CN116643189A - Method for calculating battery health, computer-readable storage medium, and electronic device - Google Patents

Method for calculating battery health, computer-readable storage medium, and electronic device Download PDF

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Publication number
CN116643189A
CN116643189A CN202310690784.4A CN202310690784A CN116643189A CN 116643189 A CN116643189 A CN 116643189A CN 202310690784 A CN202310690784 A CN 202310690784A CN 116643189 A CN116643189 A CN 116643189A
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China
Prior art keywords
charging
accumulated
battery
calculating
target battery
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CN202310690784.4A
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Chinese (zh)
Inventor
王彦磊
温金雄
朱晓彬
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GCL Hong Kong Cloud Technology Hainan Co Ltd
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GCL Hong Kong Cloud Technology Hainan Co Ltd
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Priority to CN202310690784.4A priority Critical patent/CN116643189A/en
Publication of CN116643189A publication Critical patent/CN116643189A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • G01R31/387—Determining ampere-hour charge capacity or SoC
    • G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/389—Measuring internal impedance, internal conductance or related variables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Abstract

The invention discloses a method for calculating the health degree of a battery, a computer readable storage medium and electronic equipment, wherein the method for calculating the health degree of the battery comprises the following steps: acquiring charging data of a target battery; calculating an accumulated SOC difference and an accumulated integral characteristic variable of each time period in each charging process of the target battery according to the charging data, wherein the accumulated integral characteristic variable comprises accumulated integral capacity and/or accumulated integral electric quantity; and performing linear fitting on the integrated integral characteristic variable and the integrated SOC difference, and calculating the battery health of the target battery according to the linear fitting result. According to the method for calculating the battery health, the accumulated integral characteristic variable and the accumulated SOC difference are subjected to linear fitting, and the battery health of the target battery is calculated according to the linear fitting result, so that the calculation accuracy of the battery health is improved, and the problem that the deviation between the battery health of the target battery and the battery health of the actual target battery is large due to unstable current in the battery charging process is avoided.

Description

Method for calculating battery health, computer-readable storage medium, and electronic device
Technical Field
The present invention relates to the field of battery technologies, and in particular, to a method for calculating a battery health degree, a computer readable storage medium, and an electronic device.
Background
With the continuous development and popularization of new energy electric vehicles, the demand of users for power conversion is continuously expanding, and in order to meet the power conversion demand of users, a power conversion station needs to accurately calculate the SOH (State of Health) of a battery so as to replace the new energy electric vehicle with a high-quality battery capable of running for a long time. Currently, the SOH of a battery is calculated mainly by dividing the ratio of the accumulated integrated capacity of a certain charging process to the change of the SOC (State of Charge) by the rated capacity of the battery.
However, certain deviation exists in the data of the charging process, especially when charging is started, the charging pile is unstable, and the data is high; moreover, the SOH calculation charging process is difficult to determine, and SOH calculated by different charging processes can be quite different.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, an object of the present invention is to provide a method for calculating the health of a battery, a computer-readable storage medium, and an electronic device, so as to improve the accuracy of calculating the health of the battery.
To achieve the above object, an embodiment of a first aspect of the present invention provides a method for calculating a battery health, the method including: acquiring charging data of a target battery; calculating an accumulated SOC difference and an accumulated integral characteristic variable of each time period in each charging process of the target battery according to the charging data, wherein the accumulated integral characteristic variable comprises accumulated integral capacity and/or accumulated integral electric quantity; and performing linear fitting on the integrated integral characteristic variable and the integrated SOC difference, and calculating the battery health of the target battery according to a linear fitting result.
In addition, the method for calculating the battery health degree according to the embodiment of the invention can also have the following additional technical characteristics:
according to one embodiment of the present invention, the charging data of the target battery includes a charging start time, a charging end time, and electrical parameters of a plurality of time points of each charging process of the target battery; the calculating, according to the charging data, the accumulated SOC difference and the accumulated integral feature variable of each time period in each charging process of the target battery includes: segmenting the corresponding secondary charging process according to the charging start time and the charging end time of each charging process to obtain a plurality of time periods; and calculating the accumulated SOC difference and the accumulated integral characteristic variable of each time period according to the electric parameter of each time period.
According to one embodiment of the invention, a time interval consisting of two adjacent sampling time points of the electrical parameter is used as a time period.
According to one embodiment of the invention, the method further comprises: acquiring the accumulated charging times of the target battery; wherein, the obtaining the charging data of the target battery includes: comparing the accumulated charging times with preset times, and selecting the charging data from a charging record table of the target battery according to a comparison result.
According to one embodiment of the present invention, the selecting the charging data from the charging record table of the target battery according to the comparison result includes: if the accumulated charging times are smaller than or equal to the preset times, taking data in a charging record table corresponding to a charging process of the accumulated charging times as the charging data; and if the accumulated charging times are greater than the preset times, taking the data in the charging record table corresponding to the charging process of the latest preset times as the charging data.
According to one embodiment of the present invention, before the linear fitting of the integrated characteristic variable and the integrated SOC difference, the method further includes: and eliminating abnormal values of the accumulated SOC difference and the accumulated integral characteristic variable.
According to one embodiment of the present invention, the removing the outlier from the accumulated SOC difference and the accumulated integration feature variable includes: calculating the ratio of the accumulated integral characteristic variable to the accumulated SOC difference in each time period; and eliminating data except the upper and lower quartiles in the ratio as an abnormal value.
According to one embodiment of the present invention, the acquiring the charging data of the target battery includes: acquiring the ID of the target battery; and searching a charging record table of all batteries in the charging station according to the ID of the target battery to obtain charging data of the target battery.
To achieve the above object, a second aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-mentioned method for calculating the battery health.
To achieve the above object, an embodiment of a third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory, where the computer program, when executed by the processor, implements the above method for calculating a battery health degree.
According to the method for calculating the battery health degree, the computer readable storage medium and the electronic equipment, disclosed by the embodiment of the invention, the battery health degree of the target battery is calculated according to the linear fitting result by performing linear fitting on the accumulated integral characteristic variable and the accumulated SOC difference, so that the calculation accuracy of the battery health degree is improved, and the problem that the calculated battery health degree of the target battery deviates greatly from the battery health degree of the actual target battery due to the instability of current in the battery charging process is avoided.
Drawings
FIG. 1 is a flowchart of a method for calculating battery health according to an embodiment of the invention;
FIG. 2 is a flow chart of calculating the accumulated SOC difference and the accumulated integral feature variable for each time period during each charge of the target battery according to the charge data according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the coordinates of the accumulated SOC difference and the accumulated integration capacity according to an embodiment of the invention;
FIG. 4 is a schematic diagram illustrating the coordinates of the accumulated SOC difference and the accumulated integrated electric power according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of coordinates of the accumulated SOC difference and the accumulated integration capacity after eliminating outliers according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of coordinates of the accumulated SOC difference and the accumulated integrated electric quantity after eliminating abnormal values according to an embodiment of the present invention;
fig. 7 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
A method of calculating battery health, a computer-readable storage medium, and an electronic device according to embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method for calculating a battery health according to an embodiment of the invention.
As shown in fig. 1, the method for calculating the battery health includes:
s1, acquiring charging data of a target battery.
The charging data of the target battery can be stored in a charging record table of the charging equipment, and when the charging data needs to be acquired, the related data is directly read from the charging record table. The charging data may include, but is not limited to, an ID (Identity document, identification number) of the target battery, a time of each charging and a current value, a voltage value, and a power percentage of the target battery corresponding to a plurality of time points thereof.
S2, calculating an accumulated SOC difference and an accumulated integral characteristic variable of each time period in each charging process of the target battery according to the charging data, wherein the accumulated integral characteristic variable comprises accumulated integral capacity and/or accumulated integral electric quantity.
Specifically, the selection of the time period may be determined according to the current charging mode recorded in the charging record table. For example, in the fast charge mode, each time period may be selected to be shorter due to the shorter charge time; in the slow charge mode, each time period may be selected to be longer due to the longer charge time.
And S3, performing linear fitting on the integrated characteristic variable and the integrated SOC difference, and calculating the battery health of the target battery according to the linear fitting result.
Specifically, the linear fitting process may be to calculate the ratio of the plurality of accumulated integration capacities to the accumulated SOC difference (denoted as k capacity ) And for a plurality of k capacity A linear fit is performed, and the result of the linear fit can be expressed asThe linear fitting process may also be to calculate a plurality of ratios of the accumulated integrated charge to the accumulated SOC difference (denoted as k energy ) And for a plurality of k energy A linear fitting is performed, and the result of the linear fitting can be expressed as +.>
More specifically, the battery health of the target battery may be calculated by the following formula:
the battery health of the target battery can also be calculated by:
wherein Q is rated Indicating rated charge of target battery, C rated Indicating the rated capacity of the target battery.
According to the method for calculating the battery health degree, disclosed by the embodiment of the invention, the battery health degree of the target battery is calculated according to the linear fitting result by performing linear fitting on the integrated integral characteristic variable and the integrated SOC difference, so that the calculation accuracy of the battery health degree is improved, and the problem that the calculated battery health degree of the target battery is larger in deviation from the actual battery health degree of the target battery due to instability of current in the battery charging process is avoided.
In some embodiments of the invention, the charging data of the target battery includes a charging start time, a charging end time, and electrical parameters for a plurality of time points for each charging process of the target battery; as shown in fig. 2, calculating the accumulated SOC difference and the accumulated integral feature variable of each time period in each charging process of the target battery according to the charging data includes:
s21, segmenting the corresponding secondary charging process according to the charging start time and the charging end time of each charging process, and obtaining a plurality of time periods.
Specifically, a time interval composed of adjacent two sampling time points of the electrical parameter is taken as one time period.
As an example, the charging start time to the charging end time may be equally divided into n basic time periods, the first basic time period is taken as a first time period, the first basic time period and the second basic time period are accumulated to obtain a second time period, and the like, n time periods may be obtained. The two sampling time points in the first time period are the starting time point of the first basic time period and the ending time point of the first basic time period, the two sampling time points in the second time period are the starting time point of the first basic time period and the ending time point of the second basic time period, and so on.
S22, calculating the accumulated SOC difference and the accumulated integral characteristic variable of each time period according to the electric parameters of each time period.
Specifically, the cumulative integration capacity can be calculated by the following formula:
the accumulated integrated charge may be calculated by:
the accumulated SOC difference may be calculated by:
ΔSOC(t)＝SOC(t 2 )-SOC(t 1 )
where t represents time, I (t) represents a current value for charging the target battery at time t, V (t) represents a voltage value for charging the target battery at time t, and SOC (t) represents an electric quantity of the target battery at time t.
Optionally, the basic accumulated SOC difference and the basic accumulated integral feature variable in each basic time period may be calculated, and then the basic accumulated SOC difference and the basic accumulated integral feature variable are accumulated according to the basic time period in the time period, so as to obtain the accumulated SOC difference and the accumulated integral feature variable in each time period.
As an example, as shown in fig. 3, the integrated SOC difference for each period may be represented in a two-dimensional coordinate system with the integrated integration capacity as the abscissa. As shown in fig. 4, the integrated SOC difference for each time period may be represented in a two-dimensional coordinate system with the integrated electric quantity as an abscissa.
In this embodiment, by calculating the accumulated SOC difference and the accumulated integration feature variable for each period, it is convenient to visually express the calculation result.
In summary, the calculation formula of the battery health of the target battery can be expressed as:
the calculation formula of the battery health of the target battery can also be expressed as:
in some embodiments of the present invention, the method for calculating the battery health further includes: the accumulated charge number of the target battery is acquired. Wherein, obtain the charging data of target battery, include: comparing the accumulated charging times with preset times, and selecting charging data from a charging record table of the target battery according to the comparison result.
Specifically, selecting charging data from a charging record table of the target battery according to the comparison result includes: if the accumulated charging times are smaller than or equal to the preset times, taking the data in the charging record table corresponding to the charging process of the accumulated charging times as charging data; if the accumulated charging times are greater than the preset times, taking the data in the charging record table corresponding to the charging process of the latest preset times as charging data.
As one example, the preset number of times may be 30 times. For example, the accumulated charge number is greater than 30, and the latest 30 charge data are calculated to obtain the battery health of 30 target batteries.
In this embodiment, by comparing the accumulated charging times with the preset times, the charging data of a proper number of groups is selected, so that the accuracy of the battery health degree of the target battery obtained by calculation is conveniently analyzed, and by comparing the battery health degrees of the proper number of groups, the overall slow sliding trend of the battery health degree can be found, and the logic is met. The battery health of the target battery obtained by the calculation method is more reliable.
In some embodiments of the present invention, the method for calculating the battery health before performing the linear fitting on the integrated characteristic variable and the integrated SOC difference further includes: and eliminating abnormal values of the accumulated SOC difference and the accumulated integral characteristic variable.
In the embodiment, by eliminating the abnormal value, the problem that the charging equipment is unstable when the target battery starts to charge, so that the charging data is higher or lower and the linear fitting result is influenced can be avoided.
In some embodiments of the present invention, the removing of outliers from the accumulated SOC difference and the accumulated integral feature variable includes:
s41, calculating the ratio of the accumulated integral characteristic variable to the accumulated SOC difference in each time period.
S42, eliminating data except upper and lower quartiles in the ratio as an abnormal value.
As an example, as shown in fig. 5, data other than the upper and lower quartiles in the ratio of fig. 3 may be culled and then linear fit may be performed. As shown in fig. 6, data other than the upper and lower quartiles in the ratio of fig. 4 may be eliminated and then linear fit may be performed.
Specifically, all the calculated ratios can be sorted from small to large, and the first twenty-five percent and the last twenty-five percent of the data in all the ratios are removed.
As another example, if there is more ratio data in statistics (e.g., data in a slow charge case is calculated and the time period is selected to be short), the first thirty percent and the last thirty percent of all ratio ranks may be selected to be eliminated.
In the embodiment, the data except the upper and lower quartiles in the comparison value are removed, so that the linear fitting is facilitated, and the abnormal value is prevented from greatly influencing the linear fitting process, so that the accuracy of the calculated battery health degree is influenced.
In some embodiments of the present invention, obtaining charging data of a target battery includes:
s11, obtaining the ID of the target battery.
And S12, searching a charging record table of all batteries in the charging station according to the ID of the target battery to obtain charging data of the target battery.
It should be noted that, for the public charging device, a plurality of batteries will be overcharged in a period of time, and the data recorded in the charging record table is more and complex, which is not beneficial to timely searching the data, and the charging data of each battery can be classified and managed by the ID of the battery.
In the embodiment, the charging data of the target battery can be quickly found in the charging record table of all the batteries by acquiring the ID of the target battery, so that the working efficiency is improved, and the working time is saved.
Corresponding to the above embodiment, the present invention also provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the above method for calculating the battery health.
According to the computer readable storage medium, the battery health degree with higher accuracy can be obtained by executing the method for calculating the battery health degree.
Corresponding to the embodiment, the invention also provides electronic equipment.
Fig. 7 is a block diagram of an electronic device according to an embodiment of the present invention.
As shown in fig. 7, the electronic device 100 includes: a processor 101 and a memory 103. Wherein the processor 101 is coupled to the memory 103, such as via bus 102. Optionally, the electronic device 100 may also include a transceiver 104. It should be noted that, in practical applications, the transceiver 104 is not limited to one, and the structure of the electronic device 100 is not limited to the embodiment of the present invention.
The processor 101 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logical blocks, modules, and circuits described in connection with the present disclosure. The processor 101 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 102 may include a path to transfer information between the aforementioned components. Bus 102 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The bus 102 may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 7, but not only one bus or one type of bus.
The memory 103 is used to store a computer program corresponding to the method of calculating the battery health of the above-described embodiment of the present invention, which is controlled to be executed by the processor 101. The processor 101 is configured to execute a computer program stored in the memory 103 to implement what is shown in the foregoing method embodiments.
Among other things, the electronic device 100 includes, but is not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device 100 shown in fig. 7 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the invention.
According to the electronic equipment provided by the embodiment of the invention, the battery health degree with higher accuracy can be obtained by realizing the calculation method of the battery health degree, and the problem that the calculated battery health degree of the target battery deviates greatly from the battery health degree of the actual target battery due to unstable current in the battery charging process is avoided.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, for example, may be considered as a ordered listing of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (10)

1. A method for calculating a battery health, the method comprising:
acquiring charging data of a target battery;
calculating an accumulated SOC difference and an accumulated integral characteristic variable of each time period in each charging process of the target battery according to the charging data, wherein the accumulated integral characteristic variable comprises accumulated integral capacity and/or accumulated integral electric quantity;
and performing linear fitting on the integrated integral characteristic variable and the integrated SOC difference, and calculating the battery health of the target battery according to a linear fitting result.
2. The method according to claim 1, wherein the charging data of the target battery includes a charging start time, a charging end time, and electrical parameters at a plurality of time points for each charging process of the target battery; the calculating, according to the charging data, the accumulated SOC difference and the accumulated integral feature variable of each time period in each charging process of the target battery includes:
segmenting the corresponding secondary charging process according to the charging start time and the charging end time of each charging process to obtain a plurality of time periods;
and calculating the accumulated SOC difference and the accumulated integral characteristic variable of each time period according to the electric parameter of each time period.
3. The method according to claim 2, wherein a time zone consisting of adjacent two sampling time points of the electrical parameter is taken as one time zone.
4. A method of calculating battery health according to any one of claims 1-3, further comprising:
acquiring the accumulated charging times of the target battery;
wherein, the obtaining the charging data of the target battery includes:
comparing the accumulated charging times with preset times, and selecting the charging data from a charging record table of the target battery according to a comparison result.
5. The method according to claim 4, wherein selecting the charge data from the charge record table of the target battery according to the comparison result, comprises:
if the accumulated charging times are smaller than or equal to the preset times, taking data in a charging record table corresponding to a charging process of the accumulated charging times as the charging data;
and if the accumulated charging times are greater than the preset times, taking the data in the charging record table corresponding to the charging process of the latest preset times as the charging data.
6. The method of calculating battery health according to any one of claims 1 to 3, wherein before the linear fitting of the integrated characteristic variable and the integrated SOC difference, the method further comprises:
and eliminating abnormal values of the accumulated SOC difference and the accumulated integral characteristic variable.
7. The method of claim 6, wherein the removing outliers from the accumulated SOC difference and the accumulated integral feature variable comprises:
calculating the ratio of the accumulated integral characteristic variable to the accumulated SOC difference in each time period;
and eliminating data except the upper and lower quartiles in the ratio as an abnormal value.
8. The method of claim 1, wherein the obtaining the charge data of the target battery comprises:
acquiring the ID of the target battery;
and searching a charging record table of all batteries in the charging station according to the ID of the target battery to obtain charging data of the target battery.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of calculating the battery health according to any one of claims 1-8.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the computer program, when executed by the processor, implements the method of calculating the battery health according to any one of claims 1-8.
CN202310690784.4A 2023-06-09 2023-06-09 Method for calculating battery health, computer-readable storage medium, and electronic device Pending CN116643189A (en)

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Application Number Priority Date Filing Date Title
CN202310690784.4A CN116643189A (en) 2023-06-09 2023-06-09 Method for calculating battery health, computer-readable storage medium, and electronic device

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