean and standard deviation of the voltage standard score.

[0100] The first construction module 84 is connected to the second calculation module 83 and is used to construct a scatter plot based on the mean and the standard deviation.

[0101] The second acquisition module 85 is connected to the first construction module 84 and is used to acquire the extreme points in the scatter plot. The extreme points include the scatter points with the largest and smallest horizontal coordinates and the scatter points with the largest and smallest vertical coordinates in the scatter plot.

[0102] The second construction module 86 is connected to the second acquisition module 85 and is used to construct a circumscribed polygon with the extreme point as the vertex and acquire the interior angle values ​​of the circumscribed polygon.

[0103] The judgment module 87 is connected to the second construction module 86 and is used to determine whether there is a consistency problem in the voltage of the battery module based on the internal angle values.

[0104] The structure and principle of the first acquisition module 81, the first calculation module 82, the second calculation module 83, the first construction module 84, the second acquisition module 85, the second construction module 86 and the judgment module 87 correspond one-to-one with the steps in the above-mentioned battery module voltage monitoring method, so they will not be described again here.

[0105] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls, entirely in hardware, or partially in software calls via processing elements and partially in hardware. For example, module x can be a separate processing element or integrated into a chip within the device. Additionally, module x can be stored as program code in the device's memory, invoked and executed by a processing element. The implementation of other modules is similar. These modules can be fully or partially integrated together or implemented independently. The processing element mentioned here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed through integrated logic circuits in the processor element or through software instructions. These modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more Digital Signal Processors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), etc. When a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. These modules can be integrated together to form a System-on-a-Chip (SOC).

[0106] The storage medium of this invention stores a computer program, which, when executed by a processor, implements the aforementioned battery module voltage monitoring method. Preferably, the storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disk, USB flash drive, memory card, or optical disk.

[0107] like Figure 9 As shown, in one embodiment, the voltage monitoring terminal in the battery module of the present invention includes a processor 91 and a memory 92.

[0108] The memory 92 is used to store computer programs. The memory 92 includes various media capable of storing program code, such as ROM, RAM, magnetic disk, USB flash drive, memory card, or optical disk.

[0109] The processor 91 is connected to the memory 92 and is used to execute the computer program stored in the memory so that the battery module voltage monitoring terminal performs the above-described battery module voltage monitoring method.

[0110] Preferably, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0111] In summary, the battery module voltage monitoring method, system, storage medium, and terminal of the present invention, based on the voltage data of each cell within the battery module, can determine the voltage consistency within the battery module using a small amount of data, effectively improving the safety of battery module operation; it can accurately locate cells that affect the consistency of the battery module; it is applicable to batteries of various models, manufacturers, and operating conditions, with a wide range of applications and applicable to the entire battery life cycle; it is more effective than the differential voltage judgment of BMS and can quantify the degree of consistency; in addition to being applicable to a single battery module, it is also applicable to multiple battery modules in series operation to determine the consistency of cells between different battery modules in series mode, avoiding complex operations such as unpacking. Therefore, the present invention effectively overcomes the various shortcomings of the prior art and has high industrial application value.

[0112] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for monitoring voltage within a battery module, characterized in that: The method includes the following steps: Obtain the voltage data of each cell in the battery module; Calculate the standard voltage score for each cell based on the voltage data; Calculate the mean and standard deviation of the voltage standard scores; Construct a scatter plot based on the mean and the standard deviation; Obtain the extreme points in the scatter plot, the extreme points including the scatter points with the largest and smallest x-coordinates and the scatter points with the largest and smallest y-coordinates in the scatter plot; Construct a circumscribed polygon with the extreme point as the vertex, and obtain the interior angle values ​​of the circumscribed polygon; Based on the values ​​of each interior angle, determine whether there is a consistency problem in the voltage within the battery module; It also includes the verification of abnormal battery cells; the verification includes the following steps: Remove the scatter points corresponding to the abnormal cells from the scatter plot, and obtain the updated extreme points based on the remaining scatter points; Construct an updated circumscribed polygon using the updated extreme points as vertices; Obtain the interior angle values ​​of the updated circumscribed polygon; When all the interior angle values ​​are not less than the preset threshold, the abnormality of the abnormal battery cell is verified.

2. The battery module voltage monitoring method according to claim 1, characterized in that: It also includes preprocessing the voltage data to calculate the voltage standard score based on the preprocessed voltage data.

3. The battery module voltage monitoring method according to claim 1, characterized in that: Calculating the standard voltage score for each cell based on the voltage data includes the following steps: Calculate the mean or median of the voltage data. and standard deviation ; Calculate the standard voltage score for each cell. ,in Indicates the first in the battery module i The voltage of each battery cell.

4. The battery module voltage monitoring method according to claim 1, characterized in that: Constructing a scatter plot based on the mean and the standard deviation includes the following steps: Construct a Cartesian coordinate system using the mean and the standard deviation as coordinate axes; The mean and standard deviation of each cell are plotted as scatter points on the Cartesian coordinate system.

5. The battery module voltage monitoring method according to claim 1, characterized in that: Determining whether there is a consistency problem in the voltage within the battery module based on the aforementioned interior angle values ​​includes the following steps: Determine whether each interior angle value is less than a preset threshold; When at least one interior angle value is less than the preset threshold, it is determined that there is a voltage inconsistency problem in the battery module.

6. The battery module voltage monitoring method according to claim 5, characterized in that: It also includes determining that the corresponding battery cell is an abnormal battery cell based on the interior angle value being less than a preset threshold.

7. A voltage monitoring system within a battery module, characterized in that: The system includes a first acquisition module, a first calculation module, a second calculation module, a first construction module, a second acquisition module, a second construction module, and a judgment module; The first acquisition module is used to acquire the voltage data of each cell in the battery module; The first calculation module is used to calculate the voltage standard score of each cell based on the voltage data; The second calculation module is used to calculate the mean and standard deviation of the voltage standard scores; The first construction module is used to construct a scatter plot based on the mean and the standard deviation; The second acquisition module is used to acquire the extreme points in the scatter plot, the extreme points including the scatter points with the largest and smallest horizontal coordinates and the scatter points with the largest and smallest vertical coordinates in the scatter plot; The second construction module is used to construct a circumscribed polygon with the extreme point as the vertex and obtain the interior angle values ​​of the circumscribed polygon; The judgment module is used to determine whether there is a consistency problem in the voltage within the battery module based on the values ​​of each interior angle. It also includes the verification of abnormal battery cells; the verification includes the following steps: Remove the scatter points corresponding to the abnormal cells from the scatter plot, and obtain the updated extreme points based on the remaining scatter points; Construct an updated circumscribed polygon using the updated extreme points as vertices; Obtain the interior angle values ​​of the updated circumscribed polygon; When all the interior angle values ​​are not less than the preset threshold, the abnormality of the abnormal battery cell is verified.

8. A storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the battery module voltage monitoring method as described in any one of claims 1 to 6.

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