CN115877242A - Battery health state evaluation method, electronic equipment and readable storage medium - Google Patents

Abstract

The present disclosure provides a battery state of health evaluation method, electronic equipment and a readable storage medium. The method includes: acquiring the usage time and cycle times of the target battery to be evaluated; according to the usage time, the cycle times and the A preset relationship, determining the loss value of the target battery; and determining the health status of the target battery according to the loss value and a second preset relationship.

Description

Method for evaluating battery health state, electronic device and readable storage medium

technical field

Embodiments of the present disclosure relate to the technical field of batteries, and more specifically, relate to a battery state of health evaluation method, an electronic device, and a computer-readable storage medium.

Background technique

Battery state of health (SOH) is used to characterize the ability of the current battery to store electrical energy relative to a new battery. It expresses the state of the battery from the beginning of its life to the end of its life in the form of a percentage, and is used to quantitatively describe the performance status of the current battery. The evaluation of the state of health of the battery has guiding significance for the use, maintenance and economic analysis of the battery.

In the prior art, the state of health of the battery can be evaluated in the following ways: the first one is to calculate according to the capacity fading, specifically, the current capacity of the battery can be obtained by full and full discharge with constant current, or roughly estimated by other working condition estimation methods Estimate the existing capacity, and determine the battery health status by the following formula: existing capacity/nominal capacity; the second is to calculate according to the change of internal resistance, by defining the cut-off internal resistance value, and calculating the current internal resistance value according to special working conditions, And determine the battery health status by the following formula: battery health status = (cut-off internal resistance value - current internal resistance value) / (cut-off internal resistance value - factory internal resistance value); the third method is calculated according to the calendar life, and the experiment is obtained The calendar life is made into parameters, and the battery health status is obtained by real-time comparison through time; the fourth type is calculated according to the cycle life, and the cycle life obtained through experiments is made into parameters, which are calculated by real-time comparison with the number of cycles. Get battery health status.

However, the actual working conditions of the first method above are difficult to meet, even the working conditions required for stage estimation are difficult to achieve, and it is likely that the battery health status cannot be calculated for a long period of time. The definition of battery health status in the second method is very defined, and due to different working conditions, there will be errors in the calculation of internal resistance. In the third method, the calendar life data itself depends on the calculation of the system through experiments or data under constant working conditions. If the working conditions change, it will affect the estimation of the battery’s health status. In the fourth way, it is required to rely on the working conditions defined by the system to set parameters in advance.

Therefore, it is very valuable to propose a method that can accurately assess the state of health of the battery.

Contents of the invention

An object of the embodiments of the present disclosure is to provide a new technical solution for accurately evaluating the state of health of a battery.

According to a first aspect of the present disclosure, there is provided a battery state of health evaluation method, including:

Obtain the service time and cycle times of the target battery to be evaluated;

determining the loss value of the target battery according to the usage time, the number of cycles, and a first preset relationship;

Determine the state of health of the target battery according to the loss value and a second preset relationship.

Optionally, before determining the loss value of the target battery according to the usage time, the number of cycles and the first preset relationship, the method further includes:

acquiring the first preset relationship;

The acquisition of the first preset relationship includes:

Acquiring a preset single-cycle loss value, wherein the preset single-cycle loss value represents the relative value of the loss value of the battery in one statistical period of the battery's single-cycle loss;

The first preset relationship is determined according to the single-cycle loss value, the use time, the number of cycles, and the loss value of a preset statistical period.

Optionally, said obtaining the preset single-cycle loss value includes: obtaining reference usage data and reference health status of a reference battery;

The single cycle loss value is determined according to the reference usage data and the reference health status of the reference battery.

Optionally, the reference usage data corresponding to any of the reference health states includes first reference usage data and second reference usage data; the reference usage data includes usage time and cycle times;

The determining the single-cycle loss value according to the use data of the reference battery and the reference state of health includes:

For any reference health state, according to the first reference usage data, the second reference usage data and the third preset relationship, the single-cycle loss value component corresponding to the reference health status is obtained;

The single-cycle loss value is obtained according to the single-cycle loss value component of each of the reference health states.

Optionally, the third preset relationship is:

En＝K Loss*(Yn1-Yn2)/(Tn2*Yn2-Tn1*Yn1)

Among them, En represents the single-cycle loss value of the nth reference health state, Yn1 represents the usage time in the first reference data corresponding to the nth reference health state; Yn2 represents the second reference data corresponding to the nth reference health state The usage time in the data; Tn1 indicates the number of cycles in the first reference data corresponding to the nth reference health status; Tn2 indicates the number of cycles in the first reference data corresponding to the nth reference health status, and KLoss indicates a statistic Cycle loss value.

Optionally, the first preset relationship is:

D＝KLoss*Y+E*T

Wherein, D represents the loss value of the target battery, KLoss represents the loss value of one statistical period, Y represents the use time, T represents the number of cycles, and E represents the preset single cycle loss value.

Optionally, the method further includes the step of acquiring the second preset relationship, including:

Obtain reference usage data and reference health status of the reference battery; the reference usage data includes usage time and cycle times;

Obtaining a reference loss value corresponding to the reference battery and the reference usage data according to the reference usage data and the first preset relationship;

The second preset relationship is determined according to the reference loss value of the reference battery, the corresponding reference health status and preset fitting parameters.

Optionally, the second preset relationship is:

Wherein, SOH represents the state of health of the target battery, D represents the loss value of the target battery, and A, B, and C are preset fitting parameters.

Optionally, the method also includes:

Obtain the current storage temperature of the target battery;

Also based on the current storage temperature, the loss value corresponding to the target battery in the previous statistical cycle, the preset calendar loss value at the current storage temperature, the single cycle loss value at the preset current storage temperature, the current The number of cycles in the statistical period and the fourth preset relationship determine the loss value corresponding to the target battery in the current statistical period.

According to the second aspect of the present disclosure, there is also provided an electronic device, including a memory and a processor, the memory is used to store a computer program; the processor is used to execute the computer program, so as to implement the computer program according to the first aspect of the present disclosure the method described.

According to a third aspect of the present disclosure, there is also provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program according to the first aspect of the present disclosure is implemented. described method.

A beneficial effect of the embodiments of the present disclosure is that, through the embodiments of the present disclosure, the loss value of the target battery is determined according to the service time and the number of cycles of the target battery, and then the health status of the target battery is evaluated according to the loss value of the target battery. It can make the obtained evaluation result of the health state more accurate. In addition, the method for evaluating the health state of the battery in this embodiment has high real-time performance, high compatibility, less resource occupation, and low calculation cost.

Moreover, the parameter loss value is introduced in the evaluation process, and the chemical and physical loss of the battery is uniformly normalized into one factor, thereby simplifying the structure of the battery attenuation system and improving the usability of the disclosed method.

Other features and advantages of embodiments of the present disclosure will become apparent through the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and, together with the description, serve to explain principles of the embodiments of the disclosure.

1 is a schematic block diagram of a hardware configuration of an electronic device that can be used to implement an embodiment of the present disclosure;

FIG. 2 is a schematic flowchart of a method for evaluating a battery state of health according to an embodiment;

Figure 3 is a block schematic diagram of an electronic device according to one embodiment.

Detailed ways

Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

In all examples shown and discussed herein, any specific values should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have different values.

It should be noted that like numerals and letters denote like items in the following figures, therefore, once an item is defined in one figure, it does not require further discussion in subsequent figures.

<hardware configuration>

FIG. 1 is a schematic structural diagram of an electronic device that can be used to implement an embodiment of the present disclosure.

The electronic device 1000 may be a smart phone, a portable computer, a desktop computer, a tablet computer, a server, etc., which is not limited here.

The electronic device 1000 may include but not limited to a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, an input device 1600, a speaker 1700, a microphone 1800 and so on. Wherein, the processor 1100 can be a central processing unit CPU, a graphics processing unit GPU, a microprocessor MCU, etc., and is used to execute a computer program, and the computer program can be written using an instruction set such as x86, Arm, RISC, MIPS, SSE, etc. . The memory 1200 includes, for example, ROM (Read Only Memory), RAM (Random Access Memory), nonvolatile memory such as a hard disk, and the like. The interface device 1300 includes, for example, a USB interface, a serial interface, a parallel interface, and the like. The communication device 1400 can, for example, use an optical fiber or cable to perform wired communication, or perform wireless communication, which may specifically include WiFi communication, Bluetooth communication, 2G/3G/4G/5G communication, and the like. The display device 1500 is, for example, a liquid crystal display, a touch display, and the like. The input device 1600 may include, for example, a touch screen, a keyboard, and somatosensory input. The speaker 1700 is used to output audio signals. The microphone 1800 is used to collect audio signals.

Applied in the embodiments of the present disclosure, the memory 1200 of the electronic device 1000 is used to store a computer program, and the computer program is used to control the operation of the processor 1100 to implement the method according to the embodiments of the present disclosure. A skilled person can design the computer program according to the solutions disclosed in this disclosure. How the computer program controls the operation of the processor is well known in the art, so it will not be described in detail here. The electronic device 1000 can be installed with a smart operating system (such as Windows, Linux, Android, IOS, etc.) and application software.

Those skilled in the art should understand that although multiple devices of the electronic device 1000 are shown in FIG. 1 , the electronic device 1000 in the embodiment of the present disclosure may only involve some of the devices, for example, only the processor 1100 and the memory are involved. 1200 etc.

Hereinafter, various embodiments and examples according to the present invention are described with reference to the accompanying drawings.

<method embodiment>

Fig. 2 is a schematic flowchart of a method for evaluating a battery state of health according to an embodiment, which may be implemented by an electronic device. For example, the electronic device may be the electronic device 1000 shown in FIG. 1 .

As shown in FIG. 2 , the method for evaluating the state of health of a battery in this embodiment may include the following steps S2100-S2300:

Step S2100, acquiring the usage time and cycle times of the target battery to be evaluated.

In this embodiment, the usage time and number of cycles of the target battery may be recorded in the electronic device using the target battery, and the electronic device executing the method of this embodiment is directly obtained from the electronic device using the target battery. Alternatively, the electronic device executing the method of this embodiment may obtain the usage data of the target battery from the electronic device using the target battery, and obtain the usage time and cycle times of the target battery according to the usage data.

In this embodiment, when the number of cycles is 1, it means that the target battery is fully charged once.

The usage time in this implementation can be a multiple of the statistical period. Wherein, the duration of the statistical period may be set in advance according to application scenarios or specific requirements. For example, the duration of a statistical period may be one year, or one day.

Step S2200: Determine the loss value of the target battery according to the usage time, cycle times and first preset relationship of the target battery.

In this embodiment, the loss value is a parameter representing the degree of battery attenuation. Specifically, the use time is converted into a calendar loss value, and the cycle number is converted into a cycle loss value, so that the use time and cycle number are unified into a loss value, which is used as an input parameter to determine the battery health status to obtain the SOH of the battery.

In an embodiment of the present disclosure, before performing step S2200, the method may further include the step of acquiring a first preset relationship, including: acquiring a preset single-cycle loss value, according to the single-cycle loss value, usage time, cycle The number of times, and the loss value of a preset statistical period determine the first preset relationship.

Wherein, the preset single-cycle loss value may represent the relative value of the loss value in one statistical period of the battery during a single cycle of the battery.

In an embodiment of the present disclosure, the first preset relationship can be expressed by the following formula 1:

D＝KLoss*Y+E*T Formula 1

Among them, D represents the loss value of the target battery, KLoss represents the loss value of a statistical cycle, Y represents the use time, T represents the number of cycles, and E represents the preset single cycle loss value.

In an embodiment of the present disclosure, the method may further include the step of determining a preset single-cycle loss value, including:

Obtain the reference usage data and reference health status of the reference battery; determine the single cycle loss value according to the reference usage data and reference health status of the reference battery.

In this embodiment, the reference usage data and the reference health state of the reference battery may be obtained by actually monitoring a preset reference battery. Wherein, the reference usage data may include usage time and cycle times.

In an embodiment of the present disclosure, the reference usage data corresponding to any reference detection state includes first reference usage data and second reference usage data.

In one example, the reference usage data and reference health status of the reference battery may be as shown in Table 1 below.

Table 1

According to the reference usage data and the reference health state of the reference battery, determining the preset single-cycle loss value may include:

For any reference health state, according to the first reference usage data, the second reference usage data and the third preset relationship, the single cycle loss value component corresponding to the reference health state is obtained; according to the single cycle loss value component of each reference health state , to get the single cycle loss value.

In an example, the third preset relationship may be represented by the following formula 2:

En＝K Loss*(Yn1-Yn2)/(Tn2*Yn2-Tn1*Yn1) Formula 2

Among them, En represents the single-cycle loss value of the nth reference health state, Yn1 represents the usage time in the first reference data corresponding to the nth reference health state; Yn2 represents the second reference data corresponding to the nth reference health state The usage time in the data; Tn1 indicates the number of cycles in the first reference data corresponding to the nth reference health status; Tn2 indicates the number of cycles in the first reference data corresponding to the nth reference health status, and KLoss indicates a statistic Cycle loss value.

In one example, an average value of the single cycle loss value components of all reference health states may be determined as the single cycle loss value. Alternatively, the median of the single-cycle loss value components of all reference health states may also be determined as the single-cycle loss value.

Step S2300: Determine the state of health of the target battery according to the loss value of the target battery and a second preset relationship.

In an embodiment of the present disclosure, before performing step S2300, the method may further include a step of acquiring a second preset relationship, including:

Obtain the reference usage data and the reference health state of the reference battery; obtain the reference loss value corresponding to the reference battery and the reference usage data according to the reference usage data and the first preset relationship; according to the reference loss value of the reference battery, the corresponding reference health status and The preset fitting parameters determine the second preset relationship; wherein, the reference usage data includes usage time and cycle times.

In an embodiment of the present disclosure, the second preset relationship may be represented by the following formula three:

Among them, SOH represents the state of health of the target battery, D represents the loss value of the target battery, and A, B, and C are preset fitting parameters.

In the process of determining the two preset relationships, SOH can be made to represent the reference state of health of the reference battery, and D can be used to represent the reference loss value of the reference battery to fit Formula 3, so that the formula 3 is calculated according to the reference usage data and the formula 3 The standard deviation between the obtained predicted health status and the corresponding reference health status is less than the preset standard deviation threshold, and the maximum error between the predicted health status and the corresponding reference health status is less than or equal to the first error threshold and greater than the preset The errors corresponding to the reference health states of the health states are all less than or equal to the second error threshold.

Wherein, the standard deviation threshold, the preset health state, the first error threshold and the second error threshold may be set in advance according to application scenarios or specific requirements. For example, the standard deviation threshold may be 0.7%, the preset health status may be 70%, the first error threshold may be 2.4%, and the second error threshold may be 1%.

In one example, the formula 3 is fitted by referring to the reference usage data and the reference health state of the battery, and the values of the preset fitting parameters A, B, and C are determined to be 13.8, 1.52, and 3.2 respectively, that is, Formula four as shown below:

Through the embodiments of the present disclosure, the loss value of the target battery is determined according to the service time and cycle times of the target battery, and then the health state of the target battery is evaluated according to the loss value of the target battery, which can make the evaluation result of the health state more accurate. precise. In addition, the method for evaluating the health state of the battery in this embodiment has high real-time performance, high compatibility, less resource occupation, and low calculation cost.

Moreover, the parameter loss value is introduced in the evaluation process, and the chemical and physical loss of the battery is uniformly normalized into one factor, thereby simplifying the structure of the battery attenuation system and improving the usability of the disclosed method.

In an embodiment of the present disclosure, the method may further include: obtaining the current storage temperature of the target battery; and also according to the current storage temperature, the loss value corresponding to the target battery in the previous statistical cycle, and the preset current storage temperature The calendar loss value, the preset single-cycle loss value at the current storage temperature, the number of cycles in the current statistical period and the fourth preset relationship determine the corresponding loss value of the target battery in the current statistical period.

In this embodiment, the calendar loss value at each storage temperature and the single cycle loss value at each storage temperature can be preset. The calendar loss value at each storage temperature may be shown in Table 2 below, and the single cycle loss value at each storage temperature may be shown in Table 3 below.

Table 2

storage temperature -5°C 5°C 15°C 25°C 35°C 45°C 55°C 65°C Calendar loss value 0.94 0.95 0.97 1 1.05 1.11 1.18 1.33

table 3

In this embodiment, the loss value of the target battery may be calculated in real time according to stage accumulation. Specifically, the fourth preset relationship may be expressed by the following formula five:

D _n ＝D _n-1 +S _T +C _T *L _n Formula 5

Among them, D _n represents the loss value corresponding to the target battery in the current statistical cycle, D _n-1 represents the loss value corresponding to the target battery in the previous statistical cycle, T represents the current storage temperature corresponding to the target battery in the current statistical cycle, S _T represents The calendar loss value at the current storage temperature, C _T represents the single-cycle loss value at the current storage temperature, and L _n represents the number of cycles in the current statistical period.

Wherein, the duration of the statistical cycle may be pre-set according to the application scenario or specific requirements, and the duration of the statistical period may also be adjusted according to actual requirements, so as to improve the accuracy of the final evaluation result of the health status.

In this embodiment, the loss value corresponding to the target battery in the current statistical period is determined according to the current storage temperature of the target battery, and then the health state of the target battery is determined, which can further improve the accuracy of the obtained evaluation result of the health state.

<device embodiment>

Fig. 3 is a schematic diagram of a hardware structure of an electronic device according to another embodiment.

As shown in FIG. 3 , the electronic device 3000 includes a processor 3100 and a memory 3200, the memory 3200 is used to store an executable computer program, and the processor 3100 is used to execute any of the above method embodiments according to the control of the computer program. Methods.

The electronic device 3000 may be an electronic product such as a smart phone, a laptop computer, a desktop computer, a tablet computer, a server, or a computer cluster.

Each module of the above electronic device 3000 may be implemented by the processor 3100 in this embodiment executing a computer program stored in the memory 3200, or may be implemented by other circuit structures, which are not limited here.

<Example of computer-readable storage medium>

This embodiment provides a computer-readable storage medium, where an executable command is stored in the storage medium, and when the executable command is executed by a processor, the method described in any method embodiment in this specification is executed.

The present invention can be a system, method and/or computer program product. A computer program product may include a computer readable storage medium having computer readable program instructions thereon for causing a processor to implement various aspects of the present invention.

A computer readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. A computer readable storage medium may be, for example, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory), static random access memory (SRAM), compact disc read only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanically encoded device, such as a printer with instructions stored thereon A hole card or a raised structure in a groove, and any suitable combination of the above. As used herein, computer-readable storage media are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., pulses of light through fiber optic cables), or transmitted electrical signals.

Computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or downloaded to an external computer or external storage device over a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or a network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .

Computer program instructions for carrying out operations of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or Source or object code written in any combination, including object-oriented programming languages—such as Smalltalk, C++, etc., and conventional procedural programming languages—such as the “C” language or similar programming languages. Computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as via the Internet using an Internet service provider). connect). In some embodiments, an electronic circuit, such as a programmable logic circuit, field programmable gate array (FPGA), or programmable logic array (PLA), can be customized by utilizing state information of computer-readable program instructions, which can Various aspects of the invention are implemented by executing computer readable program instructions.

Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It should be understood that each block of the flowcharts and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine such that when executed by the processor of the computer or other programmable data processing apparatus , producing an apparatus for realizing the functions/actions specified in one or more blocks in the flowchart and/or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause computers, programmable data processing devices and/or other devices to work in a specific way, so that the computer-readable medium storing instructions includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks in flowcharts and/or block diagrams.

It is also possible to load computer-readable program instructions into a computer, other programmable data processing device, or other equipment, so that a series of operational steps are performed on the computer, other programmable data processing device, or other equipment to produce a computer-implemented process , so that instructions executed on computers, other programmable data processing devices, or other devices implement the functions/actions specified in one or more blocks in the flowcharts and/or block diagrams.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, a portion of a program segment, or an instruction that includes one or more Executable instructions. In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or action , or may be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that implementation by means of hardware, implementation by means of software, and implementation by a combination of software and hardware are all equivalent.

Having described various embodiments of the present invention, the foregoing description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and alterations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principle of each embodiment, practical application or technical improvement in the market, or to enable other ordinary skilled in the art to understand each embodiment disclosed herein. The scope of the invention is defined by the appended claims.

Claims (11)

1. A method of assessing state of health of a battery, comprising:

acquiring the service time and cycle number of a target battery to be evaluated;

determining a loss value of the target battery according to the service time, the cycle number and a first preset relation;

and determining the health state of the target battery according to the loss value and a second preset relation.

2. The method of claim 1, further comprising, prior to determining a depletion value for the target battery based on the usage time, the number of cycles, and a first preset relationship:

acquiring the first preset relationship;

the obtaining of the first preset relationship includes:

acquiring a preset single-cycle loss value, wherein the preset single-cycle loss value represents a relative value of the loss value of the battery occupying one statistical period of the battery in a single-cycle process of the battery;

and determining the first preset relation according to the single-cycle loss value, the service time, the cycle times and a preset loss value of a statistical period.

3. The method of claim 2, the obtaining a preset single cycle loss value comprising: acquiring reference use data and a reference state of health of a reference battery;

determining the single cycle loss value based on the reference usage data and the reference state of health of the reference battery.

4. The method of claim 3, wherein the reference usage data corresponding to any of the reference health states comprises first reference usage data and second reference usage data; the reference usage data comprises usage time and cycle number;

the determining the single cycle loss value based on the usage data of the reference battery and a reference state of health comprises:

for any reference health state, obtaining a single-cycle loss value component corresponding to the reference health state according to the first reference use data, the second reference use data and a third preset relation;

and obtaining the single-cycle loss value according to the single-cycle loss value component of each reference health state.

5. The method of claim 4, wherein the third predetermined relationship is:

En＝KLoss*(Yn1-Yn2)/(Tn2*Yn2-Tn1*Yn1)

wherein En represents a single cycle loss value of the nth reference health state, and Yn1 represents a usage time in the first reference data corresponding to the nth reference health state; yn2 represents the usage time in the second reference data corresponding to the nth reference health state; tn1 represents the cycle number in the first reference data corresponding to the nth reference health state; tn2 represents the number of cycles in the first reference data corresponding to the nth reference health state, and K Loss represents the Loss value of one statistical period.

6. The method of claim 2, wherein the first predetermined relationship is:

D＝KLoss*Y+E*T

wherein D represents the Loss value of the target battery, K Loss represents the Loss value of a statistical period, Y represents the usage time, T represents the number of cycles, and E represents the preset single-cycle Loss value.

7. The method of claim 1, further comprising the step of obtaining the second preset relationship, comprising:

acquiring reference use data and a reference state of health of a reference battery; the reference usage data comprises usage time and cycle number;

obtaining a reference loss value corresponding to the reference battery and the reference service data according to the reference service data and the first preset relation;

and determining the second preset relationship according to the reference loss value of the reference battery, the corresponding reference health state and preset fitting parameters.

8. The method of claim 1, wherein the second predetermined relationship is:

the SOH represents the health state of the target battery, the D represents the loss value of the target battery, and A, B and C are preset fitting parameters.

9. The method of claim 1, further comprising:

acquiring the current storage temperature of the target battery;

and determining the loss value corresponding to the current statistical period of the target battery according to the current storage temperature, the loss value corresponding to the previous statistical period of the target battery, a preset calendar loss value at the current storage temperature, a preset single-cycle loss value at the current storage temperature, the cycle number in the current statistical period and a fourth preset relation.

10. An electronic device, comprising a memory for storing a computer program and a processor for performing the method of any of claims 1-9 under control of the computer program.

11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 9.

Images