A battery capacity testing method, apparatus, electronic device, and storage medium
By acquiring and correcting battery capacity and temperature data, the problem of battery inconsistencies in lithium battery capacity testing was solved, improving the accuracy and consistency of battery capacity testing.
Patent Information
- Application Number
- CN202210645970.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-06-08
- Publication Date
- 2026-03-06
- Estimated Expiration
- 2042-06-08
AI Technical Summary
In existing technologies, during the capacity grading test of lithium batteries, differences in capacity, voltage, and internal resistance between batteries lead to inaccurate sorting and affect battery consistency.
By acquiring the battery capacity grading test value, the battery temperature measurement value, the battery capacity correction coefficient, and the battery temperature correction coefficient, the actual battery capacity value is determined by data fitting, thereby reducing the deviation of the charging and discharging current and temperature from the test value and improving the test accuracy.
It enables more accurate battery capacity testing, improves the consistency of battery sorting, and reduces testing errors.
Smart Images

Figure CN114966439B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of battery technology, and in particular to a battery capacity testing method, apparatus, electronic device, and storage medium. Background Technology
[0002] The manufacturing process of lithium batteries is complex, including slurry preparation, coating, die-cutting, assembly, formation, and capacity testing. Among these, capacity testing is an indispensable step in lithium battery manufacturing, playing an irreplaceable role in the final sorting of batteries. During the quality control stage of production, key data such as capacity, voltage, and internal resistance need to be analyzed to screen out batteries with good correlations, ensuring that batteries within the same batch are as consistent as possible.
[0003] Although current battery manufacturing processes have reduced the differences between individual cells, there are still differences in internal resistance, capacity, voltage, and other parameters between individual cells.
[0004] In summary, accurately determining the battery capacity during capacity testing helps in accurate battery sorting, ensuring the consistency of battery specifications. Summary of the Invention
[0005] This invention provides a battery capacity testing method, apparatus, electronic device, and storage medium to improve the accuracy of the battery capacity determined during capacity testing.
[0006] According to one aspect of the present invention, a battery capacity testing method is provided, comprising:
[0007] Obtain the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, and the battery temperature correction factor;
[0008] The actual battery capacity is determined based on the battery capacity test value, the battery temperature measurement value, the battery capacity correction coefficient, and the battery temperature correction coefficient.
[0009] The actual battery capacity value is used as the battery capacity test result for the battery capacity test.
[0010] Optionally, obtaining the battery capacity correction factor and the battery temperature correction factor includes:
[0011] Acquire the first battery capacity test value dataset, the first battery temperature measurement value dataset, and the battery capacity preset value;
[0012] The first battery capacity test dataset and the first battery temperature measurement dataset are used as training samples, and the preset battery capacity value is used as the training target battery capacity value.
[0013] Using the first battery capacity test dataset, the first battery temperature measurement dataset, and the preset battery capacity value, the battery capacity correction coefficient and the battery temperature correction coefficient are obtained through data fitting.
[0014] Optionally, determining the preset value of the battery capacity includes:
[0015] The battery is subjected to a capacity test using a charging current of 0.33C, 0.5C, or 1C, and the capacity test results are used as the preset battery capacity value.
[0016] Optionally, when performing capacity testing on the battery using a charging current of 0.33C, 0.5C, or 1C, the ambient temperature should be controlled at 25 degrees Celsius.
[0017] Optionally, obtain the second battery capacity test value dataset and the second capacity test battery temperature measurement value dataset;
[0018] The second battery capacity test value dataset and the second capacity test battery temperature measurement value dataset are used as verification data.
[0019] Using the second battery capacity grading test dataset, the second capacity grading test battery temperature measurement dataset, and the battery capacity preset value, it is determined whether the battery capacity correction coefficient and the battery temperature correction coefficient meet the set accuracy.
[0020] Optionally, if the difference between the capacitor capacity calculated using the battery capacity correction coefficient, the battery temperature correction coefficient, the second battery capacity test value dataset, and the second capacity test battery temperature measurement value dataset and the preset battery capacity value is less than a set difference, then the battery capacity correction coefficient and the battery temperature correction coefficient are determined to meet the set accuracy.
[0021] Optionally, the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, the battery temperature correction factor, and the actual battery capacity value satisfy the following relationship:
[0022] C = K1C1 + K2T
[0023] In the formula, C is the actual value of battery capacity, C1 is the battery capacity test value, T is the battery temperature measurement value during the capacity test, K1 is the battery capacity correction coefficient, and K2 is the battery temperature correction coefficient.
[0024] According to another aspect of the present invention, a battery capacity testing apparatus is provided, comprising: a capacity testing unit, the capacity testing unit being used for:
[0025] Obtain the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, and the battery temperature correction factor;
[0026] The actual battery capacity is determined based on the battery capacity test value, the battery temperature measurement value, the battery capacity correction coefficient, and the battery temperature correction coefficient.
[0027] The actual battery capacity value is used as the battery capacity test result for the battery capacity test.
[0028] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:
[0029] 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 capacity testing method according to any embodiment of the present invention.
[0030] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the battery capacity testing method according to any embodiment of the present invention.
[0031] Compared with the prior art, the beneficial effects of the present invention are as follows: When determining the battery capacity using the battery capacity testing method proposed in this invention, the battery capacity test value and the battery temperature measurement value during the actual capacity testing are obtained. The battery capacity test value is corrected by a battery capacity correction coefficient to reduce the deviation of the battery capacity test value caused by the difference between the charging and discharging current and the standard test current. The battery temperature measurement value is corrected by a battery temperature correction coefficient to reduce the deviation of the test temperature on the battery capacity test value. The actual capacity of the battery is obtained by the corrected battery capacity test value and the corrected battery temperature measurement value, ultimately achieving the goal of improving the accuracy of battery capacity testing.
[0032] 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
[0033] 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.
[0034] Figure 1 This is a flowchart of the battery capacity testing method in the embodiment;
[0035] Figure 2 This is a flowchart of another battery capacity testing method in the embodiment;
[0036] Figure 3 This is a schematic diagram of the structure of an electronic device that implements the battery capacity testing method of this invention. Detailed Implementation
[0037] 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 of the present invention. 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.
[0038] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0039] Example 1
[0040] Figure 1 This is a flowchart of the battery capacity testing method in the embodiment, for reference. Figure 1 The method includes:
[0041] S101. Obtain the battery capacity test value, the battery temperature measurement value, the battery capacity correction factor, and the battery temperature correction factor.
[0042] For example, in this embodiment, the battery capacity grading test value is used to represent the measured value of the battery capacity obtained after performing a grading test on the battery in an actual test environment.
[0043] For example, in this embodiment, in a real test environment, a capacity testing cabinet can be used to perform capacity testing on the battery, and the measured value of the battery capacity can be determined through the capacity testing cabinet.
[0044] For example, in this embodiment, the method by which the capacity testing cabinet determines the measured value of the battery capacity is not specifically limited. For instance, the capacity testing cabinet can use the product of the discharge current and the discharge time as the measured value of the battery capacity.
[0045] For example, in this embodiment, the battery temperature measurement value used in the capacity test represents the surface temperature of the battery at the end of the capacity test in an actual test environment.
[0046] For example, in this embodiment, the battery capacity correction coefficient and the battery temperature correction coefficient are set values, and their data can be determined by experience, by data fitting, or by training a neural network model.
[0047] S102. Determine the actual battery capacity value based on the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, and the battery temperature correction factor.
[0048] For example, in this embodiment, the relationship between the actual battery capacity value, the battery capacity grading test value, the battery temperature measurement value during the grading test, the battery capacity correction factor, and the battery temperature correction factor can be expressed by the following formula:
[0049] C = f(K1, C1, K2, T)
[0050] In the formula, C represents the actual battery capacity, C1 represents the battery capacity test value, T represents the battery temperature measurement value during the capacity test, K1 represents the battery capacity correction coefficient, and K2 represents the battery temperature correction coefficient.
[0051] For example, in this embodiment, the function f can be a linear function, a quadratic function, or a higher-order curve function. The specific form of the function is not specifically limited and can be freely set according to actual needs.
[0052] S103. Use the actual battery capacity value as the battery capacity test result of the battery capacity test.
[0053] For example, in this embodiment, the actual battery capacity value is used as the battery capacity test result of the battery capacity test, that is, the actual battery capacity is represented by the actual battery capacity value.
[0054] This embodiment proposes a battery capacity testing method. When determining the battery capacity, the method acquires the battery capacity test value and the battery temperature measurement value during the actual capacity testing. The battery capacity test value is corrected using a battery capacity correction coefficient to reduce the deviation caused by differences between the charging / discharging current and the standard test current. Similarly, the battery temperature measurement value is corrected using a battery temperature correction coefficient to reduce the deviation of the test temperature from the battery capacity test value. The actual battery capacity is obtained using the corrected battery capacity test value and the corrected battery temperature measurement value, ultimately improving the accuracy of battery capacity testing.
[0055] Figure 2 This is a flowchart of another battery capacity testing method in the embodiment, for reference. Figure 2 As one feasible solution, the battery capacity testing method can be:
[0056] S201. Obtain the battery capacity test value and the battery temperature measurement value during the capacity test.
[0057] For example, in this solution, the implementation of step S201 is the same as the corresponding content described in step S101.
[0058] S202. The battery capacity correction coefficient and battery temperature correction coefficient are determined using the first battery capacity test dataset, the first battery temperature measurement dataset, and the battery capacity preset value.
[0059] For example, in this solution, step S202 specifically includes:
[0060] Acquire the first battery capacity test value dataset, the first battery temperature measurement value dataset, and the battery capacity preset value;
[0061] The first battery capacity test dataset and the first battery temperature measurement dataset are used as training samples, and the preset battery capacity value is used as the training target battery capacity value.
[0062] Using the first battery capacity test dataset, the first battery temperature measurement dataset, and the preset battery capacity value, the battery capacity correction coefficient and the battery temperature correction coefficient are obtained through data fitting.
[0063] For example, in this solution, the first battery capacity grading test value dataset represents the measured values of a set of battery capacity obtained after performing a grading test on a set of batteries in an actual test environment.
[0064] The dataset of battery temperature measurements from the first capacity test is used to represent the surface temperature of a group of batteries at the end of the capacity test in an actual test environment.
[0065] Among them, the first battery capacity test value and the first battery temperature measurement value correspond one-to-one, and a pair of the first battery capacity test value and the first battery temperature measurement value are the test data of one battery.
[0066] For example, in this solution, a group of batteries can be all or part of the batteries being tested in the capacity testing cabinet.
[0067] For example, in this solution, the preset battery capacity value can be determined empirically or through calibration tests under set test conditions.
[0068] For example, if the preset battery capacity is determined through calibration testing, the battery can be subjected to a capacity test under the following conditions to determine the preset battery capacity:
[0069] The battery is subjected to a capacity test using a charging current of 0.33C, 0.5C, or 1C (or the rated charging current and discharging current specified by the battery manufacturer), and the capacity test results are used as the preset value of the battery capacity.
[0070] For example, when performing capacity testing on a battery using a charging current of 0.33C, 0.5C, or 1C, the ambient temperature (the temperature of the location where the battery is being tested) can also be controlled to remain within a certain range, such as 25 degrees Celsius.
[0071] For example, in this solution, the battery capacity correction coefficient and the battery temperature correction coefficient are determined by data fitting based on the first battery capacity test dataset, the first battery temperature measurement dataset, and the preset battery capacity.
[0072] For example, in this solution, there is no specific limitation on the data fitting method used. For instance, the data fitting method can be the least squares method.
[0073] For example, if the least squares method is used to determine the battery capacity correction coefficient and the battery temperature correction coefficient, the first battery capacity test value, the first battery temperature measurement value, and the battery capacity preset value can be used as a set of measurement values.
[0074] The relationship between the actual battery capacity, the battery capacity grading test value, the battery temperature measurement value during the grading test, the battery capacity correction factor, and the battery temperature correction factor is expressed by the following formula:
[0075] C = f(K1, C1, K2, T)
[0076] The objective function for solving the least squares method can be determined according to the above formula. At the same time, when solving the objective function, in each set of measurement values, the preset battery capacity value corresponds to C in the above formula, and the first battery capacity test value and the first battery temperature test value correspond to C1 and T in the above method, respectively.
[0077] S203. Determine the actual battery capacity value based on the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, and the battery temperature correction factor.
[0078] S204. Use the actual battery capacity value as the battery capacity test result of the battery capacity test.
[0079] For example, in this solution, the implementation of steps S203 and S204 is the same as that described in steps S102 and S103.
[0080] For example, based on the content recorded in step S202, as one possible implementation, a linear function is used to represent the functional relationship between the battery capacity grading test value, the grading test battery temperature measurement value, the battery capacity correction coefficient, the battery temperature correction coefficient, and the actual battery capacity value.
[0081] Specifically, the battery capacity grading test value, the battery temperature measurement value during the grading test, the battery capacity correction factor, the battery temperature correction factor, and the actual battery capacity value are represented by the following relationship:
[0082] C = K1C1 + K2T
[0083] In the formula, C is the actual value of battery capacity, C1 is the battery capacity test value, T is the battery temperature measurement value during the capacity test, K1 is the battery capacity correction coefficient, and K2 is the battery temperature correction coefficient.
[0084] For example, based on the content described in step S202, as one possible implementation, the battery capacity testing method further includes:
[0085] Obtain the dataset of second battery capacity grading test values and the dataset of second battery temperature measurement values;
[0086] The dataset of the second battery capacity test value and the dataset of the second capacity test battery temperature measurement value are used as verification data.
[0087] Using the second battery capacity grading test dataset, the second capacity grading test battery temperature measurement dataset, and the battery capacity preset value, it is determined whether the battery capacity correction coefficient and the battery temperature correction coefficient meet the set accuracy.
[0088] For example, in this solution, the second battery capacity grading test value dataset represents the measured values of a set of battery capacity obtained after performing a grading test on a set of batteries in an actual test environment.
[0089] The second capacity test battery temperature measurement data set represents the surface temperature of a group of tested batteries at the end of the capacity test when a group of batteries is subjected to a capacity test in an actual test environment.
[0090] The battery group corresponding to the first battery capacity test value dataset is different from the battery group corresponding to the second battery capacity test value dataset.
[0091] For example, in this solution, the first battery capacity test value dataset, the first battery temperature measurement value dataset, the second battery capacity test value dataset, and the second battery temperature measurement value dataset are obtained using batteries in the same capacity testing cabinet.
[0092] For example, in this solution, the accuracy of the battery capacity correction factor and the battery temperature correction factor can be determined in the following way:
[0093] Substitute the second battery capacity test value and the second battery temperature measurement value from the second battery capacity test value dataset and the second battery temperature measurement value dataset into the fitted function relationship respectively;
[0094] If the difference between the calculated capacitance and the preset battery capacity is less than the set difference in any set of second battery capacity test values and second battery temperature measurement values from the battery capacity correction coefficient, battery temperature correction coefficient, second battery capacity test value dataset, and second battery temperature measurement value dataset, then the battery capacity correction coefficient and battery temperature correction coefficient are determined to meet the set accuracy.
[0095] For example, when determining the accuracy of the battery capacity correction factor and the battery temperature correction factor, the value of the difference can be determined empirically.
[0096] For example, in one possible implementation, if the difference between the capacitor capacity calculated by the battery capacity correction factor, the battery temperature correction factor, and any set of second battery capacity test values and second capacity test battery temperature measurement values and the preset battery capacity value is less than 2Ah, then the battery capacity correction factor and the battery temperature correction factor are determined to meet the set accuracy.
[0097] For example, if the battery capacity correction coefficient and the battery temperature correction coefficient do not meet the set accuracy, then the training samples are reselected and the battery capacity correction coefficient and the battery temperature correction coefficient are refitted until the set accuracy is met.
[0098] Once the battery capacity correction factor and battery temperature correction factor meet the set accuracy, the actual battery capacity value is determined based on the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, and the battery temperature correction factor.
[0099] Example 2
[0100] This embodiment proposes a battery capacity testing device, including: a capacity testing unit, which is used for:
[0101] Obtain the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, and the battery temperature correction factor;
[0102] The actual battery capacity is determined based on the battery capacity test value, the battery temperature measurement value during the capacity test, the battery capacity correction factor, and the battery temperature correction factor.
[0103] The actual battery capacity value is used as the battery capacity test result for the battery capacity grading test.
[0104] For example, in this embodiment, the capacity testing unit can be configured to implement any of the battery capacity testing methods described in Embodiment 1, and its specific content and beneficial effects will not be repeated here.
[0105] For example, as one possible implementation, the capacity testing unit can be configured in the capacity testing cabinet, and the battery capacity correction factor and the battery temperature correction factor are pre-stored values.
[0106] For example, when the capacity testing unit is configured in the capacity testing cabinet, the battery capacity correction factor and the battery temperature correction factor can be determined using any of the methods described in Embodiment 1.
[0107] For example, when performing capacity testing on a battery using a capacity testing cabinet, the battery capacity test value and the battery temperature measurement value are the uncorrected battery capacity measurement value and battery temperature measurement value directly obtained by the capacity testing cabinet.
[0108] After obtaining the battery capacity test value and the battery temperature measurement value, the capacity test cabinet further uses the battery capacity correction coefficient and the battery temperature correction coefficient to obtain the actual battery capacity value.
[0109] Example 3
[0110] Figure 3A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. 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 electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. 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.
[0111] like Figure 3 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0112] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.
[0113] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 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 11 performs the various methods and processes described above, such as battery capacity testing methods.
[0114] In some embodiments, the battery capacity testing method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the battery capacity testing method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the battery capacity testing method by any other suitable means (e.g., by means of firmware).
[0115] 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), payload-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 transferring data and instructions to the storage system, the at least one input device, and the at least one output device.
[0116] 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.
[0117] 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.
[0118] 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).
[0119] 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.
[0120] 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.
[0121] 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.
[0122] 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 battery capacity testing method, characterized in that, The method comprises the following steps: obtaining a battery capacity test value, a battery temperature test value, a battery capacity correction coefficient and a battery temperature correction coefficient; determining an actual battery capacity value according to the battery capacity test value, the battery temperature test value, the battery capacity correction coefficient and the battery temperature correction coefficient; taking the actual battery capacity value as a battery capacity test result of the battery test; obtaining the battery capacity correction coefficient and the battery temperature correction coefficient comprises: obtaining a first battery capacity test value data set, a first battery temperature test value data set and a preset battery capacity value; taking the first battery capacity test value data set and the first battery temperature test value data set as training samples and taking the preset battery capacity value as a training target battery capacity value; obtaining the battery capacity correction coefficient and the battery temperature correction coefficient through data fitting by using the first battery capacity test value data set, the first battery temperature test value data set and the preset battery capacity value; the first battery capacity test value data set represents a group of battery capacity test values obtained after a group of batteries are tested in an actual test environment; the first battery temperature test value data set represents a group of battery surface temperatures at the end of the test in the actual test environment; the battery capacity test value, the battery temperature test value, the battery capacity correction coefficient, the battery temperature correction coefficient and the actual battery capacity value satisfy the following relationship: C = K1C1 + K2T wherein C is the actual battery capacity value, C1 is the battery capacity test value, T is the battery temperature test value, K1 is the battery capacity correction coefficient and K2 is the battery temperature correction coefficient.
2. The battery lot test method of claim 1, wherein, determining the preset battery capacity value comprises: testing the battery by using a charging current and a discharging current of 0.33C, 0.5C or 1C and taking a battery capacity test result as the preset battery capacity value.
3. The battery lot test method of claim 2, wherein, controlling the environmental temperature to be 25 degrees Celsius when testing the battery by using a charging current and a discharging current of 0.33C, 0.5C or 1C.
4. The battery lot test method of claim 1, wherein, obtaining a second battery capacity test value data set and a second battery temperature test value data set; taking the second battery capacity test value data set and the second battery temperature test value data set as verification data; judging whether the battery capacity correction coefficient and the battery temperature correction coefficient satisfy a set precision by using the second battery capacity test value data set, the second battery temperature test value data set and the preset battery capacity value.
5. The battery lot test method of claim 4, wherein, if a difference between a calculated battery capacity and the preset battery capacity value is less than a set difference value, it is determined that the battery capacity correction coefficient and the battery temperature correction coefficient satisfy the set precision.
6. A battery capacity grading test device, characterized by, The method comprises the following steps: A capacity test unit is used for: obtaining a battery capacity test value, a battery temperature test value, a battery capacity correction coefficient, and a battery temperature correction coefficient; determining an actual battery capacity value according to the battery capacity test value, the battery temperature test value, the battery capacity correction coefficient, and the battery temperature correction coefficient; taking the actual battery capacity value as a battery capacity test result of the battery capacity test; obtaining a battery capacity correction coefficient and a battery temperature correction coefficient includes: obtaining a first battery capacity test value data set, a first battery temperature test value data set, and a battery capacity preset value; taking the first battery capacity test value data set, the first battery temperature test value data set as a training sample, and taking the battery capacity preset value as a training target battery capacity value; obtaining the battery capacity correction coefficient and the battery temperature correction coefficient through data fitting by using the first battery capacity test value data set, the first battery temperature test value data set, and the battery capacity preset value; the first battery capacity test value data set represents a group of battery capacity test values obtained after a group of batteries are tested in an actual test environment; the first battery temperature test value data set represents a group of battery surface temperatures of the group of batteries at the end of the capacity test in the actual test environment; the battery capacity test value, the battery temperature test value, the battery capacity correction coefficient, the battery temperature correction coefficient, and the actual battery capacity value satisfy the following relationship: C = K1C1 + K2T wherein C is the actual battery capacity value, C1 is the battery capacity test value, T is the battery temperature test value, K1 is the battery capacity correction coefficient, and K2 is the battery temperature correction coefficient.
7. An electronic device, comprising: 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, and the computer program is executed by the at least one processor to enable the at least one processor to execute the battery capacity test method of any one of claims 1-5.
8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to execute the battery capacity test method of any one of claims 1-5 when executed.
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