Battery state evaluation method and device, electronic equipment and storage medium

Abstract

The application discloses a battery state evaluation method and device, electronic equipment and storage medium, comprising: when receiving a battery product evaluation request, obtaining fault handling data, early warning data, SOH analysis data and working condition analysis data of the battery product to be evaluated, and determining a fault score, an early warning score, an SOH score and a working condition score of the battery product; using the fault score, the early warning score, the SOH score and the working condition score to determine a comprehensive score of the battery product; and determining the battery state of the battery product according to the comprehensive score. The fault score, the early warning score, the SOH score and the working condition score reflect the battery state from different angles, and the four types of scores are used for comprehensive scoring, the battery state of the battery product is evaluated according to the final comprehensive score, the problem product can be fully identified, the battery state can be represented from all aspects and multiple levels, and it is beneficial to investigate the risk product and reduce the after-sales cost.

Description

Battery status assessment methods, apparatus, electronic devices and storage media Technical Field

[0001] This invention relates to the field of battery state assessment technology, and more particularly to a battery state assessment method, apparatus, electronic device, and storage medium. Background Technology

[0002] As battery technology continues to upgrade, the application markets for passenger cars, commercial vehicles, and energy storage are expanding rapidly. At the same time, various battery problems are also emerging. Therefore, it is necessary to assess battery condition in order to identify and address problems promptly, preventing major accidents.

[0003] Existing battery status assessment methods include acquiring operational data of products equipped with batteries, such as charging and driving condition data, and assessing the battery status based on this data. However, this data under charging and discharging conditions is difficult to accurately reflect the true state of the power vehicle product. Therefore, the assessment scope of this battery assessment method is too limited. Summary of the Invention

[0004] This invention provides a battery state assessment method to address the problem that existing battery assessment methods have too limited an assessment scope and may not accurately reflect the true state of the vehicle product under a single charging and discharging condition.

[0005] In a first aspect, the present invention provides a battery state assessment method, comprising:

[0006] Obtain fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery products to be evaluated;

[0007] The fault score, early warning score, SOH score, and operating condition score of the battery product are determined based on the fault handling data, the early warning data, the SOH analysis data, and the operating condition analysis data, respectively.

[0008] The overall score of the battery product is determined using the fault score, the early warning score, the SOH score, and the operating condition score.

[0009] The battery status of the battery product is determined based on the comprehensive score.

[0010] In a second aspect, the present invention provides a battery state assessment device, comprising:

[0011] The data acquisition module is used to acquire fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery products to be evaluated.

[0012] The score determination module is used to determine the fault score, warning score, SOH score and operating condition score of the battery product based on the fault handling data, the early warning data, the SOH analysis data and the operating condition analysis data, respectively.

[0013] The comprehensive score calculation module is used to determine the comprehensive score of the battery product using the fault score, the early warning score, the SOH score, and the operating condition score;

[0014] A battery status determination module is used to determine the battery status of the battery product based on the comprehensive score.

[0015] Thirdly, the present invention provides an electronic device, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the battery state assessment method according to the first aspect of the present invention.

[0019] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the battery state assessment method described in the first aspect of the present invention.

[0020] The battery status assessment method provided in this invention acquires fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery product to be assessed. Based on these data, a fault score, early warning score, SOH score, and operating condition score are determined for the battery product, respectively. A comprehensive score is then calculated using these scores, and the battery status is determined based on this comprehensive score. The fault score, early warning score, SOH score, and operating condition score reflect the battery status from different perspectives. By using these four types of scores for a comprehensive assessment, the battery status of the product is evaluated. This method can effectively identify problematic products and represent the battery status comprehensively and at multiple levels, which is beneficial for identifying risky products and reducing after-sales costs.

[0021] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 is a flowchart of a battery state assessment method provided in Embodiment 1 of the present invention;

[0024] Figure 2 is a flowchart of a battery state assessment method provided in Embodiment 2 of the present invention;

[0025] Figure 3 is a schematic diagram of a time node provided in Embodiment 2 of the present invention;

[0026] Figure 4 is a system scoring flowchart provided in Embodiment 2 of the present invention;

[0027] Figure 5 is a schematic diagram of a battery state assessment device provided in Embodiment 3 of the present invention;

[0028] Figure 6 is a schematic diagram of the structure of the electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] Example 1

[0031] Figure 1 is a flowchart of a battery state assessment method provided in Embodiment 1 of the present invention. This embodiment is applicable to battery state assessment. The method can be executed by a battery state assessment device, which can be implemented in hardware and / or software and can be configured in an electronic device. As shown in Figure 1, the battery state assessment method includes:

[0032] S101. Obtain fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery product to be evaluated.

[0033] Upon receiving a request for battery product evaluation, the battery product to be evaluated can be identified.

[0034] Battery products can be vehicles, ships, containers, etc., at the system level. When a battery product evaluation request is received, the corresponding vehicle identification number (VIN), ship number, container number, etc., are received. Battery product evaluation requests can be sent by the user of the battery product or by the system's default batch for evaluating the battery status of market products. There can be one or multiple battery products to be evaluated, and different battery products are evaluated independently.

[0035] Each battery product can be equipped with a corresponding data storage device to record battery operation data during product operation. A mobile application can also be developed for each battery product, allowing users to provide feedback on the battery's operating status and other information via the app.

[0036] The data storage device can upload acquired data to the data platform. Users can set the data storage device to upload periodically, or upload battery operating data from the data storage device when they want to evaluate the battery status.

[0037] Regarding fault handling data, this data is collected when a battery product malfunctions and enters the after-sales department. The after-sales department inspects the battery, records the fault, the handling method, and the handling time, and uploads this information to the data platform. Of course, fault handling data inherent to the battery product itself can also be stored and uploaded by the battery product's onboard data storage device.

[0038] Warning data can include voltage warnings, temperature warnings, self-discharge warnings, insulation warnings, etc. During the operation of battery products, when a warning occurs, the data storage device can record this data as warning data.

[0039] Data on State of Health (SOH) analysis can include minimum SOH, SOH consistency, and SOH trend.

[0040] The operating condition analysis data mainly refers to data on the product status, such as data when the battery experiences overcharging, over-discharging, overcurrent, voltage difference, temperature difference, etc.

[0041] Acquire fault handling data, early warning data, SOH analysis data, and operating condition analysis data of battery products. Specifically, the received vehicle frame number, ship number, container number, etc. can be used as evaluation indexes, and the fault handling data, early warning data, SOH analysis data, and operating condition analysis data of battery products can be obtained from the data platform based on the evaluation indexes.

[0042] It should be noted that these evaluation indicators are generally interrelated and can influence each other. Therefore, it is more reasonable to evaluate the battery status of battery products based on the above comprehensive scores.

[0043] S102. Determine the fault score, early warning score, SOH score and operating condition score of the battery product based on fault handling data, early warning data, SOH analysis data and operating condition analysis data respectively.

[0044] Specifically, fault scores, early warning scores, SOH scores, and operating condition scores can be used as evaluation indicators, and fault handling data, early warning data, SOH analysis data, and operating condition analysis data can be used as battery operation data. For each evaluation indicator, the corresponding battery operation data is determined. The score of the evaluation indicator is determined based on the battery operation data and the preset scoring rules.

[0045] The maximum score for fault score, early warning score, SOH score and operating condition score is 100 points each, and points are deducted for each evaluation indicator according to the scoring rules.

[0046] For example, in fault scoring, it is determined whether a single-unit undervoltage situation has occurred; if so, 5 points are deducted. In warning scoring, it is determined whether an insulation warning has occurred; 5 points are deducted.

[0047] S103. The comprehensive score of the battery product is determined by fault scoring, early warning scoring, SOH scoring and operating condition scoring.

[0048] The fault score, early warning score, SOH score, and operating condition score are weighted and summed to obtain the overall score of the battery product. The expression for the overall score is as follows:

[0049]

[0050] Where S is the comprehensive score, S i As an evaluation indicator, a i For S i The weights are denoted by n, where n is the number of evaluation indicators. The evaluation indicators include fault score, early warning score, State of Health (SOH) score, and operating condition score.

[0051] The weights of the fault score, warning score, SOH score, and operating condition score can be preset. In one example of this invention, the weights of the fault score, SOH score, and operating condition score are 20%, and the weight of the warning score is 40%. The warning is a product status monitoring exercise conducted by the battery product developer based on the warning rules established for the product. It better reflects the product status at that time and the results are more accurate.

[0052] S104. Determine the battery status of the battery product based on the comprehensive score.

[0053] Specifically, the score range in which the comprehensive score is located can be determined according to a preset score range-battery status table, and the battery status corresponding to the score range can be used as the battery status of the battery product.

[0054] For example, the fractional range-battery status table is shown in the following table (Table 1).

[0055] Overall Score (x) Battery Status Evaluation: x≥80: Good battery status; 60<x<80: Fair battery status, require continued observation; x≤60: Poor battery status, requires maintenance. surface

[0056] So, when the overall score of battery product A is 85 points, the battery status of the battery product is: the battery status is good, the probability of battery failure is small, and the battery status can be checked again after a longer period of time.

[0057] When battery product B's overall score is 75, the battery status is: average. Continue to monitor the battery status and check it regularly.

[0058] When the overall score of battery product C is 55 points, the battery status of the battery product is: poor battery status, requiring maintenance. This can remind the user to repair or replace the battery in time, reduce maintenance costs, and prevent the battery status from deteriorating further, which could lead to product unusability or other serious consequences.

[0059] The battery status assessment method provided in this invention acquires fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery product to be assessed. Based on these data, a fault score, early warning score, SOH score, and operating condition score are determined for the battery product, respectively. A comprehensive score is then calculated using these scores, and the battery status is determined based on this comprehensive score. The fault score, early warning score, SOH score, and operating condition score reflect the battery status from different perspectives. By using these four types of scores for a comprehensive assessment, the battery status of the product is evaluated. This method can effectively identify problematic products and represent the battery status comprehensively and at multiple levels, which is beneficial for identifying risky products and reducing after-sales costs.

[0060] Example 2

[0061] Figure 2 is a flowchart of a battery state assessment method provided in Embodiment 2 of the present invention. This embodiment optimizes Embodiment 1 described above. As shown in Figure 2, the battery state assessment method includes:

[0062] S201. Upon receiving a request for battery product evaluation, determine the battery product to be evaluated.

[0063] Battery products can be systems such as vehicles, ships, and containers. When a battery product evaluation request is received, the corresponding vehicle identification number (VIN), ship number, and container number are received.

[0064] S202. For each battery product to be evaluated, obtain historical fault handling data from the data platform.

[0065] S203. Determine the start time based on the fault handling data. The start time is the start time for acquiring early warning data, SOH analysis data, and operating condition analysis data.

[0066] The fault handling data includes the fault handling method and the handling time. The start time is determined based on the fault handling data, including: determining whether battery replacement is involved in the handling method of the fault handling data; if so, the handling time after battery replacement is taken as the start time; if not, the target time point is taken as the start time. The target time point is the time point where the duration between the assessment date and the target time point is equal to the preset duration.

[0067] Generally, the start time for obtaining early warning data, SOH analysis data, and operating condition analysis data is based on market fault confirmation. Without historical fault data, there is no basis for determining the start time. Therefore, a preset duration is set here to determine and limit the time range for data acquisition. The preset duration can be 3 months, meaning fault handling data within 3 months prior to the evaluation date is acquired. On the one hand, this ensures a sufficient amount of data to reflect the product's battery status; on the other hand, a longer timeframe could result in a large data volume, which would be detrimental to system evaluation efficiency.

[0068] In an optional embodiment, if the interval between the start time of acquiring early warning data, SOH analysis data, and operating condition analysis data and the evaluation date is longer than a preset duration, to reduce the evaluation workload, the above three types of data within the preset duration before the evaluation date will be directly acquired for evaluation. That is, the target time point will be used as the start time, and the target time point will be the time point where the duration between the target time point and the evaluation date is equal to the preset duration. For example, as shown in Figure 3, which is a time node diagram, assuming the preset duration is 3 months, as shown in the time node diagram corresponding to A in Figure 3, the evaluation date is D1, the fault handling data processing method includes battery replacement, the battery replacement time is D2, and the date 3 months before the evaluation date is D3. D3 is earlier than D2, so the start time is D2. If, as shown in the time node diagram corresponding to B in Figure 3, D3 is later than D2, then the start time is D3. If, in the time node diagrams corresponding to A and B, the fault handling data processing method does not include battery replacement, then the start time is D3.

[0069] Battery replacement includes battery system replacement and battery module replacement. Battery system replacement means replacing the entire battery, for example, replacing battery A1 with battery B1. Battery modules are modules composed of cells connected in series and parallel. Battery module replacement means replacing some or all of the failed cells in the battery. After battery replacement, the data before replacement is no longer useful, and the fault score after replacement needs to be reset to full score.

[0070] S204. Obtain early warning data, SOH analysis data, and operating condition analysis data from the data platform from the start time to the assessment date.

[0071] In an optional embodiment, after acquiring the warning data, SOH analysis data, and operating condition analysis data from the data platform up to the evaluation date, the method further includes: determining the amount of warning data, SOH analysis data, and operating condition analysis data; if the amount of data is less than a preset amount, a target time point can be used as the start time, where the target time point is the time point with a duration equal to the evaluation date and a target duration greater than the preset duration; then, the step of acquiring the warning data, SOH analysis data, and operating condition analysis data from the data platform up to the evaluation date is executed again. That is, based on the original solution, the time range for acquiring warning data, SOH analysis data, and operating condition analysis data is expanded, increasing the amount of data. Of course, if the amount of data is less than the preset amount, the evaluator can also confirm the end of the battery status evaluation.

[0072] Specifically, when acquiring various data, the product name of the battery product is used as the evaluation index, and the corresponding data is retrieved from the data platform based on the evaluation index.

[0073] Obtaining additional data based on fault handling data allows for control over data validity, preventing the use of pre-replacement data for evaluation after battery replacement, which could lead to inaccurate assessment results.

[0074] S205. Determine the fault score, early warning score, SOH score and operating condition score of the battery product based on fault handling data, early warning data, SOH analysis data and operating condition analysis data respectively.

[0075] Specifically, fault score, early warning score, SOH score, and operating condition score are used as evaluation indicators, and fault handling data, early warning data, SOH analysis data, and operating condition analysis data are used as battery operation data. For each evaluation indicator, the corresponding battery operation data is determined. The score of the evaluation indicator is determined based on the battery operation data and the preset scoring rules.

[0076] The maximum score for each of the fault score, early warning score, SOH score, and operating condition score is 100 points. Points are deducted for each evaluation indicator according to the scoring rules, and the remaining score is calculated as the score for that evaluation indicator.

[0077] For example, in fault scoring, it is determined whether a single-unit undervoltage situation has occurred; if so, 5 points are deducted. In warning scoring, it is determined whether an insulation warning has occurred; 5 points are deducted.

[0078] For the SOH score, the evaluation indicators are minimum SOH, SOH consistency, and SOH trend. A deduction of 10 points is applied when the minimum SOH is <80% and the SOH consistency is >12%. Regarding the SOH trend, the SOH data is converted into a fitted curve, the slope is calculated, and points are deducted based on the slope.

[0079] S206. The fault score, early warning score, SOH score and operating condition score are weighted and summed to obtain the comprehensive score of the battery product.

[0080] It should be noted that the different evaluation indicators are interrelated, and there may be overlapping evaluation items among them. For example, both fault scoring and warning scoring can include undervoltage judgment. However, the four types of evaluation indicators focus on different aspects, which can amplify the characteristics of the battery in that aspect. Finally, the battery status is determined by combining the scores of the four types of evaluation indicators, so that the evaluation results can more fully reflect the actual condition of the battery.

[0081] S207. Determine the battery status of the battery product based on the comprehensive score.

[0082] Specifically, based on a preset score interval-battery status table, the score interval in which the comprehensive score is located is determined, and the battery status corresponding to the score interval is taken as the battery status of the battery product.

[0083] S208. For each battery product, obtain basic information about the battery product from the data platform.

[0084] Basic information includes project number, customer, cell model, cell type, rated capacity, product type, operating area, cumulative mileage, and operating years. This information reflects the battery's intrinsic information. For example, the battery model indicates the battery version; older versions may have poorer performance, while newer versions have better performance. Cumulative mileage and operating years reflect the battery's usage level. Higher cumulative mileage and operating years indicate higher battery usage, inevitably leading to battery aging and performance degradation. In this case, the scores for various evaluation indicators may be lower, but this is normal within the expected range. Conversely, lower cumulative mileage and operating years indicate lower battery usage, and the scores for various evaluation indicators should ideally be higher. Lower scores indicate an anomaly.

[0085] S209. Generate the first evaluation result of the battery product based on the basic information and battery status, and push it to the terminal where the quality management personnel are located.

[0086] After-sales product quality management personnel confirm the results of the first assessment and identify battery products that require after-sales processing.

[0087] S210: Generate a second evaluation result for the battery product based on the evaluation date, overall score, and battery status, and push it to the user's terminal.

[0088] The data platform can remotely push the second evaluation results to the user's terminal for scoring and display, improving the user's awareness of the product's status. For example, the results can be displayed to the user in a table, as shown in Table 2 below:

[0089]

[0090]

[0091] To systematically illustrate the battery state assessment process of the present invention, the following examples and Figure 4 are used for explanation. Figure 4 is a flowchart of the system scoring process.

[0092] S1, Input of product rating requirements.

[0093] Input the evaluation index and output the basic information of the evaluation object.

[0094] S2, Fault Analysis.

[0095] Input the evaluation index, output the fault handling score list, fault handling method, and handling time. Determine the time range (start time to evaluation date) for obtaining other data based on the fault handling method and handling time.

[0096] S3. Early warning information analysis.

[0097] Input the evaluation index and output a list of warning status scores.

[0098] S4 and SOH analysis.

[0099] Input the evaluation index, and output the SOH status score list and SOH change trend.

[0100] S5. Operating Condition Analysis.

[0101] Input the evaluation index and output the working condition analysis score list.

[0102] S6. Comprehensive scoring, output evaluation results.

[0103] Input the basic information of the evaluation object (battery product), the fault handling score list, the early warning score list, the SOH score list, and the SOH change trend and operating condition analysis score list. Output the evaluation results, which include single evaluation object score results and multi-evaluation object score results.

[0104] S7, rating result push after-sales management.

[0105] S8, rating results are pushed to users.

[0106] The battery state assessment method in this embodiment, when acquiring fault handling data, early warning data, SOH analysis data, and operating condition analysis data for battery products, retrieves fault handling data from the data platform for each battery product within a preset time period prior to the assessment date. Based on this fault handling data, a start time is determined, which is also the start time for acquiring early warning data, SOH analysis data, and operating condition analysis data. Then, early warning data, SOH analysis data, and operating condition analysis data from the start time to the assessment date are acquired from the data platform. This method allows for control over the validity of the data, preventing the use of data from before battery replacement for assessment after battery replacement, which could lead to inaccurate assessment results.

[0107] On the other hand, different evaluation indicators are interrelated, and there may be overlapping evaluation items among different indicators. For example, both fault scores and warning scores may include undervoltage judgment. However, the four types of evaluation indicators focus on different aspects, which can amplify the characteristics of the battery in that aspect. Finally, the scores of the four types of evaluation indicators are combined to determine the battery status, so that the evaluation results can more fully reflect the actual state of the battery.

[0108] Example 3

[0109] Figure 5 is a schematic diagram of a battery state assessment device provided in Embodiment 3 of the present invention. As shown in Figure 5, the battery state assessment device includes:

[0110] The data acquisition module 501 is used to acquire fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery product to be evaluated;

[0111] The score determination module 502 is used to determine the fault score, warning score, SOH score and operating condition score of the battery product based on the fault handling data, the warning data, the SOH analysis data and the operating condition analysis data, respectively.

[0112] The comprehensive score calculation module 503 is used to determine the comprehensive score of the battery product using the fault score, the early warning score, the SOH score, and the operating condition score;

[0113] The battery status determination module 504 is used to determine the battery status of the battery product based on the comprehensive score.

[0114] In an optional embodiment of the present invention, the data acquisition module 501 includes:

[0115] The fault handling data acquisition submodule is used to acquire historical fault handling data from the data platform for each battery product to be evaluated.

[0116] The start time determination submodule is used to determine the start time based on the fault handling data, wherein the start time is the start time for acquiring early warning data, SOH analysis data and operating condition analysis data;

[0117] Other data acquisition submodules are used to acquire early warning data, SOH analysis data, and operating condition analysis data from the data platform from the start time to the evaluation date.

[0118] Based on the above embodiments, the fault handling data includes the fault handling method and the handling time, and the start time determination submodule includes:

[0119] The processing method determination unit is used to determine whether battery replacement is involved in the processing method of the fault processing data; if so, the first unit executes the content determined by the execution start time; if not, the second unit executes the content determined by the execution start time.

[0120] The first unit determines the start time, which is used to take the processing time after battery replacement as the start time.

[0121] The second unit for determining the start time is used to take the target time point as the start time, wherein the target time point is the time point whose duration between the evaluation date and the target time point is equal to the preset duration.

[0122] In an optional embodiment of the present invention, the score determination module 502 includes:

[0123] The data classification submodule is used to use the fault score, the early warning score, the SOH score and the operating condition score as evaluation indicators, and the fault handling data, the early warning data, the SOH analysis data and the operating condition analysis data as battery operation data.

[0124] The battery operation data determination submodule is used to determine the corresponding battery operation data for each evaluation indicator;

[0125] The score calculation submodule is used to determine the score of the evaluation index based on the battery operation data and preset scoring rules.

[0126] In an optional embodiment of the present invention, the comprehensive score calculation module 503 includes:

[0127] The comprehensive score calculation submodule is used to perform a weighted summation of the fault score, the early warning score, the SOH score, and the operating condition score to obtain the comprehensive score of the battery product.

[0128] In an optional embodiment of the present invention, the battery state determination module 504 includes:

[0129] The score interval determination submodule is used to determine the score interval in which the comprehensive score belongs based on a preset score interval-battery status table;

[0130] The battery status determination submodule is used to determine the battery status corresponding to the score interval as the battery status of the battery product.

[0131] In an optional embodiment of the present invention, the battery state assessment device further includes:

[0132] The basic information acquisition module is used to acquire basic information about each battery product from the data platform.

[0133] The first module for pushing evaluation results is used to generate a first evaluation result of the battery product based on the basic information and the battery status, and push it to the terminal where the quality management personnel are located.

[0134] The second module for pushing evaluation results is used to generate a second evaluation result for the battery product based on the evaluation date, the overall score, and the battery status, and push it to the user's terminal where the battery product is located.

[0135] The battery state assessment device provided in this embodiment of the invention can execute the battery state assessment method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0136] Example 4

[0137] Figure 6 illustrates a schematic diagram of an electronic device 40 that can be used to implement embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0138] As shown in Figure 6, the electronic device 40 includes at least one processor 41 and a memory, such as a read-only memory (ROM) 42 or a random access memory (RAM) 43, communicatively connected to the at least one processor 41. The memory stores computer programs executable by the at least one processor. The processor 41 can perform various appropriate actions and processes based on the computer program stored in the ROM 42 or loaded into the RAM 43 from storage unit 48. The RAM 43 can also store various programs and data required for the operation of the electronic device 40. The processor 41, ROM 42, and RAM 43 are interconnected via a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0139] Multiple components in electronic device 40 are connected to I / O interface 45, including: input unit 46, such as keyboard, mouse, etc.; output unit 47, such as various types of monitors, speakers, etc.; storage unit 48, such as disk, optical disk, etc.; and communication unit 49, such as network card, modem, wireless transceiver, etc. Communication unit 49 allows electronic device 40 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0140] Processor 41 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 41 performs the various methods and processes described above, such as battery state assessment methods.

[0141] In some embodiments, the battery state assessment method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 40 via ROM 42 and / or communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the battery state assessment method described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the battery state assessment method by any other suitable means (e.g., by means of firmware).

[0142] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0143] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0144] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0145] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0146] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0147] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0148] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0149] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for assessing battery state, characterized in that, include: Obtain fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery products to be evaluated; The fault score, early warning score, SOH score, and operating condition score of the battery product are determined based on the fault handling data, the early warning data, the SOH analysis data, and the operating condition analysis data, respectively; the comprehensive score of the battery product is determined using the fault score, the early warning score, the SOH score, and the operating condition score. The battery status of the battery product is determined based on the comprehensive score. The process of acquiring fault handling data, early warning data, SOH analysis data, and operating condition analysis data for the battery products to be evaluated includes: acquiring historical fault handling data from a data platform for each battery product to be evaluated; determining a start time based on the fault handling data, wherein the start time is the start time for acquiring early warning data, SOH analysis data, and operating condition analysis data; acquiring early warning data, SOH analysis data, and operating condition analysis data from the data platform up to the evaluation date; the fault handling data includes fault handling methods and handling times, and determining the start time based on the fault handling data includes: determining whether battery replacement is involved in the handling methods of the fault handling data; if so, using the handling time after battery replacement as the start time; if not, using a target time point as the start time, wherein the target time point is a time point with a duration equal to a preset duration between the evaluation date and the target time point.

2. The battery state assessment method as described in claim 1, characterized in that, The step of determining the fault score, early warning score, SOH score, and operating condition score of the battery product based on the fault handling data, the early warning data, the SOH analysis data, and the operating condition analysis data includes: using the fault score, the early warning score, the SOH score, and the operating condition score as evaluation indicators; using the fault handling data, the early warning data, the SOH analysis data, and the operating condition analysis data as battery operating data; determining the corresponding battery operating data for each evaluation indicator; and determining the score of the evaluation indicator based on the battery operating data and preset scoring rules.

3. The battery state assessment method as described in claim 1, characterized in that, The step of determining the overall score of the battery product using the fault score, the early warning score, the SOH score, and the operating condition score includes: weighting and summing the fault score, the early warning score, the SOH score, and the operating condition score to obtain the overall score of the battery product.

4. The battery state assessment method as described in claim 1, characterized in that, The step of determining the battery status of the battery product based on the comprehensive score includes: determining the score interval in which the comprehensive score is located according to a preset score interval-battery status table; and taking the battery status corresponding to the score interval as the battery status of the battery product.

5. The battery state assessment method according to any one of claims 1-4, characterized in that, Also includes: For each of the battery products, obtain basic information about the battery product from the data platform; Based on the basic information and the battery status, a first evaluation result for the battery product is generated and pushed to the terminal of the quality management personnel; based on the evaluation date, the overall score, and the battery status, a second evaluation result for the battery product is generated and pushed to the terminal of the user of the battery product.

6. A battery state assessment device, characterized in that, include: The data acquisition module is used to acquire fault handling data, early warning data, SOH analysis data, and operating condition analysis data of the battery products to be evaluated. The score determination module is used to determine the fault score, warning score, SOH score and operating condition score of the battery product based on the fault handling data, the early warning data, the SOH analysis data and the operating condition analysis data, respectively. The comprehensive score calculation module is used to determine the comprehensive score of the battery product using the fault score, the early warning score, the SOH score, and the operating condition score; A battery status determination module is used to determine the battery status of the battery product based on the comprehensive score; the battery status assessment device is used to perform the battery status assessment method as described in any one of claims 1-5.

7. An electronic device, characterized in that, The electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the battery state assessment method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the battery state assessment method according to any one of claims 1-5.

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