Battery consistency evaluation method and system, computer equipment and storage medium

Abstract

The invention relates to a battery consistency evaluation method and system, computer equipment and a storage medium. The evaluation method comprises the following steps: acquiring target operation data of a target battery pack; acquiring a state characterization parameter of each single battery according to the target operation data; the state characterization parameters comprise a voltage parameter, a temperature parameter, an internal resistance parameter, a battery capacity parameter, an energy parameter, a charge state parameter, an energy state parameter and an efficiency parameter. Calculating a consistency evaluation index of the target battery pack according to the state characterization parameter; the consistency evaluation indexes comprise a state characterization parameter range, a state characterization parameter standard deviation, a state characterization parameter deviation coefficient and a state characterization parameter variation index. And constructing a consistency evaluation model according to the consistency evaluation indexes and the state characterization parameters. And according to the consistency evaluation model and the consistency evaluation index, determining a consistency evaluation result including a battery outlier condition and a battery degradation trend. According to the invention, the accuracy and adaptability of battery consistency evaluation can be improved.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a battery consistency evaluation method, system, computer device, and storage medium. Background Art

[0002] In the current energy storage technology field, improving energy efficiency and adjusting energy structure have become core development trends. As the capacity of energy storage power stations gradually increases, the number of individual batteries within the energy storage compartments can reach tens of thousands. In the multi-dimensional characteristic analysis of large-scale energy storage power stations, battery consistency assessment is performed to ensure that each individual battery in the energy storage station achieves consistent performance and service life. This is a key foundation for the safe operation and efficient maintenance of large-scale energy storage power stations.

[0003] However, in current energy storage power stations, battery consistency assessment suffers from a singularity problem, relying solely on single parameters such as voltage or temperature for evaluation. The analysis basis is relatively weak, making it difficult to achieve accurate evaluation in the early stages of energy storage power station operation when data is insufficient. Furthermore, it is difficult to accurately and quantitatively estimate the degradation trend of battery performance. The evaluation results are not adaptable, and the accuracy of the evaluation cannot be guaranteed under long-term operation of the energy storage power station. Summary of the Invention

[0004] Based on this, the embodiments of the present application provide a battery consistency evaluation method, system, computer device and storage medium, which can effectively improve the accuracy of battery consistency evaluation and the adaptability of evaluation results in large-scale energy storage power stations.

[0005] To achieve the above objectives, in a first aspect, some embodiments of the present application provide a method for evaluating battery consistency, which includes the following steps.

[0006] Obtain target operating data of a target battery pack.

[0007] According to the target operating data, state characterization parameters of each single cell in the target battery pack in the operating state are obtained; the state characterization parameters include at least one of voltage parameters, temperature parameters, internal resistance parameters, battery capacity parameters, energy parameters, state of charge parameters, energy state parameters and efficiency parameters.

[0008] According to the state characterization parameter, a consistency evaluation index of the target battery pack is calculated; the consistency evaluation index includes at least one of the state characterization parameter range, the state characterization parameter standard deviation, the state characterization parameter deviation coefficient and the state characterization parameter variation index.

[0009] A consistency evaluation model is constructed according to the consistency evaluation index and the state characterization parameter.

[0010] According to the consistency evaluation model and the consistency evaluation index, a consistency evaluation result of the target battery pack is determined; the consistency evaluation result includes a battery outlier condition and a battery degradation trend.

[0011] In some embodiments, the target operation data of the target battery pack is obtained, including the following steps.

[0012] Real-time battery operation data of the target battery pack is obtained.

[0013] According to a consistency evaluation dimension, the battery operation data is filtered to obtain an effective data segment corresponding to the consistency evaluation dimension as the target operation data; the consistency evaluation dimension includes at least one dimension of voltage, temperature, internal resistance, battery capacity, energy, state of charge, state of energy, and efficiency.

[0014] In some embodiments, the consistency evaluation index includes a first evaluation index and a second evaluation index; wherein the first evaluation index includes a state characteristic parameter range, a state characteristic parameter standard deviation, and a state characteristic parameter deviation coefficient, and the second evaluation index includes a state characteristic parameter anomaly index. According to the consistency evaluation model and the consistency evaluation index, the consistency evaluation result of the target battery pack is determined, including the following steps.

[0015] Based on the consistency evaluation model, the battery outlier condition of each single battery in the target battery pack is obtained according to the first evaluation index and the battery operation standard.

[0016] Based on the consistency evaluation model, the battery degradation trend is determined according to the second evaluation index and the historical operation data.

[0017] In some embodiments, after the consistency evaluation result of the target battery pack is determined according to the consistency evaluation model and the consistency evaluation index, the evaluation method further includes the following steps.

[0018] According to the consistency evaluation result, an abnormal battery is determined from the target battery pack.

[0019] Based on the consistency evaluation dimension, a consistency abnormality type of the abnormal battery is determined.

[0020] In the case of state of charge abnormality and / or state of energy abnormality, a power compensation and equalization maintenance instruction is generated.

[0021] In the case of battery capacity abnormality, energy abnormality, temperature abnormality, and / or internal resistance abnormality, a battery replacement maintenance instruction is generated.

[0022] In some embodiments, the abnormal cells include short-term abnormal cells and long-term abnormal cells. The step of determining abnormal cells from the target battery pack according to the consistency evaluation result includes the following steps.

[0023] According to the battery outlier condition, the outlier rate of each single battery in the target battery group is determined.

[0024] The single battery whose outlier rate is greater than a first threshold is correspondingly determined as the short-term abnormal battery.

[0025] Determine the degradation rate of each single battery in the target battery pack according to the battery degradation trend.

[0026] The single battery cell whose degradation rate is greater than a second threshold is correspondingly determined as the long-term abnormal battery cell.

[0027] In some embodiments, after determining the consistency evaluation result of the target battery pack according to the consistency evaluation model and the consistency evaluation index, the evaluation method further includes the following steps.

[0028] Acquire historical operating data of the target battery pack and establish a historical database.

[0029] Based on the historical database, the consistency assessment model is iteratively optimized.

[0030] In a second aspect, the present application also provides a battery consistency evaluation system according to some embodiments; the evaluation system includes a first acquisition module, a second acquisition module, a first determination module, a model construction module, and an evaluation module. The first acquisition module is used to obtain target operating data of a target battery pack. The second acquisition module is connected to the first acquisition module and is used to obtain state characterization parameters of each single battery in the target battery pack in the operating state based on the target operating data; the state characterization parameters include at least one of voltage parameters, temperature parameters, internal resistance parameters, battery capacity parameters, energy parameters, state of charge parameters, energy state parameters, and efficiency parameters. The first determination module is connected to the second acquisition module and is used to calculate the consistency evaluation index of the target battery pack based on the state characterization parameters; the consistency evaluation index includes at least one of the state characterization parameter range, state characterization parameter standard deviation, state characterization parameter deviation coefficient, and state characterization parameter variation index. The model construction module is used to construct a consistency evaluation model based on the consistency evaluation index and the state characterization parameters. The evaluation module is connected to the first determination module and the model building module, and is used to determine the consistency evaluation result of the target battery group based on the consistency evaluation model and the consistency evaluation index; the consistency evaluation result includes battery outlier status and battery degradation trend.

[0031] In a third aspect, the present application also provides a computer device according to some embodiments; the computer device includes a memory and a processor, the memory stores a computer program; when the processor executes the computer program, the steps of the method described in the first aspect of the present application are implemented.

[0032] In a fourth aspect, the present application further provides a computer-readable storage medium according to some embodiments, on which a computer program is stored; when the computer program is executed by a processor, the steps of the method described in the first aspect of the present application are implemented.

[0033] In a fifth aspect, the present application also provides a computer program product according to some embodiments, comprising a computer program; when the computer program is executed by a processor, the steps of the method described in the first aspect of the present application are implemented.

[0034] The embodiments of the present application may or at least have the following advantages:

[0035] In an embodiment of the present application, by obtaining multiple types of state characterization parameters based on the target operating data of the target battery group and the target operating data, the state characterization parameters can reflect the performance status of the battery from multiple dimensions, thereby improving the comprehensiveness of data acquisition. Based on the state characterization parameters, multiple consistency evaluation indicators are calculated, and a consistency evaluation model is constructed to determine the consistency evaluation structure including battery outliers and battery degradation trends; in this way, not only can outlier batteries in the target battery group be screened in real time, accurate short-term safety warnings can be achieved, and sudden failures can be prevented; predictive analysis of the overall degradation trend of the target battery group can also be performed to achieve long-term maintenance planning. Under the joint action of the above technical features, the present application can achieve a multi-dimensional comprehensive evaluation of battery consistency, and take into account both short-term safety warnings and long-term maintenance planning for battery consistency, which is conducive to improving the accuracy of battery consistency evaluation in large-scale energy storage power stations and the adaptability of evaluation results.

[0036] The details of one or more embodiments of the present application are set forth in the following drawings and description. Other features, objects, and advantages of the present application will become apparent from the description, drawings, and claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0038] Figure 1 A schematic flow chart of a method for evaluating battery consistency provided in some embodiments;

[0039] Figure 2 A schematic flow chart of step S100 provided in some embodiments;

[0040] Figure 3 A schematic flow chart of another method for evaluating battery consistency provided in some embodiments;

[0041] Figure 4 A schematic flow chart of another method for evaluating battery consistency provided in some embodiments;

[0042] Figure 5 A schematic flow chart of another method for evaluating battery consistency provided in some embodiments;

[0043] Figure 6 A schematic flow chart of another method for evaluating battery consistency provided in some embodiments;

[0044] Figure 7 A structural block diagram of a battery consistency evaluation system provided in some embodiments;

[0045] Figure 8 This is a diagram of the internal structure of a computer device provided in some embodiments.

[0046] Description of reference numerals:

[0047] 1. First acquisition module; 2. Second acquisition module; 3. First determination module; 4. Model building module; 5. Evaluation module. DETAILED DESCRIPTION

[0048] To facilitate understanding of the present application, a more comprehensive description of the present application will be provided below with reference to the accompanying drawings. The drawings illustrate preferred embodiments of the present application. However, the present application may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the present disclosure.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains. The terms used herein in the specification of this application are for the purpose of describing specific embodiments only and are not intended to limit this application.

[0050] It should be understood that when an element or layer is referred to as being "on," "adjacent to," or "connected to" another element or layer, it may be directly on, adjacent to, connected to, or coupled to the other element or layer, or there may be intervening elements or layers. It should be understood that although the terms first, second, third, etc. may be used to describe various elements, components, regions, layers, doping types, and / or portions, these elements, components, regions, layers, doping types, and / or portions should not be limited by these terms. These terms are merely used to distinguish one element, component, region, layer, doping type, or portion from another element, component, region, layer, doping type, or portion. Thus, a first element, component, region, layer, doping type, or portion discussed below may be represented as a second element, component, region, layer, or portion without departing from the teachings of the present application.

[0051] As used herein, the singular forms "a," "an," and "the" may also include the plural forms, unless the context clearly indicates otherwise. It should also be understood that when the terms "comprising" and / or "including" are used in this specification, they may specify the presence of the stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups. At the same time, when used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0052] While embodiments of the invention are described herein with reference to cross-sectional illustrations that are schematic illustrations of idealized embodiments (and intermediate structures) of the present invention, variations from the illustrated shapes due to, for example, manufacturing techniques and / or tolerances are to be expected. Embodiments of the present invention should not be limited to the particular shapes of regions illustrated herein but are to include deviations in shapes due to, for example, manufacturing techniques. Thus, the regions shown in the figures are schematic in nature and their shapes are not intended to represent the actual shapes of regions of a device and are not intended to limit the scope of the present invention.

[0053] The embodiments of the present application provide a battery consistency evaluation method, system, computer device, and storage medium, which can effectively improve the accuracy of battery consistency evaluation and the adaptability of evaluation results in large-scale energy storage power stations.

[0054] In some embodiments, see Figure 1 The battery consistency evaluation method includes the following steps S100~S500.

[0055] S100, acquiring target operating data of a target battery pack.

[0056] For example, the target battery group may be one or more battery groups to be evaluated in an energy storage power station.

[0057] In some embodiments, see Figure 2, step S100 includes the following steps S110~S120.

[0058] S110, obtaining battery operation data of the target battery pack in real time.

[0059] For example, the battery operation data may be obtained by real-time monitoring of a target battery pack by a battery management system (BMS).

[0060] S120, filtering the battery operation data according to the consistency evaluation dimension, and obtaining the valid data segment corresponding to the consistency evaluation dimension as the target operation data; the consistency evaluation dimension includes at least one dimension of voltage, temperature, internal resistance, battery capacity, energy, state of charge (SOC), state of energy (SOE), and efficiency.

[0061] For example, the target operating data can be obtained online through the battery management system (BMS) of the target battery pack, and the battery operating data can be format converted or processed to eliminate invalid data and filter valid data segments corresponding to each consistency assessment dimension as the target operating data.

[0062] For example, in the initial operation stage of the energy storage power station, a battery state model is established according to battery operation data through the battery management system, and data processing and data screening are performed based on the battery state model to obtain target operation data.

[0063] For example, after the energy storage power station has been operating for a long time, the battery management system periodically reads valid data of the charging data segment and the discharging data segment of the target battery pack to obtain target operating data, wherein the data reading cycle is less than or equal to 6 months.

[0064] S200, based on the target operating data, obtain state characterization parameters of each single battery in the target battery pack in the operating state; the state characterization parameters include at least one of a voltage parameter, a temperature parameter, an internal resistance parameter, a battery capacity parameter, an energy parameter, a state of charge (SOC) parameter, a state of energy (SOE) parameter, and an efficiency parameter.

[0065] S300, calculating a consistency evaluation index of a target battery pack based on the state characterization parameter; the consistency evaluation index includes at least one of a state characterization parameter range, a state characterization parameter standard deviation, a state characterization parameter deviation coefficient, and a state characterization parameter variation index.

[0066] For example, the consistency assessment index can be determined by using the Analytic Hierarchy Process (AHP) of interval estimated present value.

[0067] In some examples, the state characterization parameter range can be determined according to the following formula:

[0068] ;

[0069] in, The state characterization parameter is extremely poor. is the maximum value of the current battery status parameter, is the minimum value of the current battery status parameter, and i is the serial number of the current single battery in the target battery pack.

[0070] It should be noted that the state characterization parameter range is used to measure the degree of dispersion of the state characterization parameters of each single battery in the target battery pack.

[0071] In some examples, the standard deviation of the state characterizing parameter can be determined according to the following formula:

[0072] ;

[0073] in, is the standard deviation of the state characterization parameter, is the current battery status parameter, is the average value of the battery status parameter, i is the serial number of the current single battery in the target battery pack, and n is the total number of single batteries in the target battery pack or the total number of monitoring points in the energy storage power station system.

[0074] It should be noted that the standard deviation of the state characterization parameter is used to measure the degree of outlier of the state characterization parameter of each single battery in the target battery pack.

[0075] According to the above example, the state characterization parameter deviation coefficient can be determined according to the following formula:

[0076] ;

[0077] in, is the state characterization parameter deviation coefficient, is the standard deviation of the state characterization parameter, is the average value of the battery status parameter.

[0078] It should be noted that the state characterization parameter deviation coefficient is used to measure the relative dispersion of the state characterization parameters of each single battery in the target battery pack.

[0079] According to the above example, the state characterization parameter variation index can be determined according to the following formula:

[0080] ;

[0081] in, is the state characterization parameter variation index, is the current battery status parameter, is the average value of the state characterization parameter in the battery operation standard, It is the standard deviation of the state characterization parameter in the battery operation standard.

[0082] It should be noted that the state characterization parameter variation index is used to measure the degree of deviation between the actual state characterization parameters of each single battery in the target battery pack and the standard state characterization parameters in the battery operation standard.

[0083] S400: Construct a consistency evaluation model based on the consistency evaluation index and the state representation parameter.

[0084] In some examples, the consistency assessment model is used to enable assessment of battery outliers on a short-term scale and battery degradation trends on a long-term scale.

[0085] S500, determining the consistency evaluation result of the target battery pack based on the consistency evaluation model and consistency evaluation indicators; the consistency evaluation result includes battery outlier conditions and battery degradation trends.

[0086] In an embodiment of the present application, by obtaining multiple types of state characterization parameters based on the target operating data of the target battery group and the target operating data, the state characterization parameters can reflect the performance status of the battery from multiple dimensions, thereby improving the comprehensiveness of data acquisition. Based on the state characterization parameters, multiple consistency evaluation indicators are calculated, and a consistency evaluation model is constructed to determine the consistency evaluation structure including battery outliers and battery degradation trends; in this way, not only can outlier batteries in the target battery group be screened in real time, accurate short-term safety warnings can be achieved, and sudden failures can be prevented; predictive analysis of the overall degradation trend of the target battery group can also be performed to achieve long-term maintenance planning. Under the joint action of the above technical features, the present application can achieve a multi-dimensional comprehensive evaluation of battery consistency, and take into account both short-term safety warnings and long-term maintenance planning for battery consistency, which is conducive to improving the accuracy of battery consistency evaluation in large-scale energy storage power stations and the adaptability of evaluation results.

[0087] In some examples, the consistency evaluation index includes a first evaluation index and a second evaluation index; wherein the first evaluation index includes the state characterization parameter range, the state characterization parameter standard deviation and the state characterization parameter deviation coefficient, and the second evaluation index includes the state characterization parameter variation index.

[0088] In some embodiments, see Figure 3The step S500 includes steps S510-S520.

[0089] S510, based on the consistency evaluation model, obtaining the battery outlier condition of each single battery in the target battery pack according to the first evaluation index and the battery operation standard.

[0090] For example, the battery outlier condition of the single battery includes the outlier value and / or outlier rate of each single battery in the target battery pack.

[0091] S520, based on the consistency evaluation model, determining the battery degradation trend according to the second evaluation index and the historical operation data.

[0092] In some embodiments, referring to Figure 4 After the step S500, the evaluation method further includes steps S610-S640.

[0093] S610, determining the abnormal battery from the target battery pack according to the consistency evaluation result.

[0094] S620, judging the consistency abnormal type of the abnormal battery based on the consistency evaluation dimension.

[0095] S630, in the case that the consistency abnormal type is the state of charge abnormality and / or the state of energy abnormality, generating the power compensation and equalization maintenance instruction.

[0096] For example, the power compensation and equalization instruction includes the power compensation and equalization strategy; the power compensation and equalization strategy can be determined according to the state of charge (SOC) and / or the state of energy (SOE) of the abnormal battery.

[0097] In some embodiments, the evaluation method of the battery consistency further includes: analyzing the state change of different single batteries before and after the equalization maintenance, correcting and updating the equalization strategy of the voltage balance and the current distribution, and dynamically adjusting the trigger condition of the voltage difference, the current difference, the internal resistance difference and the like.

[0098] S640, in the case that the consistency abnormal type is the battery capacity abnormality, the energy abnormality, the temperature abnormality and / or the internal resistance abnormality, generating the battery replacement maintenance instruction.

[0099] For example, in the case that the consistency abnormal type is the battery capacity abnormality and / or the energy abnormality, the single battery with relatively small battery capacity and / or relatively small energy can be selected from the abnormal battery for replacement maintenance.

[0100] For example, in the case that the consistency abnormal type is the temperature abnormality and / or the internal resistance abnormality, the single battery with relatively large internal resistance and / or relatively high temperature abnormality can be selected from the abnormal battery for replacement maintenance.

[0101] In some embodiments, abnormal cells include short-term abnormal cells and long-term abnormal cells. Figure 5 , step S610 includes the following steps S611~S614.

[0102] S611 , determining the outlier rate of each single battery in the target battery pack according to the battery outlier situation.

[0103] S612 , determining a single battery whose outlier rate is greater than a first threshold as a short-term abnormal battery.

[0104] S613: Determine the degradation rate of each single battery in the target battery pack according to the battery degradation trend.

[0105] S614: Determine the single battery cells whose degradation rate is greater than the second threshold as long-term abnormal batteries.

[0106] For example, the second threshold may be determined according to a standard degradation rate in a battery operation standard.

[0107] In some embodiments, see Figure 6 After step S500, the battery consistency evaluation method further includes the following steps S710 to S720.

[0108] S710: Acquire historical operating data of the target battery pack and establish a historical database.

[0109] For example, the historical operating data of the target battery pack may be historical data stored offline.

[0110] S720, iteratively optimizes the consistency assessment model based on the historical database.

[0111] For example, the iterative optimization of the consistency assessment model can be performed based on a data-driven generalized regression neural network optimization algorithm.

[0112] It should be understood that although Figures 1 to 6 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figures 1 to 6 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The order of execution of these steps or stages is not necessarily one by one, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0113] This application also provides a battery consistency evaluation system according to some embodiments, which can be used to execute the battery consistency evaluation method in some of the above embodiments. The battery consistency evaluation system also has the technical advantages of the above battery consistency evaluation method. It should be noted that for the parts that are the same or corresponding to the above embodiments, please refer to the corresponding description of the above embodiments, and will not be described in detail below.

[0114] In some embodiments, see Figure 7 The battery consistency evaluation system includes a first acquisition module 1, a second acquisition module 2, a first determination module 3, a model construction module 4 and an evaluation module 5. The first acquisition module 1 is used to obtain the target operating data of the target battery pack. The second acquisition module 2 is connected to the first acquisition module 1, and is used to obtain the state characterization parameters of each single battery in the target battery pack in the operating state according to the target operating data; the state characterization parameters include at least one of voltage parameters, temperature parameters, internal resistance parameters, battery capacity parameters, energy parameters, state of charge parameters, energy state parameters and efficiency parameters. The first determination module 3 is connected to the second acquisition module 2, and is used to calculate the consistency evaluation index of the target battery pack according to the state characterization parameters; the consistency evaluation index includes at least one of the state characterization parameter range, the state characterization parameter standard deviation, the state characterization parameter deviation coefficient and the state characterization parameter variation index. The model construction module 4 is used to construct a consistency evaluation model based on the consistency evaluation index and the state characterization parameters. The evaluation module 5 is connected to the first determination module 3 and the model building module 4, and is used to determine the consistency evaluation result of the target battery pack based on the consistency evaluation model and consistency evaluation indicators; the consistency evaluation result includes battery outliers and battery degradation trends.

[0115] For example, the model building module 4 may be connected to the second acquisition module 2 and the first determination module 3 .

[0116] For example, the first acquisition module 1 may be a battery management system (BMS for short).

[0117] In some embodiments, the first acquisition module 1 includes a first acquisition unit and a second acquisition unit. The first acquisition unit is configured to acquire battery operating data of a target battery pack in real time. The second acquisition unit is connected to the first acquisition unit and is configured to filter the battery operating data according to a consistency assessment dimension and acquire valid data segments corresponding to the consistency assessment dimension as target operating data.

[0118] In some examples, the consistency evaluation index includes a first evaluation index and a second evaluation index; wherein the first evaluation index includes the state characterization parameter range, the state characterization parameter standard deviation and the state characterization parameter deviation coefficient, and the second evaluation index includes the state characterization parameter variation index.

[0119] In some embodiments, the assessment module 5 includes a short-term assessment unit and a long-term assessment unit. The short-term assessment unit is configured to obtain the battery outlier status of each battery cell in the target battery pack based on a consistency assessment model, a first assessment indicator, and battery operating standards. The long-term assessment unit is configured to determine the battery degradation trend based on a consistency assessment model, a second assessment indicator, and historical operating data.

[0120] In some embodiments, the battery consistency evaluation system further includes a second determination module, a first judgment module, a first maintenance instruction generation module, and a second maintenance instruction generation module. The second determination module is connected to the evaluation module 5, and is used to determine abnormal batteries from the target battery pack based on the consistency evaluation results. The first judgment module is used to determine the consistency abnormality type of the abnormal battery based on the consistency evaluation dimension. The first maintenance instruction generation module is connected to the first judgment module, and is used to generate a power replenishment and balancing maintenance instruction when the consistency abnormality type is a charge state abnormality and / or an energy state abnormality. The second maintenance instruction generation module is connected to the first judgment module, and is used to generate a battery replacement maintenance instruction when the consistency abnormality type is a battery capacity abnormality, energy abnormality, temperature abnormality and / or internal resistance abnormality.

[0121] In some embodiments, the battery consistency assessment system further includes a data processing module and a model iteration module. The data processing module is configured to obtain historical operating data of the target battery pack and establish a historical database. The model iteration module is configured to iteratively optimize the consistency assessment model based on the historical database.

[0122] In some embodiments, see Figure 8 , the present application also provides a computer device according to some embodiments; the computer device includes a memory and a processor, the memory stores a computer program; when the processor executes the computer program, the steps of the method of the first aspect of the present application are implemented. The computer device also has the technical advantages of the aforementioned battery consistency evaluation method. It should be noted that for the parts that are the same or corresponding to the above embodiments, reference can be made to the corresponding description of the above embodiments, and will not be described in detail below.

[0123] In some embodiments, the present application also provides a computer-readable storage medium according to some embodiments, on which a computer program is stored; when the computer program is executed by a processor, the steps of the method of the first aspect of the present application are implemented. The computer-readable storage medium also has the technical advantages of the aforementioned battery consistency evaluation method. It should be noted that for the parts that are the same or corresponding to the above embodiments, reference can be made to the corresponding description of the above embodiments, and will not be described in detail below.

[0124] In some embodiments, the present application also provides a computer program product according to some embodiments, including a computer program; when the computer program is executed by a processor, the steps of the method of the first aspect of the present application are implemented. The computer program product also has the technical advantages of the aforementioned battery consistency evaluation method. It should be noted that for the parts that are the same or corresponding to the above embodiments, reference can be made to the corresponding description of the above embodiments, and will not be described in detail below.

[0125] In the description of this specification, reference to the terms "some embodiments," "some examples," "exemplarily," etc., 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, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example.

[0126] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0127] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the scope of the present application, and such modifications and improvements are all within the scope of protection of the present application.

Claims

1. A method for evaluating battery consistency, characterized in that: include: Obtain target operating data of a target battery pack; Obtaining, based on the target operating data, a state characterizing parameter of each single battery in the target battery pack in an operating state; the state characterizing parameter comprising at least one of a voltage parameter, a temperature parameter, an internal resistance parameter, a battery capacity parameter, an energy parameter, a state of charge parameter, an energy state parameter, and an efficiency parameter; Calculating a consistency evaluation index of the target battery pack based on the state characterization parameter; the consistency evaluation index includes at least one of a state characterization parameter range, a state characterization parameter standard deviation, a state characterization parameter deviation coefficient, and a state characterization parameter variation index; Constructing a consistency evaluation model according to the consistency evaluation index and the state representation parameter; A consistency evaluation result of the target battery group is determined according to the consistency evaluation model and the consistency evaluation index; the consistency evaluation result includes a battery outlier condition and a battery degradation trend.

2. The battery consistency evaluation method according to claim 1, characterized in that: The acquiring target operating data of the target battery pack includes: Obtain battery operation data of the target battery pack in real time; The battery operation data is screened according to the consistency evaluation dimension, and the valid data segment corresponding to the consistency evaluation dimension is obtained as the target operation data; the consistency evaluation dimension includes at least one dimension of voltage, temperature, internal resistance, battery capacity, energy, state of charge, energy state and efficiency.

3. The battery consistency evaluation method according to claim 1, characterized in that: The consistency evaluation index includes a first evaluation index and a second evaluation index; wherein the first evaluation index includes the state characterization parameter range, the state characterization parameter standard deviation, and the state characterization parameter deviation coefficient, and the second evaluation index includes the state characterization parameter variation index; determining the consistency evaluation result of the target battery pack according to the consistency evaluation model and the consistency evaluation index includes: Based on the consistency evaluation model, according to the first evaluation index and the battery operation standard, obtaining the battery outlier status of each single battery in the target battery pack; Based on the consistency evaluation model, the battery degradation trend is determined according to the second evaluation indicator and historical operation data.

4. The battery consistency evaluation method according to claim 2, characterized in that: After determining the consistency evaluation result of the target battery pack according to the consistency evaluation model and the consistency evaluation index, the method further includes: determining abnormal batteries from the target battery pack according to the consistency evaluation result; Based on the consistency evaluation dimension, determining the consistency abnormality type of the abnormal battery; When the consistency abnormality type is a charge state abnormality and / or an energy state abnormality, generating a power replenishment and balancing maintenance instruction; When the consistency abnormality type is battery capacity abnormality, energy abnormality, temperature abnormality and / or internal resistance abnormality, a battery replacement maintenance instruction is generated.

5. The battery consistency evaluation method according to claim 4, characterized in that: The abnormal batteries include short-term abnormal batteries and long-term abnormal batteries; and determining abnormal batteries from the target battery pack according to the consistency evaluation result includes: Determining the outlier rate of each single battery in the target battery pack according to the battery outlier condition; Determine the single battery whose outlier rate is greater than a first threshold as the short-term abnormal battery; Determining a degradation rate of each single battery in the target battery pack according to the battery degradation trend; The single battery cell whose degradation rate is greater than a second threshold is correspondingly determined as the long-term abnormal battery cell.

6. The battery consistency evaluation method according to claim 1, characterized in that: After determining the consistency evaluation result of the target battery pack according to the consistency evaluation model and the consistency evaluation index, the method further includes: Acquire historical operating data of the target battery pack and establish a historical database; Based on the historical database, the consistency evaluation model is iteratively optimized.

7. A battery consistency evaluation system, characterized in that: include: A first acquisition module is used to acquire target operating data of a target battery pack; a second acquisition module, connected to the first acquisition module, for acquiring, based on the target operating data, a state characterizing parameter of each single battery in the target battery pack in an operating state; the state characterizing parameter comprising at least one of a voltage parameter, a temperature parameter, an internal resistance parameter, a battery capacity parameter, an energy parameter, a state of charge parameter, an energy state parameter, and an efficiency parameter; a first determining module, connected to the second acquiring module, for calculating a consistency evaluation index of the target battery pack based on the state characterizing parameter; the consistency evaluation index comprising at least one of a state characterizing parameter range, a state characterizing parameter standard deviation, a state characterizing parameter deviation coefficient, and a state characterizing parameter variation index; A model building module, configured to build a consistency evaluation model based on the consistency evaluation index and the state representation parameter; An evaluation module, connected to the first determination module and the model building module, is used to determine the consistency evaluation result of the target battery group based on the consistency evaluation model and the consistency evaluation index; the consistency evaluation result includes battery outlier status and battery degradation trend.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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