CN115201698A - Method and system for evaluating state of health of battery - Google Patents

Method and system for evaluating state of health of battery Download PDF

Info

Publication number
CN115201698A
CN115201698A CN202211110359.5A CN202211110359A CN115201698A CN 115201698 A CN115201698 A CN 115201698A CN 202211110359 A CN202211110359 A CN 202211110359A CN 115201698 A CN115201698 A CN 115201698A
Authority
CN
China
Prior art keywords
battery
state
time
charge
health
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202211110359.5A
Other languages
Chinese (zh)
Other versions
CN115201698B (en
Inventor
韩美琳
王经纬
李沛阳
刘致远
李汶轩
于纪平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dafenqi Power Technology Beijing Co ltd
Original Assignee
Dafenqi Power Technology Beijing Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dafenqi Power Technology Beijing Co ltd filed Critical Dafenqi Power Technology Beijing Co ltd
Priority to CN202211110359.5A priority Critical patent/CN115201698B/en
Publication of CN115201698A publication Critical patent/CN115201698A/en
Application granted granted Critical
Publication of CN115201698B publication Critical patent/CN115201698B/en
Priority to PCT/CN2023/115464 priority patent/WO2024055838A1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/378Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
    • G01R31/379Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator for lead-acid batteries
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health

Abstract

The disclosed embodiments provide a method and system for battery state of health assessment, the method comprising: when the time that the vehicle is in the dormant state exceeds a preset threshold value, acquiring first time, first voltage and first ambient temperature when the vehicle starts the dormant state, and second time, second voltage and second ambient temperature before the vehicle finishes the dormant state; acquiring a first battery charge state of a battery corresponding to the first voltage and a second battery charge state of a battery corresponding to the second voltage when the average value of the first ambient temperature and the second ambient temperature is obtained; and calculating the state of health of the battery based on the dark current in the sleep state, the difference between the first battery state of charge and the second battery state of charge, the difference between the second time and the first time, and the fresh battery capacity. Through the processing scheme of the present disclosure, the health state of the battery can be monitored in real time while the cost of the sensor is saved.

Description

Method and system for evaluating state of health of battery
Technical Field
The invention relates to the technical field of new energy, in particular to a method and a system for evaluating the health state of a battery.
Background
The state of health of a lead-acid battery for vehicle startup is generally evaluated using the age of the battery, which is typically replaced periodically for 1-2 years. However, after the vehicle-mounted starting storage battery is in power shortage, the health state of the battery can be rapidly reduced, the daily use requirement can not be met any more, and the phenomenon that the vehicle cannot be started can occur for a fuel vehicle; for a new energy vehicle, the power consumption of the vehicle is increased due to frequent power supplement of the starting battery by the high-voltage battery pack, and even the electric quantity of the high-voltage battery is obviously reduced after the vehicle is placed for a long time.
The general methods for evaluating the state of health of a battery in the prior art can be classified into an off-line detection method and an on-line detection method. The off-line detection method is to disassemble the battery and use professional equipment for detection, and the method for detecting the health state of the battery by using a professional detection device has high accuracy, but is inconvenient for users to disassemble the storage battery; on-line detection methods, such as simple correction methods, model-based methods, big data-based methods, etc., require measuring real-time current information of the battery, while vehicles are generally free of such sensors, and adding additional sensors would result in increased costs.
Therefore, there is a need for a method that can estimate the state of health of an on-board lead-acid battery without adding additional devices.
Disclosure of Invention
In view of the above, the embodiments of the present disclosure provide a method for battery state of health estimation, which at least partially solves the problems in the prior art.
In a first aspect, an embodiment of the present disclosure provides a method for battery state of health assessment, the method including the steps of:
acquiring cloud data, wherein the cloud data comprises the time when a vehicle is in a dormant state, dark current in the dormant state and a battery state of charge-discharge open-circuit voltmeter;
when the time of the vehicle in the dormant state exceeds a preset threshold value, acquiring first state information of the vehicle starting to enter the dormant state and second state information of the vehicle before the vehicle finishes the dormant state and enters a charging state, wherein the first state information comprises first time of the vehicle starting to enter the dormant state, first voltage and first ambient temperature of a battery at the first time, and the second state information comprises second time of the vehicle finishing to enter the charging state, second voltage and second ambient temperature of the battery at the second time;
acquiring a first battery state of charge of the battery corresponding to the first voltage and a second battery state of charge of the battery corresponding to the second voltage when the average value of the first ambient temperature and the second ambient temperature is obtained according to the battery state of charge-discharge open-circuit voltmeter;
calculating the state of health of the battery based on the dark current in the sleep state, the difference between the first battery state of charge and the second battery state of charge, the difference between the second time and the first time, and the fresh battery capacity.
According to a specific implementation manner of the embodiment of the present disclosure, the calculating the state of health of the battery includes calculating the state of health of the battery based on the following equation 1:
Figure 841904DEST_PATH_IMAGE002
8230\ 8230equation 1
Wherein the content of the first and second substances,SOHit is the state of health of the battery,
Figure 247478DEST_PATH_IMAGE004
is a dark current that is a current flowing in the light,
Figure 483287DEST_PATH_IMAGE006
is the difference between the second time and the first time,
Figure 556285DEST_PATH_IMAGE008
is the difference between the first battery state of charge and the second battery state of charge,Capfresh battery capacity.
According to a specific implementation manner of the embodiment of the present disclosure, the method further includes updating the state of health of the battery based on the following equation 2:
Figure 88023DEST_PATH_IMAGE010
8230\ 8230equation 2
Wherein, the first and the second end of the pipe are connected with each other,
Figure 100002_DEST_PATH_IMAGE012
for the purpose of the updated state of health of the battery,
Figure 100002_DEST_PATH_IMAGE014
in order to be in the current state of health of the battery,iin order to count the number of times of the battery state,
Figure 100002_DEST_PATH_IMAGE016
is the most recently calculatediThe state of health of the secondary battery.
According to a specific implementation manner of the embodiment of the present disclosure, whether the battery needs to be replaced is determined according to the updated battery health status and a preset battery health status threshold.
According to a specific implementation manner of the embodiment of the present disclosure, the method further includes obtaining the battery state of charge-discharge open-circuit voltmeter by the following method:
acquiring dark current of a vehicle in a dormant state;
charging the battery to a battery state of charge of 100%, and discharging the battery through the dark current when the battery reaches thermal equilibrium to obtain a discharge open-circuit voltage curve of the battery;
acquiring the battery charge state of the battery in the discharging process; and
and corresponding the battery charge state to the discharge open-circuit voltage curves one by one to obtain a battery charge state-discharge open-circuit voltmeter.
According to a specific implementation manner of the embodiment of the present disclosure, the method further includes calculating a battery state of charge during the discharging process of the battery based on the following equation 3:
Figure 100002_DEST_PATH_IMAGE018
8230\ 8230equation 3
Wherein the content of the first and second substances,SOCthe state of charge of the battery during discharge is performed for the battery,
Figure 371105DEST_PATH_IMAGE004
in order to be a dark current, the current,tin order to test the length of time,Capis the capacity of a fresh battery.
In a second aspect, embodiments of the present disclosure provide a system for battery state of health assessment, the system comprising:
a data acquisition module configured for
Acquiring cloud data, wherein the cloud data comprises the time when a vehicle is in a dormant state, dark current in the dormant state and a battery charge state-discharge open-circuit voltmeter;
when the time of the vehicle in the dormant state exceeds a preset threshold value, acquiring first state information of the vehicle starting to enter the dormant state and second state information of the vehicle before the vehicle finishes the dormant state and enters a charging state, wherein the first state information comprises first time of the vehicle starting to enter the dormant state, first voltage and first ambient temperature of a battery at the first time, and the second state information comprises second time of the vehicle finishing to enter the charging state, second voltage and second ambient temperature of the battery at the second time;
a data processing module configured to
Acquiring a first battery charge state of a battery corresponding to the first voltage and a second battery charge state of a battery corresponding to the second voltage when the battery charge state-discharge open-circuit voltmeter is at an average value of the first ambient temperature and the second ambient temperature;
calculating the state of health of the battery based on the dark current in the sleep state, the difference between the first battery state of charge and the second battery state of charge, the difference between the second time and the first time, and the fresh battery capacity.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, where the electronic device includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, which when executed by the at least one processor, cause the at least one processor to perform the method for battery state of health assessment according to the first aspect described above.
In a fourth aspect, the disclosed embodiments also provide a non-transitory computer-readable storage medium storing computer instructions that, when executed by at least one processor, cause the at least one processor to perform the method for battery state of health assessment as set forth in the first aspect.
In a fifth aspect, the disclosed embodiments also provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method for battery state of health assessment as described in the first aspect.
According to the method for evaluating the health state of the battery, the health state of the vehicle-mounted lead-acid storage battery is estimated under the condition that no additional device is added by using data uploaded to a cloud end by an intelligent vehicle-mounted terminal T-BOX (telematics-BOX). Through this disclosed scheme, detect battery health under the circumstances that does not increase extra cost, avoid appearing the vehicle because of the unable start-up of vehicle that the battery health situation descends and because of the high voltage battery package increases the vehicle power consumption that the starting battery frequently mends the electricity and leads to or the obvious problem of high voltage battery electric quantity decline after long-time the placing.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for battery state of health assessment according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a method for obtaining a battery state of charge-discharge open-circuit voltmeter according to an embodiment of the disclosure;
FIG. 3 is a schematic diagram illustrating the voltage of a battery over time from time t1 to time t2 provided by an embodiment of the present disclosure; and
fig. 4 is a schematic diagram of a system for battery state of health assessment provided by an embodiment of the present disclosure.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It should be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without inventive step, are intended to be within the scope of the present disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the appended claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the disclosure, one skilled in the art should appreciate that one aspect described herein may be implemented independently of any other aspects and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. Additionally, such an apparatus may be implemented and/or such a method may be practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present disclosure, and the drawings only show the components related to the present disclosure rather than the number, shape and size of the components in actual implementation, and the type, amount and ratio of the components in actual implementation may be changed arbitrarily, and the layout of the components may be more complicated.
In addition, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects may be practiced without these specific details.
According to the method and the system for evaluating the health state of the battery, provided by the embodiment of the invention, the health state of the vehicle-mounted lead-acid storage battery can be estimated under the condition that no additional device is added by utilizing data uploaded to a cloud terminal by a vehicle-mounted T-BOX (intelligent-BOX).
After the vehicle is awakened, the energy consumption of the whole vehicle is large, the battery can be continuously charged, and after the vehicle is dormant, the dark current of the vehicle is generally stable, so the method for evaluating the health state of the battery after the vehicle is dormant is adopted, and the interference of abnormal data is prevented by adopting a mode of continuous detection within a period of time. The method and system according to the invention will be described in detail below with reference to fig. 1 to 4.
Fig. 1 is a flowchart illustrating a method 100 for battery state of health assessment according to an embodiment of the disclosure.
As shown in fig. 1, in step S102, a period of cloud data is selected.
In the embodiment of the invention, the vehicle information is transmitted to the vehicle-mounted T-box cloud in real time.
More specifically, the cloud data includes the time the vehicle was in a sleep state, the dark current in the sleep state, and the battery state of charge-discharge open circuit voltmeter.
The dark current is calibration data before the vehicle leaves a factory, namely the current generated when the vehicle is in a dormant state.
The battery state of charge-discharge open-circuit voltmeter is a battery state of charge meter corresponding to the battery voltage at different temperatures.
The state of charge (SOC) refers to a ratio of the remaining battery capacity to the total available battery capacity.
It next goes to step S104.
At step S104, it is determined whether the time of the sleep state exceeds a preset threshold.
When the time that the vehicle is in the sleep state does not exceed the preset threshold, the method goes to step S102 to re-acquire the cloud data until the time that the vehicle is in the sleep state exceeds the preset threshold.
In the embodiment of the present invention, the time during which the vehicle is in the sleep state is in units of hours, but is not limited thereto.
And when the time that the vehicle is in the dormant state exceeds a preset threshold value, the step S106 is entered.
At step S106, the time at which the vehicle starts the sleep state, and the voltage of the corresponding battery and the ambient temperature are acquired.
More specifically, first state information of the vehicle at the beginning of entering the sleep state (or information when the vehicle begins to enter the sleep state) is obtained, wherein the first state information comprises a first time when the vehicle begins to enter the sleep state, and a first voltage and a first ambient temperature of a battery at the first time.
As shown in fig. 2, a time T1 at which the battery sleep time exceeds a preset threshold value, a voltage V1 of the battery at this time, and an ambient temperature T1 (not shown in fig. 2) are acquired.
It next goes to step S108.
At step S108, the time until the vehicle ends the resting state, enters the charging state, and the voltage and ambient temperature of the corresponding battery are acquired.
More specifically, second state information (or information when the vehicle finishes the dormant state) of the vehicle before the vehicle finishes the dormant state and enters the charging state is obtained, and the second state information comprises a second time before the vehicle finishes the dormant state and enters the charging state, and a second voltage and a second ambient temperature of the battery at the second time.
As shown in fig. 2, a time T2 at which the battery ends the resting state, a voltage V2 of the battery at this time, and an ambient temperature T2 (not shown in fig. 2) are acquired.
It next goes to step S110.
At step S110, the battery state of health is calculated.
The state of health (SOH) of the battery, i.e., the battery health, represents the current total capacity of the battery as a percentage of the fresh battery capacity (factory battery capacity).
Specifically, a first battery state of charge of the battery corresponding to the first voltage and a second battery state of charge of the battery corresponding to the second voltage when the average value of the first ambient temperature T1 and the second ambient temperature T2 is obtained according to a battery state of charge-discharge open-circuit voltmeter (a method of obtaining the battery state of charge-discharge open-circuit voltmeter will be described in detail with reference to fig. 3 later); and calculating the state of health of the battery based on the dark current in the sleep state, the difference between the first battery state of charge and the second battery state of charge, the difference between the second time and the first time, and the fresh battery capacity.
More specifically, in the embodiment of the present invention, the state of health of the battery is calculated based on the following equation 1:
Figure DEST_PATH_IMAGE020
8230\ 8230equation 1
Wherein the content of the first and second substances,SOHit is the state of health of the battery,
Figure 505546DEST_PATH_IMAGE004
is a dark current that is a current flowing in the light,
Figure 573996DEST_PATH_IMAGE006
is the difference between the second time and the first time,
Figure DEST_PATH_IMAGE021
is the difference between the first battery state of charge and the second battery state of charge,Capfresh battery capacity.
A battery state of health value can be calculated according to equation 1 based on the power consumption process during a sleep period (from when the time of the sleep state exceeds a preset threshold until the next charge).
It next goes to step S112.
At step S112, the current battery state of health is updated according to the battery state of health calculated at step S110.
After the battery health state is calculated each time, the existing battery health state needs to be updated once.
In an embodiment of the present invention, the state of health of the battery is updated based on the following equation 2:
Figure DEST_PATH_IMAGE022
8230 \ 8230and equation 2
Wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE023
for the purpose of the updated state of health of the battery,
Figure DEST_PATH_IMAGE024
in order to be in a current state of health of the battery,iin order to count the number of times of the battery state,
Figure 666848DEST_PATH_IMAGE016
is the most recently calculatediThe state of health of the secondary battery.
It next goes to step S114.
At step S114, it is determined whether the battery state of health reaches a state of health threshold for the battery.
When the updated battery health state does not exceed the preset battery health state threshold, the method goes to step S102 to continue monitoring the battery health state.
When the updated battery state of health exceeds the preset battery state of health threshold, the process proceeds to step S116.
At step S116, the user is prompted to perform maintenance to determine whether the battery needs to be replaced.
Fig. 3 is a flowchart illustrating a method 200 for obtaining a battery soc-discharge open-circuit voltmeter according to an embodiment of the disclosure.
At step S302, a dark current of the vehicle in the sleep state is acquired.
At step S304, the battery is charged to a battery state of charge of 100%, and when the battery reaches thermal equilibrium, the battery is discharged by the dark current, resulting in a discharge open-circuit voltage curve of the battery.
At step S306, a battery state of charge during discharging of the battery is obtained.
In step S308, the battery state of charge and the open-circuit discharge voltage curve are in one-to-one correspondence, so as to obtain a battery state of charge-open-circuit discharge voltmeter.
More specifically, before the state of health assessment is performed, the characteristics of the vehicle and the on-board battery are first preliminarily tested:
the first step is as follows: the dark current Iv of the vehicle in the sleep state is acquired.
The second step is that: the battery is charged to a 100% battery state of charge, left to stand at different temperatures to achieve thermal equilibrium, and discharged by dark current Iv to obtain a discharge open-circuit voltage curve of the battery (the discharge open-circuit voltage of the battery, i.e., the terminal voltage of the battery in an open-circuit state, which corresponds to the difference between the positive electrode potential and the negative electrode potential of the battery when the battery is in an open circuit state).
The third step: ampere-hour integration (namely, ah integration) is carried out on the dark current Iv to obtain the battery charge state in the battery discharging process.
In the embodiment of the present invention, the battery state of charge during the discharge of the battery is calculated based on the following equation 3:
Figure DEST_PATH_IMAGE025
8230 \ 8230and equation 3
Wherein, the first and the second end of the pipe are connected with each other,SOCthe state of charge of the battery during discharge is performed for the battery,
Figure 47014DEST_PATH_IMAGE004
in order to be a dark current, the current,tin order to test the time of day,Capis the capacity of a fresh battery.
In the embodiment of the present invention, the battery may be a lead-acid battery, but this does not constitute a limitation of the present invention.
Fig. 4 shows a system 400 for battery state of health assessment provided by the present invention and illustrated in fig. 4, which includes a data acquisition module 401 and a data processing module 402.
The data acquisition module 401 is configured to acquire cloud data, where the cloud data includes time when the vehicle is in a sleep state, dark current in the sleep state, and a battery state of charge-discharge open-circuit voltmeter.
When the time that the vehicle is in the sleep state exceeds a preset threshold value, the data acquisition module 401 acquires first state information that the vehicle starts to enter the sleep state and second state information that the vehicle ends the sleep state and enters the charging state, wherein the first state information includes a first time that the vehicle starts the sleep state, a first voltage and a first ambient temperature of the battery at the first time, and the second state information includes a second time that the vehicle ends the sleep state and enters the charging state, a second voltage and a second ambient temperature of the battery at the second time.
The data processing module 402 is configured to obtain, according to the battery state of charge-discharge open-circuit voltmeter, a first battery state of charge of the battery corresponding to the first voltage and a second battery state of charge of the battery corresponding to the second voltage when the battery is at an average value of the first ambient temperature and the second ambient temperature; and calculating the state of health of the battery based on the dark current in the sleep state, the difference between the first battery state of charge and the second battery state of charge, the difference between the second time and the first time, and the fresh battery capacity.
According to the method for evaluating the health state of the battery, the health state of the battery is calculated under the condition that no additional device is added by utilizing data uploaded to a cloud end by an intelligent vehicle-mounted terminal T-BOX (telematics-BOX), so that the health state of the battery is monitored in real time while the cost of a sensor is saved, and the problems that the vehicle cannot be started due to the reduction of the health state of the battery, the power consumption of the vehicle is increased due to the frequent electricity compensation of a high-voltage battery pack on the started battery, or the electric quantity of the high-voltage battery is obviously reduced after the vehicle is placed for a long time are solved.
The above description is only for the specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present disclosure should be covered within the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims (10)

1. A method for battery state of health assessment, the method comprising the steps of:
acquiring cloud data, wherein the cloud data comprises the time when a vehicle is in a dormant state, dark current in the dormant state and a battery state of charge-discharge open-circuit voltmeter;
when the time of the vehicle in the dormant state exceeds a preset threshold value, acquiring first state information of the vehicle starting to enter the dormant state and second state information of the vehicle before the vehicle finishes the dormant state and enters a charging state, wherein the first state information comprises a first time of the vehicle starting the dormant state, a first voltage and a first ambient temperature of a battery at the first time, and the second state information comprises a second time of the vehicle finishing the dormant state and entering the charging state, and a second voltage and a second ambient temperature of the battery at the second time;
acquiring a first battery charge state of a battery corresponding to the first voltage and a second battery charge state of a battery corresponding to the second voltage when the battery charge state-discharge open-circuit voltmeter is at an average value of the first ambient temperature and the second ambient temperature;
calculating the state of health of the battery based on the dark current in the sleep state, the difference between the first battery state of charge and the second battery state of charge, the difference between the second time and the first time, and the fresh battery capacity.
2. The method of claim 1, wherein the calculating the state of health of the battery comprises calculating the state of health of the battery based on equation 1 as follows:
Figure 442442DEST_PATH_IMAGE002
8230 \ 8230and equation 1
Wherein, the first and the second end of the pipe are connected with each other,SOHit is the state of health of the battery,
Figure 197908DEST_PATH_IMAGE004
in order to be a dark current, the current,
Figure 790564DEST_PATH_IMAGE006
is the difference between the second time and the first time,
Figure 606073DEST_PATH_IMAGE008
of a first battery state of charge and of said second battery state of chargeThe difference value is used as a reference value,Capfresh battery capacity.
3. The method of claim 2, further comprising updating the state of health of the battery based on equation 2 as follows:
Figure DEST_PATH_IMAGE010
8230 \ 8230and equation 2
Wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE012
for the purpose of the updated state of health of the battery,
Figure DEST_PATH_IMAGE014
in order to be in the current state of health of the battery,iin order to count the number of times of the battery state,
Figure DEST_PATH_IMAGE016
is the most recently calculatediThe state of health of the secondary battery.
4. The method of claim 3, wherein the determination of whether the battery needs to be replaced is made based on the updated state of health of the battery and a predetermined state of health threshold of the battery.
5. The method of claim 1, further comprising deriving the battery state of charge-discharge open circuit voltmeter by:
acquiring dark current of a vehicle in a dormant state;
charging the battery to a battery state of charge of 100%, and discharging the battery through the dark current when the battery reaches thermal equilibrium, so as to obtain a discharge open-circuit voltage curve of the battery;
acquiring the battery charge state in the discharging process of the battery; and
and corresponding the battery charge state to the discharge open-circuit voltage curves one by one to obtain a battery charge state-discharge open-circuit voltmeter.
6. The method of claim 5, further comprising calculating a battery state of charge during discharge of the battery based on equation 3 as follows:
Figure DEST_PATH_IMAGE018
8230 \ 8230and equation 3
Wherein the content of the first and second substances,SOCthe state of charge of the battery during discharge of the battery,
Figure 408813DEST_PATH_IMAGE004
in order to be a dark current, the current,tin order to test the length of time,Capis the capacity of a fresh battery.
7. A system for battery state of health assessment, the system comprising:
a data acquisition module configured for
Acquiring cloud data, wherein the cloud data comprises the time when a vehicle is in a dormant state, dark current in the dormant state and a battery charge state-discharge open-circuit voltmeter; and
when the time of the vehicle in the dormant state exceeds a preset threshold value, acquiring first state information of the vehicle starting to enter the dormant state and second state information of the vehicle before the vehicle finishes the dormant state and enters a charging state, wherein the first state information comprises a first time of the vehicle starting the dormant state, a first voltage and a first ambient temperature of a battery at the first time, and the second state information comprises a second time of the vehicle finishing the dormant state and entering the charging state, and a second voltage and a second ambient temperature of the battery at the second time; and
a data processing module configured to
Acquiring a first battery charge state of a battery corresponding to the first voltage and a second battery charge state of a battery corresponding to the second voltage when the battery charge state-discharge open-circuit voltmeter is at an average value of the first ambient temperature and the second ambient temperature; and
calculating the state of health of the battery based on the dark current in the sleep state, the difference between the first battery state of charge and the second battery state of charge, the difference between the second time and the first time, and the fresh battery capacity.
8. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, which when executed by the at least one processor, cause the at least one processor to perform the method for battery state of health assessment as claimed in any one of claims 1 to 6.
9. A non-transitory computer-readable storage medium storing computer instructions which, when executed by at least one processor, cause the at least one processor to perform the method for battery state of health assessment of any of claims 1-6.
10. A computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method for battery state of health assessment of any of claims 1 to 6.
CN202211110359.5A 2022-09-13 2022-09-13 Method and system for evaluating health state of battery Active CN115201698B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202211110359.5A CN115201698B (en) 2022-09-13 2022-09-13 Method and system for evaluating health state of battery
PCT/CN2023/115464 WO2024055838A1 (en) 2022-09-13 2023-08-29 Method and system for evaluating state of health of battery

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211110359.5A CN115201698B (en) 2022-09-13 2022-09-13 Method and system for evaluating health state of battery

Publications (2)

Publication Number Publication Date
CN115201698A true CN115201698A (en) 2022-10-18
CN115201698B CN115201698B (en) 2022-11-29

Family

ID=83572031

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211110359.5A Active CN115201698B (en) 2022-09-13 2022-09-13 Method and system for evaluating health state of battery

Country Status (2)

Country Link
CN (1) CN115201698B (en)
WO (1) WO2024055838A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117554845A (en) * 2024-01-10 2024-02-13 宁德时代新能源科技股份有限公司 Battery health state evaluation method and device, electronic equipment and storage medium
WO2024055838A1 (en) * 2022-09-13 2024-03-21 达芬骑动力科技(北京)有限公司 Method and system for evaluating state of health of battery

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007038748A (en) * 2005-08-01 2007-02-15 Mazda Motor Corp Battery degrading detection device
CN101291080A (en) * 2007-04-19 2008-10-22 富士通天株式会社 Power management device
JP2017129402A (en) * 2016-01-19 2017-07-27 日立化成株式会社 Battery state estimation method and device
CN107627978A (en) * 2016-07-19 2018-01-26 现代自动车株式会社 Vehicle and its control method and the electric control appliance for vehicle
CN107933335A (en) * 2017-10-26 2018-04-20 深圳市沃特玛电池有限公司 The monitoring method of electric automobile and its power battery
EP3736586A1 (en) * 2019-05-08 2020-11-11 Toyota Jidosha Kabushiki Kaisha State of charge estimation device
CN111929600A (en) * 2020-08-10 2020-11-13 吉利汽车研究院(宁波)有限公司 Storage battery diagnosis monitoring method, monitoring system, vehicle and Internet of vehicles cloud platform
CN112172608A (en) * 2020-09-11 2021-01-05 广州小鹏汽车科技有限公司 Battery monitoring method and device, vehicle and storage medium
CN112550070A (en) * 2020-11-30 2021-03-26 东风汽车集团有限公司 Automatic charging method for low-voltage storage battery of electric vehicle
CN113009354A (en) * 2021-04-30 2021-06-22 重庆长安汽车股份有限公司 Vehicle storage battery state monitoring method and system
CN113131579A (en) * 2021-04-20 2021-07-16 宝能(广州)汽车研究院有限公司 Storage battery charging method and device and computer readable storage medium
CN114200313A (en) * 2021-11-29 2022-03-18 重庆长安汽车股份有限公司 Lead-acid storage battery health analysis method and system and storage medium
CN114194067A (en) * 2021-11-17 2022-03-18 深圳顶匠科技有限公司 Intelligent management method and system for automobile battery and computer readable storage medium thereof

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101806705B1 (en) * 2016-06-07 2017-12-07 현대자동차주식회사 Method and system for determining battery degradation
CN111434517A (en) * 2018-12-25 2020-07-21 观致汽车有限公司 Method for managing a battery of a vehicle, battery management device and vehicle
CN111381178B (en) * 2018-12-28 2022-12-20 奥动新能源汽车科技有限公司 Method and system for estimating health state of lithium ion battery
KR20200117684A (en) * 2019-04-05 2020-10-14 현대모비스 주식회사 System and method for calculating state of charge by adjusting open circuit voltage
CN110967631B (en) * 2019-05-17 2021-03-30 宁德时代新能源科技股份有限公司 SOH correction method and apparatus, battery management system, and storage medium
CN111308357B (en) * 2020-04-01 2022-10-28 一汽解放汽车有限公司 Battery capacity estimation method, battery management system, vehicle, and storage medium
CN114895208A (en) * 2022-04-07 2022-08-12 合众新能源汽车有限公司 Estimation method and screening method for SOH (state of health) of automobile power battery
CN114844191A (en) * 2022-04-21 2022-08-02 中国第一汽车股份有限公司 Intelligent power supplementing method and device, storage medium and electronic device
CN115201698B (en) * 2022-09-13 2022-11-29 达芬骑动力科技(北京)有限公司 Method and system for evaluating health state of battery

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007038748A (en) * 2005-08-01 2007-02-15 Mazda Motor Corp Battery degrading detection device
CN101291080A (en) * 2007-04-19 2008-10-22 富士通天株式会社 Power management device
JP2017129402A (en) * 2016-01-19 2017-07-27 日立化成株式会社 Battery state estimation method and device
CN107627978A (en) * 2016-07-19 2018-01-26 现代自动车株式会社 Vehicle and its control method and the electric control appliance for vehicle
CN107933335A (en) * 2017-10-26 2018-04-20 深圳市沃特玛电池有限公司 The monitoring method of electric automobile and its power battery
EP3736586A1 (en) * 2019-05-08 2020-11-11 Toyota Jidosha Kabushiki Kaisha State of charge estimation device
CN111929600A (en) * 2020-08-10 2020-11-13 吉利汽车研究院(宁波)有限公司 Storage battery diagnosis monitoring method, monitoring system, vehicle and Internet of vehicles cloud platform
CN112172608A (en) * 2020-09-11 2021-01-05 广州小鹏汽车科技有限公司 Battery monitoring method and device, vehicle and storage medium
CN112550070A (en) * 2020-11-30 2021-03-26 东风汽车集团有限公司 Automatic charging method for low-voltage storage battery of electric vehicle
CN113131579A (en) * 2021-04-20 2021-07-16 宝能(广州)汽车研究院有限公司 Storage battery charging method and device and computer readable storage medium
CN113009354A (en) * 2021-04-30 2021-06-22 重庆长安汽车股份有限公司 Vehicle storage battery state monitoring method and system
CN114194067A (en) * 2021-11-17 2022-03-18 深圳顶匠科技有限公司 Intelligent management method and system for automobile battery and computer readable storage medium thereof
CN114200313A (en) * 2021-11-29 2022-03-18 重庆长安汽车股份有限公司 Lead-acid storage battery health analysis method and system and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024055838A1 (en) * 2022-09-13 2024-03-21 达芬骑动力科技(北京)有限公司 Method and system for evaluating state of health of battery
CN117554845A (en) * 2024-01-10 2024-02-13 宁德时代新能源科技股份有限公司 Battery health state evaluation method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN115201698B (en) 2022-11-29
WO2024055838A1 (en) 2024-03-21

Similar Documents

Publication Publication Date Title
CN115201698B (en) Method and system for evaluating health state of battery
US11346887B2 (en) Method and apparatus for calculating SOH of battery power pack, and electric vehicle
CN108919137B (en) A kind of battery aging status estimation method considering different battery status
US8159189B2 (en) Battery state of health monitoring system and method
CN107076802B (en) Secondary battery state detection device and secondary battery state detection method
CN106680720B (en) Vehicular accumulator cell early warning failure system and method based on car networking
US20150112527A1 (en) Battery soc estimation with automatic correction
CN109633457B (en) Method and system for acquiring residual electric quantity
CN102156265A (en) Device and method for testing health state of battery
US20150168498A1 (en) Method and system for estimating state of health of battery set
GB2406656A (en) Battery tester with user input of battery information
WO2003034084A1 (en) Electronic battery tester with relative test output
US6674266B2 (en) Method for determining the operating state of an energy-storage battery
CN113093027B (en) Battery SOC calibration method, device, system, medium and program product
CN109061521A (en) Battery group state-of-charge calculation method and system
Çadırcı et al. Microcontroller-based on-line state-of-charge estimator for sealed lead–acid batteries
CN117104074B (en) Method for controlling charge and discharge and charge and discharge control system
CN103048628A (en) Device and method for obtaining full charge endurance of electromobile
US20230029223A1 (en) Method for determining full-charge capacity of battery pack, method for determining state of health of battery pack, system, and apparatus
KR101268082B1 (en) SOC Estimation Method using Polarizing Voltage and Open Circuit Voltage
CN111216595A (en) SOC calibration method of severe hybrid electric vehicle based on lithium battery equivalent circuit model
CN115097338A (en) SOC calibration method, SOH estimation method, device and storage medium
CN113125978B (en) Lithium battery SOC measurement method for electric bicycle
CN112578299A (en) Method and device for determining internal metal structure fracture of storage battery
CN115808630A (en) Charge state calculation method and device for vehicle-mounted lithium iron phosphate battery and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant