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

Abstract

A battery capacity evaluation method and device, electronic equipment and storage medium, the battery capacity evaluation method comprises: obtaining capacity influence parameters of each battery to be evaluated; sampling in the each battery to be evaluated, and determining a detection battery for capacity detection; obtaining the battery capacity of the detection battery; based on the capacity influence parameters of the each battery to be evaluated and the battery capacity of the detection battery, determining the battery capacity of the battery which does not perform capacity detection in the each battery to be evaluated. The application can reduce power consumption in the battery capacity detection process, reduce energy waste, and improve battery capacity detection efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of batteries, in particular to a battery capacity evaluation method and device, electronic equipment and storage medium. BACKGROUND

[0002] In the battery production process, full inspection of battery capacity is required, that is, through the full charge and full discharge process of the battery, the battery capacity is confirmed. However, in the full charge and full discharge process, the energy conversion loss of the battery and the energy conversion rate of the test equipment are low, and the energy conversion rate is generally about 50%, so that the battery capacity detection process will cause waste of electricity and energy. SUMMARY

[0003] In view of the above, the present application provides a battery capacity evaluation method and device, electronic equipment and storage medium, aiming to reduce the waste of electricity and energy in the battery capacity detection process.

[0004] The present application provides a battery capacity evaluation method, comprising: obtaining capacity influencing parameters of each battery to be evaluated for capacity; sampling in the each battery to be evaluated for capacity to determine a detection battery for capacity detection; obtaining the battery capacity of the detection battery; and determining the battery capacity of a battery not subjected to capacity detection among the each battery to be evaluated for capacity based on the capacity influencing parameters of the each battery to be evaluated for capacity and the battery capacity of the detection battery.

[0005] By using the technical scheme, sampling is performed in the battery to obtain a detection battery, and the battery capacity of a battery not subjected to detection is determined based on the battery capacity of the detection battery and the capacity influencing parameters that can affect the battery capacity, so that full inspection of the battery capacity of all batteries is not required to obtain the battery capacity of all batteries, the battery capacity detection efficiency is improved, and the energy consumption for obtaining the battery capacity in the production process is saved.

[0006] In some embodiments, sampling in the each battery to be evaluated for capacity to determine a detection battery for capacity detection comprises: grouping the each battery to be evaluated for capacity based on the capacity influencing parameters of the each battery to be evaluated for capacity to obtain at least one battery capacity evaluation group; and sampling in the battery capacity evaluation group to determine a detection battery for capacity detection in each battery capacity evaluation group.

[0007] Since the capacity influencing parameters can affect the battery capacity, grouping according to the capacity influencing parameters can make the battery capacities of the batteries in the same group similar, and sampling in the battery capacity evaluation group can make the detection batteries obtained by sampling uniformly distributed according to the capacity influencing parameters, so that the detection batteries can reflect the overall battery capacity as much as possible, and the accuracy of battery capacity evaluation is improved.

[0008] In some embodiments, based on the capacity influencing parameters of the batteries to be capacity evaluated, the batteries to be capacity evaluated are grouped to obtain at least one battery capacity evaluation group, including: determining the parameter range of the capacity influencing parameters that match the respective battery capacity evaluation groups; based on the capacity influencing parameters of the batteries to be capacity evaluated, dividing the batteries to be capacity evaluated into battery capacity evaluation groups that match the parameter range.

[0009] By adopting this technical solution and grouping by parameter range, different battery capacity evaluation groups can be made to correspond to different battery capacity ranges as much as possible, so that the batteries tested in subsequent sampling can reflect the overall battery capacity.

[0010] In some embodiments, based on the capacity influencing parameters of the batteries to be capacity evaluated and the battery capacity of the test battery, the battery capacity of the batteries to be capacity evaluated that have not been capacity tested is determined, including: based on the capacity influencing parameters of each battery belonging to the same battery capacity evaluation group and the battery capacity of the test battery in the battery capacity evaluation group, the battery capacity of the batteries in the battery capacity evaluation group that have not been capacity tested is determined.

[0011] Since the capacities of the batteries in the same battery capacity evaluation group are similar, the battery capacity of the untested batteries in the same battery capacity evaluation group as the tested battery is obtained based on the battery capacity of the tested battery. This can improve the efficiency of obtaining the battery capacity of the untested batteries compared to determining the capacity of the untested batteries based on all the tested batteries to be capacity evaluated.

[0012] In some embodiments, based on the capacity influencing parameters of the batteries to be capacity evaluated and the battery capacity of the detection battery, the battery capacity of the batteries that have not undergone capacity detection among the batteries to be capacity evaluated is determined, including: based on the capacity influencing parameters of the batteries that have not undergone capacity detection and the capacity influencing parameters of the detection battery, searching for a target detection battery among the detection batteries, the capacity influencing parameters of the target detection battery and the capacity influencing parameters of the batteries that have not undergone capacity detection satisfy a preset parameter approximation condition; and determining the battery capacity of the battery that has not undergone capacity detection based on the battery capacity of the target detection battery.

[0013] The closer the battery capacity influencing parameters are, the closer the battery capacities are. Therefore, determining the battery capacity of the undetected battery through the target detected battery can improve the accuracy of determining the battery capacity of the undetected battery.

[0014] In some embodiments, determining the battery capacity of the battery which has not undergone capacity detection based on the battery capacity of the target detection battery comprises: taking the battery capacity of the target detection battery as the battery capacity of the battery which has not undergone capacity detection.

[0015] In some embodiments, the capacity influencing parameter comprises any one or combination of the following: the winding core weight of the battery, the liquid injection amount data of the battery, and the formation data of the battery.

[0016] Embodiments of the present application also provide a battery capacity evaluation device, comprising: an acquisition module configured to acquire capacity influencing parameters of each battery to be evaluated for capacity; a sampling module configured to sample from the each battery to be evaluated for capacity to determine a detection battery for capacity detection; and a detection module configured to acquire the battery capacity of the detection battery, and to determine the battery capacity of a battery which has not undergone capacity detection from the each battery to be evaluated for capacity based on the capacity influencing parameters of the each battery to be evaluated for capacity and the battery capacity of the detection battery.

[0017] Embodiments of the present application also provide an electronic device, comprising a processor and a memory, wherein the memory is configured to store instructions, and the processor is configured to invoke the instructions in the memory to cause the electronic device to perform the battery capacity evaluation method described above.

[0018] Embodiments of the present application also provide a computer readable storage medium storing computer instructions, which, when executed on an electronic device, cause the electronic device to perform the battery capacity evaluation method described above. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 A step flowchart of a battery capacity evaluation method according to an embodiment of the present application;

[0020] Figure 2 A step flowchart of a battery capacity evaluation method according to another embodiment of the present application;

[0021] Figure 3 A sub-step flowchart of step 104 according to an embodiment of the present application;

[0022] Figure 4 A step flowchart of a battery capacity evaluation method according to another embodiment of the present application;

[0023] Figure 5 A structural schematic diagram of battery capacity evaluation according to an embodiment of the present application;

[0024] Figure 6 A structural schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to more clearly understand the above objectives, features and advantages of the present application, the following describes in detail the present application with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0026] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. The described embodiments are merely part of the embodiments of the present application, but not all the embodiments.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description herein is for describing specific embodiments only and is not intended to be limiting of the present application.

[0028] It is further noted that the terms "comprise", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0029] In the present application, "at least one" means one or more, and "multiple" means two or more than two. The "and / or" describes the relationship between the associated objects, which means that there can be three relationships, for example, A and / or B can represent the following three cases: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. The terms "first", "second", "third", "fourth" and the like (if any) in the specification and claims of the present application and the drawings are used to distinguish similar objects, and are not used to describe a specific order or sequence.

[0030] In the embodiments of the present application, the words "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Rather, the use of the words "exemplary" or "for example" is intended to present related concepts in a concrete manner.

[0031] The battery capacity evaluation method of the present application can be applied in one or more electronic devices. The electronic device is a device capable of automatically performing numerical calculation and / or information processing according to pre-set or stored instructions, and the hardware thereof includes but is not limited to a processor, a microprogrammed control unit (MCU), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), a digital signal processor (DSP), an embedded device, etc. The electronic device can be a portable electronic device (such as a mobile phone, a tablet computer), a personal computer, a server, etc.

[0032] Figure 1 is a step flow chart of an embodiment of the battery capacity evaluation method of the present application. The order of the steps in the flow chart can be changed according to different needs, and some steps can be omitted.

[0033] Referring to Figure 1 , the battery capacity evaluation method can include the following steps.

[0034] Step 101, obtaining capacity influencing parameters of each battery to be evaluated for capacity.

[0035] The battery to be evaluated for capacity can be a lithium ion battery, such as a lithium iron phosphate battery, but is not limited thereto, and the type of the battery is not limited in the present application.

[0036] The capacity influencing parameter is data that influences the capacity of the battery, for example, the capacity influencing parameter can include any one or a combination of the following: the winding core weight of the battery, the liquid injection amount data of the battery, the formation data of the battery, but is not limited thereto.

[0037] Among them, the winding core weight of the battery and the liquid injection amount of the battery can be accurate to 0.1g, and in actual application process, the data accuracy requirement can be set to, for example, the winding core weight and the liquid injection amount data can also be accurate to 1g, or 0.01g, and the present application does not limit this.

[0038] The liquid injection amount data of the battery is data representing the weight of the liquid injection.

[0039] The battery formation is a process of activating the internal positive and negative materials of the battery and improving the overall performance of the battery after the battery is manufactured through a certain charging and discharging method. The formation data of the battery is the charging and discharging data generated during the battery formation process, such as the charging capacity and charging voltage of each charging and discharging.

[0040] For example, the formation data of the battery can include the first charge capacity, the first charge voltage, the second charge capacity, the second charge voltage, the third charge capacity, and the third charge voltage. The charge capacity can be accurate to 0.1 mAh, and the charge voltage can be accurate to 0.1 mV.

[0041] The values of the capacity influencing parameters such as the core weight, the liquid injection amount data, and the formation data are within a certain range, and the value range of the capacity influencing parameter can be represented by the extreme value range of the capacity influencing parameter. The minimum endpoint value in the extreme value range is equal to the ratio of the minimum value of the capacity influencing parameter to the preset reference value, and the maximum endpoint value in the extreme value range is equal to the ratio of the maximum value of the capacity influencing parameter to the preset reference value.

[0042] For example, the extreme value range of the core weight is 0.2% to 1%, assuming that the preset reference value corresponding to the core weight is 1000 g, the minimum value of the core weight is 0.2%*1000 g, and the maximum value of the core weight is 1%*1000 g. The extreme value range of the liquid injection weight is 0.5% to 1%, the extreme value range of the charge capacity of the formation is 0.5% to 1%, and the extreme value range of the formation voltage is 0.1% to 0.2%, but not limited thereto.

[0043] The manufacturing execution system (MES) can collect the weight data of each core, the code of each battery and the core barcode of the battery, the code of each battery and the liquid injection amount data of the battery, and the code of each battery and the formation data of the battery. The electronic device can find the battery capacity influencing parameters of each battery to be evaluated based on the MES system.

[0044] Step 102, sampling in each battery to be evaluated for capacity, determining a detection battery for capacity detection.

[0045] In some embodiments, random sampling can be performed in each battery to be evaluated for capacity. For example, the electronic device stores the battery codes of each battery to be evaluated for capacity, and randomly samples based on the battery codes, outputs the sampled battery codes, and the battery corresponding to the sampled battery codes is the detection battery.

[0046] However, due to the randomness of random sampling, it may be difficult for the sampled detection battery to reflect the overall battery capacity.

[0047] In view of this, in other embodiments, step 102 can include grouping each battery to be evaluated for capacity based on the capacity influencing parameters of each battery to be evaluated for capacity to obtain at least one battery capacity evaluation group; and sampling in the battery capacity evaluation group to determine a detection battery for capacity detection in each battery capacity evaluation group.

[0048] Since the capacity influencing parameter can affect the battery capacity, grouping based on the capacity influencing parameter and sampling in the battery capacity evaluation group can make the sampled detection batteries uniformly distributed in the capacity influencing parameter, and thus make the detection batteries as a whole reflect the battery capacity of each battery to be evaluated, thereby improving the accuracy of the battery capacity evaluation.

[0049] For example, referring to FIG. 1, step 102 can include: Figure 2

[0050] Step 1021, grouping each battery to be evaluated in terms of the capacity influencing parameter of each battery to be evaluated, to obtain at least one battery capacity evaluation group.

[0051] The capacity influencing parameters of the batteries in the same battery capacity evaluation group satisfy the parameter grouping condition corresponding to the battery capacity evaluation group. The parameter grouping condition can be set according to actual application requirements.

[0052] For example, each battery capacity evaluation group corresponds to a standard capacity influencing parameter used for grouping, and the parameter grouping condition can be set as the difference value between the capacity influencing parameter of each battery in the same battery capacity evaluation group and the standard capacity influencing parameter being less than a preset threshold, or the similarity being higher than a preset threshold. That is, if the difference value between the capacity influencing parameter of a certain battery and the standard capacity influencing parameter is less than a preset threshold, or the similarity is higher than a preset threshold, the battery belongs to the battery capacity evaluation group corresponding to the standard capacity influencing parameter.

[0053] For another example, the parameter grouping condition can be set as the similarity between the capacity influencing parameters of each two batteries in the same battery capacity evaluation group being higher than a preset threshold, or the difference value being less than a preset threshold.

[0054] In some other embodiments, the parameter grouping condition can be set as the capacity influencing parameters of each battery in the same battery capacity evaluation group being within the parameter range of the matching capacity influencing parameter of the battery capacity evaluation group, that is, step 1021 can include: the electronic device determining the parameter range of the matching capacity influencing parameter of each battery capacity evaluation group; and grouping the batteries to be evaluated into the battery capacity evaluation group matching the parameter range based on the capacity influencing parameters of the batteries to be evaluated.

[0055] In this embodiment, the parameter range of the matching capacity influencing parameter of each battery capacity evaluation group can be set according to actual requirements, which is not limited in this embodiment.

[0056] ​For example, the capacity impact parameter range of the battery capacity evaluation group group 1 can be set as follows: the range of the winding core weight is [w1, w2]; the range of the liquid injection amount data is [w3, w4]; the range of the first charge capacity in the battery formation data is [c1, c2], the range of the first charge voltage is [v1, v2], the range of the second charge capacity is [c3, c4], the range of the second charge voltage is [v3, v4], the range of the third charge capacity is [c5, c6], and the range of the third charge voltage is [v5, v6]. If the capacity impact parameter of a certain battery falls within the above range, the battery belongs to the capacity capacity evaluation group group 1.

[0057] Step 1022, sampling in the battery capacity evaluation group to determine the detection battery for capacity detection in each battery capacity evaluation group.

[0058] The number of detection batteries sampled in each battery capacity evaluation group can be set according to requirements. For example, a sampling ratio can be set, and the total number of batteries in the battery capacity evaluation group is multiplied by the sampling ratio to obtain the number of detection batteries sampled from the battery capacity evaluation group.

[0059] The sampling ratio can be set according to actual application requirements. The higher the sampling ratio, the more accurate the subsequent battery capacity evaluation, the lower the sampling ratio, the fewer the number of detection batteries, and the less the energy consumption in the battery capacity detection process. For example, the sampling ratio can be set to 30% to 50%. The sampling ratio in this interval can balance the accuracy of battery capacity evaluation and the energy consumption of battery capacity detection. However, in actual application, the sampling ratio can be higher than 50% to ensure the accuracy of battery capacity evaluation, or the sampling ratio can be lower than 30% to reduce detection energy consumption.

[0060] After sampling, the detection battery in the same battery capacity evaluation group for capacity detection can be marked as a class I battery, and the battery in the battery capacity evaluation group that has not been subjected to capacity detection (i.e., the battery in the battery capacity evaluation group other than the detection battery) can be marked as a class II battery.

[0061] Step 103, obtaining the battery capacity of the detection battery.

[0062] For example, after the detection battery is extracted, the capacity testing of the full charge and full discharge full process can be performed on the detection battery, i.e., the class I battery, and the charge amount is adjusted to detect the battery capacity, to obtain the capacity of the detection battery, and the capacity of the detection battery is input to the electronic device; the charge amount of the class II battery is adjusted.

[0063] Step 104, determining the battery capacity of the battery that has not been subjected to capacity detection in the battery to be subjected to capacity evaluation based on the capacity impact parameter of the battery to be subjected to capacity evaluation and the battery capacity of the detection battery.

[0064] That is, based on the capacity impact parameters of the batteries to be evaluated and the battery capacities of the detected batteries, the battery capacities of the remaining batteries other than the detected batteries in the batteries to be evaluated are determined.

[0065] In some embodiments, the reference Figure 3 As shown in FIG. 1, step 104 can include:

[0066] Step 301, based on the capacity impact parameters of the battery not subjected to capacity detection and the capacity impact parameters of the detected batteries, finding a target detected battery in the detected batteries.

[0067] Wherein the capacity impact parameter of the target detected battery and the capacity impact parameter of the battery not subjected to capacity detection satisfy a preset parameter approximation condition.

[0068] The preset parameter approximation condition can be set according to actual needs, for example, in each detected battery, if the capacity impact parameter of a certain detected battery is closest to the capacity impact parameter of the battery not subjected to capacity detection, then the detected battery is the target detected battery, but not limited thereto.

[0069] Step 302, based on the battery capacity of the target detected battery, determining the battery capacity of the battery not subjected to capacity detection.

[0070] In some embodiments, step 302 can include: taking the battery capacity of the target detected battery as the battery capacity of the battery not subjected to capacity detection.

[0071] In other embodiments, step 302 can include: determining the difference value between the capacity impact parameter of the target detected battery and the capacity impact parameter of the battery not subjected to capacity detection, for example, the difference value between the capacity impact parameter of the target detected battery and the capacity impact parameter of the battery not subjected to capacity detection can be taken as the difference value, then based on the difference value, a matched battery capacity correction value is determined, for example, the electronic device stores a matching relationship between the difference value and the battery capacity correction value, based on the matching relationship, a matched battery capacity correction value is determined, the battery capacity correction value is added to the battery capacity of the target detected battery to obtain the battery capacity of the battery not subjected to capacity detection.

[0072] The closer the capacity impact parameters are, the closer the battery capacities are, therefore, by determining the battery capacity of the battery not subjected to capacity detection through the target detected battery, the accuracy of the capacity determination of the battery not subjected to capacity detection can be improved.

[0073] Since the number of the detected batteries obtained by sampling can be large, in the above embodiment, if the capacity influence parameter of the battery which has not undergone capacity detection is compared with the capacity influence parameter of each detected battery to obtain the target detected battery, the searching efficiency of the target detected battery can be low, and thus the acquisition efficiency of the battery capacity of the battery which has not undergone capacity detection can be low.

[0074] In view of this, the present application proposes another embodiment, in which step 104 can include: determining the battery capacity of the battery which has not undergone capacity detection in the battery capacity evaluation group based on the capacity influence parameter of each battery belonging to the same battery capacity evaluation group and the battery capacity of the detected battery.

[0075] Since the battery capacities of the batteries in the same battery capacity evaluation group are similar, in the present embodiment, the battery capacity of the undetected battery in the same battery capacity evaluation group as the detected battery is obtained based on the battery capacity of the detected battery, which can improve the acquisition efficiency of the battery capacity of the undetected battery compared with determining the capacity of the undetected battery based on all the detected batteries which are to undergo capacity evaluation.

[0076] Further, referring to FIG. 1, for each battery capacity evaluation group, the following steps can be performed: Figure 4

[0077] Step 1041: finding a target detected battery in the detected batteries of the battery capacity evaluation group based on the capacity influence parameter of the battery which has not undergone capacity detection and the capacity influence parameter of the detected battery in the battery capacity evaluation group.

[0078] Wherein the capacity influence parameter of the target detected battery satisfies a preset parameter approximation condition with the capacity influence parameter of the battery which has not undergone capacity detection.

[0079] Step 1042: determining the battery capacity of the battery which has not undergone capacity detection in the battery capacity evaluation group based on the target detected battery.

[0080] For example, the target detected battery is taken as the battery capacity of the battery which has not undergone capacity detection in the battery capacity evaluation group.

[0081] Further, the above steps can be implemented in the following manner, but are not limited thereto: traversing the battery which has not undergone capacity detection in a certain battery capacity evaluation group, determining the target detected battery which currently satisfies the preset parameter approximation condition based on the capacity influence parameter of the currently traversed battery and the capacity influence parameter of the detected battery in the battery capacity evaluation group, and determining the battery capacity of the currently traversed battery based on the battery capacity of the target detected battery until the traversal is completed to obtain the battery capacity of the battery which has not undergone capacity detection in the battery capacity evaluation group.

[0082] ​Compared with detecting each battery in each battery to be capacity evaluated as a range searching target detection battery, the embodiment searches for a target detection battery in the same battery capacity evaluation group, can narrow the searching range of the target detection battery, can improve the searching efficiency of the target detection battery, and thus improves the acquisition efficiency of the battery capacity of the battery not subjected to capacity detection.

[0083] The embodiment of the application can reduce the energy consumption in the battery manufacturing process and reduce carbon emissions by analyzing and collecting the key data, i.e., the capacity impact parameters, in the battery manufacturing process, performing full capacity testing on part of the batteries, and performing capacity evaluation on another part of the batteries according to the approximate relationship of the capacity impact parameters.

[0084] Based on the same idea as the battery capacity evaluation method in the above embodiment, the application further provides a battery capacity evaluation device, which can be used to execute the above battery capacity evaluation method. For ease of illustration, only the parts related to the embodiment of the application are shown in the structural schematic diagram of the battery capacity evaluation device embodiment, and the person skilled in the art can understand that the diagrammed structure does not constitute a limitation on the device, and the device can include more or fewer components than the diagram, or combine certain components, or different component arrangements.

[0085] As shown in Figure 5 the battery capacity evaluation device includes an acquisition module 501, a sampling module 502, and a detection module 503. In some embodiments, the above modules can be programmable software instructions stored in a memory and executable by a processor. It can be understood that in other embodiments, the above modules can also be program instructions or firmware fixed in the processor.

[0086] The acquisition module 501 is configured to acquire the capacity impact parameters of each battery to be capacity evaluated.

[0087] The sampling module 502 is configured to sample in the each battery to be capacity evaluated to determine a detection battery subjected to capacity detection.

[0088] The detection module 503 is configured to acquire the battery capacity of the detection battery, and determine the battery capacity of the battery not subjected to capacity detection in the each battery to be capacity evaluated based on the capacity impact parameters of the each battery to be capacity evaluated and the battery capacity of the detection battery.

[0089] Figure 6 The schematic diagram of an embodiment of the electronic device of the application.

[0090] The electronic device 100 includes a memory 20, a processor 30, and a computer program 40 stored in the memory 20 and executable on the processor 30. The processor 30 implements the steps in the above battery capacity evaluation method embodiments when executing the computer program 40, for example Figure 1 the steps 101-104 shown in FIG. 1, or Figure 2 the steps 101, 1021, 1022, 103, and 104 shown in FIG. 1, or Figure 4 the steps 101, 1021, 1022, 103, 1041, and 1042 shown in FIG. 1.

[0091] By way of example, the computer program 40 can also be segmented into one or more modules / units, which are stored in the memory 20 and executed by the processor 30. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 40 in the electronic device 100. For example, the computer program 40 can be segmented into Figure 5 the acquisition module 501, the sampling module 502, and the detection module 503 shown in FIG. 5.

[0092] Those skilled in the art can understand that the schematic diagram is only an example of the electronic device 100 and does not constitute a limitation on the electronic device 100, which can include more or fewer components than shown in the diagram, or combine certain components, or different components, for example, the electronic device 100 can also include an input / output device, a network access device, a bus, etc.

[0093] The processor 30 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, a single-chip computer, or the processor 30 can also be any conventional processor.

[0094] The memory 20 can be used to store a computer program 40 and / or modules / units, and the processor 30 realizes various functions of the electronic device 100 by running or executing the computer program and / or modules / units stored in the memory 20, and calling data stored in the memory 20. The memory 20 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playing function, an image playing function, etc.), and the like; and the data storage area can store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-volatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0095] The modules / units integrated in the electronic device 100, if implemented in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be implemented by a computer program instructing related hardware to complete, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0096] In several embodiments provided in the present application, it should be understood that the disclosed electronic device and method can be implemented in other ways. For example, the above-described electronic device embodiments are only illustrative, for example, the division of the units is only a logical function division, and another division mode can be used in actual implementation.

[0097] In addition, each of the function units in each of the embodiments of the present application can be integrated in the same processing unit, or each unit can be physically present separately, or two or more units can be integrated in the same unit. The integrated unit can be realized in the form of hardware or in the form of a hardware plus software function module.

[0098] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered as exemplary and non-limiting in any respect. In addition, it is obvious that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. The plurality of units or electronic devices stated in the electronic device claims can also be realized by the same unit or electronic device through software or hardware. The words "first", "second" and the like are used to indicate names, and do not indicate any particular order.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit the present application. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A battery capacity evaluation method, characterized in that: The method comprises: Obtaining capacity-influencing parameters of each battery to be evaluated, the capacity-influencing parameters including the battery's core weight, injection volume data, and formation data; Sampling the batteries to be capacity evaluated to determine a test battery for capacity testing; Obtaining the battery capacity of the detection battery; Determining the battery capacity of the batteries to be capacity evaluated that have not undergone capacity testing based on the capacity influencing parameters of the batteries to be capacity evaluated and the battery capacity of the tested battery; The step of sampling the batteries to be capacity evaluated to determine a test battery for capacity testing includes: Grouping the batteries to be capacity evaluated based on the capacity influencing parameters of the batteries to be capacity evaluated to obtain at least one battery capacity evaluation group; Sampling the battery capacity evaluation groups to determine test batteries for capacity testing in each battery capacity evaluation group; The determining, based on the capacity influencing parameters of the batteries to be capacity evaluated and the battery capacity of the tested battery, the battery capacity of the batteries to be capacity evaluated that have not undergone capacity testing, includes: The battery capacity of the batteries in the battery capacity evaluation group that have not undergone capacity detection is determined based on the capacity influencing parameters of the batteries in the same battery capacity evaluation group and the battery capacity of the detected batteries in the battery capacity evaluation group.

2. The battery capacity evaluation method according to claim 1, wherein: The step of grouping the batteries to be capacity evaluated based on the capacity influencing parameters of the batteries to be capacity evaluated to obtain at least one battery capacity evaluation group includes: Determining parameter ranges of capacity influencing parameters matched by each battery capacity assessment group; Based on the capacity-influencing parameters of the batteries to be capacity evaluated, the batteries to be capacity evaluated are divided into battery capacity evaluation groups whose parameter ranges match.

3. The battery capacity evaluation method according to claim 1, wherein: The determining, based on the capacity influencing parameters of the batteries in the same battery capacity evaluation group and the battery capacities of the batteries tested in the battery capacity evaluation group, of the batteries in the battery capacity evaluation group that have not undergone capacity testing comprises: Based on the capacity-influencing parameters of the batteries that have not undergone capacity detection in the battery capacity evaluation group and the capacity-influencing parameters of the detection batteries in the battery capacity evaluation group, searching for a target detection battery among the detection batteries in the battery capacity evaluation group; the capacity-influencing parameters of the target detection battery and the capacity-influencing parameters of the batteries that have not undergone capacity detection satisfy a preset parameter approximation condition; The battery capacity of the battery that has not undergone capacity detection in the battery capacity evaluation group is determined based on the battery capacity of the target detection battery.

4. The battery capacity evaluation method according to claim 3, wherein: The determining, based on the battery capacity of the target detection battery, the battery capacity of the battery that has not undergone capacity detection in the battery capacity evaluation group includes: The battery capacity of the target detection battery is used as the battery capacity of the batteries in the battery capacity evaluation group that have not undergone capacity detection.

5. A battery capacity evaluation device, characterized in that: include: An acquisition module, configured to acquire capacity-influencing parameters of each battery to be evaluated, wherein the capacity-influencing parameters include the core weight, injection volume data, and formation data of the battery; a sampling module, configured to sample the batteries to be capacity evaluated and determine a test battery for capacity testing; a detection module, configured to obtain the battery capacity of the detection battery, and to determine the battery capacity of batteries that have not undergone capacity detection among the batteries to be capacity evaluated based on the capacity influencing parameters of the batteries to be capacity evaluated and the battery capacity of the detection battery; The sampling module samples the batteries to be capacity evaluated to determine a test battery for capacity testing, including: Grouping the batteries to be capacity evaluated based on the capacity influencing parameters of the batteries to be capacity evaluated to obtain at least one battery capacity evaluation group; Sampling the battery capacity evaluation groups to determine test batteries for capacity testing in each battery capacity evaluation group; The detection module determines the battery capacity of the batteries to be capacity evaluated that have not undergone capacity detection, based on the capacity influencing parameters of the batteries to be capacity evaluated and the battery capacity of the detected battery, including: The battery capacity of the batteries in the battery capacity evaluation group that have not undergone capacity detection is determined based on the capacity influencing parameters of the batteries in the same battery capacity evaluation group and the battery capacity of the detected batteries in the battery capacity evaluation group.

6. An electronic device comprising a processor and a memory, characterized in that: The memory is used to store instructions, and the processor is used to call the instructions in the memory, so that the electronic device executes the battery capacity evaluation method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, which, when executed on an electronic device, enable the electronic device to perform the battery capacity evaluation method according to any one of claims 1 to 4.

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