CN115508714A - Method and device for estimating and calibrating battery health degree and electronic equipment - Google Patents

Method and device for estimating and calibrating battery health degree and electronic equipment Download PDF

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CN115508714A
CN115508714A CN202211345871.8A CN202211345871A CN115508714A CN 115508714 A CN115508714 A CN 115508714A CN 202211345871 A CN202211345871 A CN 202211345871A CN 115508714 A CN115508714 A CN 115508714A
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battery
charging
health
rain flow
life cycle
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柯鹏
钱磊
朱卓敏
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Shanghai Powershare Information Technology Co ltd
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Shanghai Powershare Information Technology Co ltd
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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]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • 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]
    • G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
    • 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
    • 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

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  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention provides a method, a device and electronic equipment for estimating and calibrating battery health degree, which relate to the technical field of power battery health assessment and comprise the steps of obtaining battery life cycle data; estimating the health degree of the battery according to the life cycle data of the battery by an ampere-hour integration method; splitting the life cycle data of the battery by a rain flow counting method to obtain a stress value of rain flow circulation; the health degree of the battery is in one-to-one correspondence with stress values of rain flow circulation, and parameter values of an attenuation reference curve of the battery are determined; and correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation. The invention reduces the harsh condition of using an ampere-hour integration method, reduces the experiment cost and expands the application range.

Description

Method and device for estimating and calibrating battery health degree and electronic equipment
Technical Field
The invention relates to the technical field of power battery health assessment, in particular to a method and a device for estimating and calibrating battery health degree and electronic equipment.
Background
At present, the mainstream method for calculating the health degree of the battery is an ampere-hour integration method, and the method has higher requirements on the accuracy of a sensor and the data transmission frequency. Meanwhile, the ambient temperature, the current stability and the like all affect the calculation result. Therefore, the ampere-hour integration method is relatively harsh in use conditions, and if the conditions are directly ignored, the calculated battery health degree will fluctuate greatly.
Therefore, a method, an apparatus and an electronic device for estimating and calibrating the health of a battery are provided.
Disclosure of Invention
The specification provides a method, a device and electronic equipment for estimating and calibrating the health degree of a battery, which reduce the harsh conditions of using an ampere-hour integration method, reduce the experiment cost and expand the application range.
The present specification provides a method of estimating and calibrating battery health, comprising:
acquiring life cycle data of the battery;
estimating the health degree of the battery according to the life cycle data of the battery by an ampere-hour integration method;
splitting the life cycle data of the battery by a rain flow counting method to obtain a stress value of rain flow circulation;
the health degree of the battery is in one-to-one correspondence with the stress value of the rain flow circulation, and the parameter value of the attenuation reference curve of the battery is determined;
and correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation.
Optionally, before estimating the health degree of the battery according to the battery life cycle data by an ampere-hour integration method, the method includes:
extracting the charging behavior of the battery from the life cycle data of the battery, specifically comprising:
the battery life cycle data comprises the residual electric quantity at the moment when the battery finishes charging and the residual electric quantity at the moment when the battery starts charging;
judging whether the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value;
and when the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value, extracting the charging behavior of the battery, and recording a start index and an end index which accord with the condition data.
Optionally, the estimating the health degree of the battery by using the battery life cycle data through an ampere-hour integration method includes:
Figure BDA0003918322730000021
wherein I is the current during charging, t start To the charge start time, t end For end of charge time, cap init The SOH is the battery initial capacity and the battery health.
Optionally, the splitting the battery life cycle data by a rain flow counting method to obtain a stress value of a rain flow cycle includes:
the battery life cycle data comprises residual electric quantity and acquisition time;
and splitting the residual electric quantity and the acquisition time into different rain flow circulation times, recording the end time of all rain flow circulation, and calculating to obtain a stress value of the rain flow circulation, wherein the stress value of the rain flow circulation comprises the average residual capacity, the discharge depth, the average temperature and the elapsed time of the rain flow circulation process.
Optionally, correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow cycle, includes:
determining the loss amount of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation;
correcting the battery health in accordance with the amount of loss of the battery.
An apparatus for estimating and calibrating battery health, comprising:
the acquisition module is used for acquiring the life cycle data of the battery;
the estimation module is used for estimating the health degree of the battery according to the life cycle data of the battery by an ampere-hour integration method;
the splitting module is used for splitting the battery life cycle data by a rain flow counting method to obtain a stress value of rain flow circulation;
the corresponding module is used for corresponding the health degree of the battery to the stress value of the rain flow circulation one by one and determining the parameter value of the attenuation reference curve of the battery;
and the correction module is used for correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation.
Optionally, before the estimation module, the estimation module includes:
extracting the charging behavior of the battery from the life cycle data of the battery, specifically comprising:
the battery life cycle data comprises the residual electric quantity at the moment when the battery finishes charging and the residual electric quantity at the moment when the battery starts charging;
judging whether the difference value between the residual capacity at the moment when the charging of the battery is finished and the residual capacity at the moment when the charging of the battery is started is larger than a threshold value or not;
and when the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value, extracting the charging behavior of the battery, and recording a start index and an end index which accord with the condition data.
Optionally, the correction module includes:
Figure BDA0003918322730000041
wherein I is the current during charging, t start To the charge start time, t end For end of charge time, cap init The SOH is the battery initial capacity and the battery health.
Optionally, the splitting the battery life cycle data by a rain flow counting method to obtain a stress value of a rain flow cycle includes:
the battery life cycle data comprises residual electric quantity and acquisition time;
and splitting the residual electric quantity and the acquisition time into different rain flow circulation times, recording the end time of all rain flow circulation, and calculating to obtain a stress value of the rain flow circulation, wherein the stress value of the rain flow circulation comprises the average residual capacity, the discharge depth, the average temperature and the elapsed time of the rain flow circulation process.
Optionally, correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow cycle, includes:
determining the loss amount of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation;
correcting the battery health in accordance with the amount of loss of the battery.
The present specification also provides an electronic device, wherein the electronic device includes:
a processor; and the number of the first and second groups,
a memory storing computer-executable instructions that, when executed, cause the processor to perform any of the methods described above.
The present specification also provides a computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement any of the methods described above.
In the specification, the harsh condition of using an ampere-hour integration method is reduced, the experiment cost is reduced, and the application range is expanded.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating a method for estimating and calibrating a health degree of a battery according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an apparatus for estimating and calibrating a health degree of a battery according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present specification.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
Exemplary embodiments of the present invention are described more fully below with reference to the accompanying figures 1-4. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals denote the same or similar elements, components, or parts in the drawings, and thus their repetitive description will be omitted.
Features, structures, characteristics or other details described in a particular embodiment do not preclude the fact that the features, structures, characteristics or other details may be combined in a suitable manner in one or more other embodiments in accordance with the technical idea of the invention.
In describing particular embodiments, the present invention has been described with reference to features, structures, characteristics or other details that are within the purview of one skilled in the art to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific features, structures, characteristics, or other details.
The flowcharts shown in the figures are illustrative only and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The term "and/or" and/or "includes all combinations of any one or more of the associated listed items.
Fig. 1 is a schematic diagram of a method for estimating and calibrating a health degree of a battery according to an embodiment of the present disclosure, where the method may include:
s110: acquiring life cycle data of the battery;
in a specific embodiment of the present specification, the battery life cycle data includes a charge/discharge state, a total current, a collection time, a maximum temperature, a minimum temperature, a remaining capacity, and the like.
Optionally, before the battery life cycle data is used for estimating the battery health degree through an ampere-hour integration method, the method includes:
extracting the charging behavior of the battery from the battery life cycle data, which specifically comprises the following steps:
the battery life cycle data comprises the residual electric quantity at the moment when the battery finishes charging and the residual electric quantity at the moment when the battery starts charging;
judging whether the difference value between the residual capacity at the moment when the charging of the battery is finished and the residual capacity at the moment when the charging of the battery is started is larger than a threshold value or not;
and when the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value, extracting the charging behavior of the battery, and recording a start index and an end index which accord with the condition data.
In the specific embodiment of the present specification, the threshold value is generally 50 or more depending on the specific battery type and the actual data condition.
S120: estimating the health degree of the battery according to the life cycle data of the battery by an ampere-hour integration method;
optionally, the estimating the health degree of the battery by using the battery life cycle data through an ampere-hour integration method includes:
Figure BDA0003918322730000081
wherein I is the current during charging, t start Is a charge start time (start index start) i Acquisition time corresponding to time), t end To the end time of charging (end index end) i Acquisition time corresponding to time), cap init The SOH is the battery initial capacity and the battery health.
In a specific embodiment of the present description, the charging start time includes a collection time corresponding to a start index, and the charging end time includes a collection time corresponding to an end index. Recording the SOH and the acquisition time t corresponding to all charging behaviors meeting the conditions, and recording the SOH and the acquisition time t as a collection A, wherein the list names are respectively as follows: SOH A And t.
S130: splitting the life cycle data of the battery by a rain flow counting method to obtain a stress value of rain flow circulation;
optionally, the splitting the battery life cycle data by a rain flow counting method to obtain a stress value of a rain flow cycle includes:
the battery life cycle data comprises residual electric quantity and acquisition time;
and splitting the residual electric quantity and the acquisition time into different rain flow circulation times, recording the end time of all rain flow circulation, and calculating to obtain a stress value of the rain flow circulation, wherein the stress value of the rain flow circulation comprises the average residual capacity, the discharge depth, the average temperature and the elapsed time of the rain flow circulation process.
In the embodiment of the present specification, the discharge depth, i.e., the discharge start SOC minus the discharge end SOC, is set to 0. The stress values of the rain flow cycle are recorded as set B.
S140: the health degree of the battery is in one-to-one correspondence with the stress value of the rain flow circulation, and the parameter value of the attenuation reference curve of the battery is determined;
s150: and correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation.
Optionally, correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow cycle, includes:
determining the loss amount of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation;
correcting the battery health in accordance with the amount of loss of the battery.
In the embodiment of the present specification, the set B is a fully-connected set a with a time t as a reference field, and is denoted as a set C. Sorting the set C by time t, and sorting the SOH of the set C A The fields are linearly filled with reference to time t. Collecting C, taking time t as reference, and collecting SOH A And performing difference every two. Calculate the SOH of each time loss . According to the formula:
Figure BDA0003918322730000101
wherein f is d,1 ＝[S δ (δ)+S t (t)]S σ (σ)S T (T)，
Figure BDA0003918322730000102
Figure BDA0003918322730000103
S t (t)＝k t t,S δ,e (δ)＝k δ,e1 δexp(k δ,e2 δ) and C sets.
Alpha is identified according to some mathematical function optimization method (such as pysci framework) sei ,β sei ,k T ,k σ ,k t ,k δ,e1 ,k δ,e2 The optimum value of (c).
In the specification, the harsh conditions of the ampere-hour integration method are reduced, the experiment cost is reduced, and the application range is expanded.
Fig. 2 is a schematic diagram of an apparatus for estimating and calibrating a battery health degree according to an embodiment of the present disclosure, where the apparatus may include:
the acquisition module 10 is used for acquiring the life cycle data of the battery;
the estimation module 20 is used for estimating the health degree of the battery according to the battery life cycle data by an ampere-hour integration method;
the splitting module 30 is configured to split the battery life cycle data by a rain flow counting method to obtain a stress value of a rain flow cycle;
the corresponding module 40 is used for corresponding the health degree of the battery to the stress value of the rain flow circulation one by one and determining the parameter value of the attenuation reference curve of the battery;
a correction module 50 for correcting the battery health based on the parameter value of the decay reference curve of the battery and the stress value of the rain flow cycle.
Optionally, before the estimation module 20, the method includes:
extracting the charging behavior of the battery from the battery life cycle data, which specifically comprises the following steps:
the battery life cycle data comprises the residual electric quantity at the moment when the battery finishes charging and the residual electric quantity at the moment when the battery starts charging;
judging whether the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value;
and when the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value, extracting the charging behavior of the battery, and recording a start index and an end index which accord with the condition data.
Optionally, the correction module 50 includes:
Figure BDA0003918322730000121
wherein I is the current during charging, t start To the charge start time, t end For end of charge time, cap init The SOH is the battery initial capacity and the battery health.
Optionally, the splitting the battery life cycle data by a rain flow counting method to obtain a stress value of a rain flow cycle includes:
the battery life cycle data comprises residual electric quantity and acquisition time;
and splitting the residual electric quantity and the acquisition time into different rain flow circulation times, recording the end time of all rain flow circulation, and calculating to obtain a stress value of the rain flow circulation, wherein the stress value of the rain flow circulation comprises the average residual capacity, the discharge depth, the average temperature and the experience time of the rain flow circulation process.
Optionally, correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow cycle, includes:
determining the loss amount of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation;
correcting the battery health in accordance with the amount of loss of the battery.
The functions of the apparatus in the embodiment of the present invention have been described in the above method embodiments, so that reference may be made to the related descriptions in the foregoing embodiments for details that are not described in the present embodiment, and further details are not described herein.
Based on the same inventive concept, the embodiment of the specification further provides the electronic equipment.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as specific physical implementations for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
Fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. An electronic device 300 according to this embodiment of the invention is described below with reference to fig. 3. The electronic device 300 shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 3, electronic device 300 is embodied in the form of a general purpose computing device. The components of electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one memory unit 320, a bus 330 that couples various system components including the memory unit 320 and the processing unit 310, a display unit 340, and the like.
Wherein the storage unit stores program code executable by the processing unit 310 to cause the processing unit 310 to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned processing method section of the present specification. For example, the processing unit 310 may perform the steps as shown in fig. 1.
The storage unit 320 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM) 3201 and/or a cache storage unit 3202, and may further include a read only memory unit (ROM) 3203.
The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 330 may be one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a viewer to interact with the electronic device 300, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 300 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 350. Also, the electronic device 300 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 360. Network adapter 360 may communicate with other modules of electronic device 300 via bus 330. It should be appreciated that although not shown in FIG. 3, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, or a network device, etc.) execute the above method according to the present invention. The computer program, when executed by a data processing apparatus, enables the computer readable medium to implement the above-described method of the invention, namely: such as the method shown in fig. 1.
Fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present specification.
A computer program implementing the method shown in fig. 1 may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the viewer's computing device, partly on the viewer's device, as a stand-alone software package, partly on the viewer's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the viewer computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in embodiments in accordance with the invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP). The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.

Claims (10)

1. A method for estimating and calibrating battery health, comprising:
acquiring life cycle data of the battery;
estimating the health degree of the battery according to the life cycle data of the battery by an ampere-hour integration method;
splitting the life cycle data of the battery by a rain flow counting method to obtain a stress value of rain flow circulation;
the health degree of the battery is in one-to-one correspondence with the stress value of the rain flow circulation, and the parameter value of the attenuation reference curve of the battery is determined;
and correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation.
2. The method of estimating and calibrating battery health as claimed in claim 1, wherein before estimating battery health from said battery life cycle data by ampere-hour integration, comprising:
extracting the charging behavior of the battery from the battery life cycle data, which specifically comprises the following steps:
the battery life cycle data comprises the residual electric quantity at the moment when the battery finishes charging and the residual electric quantity at the moment when the battery starts charging;
judging whether the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value;
and when the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value, extracting the charging behavior of the battery, and recording a start index and an end index which accord with the condition data.
3. The method for estimating and calibrating the health of a battery as claimed in claim 2, wherein the estimating the health of the battery by ampere-hour integration of the life cycle data of the battery comprises:
Figure FDA0003918322720000021
wherein I is the current during charging, t start To the charge start time, t end For end of charge time, cap init The SOH is the battery initial capacity and the battery health.
4. The method for estimating and calibrating the health of a battery according to claim 3, wherein the splitting the life cycle data of the battery by a rain flow counting method to obtain stress values of rain flow circulation comprises:
the battery life cycle data comprises residual electric quantity and acquisition time;
and splitting the residual electric quantity and the acquisition time into different rain flow circulation times, recording the end time of all rain flow circulation, and calculating to obtain a stress value of the rain flow circulation, wherein the stress value of the rain flow circulation comprises the average residual capacity, the discharge depth, the average temperature and the elapsed time of the rain flow circulation process.
5. The method of estimating and calibrating battery health of claim 4, wherein correcting the battery health based on the parameter value of the decay reference curve of the battery and the stress value of the rain cycle comprises:
determining the loss amount of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation;
correcting the battery health in accordance with the amount of loss of the battery.
6. An apparatus for estimating and calibrating battery health, comprising:
the acquisition module is used for acquiring life cycle data of the battery;
the estimation module is used for estimating the health degree of the battery according to the life cycle data of the battery by an ampere-hour integration method;
the splitting module is used for splitting the battery life cycle data by a rain flow counting method to obtain a stress value of rain flow circulation;
the corresponding module is used for corresponding the health degree of the battery to the stress value of the rain flow circulation one by one and determining the parameter value of the attenuation reference curve of the battery;
and the correction module is used for correcting the health degree of the battery based on the parameter value of the attenuation reference curve of the battery and the stress value of the rain flow circulation.
7. The apparatus for estimating and calibrating battery health of claim 6, wherein the estimation module is preceded by:
extracting the charging behavior of the battery from the battery life cycle data, which specifically comprises the following steps:
the battery life cycle data comprises the residual electric quantity at the moment when the battery finishes charging and the residual electric quantity at the moment when the battery starts charging;
judging whether the difference value between the residual capacity at the moment when the charging of the battery is finished and the residual capacity at the moment when the charging of the battery is started is larger than a threshold value or not;
and when the difference value between the residual capacity of the battery at the moment when the charging of the battery is finished and the residual capacity of the battery at the moment when the charging of the battery is started is larger than a threshold value, extracting the charging behavior of the battery, and recording a start index and an end index which accord with the condition data.
8. The apparatus for estimating and calibrating battery health of claim 7, wherein the calibration module comprises:
Figure FDA0003918322720000041
wherein I is the current during charging, t start To the charge start time, t end For end of charge time, cap init The SOH is the battery initial capacity and the battery health.
9. An electronic device, wherein the electronic device comprises:
a processor; and the number of the first and second groups,
a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-5.
10. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-5.
CN202211345871.8A 2022-10-31 2022-10-31 Method and device for estimating and calibrating battery health degree and electronic equipment Pending CN115508714A (en)

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