Early warning method, system and device for battery capacity degradation and storage medium

Abstract

This invention provides a method, system, device, and storage medium for early warning of battery capacity degradation, belonging to the field of electrochemical energy storage technology. The method for early warning of battery capacity degradation includes: acquiring historical battery capacity data and the current number of battery charge-discharge cycles; calculating the marginal rate of change of battery capacity and the marginal rate of capacity degradation based on the historical battery capacity data; determining whether a battery capacity warning is needed based on the marginal rate of change of battery capacity, the marginal rate of capacity degradation, and the current number of charge-discharge cycles; if so, generating corresponding warning information and issuing a battery capacity warning based on the warning information. Since the evolution of electrochemical reactions affects the degradation of the battery's macroscopic capacity, this invention calculates the evolution of electrochemical reactions based on historical battery capacity data, resulting in more reliable warning information. Furthermore, the above process can be performed in real-time, improving the real-time performance of the warning.

Description

Technical Field

[0001] This invention relates to the field of electrochemical energy storage technology, specifically to a method for early warning of battery capacity decay, a system for early warning of battery capacity decay, an electronic device, and a readable storage medium. Background Technology

[0002] The capacity decay of energy storage batteries is closely related to their internal electrochemical reactions. On the one hand, the performance of their operation can be assessed and future performance can be predicted through dynamic decay changes. On the other hand, their rapid changes reflect the rapid evolution of internal electrochemical reactions and other types of reactions. If the internal evolution can be perceived through capacity parameter analysis, effective early warning can be implemented.

[0003] The degradation of energy storage battery capacity is generally used to predict its lifespan. In existing technologies, the battery capacity is usually determined by charging and discharging tests to achieve lifespan warning. However, the above methods do not reflect the electrochemical reactions inside the battery, making the reliability of lifespan warning low. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, device, and storage medium for early warning of battery capacity degradation, in order to solve the above-mentioned technical problems.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for early warning of battery capacity degradation, the method comprising:

[0006] Obtain historical battery capacity data and the current battery charge / discharge cycle count;

[0007] Based on the historical battery capacity data, the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity are calculated.

[0008] Based on the marginal rate of change of battery capacity, the marginal rate of decay of battery capacity, and the current number of charge-discharge cycles, determine whether a battery capacity warning is needed;

[0009] If a battery capacity warning is required, a corresponding warning message is generated, and a battery capacity warning is issued based on the warning message.

[0010] Optionally, the historical battery capacity data includes operating time intervals and battery capacity degradation changes;

[0011] The acquisition of historical battery capacity data includes:

[0012] Obtain the first battery capacity at an initial time and the second battery capacity at a historical time; wherein, the initial time is the time when the battery has not been charged or discharged, and the historical time is the time when the cumulative number of battery charge-discharge cycles reaches the historical number of cycles;

[0013] The running time interval is calculated based on the initial time and the historical time.

[0014] Subtracting the first battery capacity from the second battery capacity yields the change in battery capacity attenuation.

[0015] Optionally, the step of calculating the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity based on the historical battery capacity data includes:

[0016] Based on the operating time interval and the battery capacity decay change value, the battery capacity decay rate is calculated;

[0017] Based on the battery capacity decay rate and the operating time interval, the marginal rate of change of battery capacity is calculated.

[0018] Based on the operating time interval and the battery capacity decay change value, the battery marginal capacity decay rate is calculated.

[0019] Optionally, calculating the battery capacity degradation rate based on the operating time interval and the battery capacity degradation change value includes:

[0020] Based on the operating time interval and the battery capacity decay change value, the battery capacity decay rate is calculated using equation (1):

[0021]

[0022] In equation (1), λ c (n) represents the battery capacity decay rate over n charge-discharge cycles, ΔI c (n) represents the battery capacity decay change value after n charge-discharge cycles, ΔI c (n-1) represents the battery capacity decay change after n-1 charge-discharge cycles, Δt n The time interval for n charge-discharge cycles.

[0023] Optionally, calculating the marginal rate of change of battery capacity based on the battery capacity decay rate and the operating time interval further includes:

[0024] Based on the battery capacity decay rate and the operating time interval, the marginal rate of change of battery capacity is calculated using equation (2):

[0025]

[0026] In equation (2), M[λ] c [n] represents the marginal rate of change of battery capacity over n charge-discharge cycles, λ c(n) represents the battery capacity decay rate over n charge-discharge cycles, λ c (n-1) represents the battery capacity decay rate after n-1 charge-discharge cycles, Δt n The time interval for n charge-discharge cycles.

[0027] Optionally, calculating the battery marginal capacity decay rate based on the operating time interval and the battery capacity decay change value includes:

[0028] Based on the operating time interval and the battery capacity decay change value, the battery marginal capacity decay rate is calculated using equation (3):

[0029]

[0030] In equation (3), M[ΔI c [(n)] represents the battery's marginal capacity decay rate over n charge-discharge cycles, ΔI c (n) represents the battery capacity decay change value after n charge-discharge cycles, ΔI c (n-1) represents the battery capacity decay change after n-1 charge-discharge cycles, Δt n The time interval for n charge-discharge cycles.

[0031] Optionally, determining whether a battery capacity warning is needed based on the marginal rate of change of battery capacity, the marginal rate of decay of battery capacity, and the current number of charge-discharge cycles includes:

[0032] The difference between the marginal change rate of battery capacity and the marginal capacity decay rate of battery under each charge-discharge cycle within the historical cycle number is calculated, and the maximum absolute value of the difference between the marginal change rate of battery capacity and the marginal capacity decay rate of battery under each charge-discharge cycle number is taken as the maximum high-order evolution threshold under the historical cycle number.

[0033] The difference between the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity at the current charge-discharge cycle number is calculated, and the absolute value of the difference between the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity at the current charge-discharge cycle number is taken as the current evolution absolute value at the current charge-discharge cycle number.

[0034] Based on the maximum higher-order evolution threshold and the current absolute value of evolution, determine whether a battery capacity warning is needed.

[0035] Optionally, the maximum higher-order evolution threshold under the historical cycle number can be calculated using equation (4):

[0036] EI max =max{|M[λ c (i)]-M[ΔIc (i)]|} (4);

[0037] In equation (4), EI max M[λ] represents the maximum higher-order evolution threshold for each charge-discharge cycle number within the historical cycle number n. c [i] represents the marginal rate of change of battery capacity at charge-discharge cycle number i, M[ΔI] c [i] represents the battery marginal capacity decay rate at charge-discharge cycle number i, where i∈[1,n];

[0038] Using equation (5), calculate the current absolute value of evolution at the current charge-discharge cycle number:

[0039] EI(x)=|M[λ c (x)]-M[ΔI c (x)]| (5);

[0040] In equation (5), EI(x) is the current absolute value of evolution at the current charge-discharge cycle number x, and M[λ c [x] represents the marginal rate of change of battery capacity at the current charge-discharge cycle number x, M[ΔI] c [x] represents the battery marginal capacity decay rate at the current charge / discharge cycle number x, where x = n + k, n is the historical cycle number, and k is the number of charge / discharge cycles added from the historical cycle number n until the current moment.

[0041] In a second aspect of the present invention, a battery capacity degradation early warning system is provided, the system comprising:

[0042] The data acquisition module is used to acquire historical battery capacity data and the current number of battery charge-discharge cycles;

[0043] The rate calculation module is used to calculate the marginal change rate of battery capacity and the marginal capacity decay rate of battery based on the historical battery capacity data.

[0044] The early warning judgment module is used to determine whether a battery capacity early warning is needed based on the marginal change rate of battery capacity, the marginal decay rate of battery capacity, and the current number of charge-discharge cycles.

[0045] The capacity warning module is used to determine if a battery capacity warning is needed, generate corresponding warning information, and issue a battery capacity warning based on the warning information.

[0046] A third aspect of this application provides an electronic device configured to perform the aforementioned battery capacity degradation warning method.

[0047] A fourth aspect of this application provides a machine-readable storage medium storing instructions that, when executed by a processor, are configured by the processor to perform the aforementioned battery capacity decay warning method.

[0048] This invention acquires historical battery capacity data and the current number of battery charge-discharge cycles. Based on this historical data, it calculates the marginal rate of change and the marginal rate of decay of battery capacity. Further, based on these factors and the current number of charge-discharge cycles, it determines whether a battery capacity warning is needed. If a warning is deemed necessary, a corresponding warning message is generated, and the warning is issued accordingly. Since the evolution of electrochemical reactions affects the decay of the battery's macroscopic capacity, this invention determines the marginal rate of change and the marginal rate of decay of battery capacity based on historical battery capacity data. This allows for the determination of the evolution of electrochemical reactions and the assessment of whether a battery capacity warning is needed. The resulting warning information is more reliable, and the process can be performed in real-time, improving the real-time nature of the warning.

[0049] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0050] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0051] Figure 1 This is a flowchart illustrating a method for early warning of battery capacity degradation provided in an embodiment of the present invention.

[0052] Figure 2 This is a schematic diagram of the overall process of a battery capacity decay early warning method provided in an embodiment of the present invention;

[0053] Figure 3 This is a schematic diagram of the functional modules of a battery capacity decay early warning system provided in an embodiment of the present invention. Detailed Implementation

[0054] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0055] 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 herein is for the purpose of describing particular embodiments only and is not intended to limit this application.

[0056] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0057] Example 1

[0058] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for early warning of battery capacity degradation provided in this embodiment.

[0059] Step S100: Obtain historical battery capacity data and current battery charge / discharge cycle count.

[0060] Historical battery capacity data includes operating time intervals and battery capacity decay changes. Specifically, this step obtains the first battery capacity at the initial moment and the second battery capacity at the historical moment. Based on the initial and historical moments, the operating time interval is calculated. The first and second battery capacities are then subtracted to obtain the battery capacity decay change value. It can be understood that the initial moment is the time when the battery has not been charged or discharged, and the historical moment is the time when the cumulative number of battery charge / discharge cycles reaches the historical cycle count. The historical cycle count is a pre-set number of charge / discharge cycles before the current moment, which can be set according to actual needs and is not limited in this embodiment.

[0061] The current battery charge / discharge cycle count is the cumulative number of charge / discharge cycles at the current moment, which can be denoted as x, x = n + k, where n is the historical cycle count and k is the number of new charge / discharge cycles added from the historical cycle count n until the current moment.

[0062] Step S200: Based on historical battery capacity data, calculate the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity.

[0063] It is understandable that, since the marginal rate of change of the battery can reflect the irreversible dynamic development of the higher-order evolution inside the battery, this embodiment calculates the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity, that is, the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity can characterize the independent development of the internal state parameters of the battery. Specifically, this step calculates the battery capacity decay rate using equation (1) based on the operating time interval and the battery capacity decay change value, then calculates the marginal rate of change of battery capacity using equation (2) based on the battery capacity decay rate and the operating time interval, and finally calculates the battery marginal rate of decay of battery capacity based on the operating time interval and the battery capacity decay change value. Among them, equations (1), (2) and (3) are as follows:

[0064]

[0065] In equation (1), λ c (n) represents the battery capacity decay rate over n charge-discharge cycles, ΔI c (n) represents the battery capacity decay change value after n charge-discharge cycles, ΔI c (n-1) represents the battery capacity decay change after n-1 charge-discharge cycles, Δt n The time interval for n charge-discharge cycles;

[0066]

[0067] In equation (2), M[λ] c [n] represents the marginal rate of change of battery capacity over n charge-discharge cycles, λ c (n) represents the battery capacity decay rate over n charge-discharge cycles, λ c (n-1) represents the battery capacity decay rate after n-1 charge-discharge cycles, Δt n The time interval for n charge-discharge cycles;

[0068]

[0069] In equation (3), M[ΔI c [(n)] represents the battery's marginal capacity decay rate over n charge-discharge cycles, ΔI c (n) represents the battery capacity decay change value after n charge-discharge cycles, ΔI c (n-1) represents the battery capacity decay change after n-1 charge-discharge cycles, Δt n The time interval for n charge-discharge cycles.

[0070] Step S300: Determine whether a battery capacity warning is needed based on the battery capacity marginal change rate, battery capacity decay rate, and current charge / discharge cycle count.

[0071] It is understandable that, since the reactants involved in the electrochemical reactions inside the energy storage battery are in a finite space system at both the macroscopic and microscopic levels, when some electrochemical reactions are carried out, internal substances will be consumed as reactants, affecting battery capacity and performance. Therefore, based on the close relationship between the rapid decay of battery capacity and the fractal evolution of internal electrochemical reactions, it is necessary to determine whether battery capacity warning is required.

[0072] Since the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity can characterize the independent development of the internal state parameters of the battery, the difference between the two reflects the higher-order evolution process inside the battery. When the two regions are equal, the reaction process inside the battery is in a higher-order evolution. At this time, the internal reaction is in the initial stage of fully developing higher-order nonlinearity, that is, it is on the edge of being out of control and an early warning is required. Otherwise, no alarm is needed. Specifically, this step uses equation (4) to calculate the difference between the marginal change rate of battery capacity and the marginal decay rate of battery capacity under each charge-discharge cycle within the historical cycle number, and takes the maximum absolute value of the difference between the marginal change rate of battery capacity and the marginal decay rate of battery capacity under each charge-discharge cycle as the maximum higher-order evolution threshold under the historical cycle number; then, using equation (5), calculate the difference between the marginal change rate of battery capacity and the marginal decay rate of battery capacity under the current charge-discharge cycle number, and take the absolute value of the difference between the marginal change rate of battery capacity and the marginal decay rate of battery capacity under the current charge-discharge cycle number as the current evolution absolute value under the current charge-discharge cycle number; finally, based on the maximum higher-order evolution threshold and the current evolution absolute value, determine whether a battery capacity warning is needed. Specifically, determine whether the current evolution absolute value is less than 1% of the maximum higher-order evolution threshold. If it is less than 1%, it is determined that the reaction process inside the battery is in a higher-order evolution and a battery capacity warning is needed; if it is greater than or equal to 1%, it is determined that the reaction process inside the battery is not in a higher-order evolution and a battery capacity warning is not needed.

[0073] Step S400: If a battery capacity warning is required, generate the corresponding warning information and issue a battery capacity warning based on the warning information.

[0074] Figure 2This is an overall flowchart of a battery capacity degradation early warning method provided in this embodiment. This embodiment obtains the current number of battery charge / discharge cycles, the first battery capacity at the initial moment, and the second battery capacity at a historical moment. Based on the first and second battery capacities, it determines the operating time interval and the battery capacity degradation change value. Based on the operating time interval and the battery capacity degradation change value, it calculates the battery capacity degradation rate. Based on the battery capacity degradation rate and the operating time interval, it calculates the battery capacity marginal change rate. Based on the operating time interval and the battery capacity degradation change value, it calculates the battery marginal capacity degradation rate. It calculates the maximum higher-order evolution threshold under the historical cycle count, calculates the current evolution absolute value under the current charge / discharge cycle count, and determines whether the current evolution absolute value is less than 1% of the maximum higher-order evolution threshold. If so, it indicates that a battery capacity early warning is needed, and corresponding early warning information is generated and a battery capacity early warning is issued based on the early warning information. If not, it indicates that a battery capacity early warning is not needed, and the process returns to the data acquisition step.

[0075] This invention acquires historical battery capacity data and the current number of battery charge-discharge cycles. Based on this historical data, it calculates the marginal rate of change and the marginal rate of decay of battery capacity. Further, based on these factors and the current number of charge-discharge cycles, it determines whether a battery capacity warning is needed. If a warning is deemed necessary, a corresponding warning message is generated, and the warning is issued accordingly. Since the evolution of electrochemical reactions affects the decay of the battery's macroscopic capacity, this invention determines the marginal rate of change and the marginal rate of decay of battery capacity based on historical battery capacity data. This allows for the determination of the evolution of electrochemical reactions and the assessment of whether a battery capacity warning is needed. The resulting warning information is more reliable, and the process can be performed in real-time, improving the real-time nature of the warning.

[0076] Example 2

[0077] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the functional modules of a battery capacity decay early warning system 200 provided in an embodiment of this application.

[0078] Data acquisition module 210 is used to acquire historical battery capacity data and the current number of battery charge-discharge cycles;

[0079] The rate calculation module 220 is used to calculate the marginal change rate of battery capacity and the marginal capacity decay rate of battery based on historical battery capacity data.

[0080] The early warning judgment module 230 is used to determine whether a battery capacity early warning is needed based on the battery capacity marginal change rate, the battery capacity marginal decay rate, and the current charge-discharge cycle number.

[0081] The capacity warning module 240 is used to determine if a battery capacity warning is needed, generate corresponding warning information, and issue a battery capacity warning based on the warning information.

[0082] It should be understood that this system corresponds to the aforementioned battery capacity degradation early warning method embodiment and is capable of performing the various steps involved in the above method embodiment. The specific functions of this system can be found in the description above; to avoid repetition, detailed descriptions are appropriately omitted here. The system includes at least one software functional module that can be stored in memory or embedded in the operating system (OS) in the form of software or firmware.

[0083] Example 3

[0084] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0085] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0086] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0087] Example 4

[0088] This invention also provides a computer-readable storage medium storing instructions that, when executed by a processor, are adapted to perform a program with steps for a method of warning about battery capacity degradation.

[0089] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0090] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0091] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0092] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0093] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not describe the various possible combinations separately.

[0094] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0095] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0096] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for early warning of battery capacity degradation, characterized in that, The method includes: Acquire historical battery capacity data and the current number of battery charge-discharge cycles, wherein the historical battery capacity data includes the operating time interval and the battery capacity decay change value; Based on the operating time interval and the battery capacity decay change value, the battery capacity decay rate is calculated using equation (1): （1）； In equation (1), for Battery capacity decay rate per charge-discharge cycle for Changes in battery capacity decay over one charge-discharge cycle for Changes in battery capacity decay over one charge-discharge cycle for The operating time interval of each charge-discharge cycle; Based on the battery capacity decay rate and the operating time interval, the marginal rate of change of battery capacity is calculated using equation (2): （2）； In equation (2), for The marginal rate of change of battery capacity in one charge-discharge cycle for Battery capacity decay rate per charge-discharge cycle for Battery capacity decay rate per charge-discharge cycle for The operating time interval of each charge-discharge cycle; Based on the operating time interval and the battery capacity decay change value, the battery marginal capacity decay rate is calculated using equation (3): （3）； In equation (3), for The rate of capacity decay of the battery in one charge-discharge cycle for Changes in battery capacity decay over one charge-discharge cycle for Changes in battery capacity decay over one charge-discharge cycle for The operating time interval of each charge-discharge cycle; The difference between the marginal change rate of battery capacity and the marginal capacity decay rate of battery under each charge-discharge cycle within the historical cycle number is calculated, and the maximum absolute value of the difference between the marginal change rate of battery capacity and the marginal capacity decay rate of battery under each charge-discharge cycle number is taken as the maximum high-order evolution threshold under the historical cycle number. The difference between the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity at the current charge-discharge cycle number is calculated, and the absolute value of the difference between the marginal rate of change of battery capacity and the marginal rate of decay of battery capacity at the current charge-discharge cycle number is taken as the current evolution absolute value at the current charge-discharge cycle number. Based on the maximum higher-order evolution threshold and the current absolute value of evolution, determine whether a battery capacity warning is needed; If a battery capacity warning is required, a corresponding warning message is generated, and a battery capacity warning is issued based on the warning message.

2. The method for early warning of battery capacity degradation according to claim 1, characterized in that, The acquisition of historical battery capacity data includes: Obtain the first battery capacity at an initial time and the second battery capacity at a historical time; wherein, the initial time is the time when the battery has not been charged or discharged, and the historical time is the time when the cumulative number of battery charge-discharge cycles reaches the historical number of cycles; The running time interval is calculated based on the initial time and the historical time. Subtracting the first battery capacity from the second battery capacity yields the change in battery capacity attenuation.

3. A battery capacity degradation early warning system, employing the battery capacity degradation early warning method as described in any one of claims 1-2, characterized in that, The system includes: The data acquisition module is used to acquire historical battery capacity data and the current number of battery charge-discharge cycles; The rate calculation module is used to calculate the marginal change rate of battery capacity and the marginal capacity decay rate of battery based on the historical battery capacity data. The early warning judgment module is used to determine whether a battery capacity early warning is needed based on the marginal change rate of battery capacity, the marginal decay rate of battery capacity, and the current number of charge-discharge cycles. The capacity warning module is used to determine if a battery capacity warning is needed, generate corresponding warning information, and issue a battery capacity warning based on the warning information.

4. An electronic device, characterized in that, include: A processor and a memory, the memory storing machine-readable instructions executable by the processor, which, when executed by the processor, perform the early warning method for battery capacity degradation as described in any one of claims 1-2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions for causing the machine to perform the early warning method for battery capacity degradation as described in any one of claims 1-2.

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