CN108037462B - Method and system for quantifying health condition of storage battery - Google Patents
Method and system for quantifying health condition of storage battery Download PDFInfo
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- CN108037462B CN108037462B CN201711342867.5A CN201711342867A CN108037462B CN 108037462 B CN108037462 B CN 108037462B CN 201711342867 A CN201711342867 A CN 201711342867A CN 108037462 B CN108037462 B CN 108037462B
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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]
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Abstract
The invention relates to the technical field of storage battery detection, and discloses a method and a system for quantifying the health condition of a storage battery, which are used for perfecting the functions of a battery management system and facilitating the battery management system to evaluate the battery state in real time. The method comprises the following steps: the charging rate is taken as a core, the internal resistance, the residual capacity and the temperature factor of the battery are integrated, and the health of the battery is comprehensively evaluated by utilizing an analytic hierarchy process. The method and the system for effectively evaluating the health state of the battery comprehensively evaluate various factors influencing the performance of the battery, effectively reduce the probability of sudden change of the performance of the battery in the later use process of the battery, and facilitate the evaluation of the performance state and the service life of the battery pack.
Description
Technical Field
The invention relates to the technical field of storage battery detection, in particular to a method and a system for quantifying the health condition of a storage battery.
Background
The soh (state of health) evaluation of battery state of health is increasingly regarded by researchers at home and abroad as one of the key tasks for evaluating battery state.
At present, common methods for evaluating the health state of the vehicle power battery are realized by estimating and identifying internal parameters of the battery. The main classification is as follows: one is to estimate the state of health of the battery by estimating the rated capacity of the battery, and the other is to estimate the state of health of the battery by estimating the internal resistance of the battery. However, it is difficult to obtain an accurate rated capacity and an internal resistance value of the battery in practice, and it is difficult to obtain practical application.
In the using process of the battery, the health state of the battery is degraded, which is mainly represented by the attenuation of rated capacity and the increase of internal resistance, and the internal temperature, SOC, voltage, current and the like of the battery are also changed to different degrees. Therefore, a simple, efficient and accurate battery state of health assessment method becomes especially important to facilitate more efficient use and management of batteries, such as: the usage strategy of the charge or discharge output and the state of charge (SOC) of the battery is appropriately controlled.
The service life and performance state of the battery pack are related to the stability of an electrochemical system in the battery, the service environment and the service condition of the battery pack, particularly the charge-discharge rate and the working temperature. The service life of the battery pack is shortened due to the fact that the charge-discharge multiplying power is too large. Under different service temperatures, the life decay of the battery pack is different, the influence on the battery performance is different, when the temperature difference of each monomer in the battery pack is large, the performance difference of different batteries is enlarged, the inconsistency of the power battery pack is aggravated, and the overall performance state of the battery pack is further influenced. These changes in battery performance cannot be directly reflected from the measured physical quantities, and therefore, a method for evaluating the state of health (hereinafter referred to as the SOH value) of the battery pack needs to be found.
Although the battery pack is used in a group at present, particularly, a battery management system is equipped in the process of using the lithium ion batteries in a group, so as to ensure the real-time monitoring and safe use of the state of the battery pack. The evaluation of the battery performance is mainly carried out by the SOC estimation of a battery management system and the measurement of the single voltage of the battery pack, the battery temperature, the differential pressure between the single batteries and the temperature difference of the battery pack, the evaluation basis is limited, and the evaluation method is very dependent on the knowledge and experience level of professional technicians.
Disclosure of Invention
The invention aims to disclose a method and a system for quantifying the health condition of a storage battery, which are used for perfecting the functions of a battery management system and facilitating the battery management system to evaluate the battery state in real time.
In order to achieve the purpose, the invention discloses a method for quantifying the health condition of a storage battery, which comprises the following steps:
taking the charging rate as a core, integrating the internal resistance, the residual capacity and the temperature factors of the battery, and constructing a health state SOH evaluation model as follows:
wherein λ is a charge rate correction constant, C (T) is an actual charge rate, C is an ideal charge rate, ε is a weight coefficient of a charge rate-based evaluation method, α is a weight coefficient of a battery internal resistance-based evaluation method, β is a weight coefficient of a battery remaining capacity-based evaluation method, SOC (T) is a measured capacity of a battery in a current state of charge, SOC is a battery nominal capacity, δ is a weight coefficient of a battery charge temperature-based evaluation method, and T is a charge rateAverageIs the average temperature of the battery at the current state of charge, wherein:
REOLthe internal resistance of the battery at the end of the battery life, RnewIs the internal resistance of the battery when leaving the factory, RtIs the internal resistance of the battery in the current state.
Alternatively, the values of the above-described respective weight coefficients ε, α, β, and δ of the present invention are obtained by an analytic hierarchy process, and preferably, the weight coefficient ε is 0.5 or more.
Corresponding to the method, the invention also discloses a system for quantifying the health condition of the storage battery, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the steps of the method are realized when the processor executes the computer program.
In summary, the method and the system for effectively evaluating the health state of the battery comprehensively evaluate various factors influencing the performance of the battery, can accurately evaluate the health state of the storage battery, effectively reduce the probability of sudden change of the performance of the battery in the later use process of the battery, and facilitate the evaluation of the performance state and the service life of the battery pack.
The present invention is described in further detail below.
Detailed Description
The following detailed description of embodiments of the invention, but the invention can be practiced in many different ways, as defined and covered by the claims.
Example 1
The embodiment discloses a method for quantifying the health condition of a storage battery, which comprises the following steps:
taking the charging rate as a core, integrating the internal resistance, the residual capacity and the temperature factors of the battery, and constructing a health state SOH evaluation model as follows:
wherein λ is a charge rate correction constant, C (T) is an actual charge rate, C is an ideal charge rate, ε is a weight coefficient of a charge rate-based evaluation method, α is a weight coefficient of a battery internal resistance-based evaluation method, β is a weight coefficient of a battery remaining capacity-based evaluation method, SOC (T) is a measured capacity of a battery in a current state of charge, SOC is a battery nominal capacity, δ is a weight coefficient of a battery charge temperature-based evaluation method, and T is a charge rateAverageIn the present embodiment, the values of the respective weight coefficients epsilon, α, β and delta can be obtained according to statistical experience values, and preferably, the present embodiment comprehensively evaluates the health of the battery by using an analytic hierarchy process, that is, the values of the respective weight coefficients epsilon, α, β and delta are obtained by the analytic hierarchy process.
Wherein:
REOLthe internal resistance of the battery at the end of the battery life, RnewIs the internal resistance of the battery when leaving the factory, RtIs the internal resistance of the battery in the current state.
When the battery is used, the first feeling that the health of the battery is poor is that the charging and discharging time is shortened. For this reason, the present embodiment is centered on the charge rate, and therefore, it is preferable that the weight coefficient ∈ be equal to or greater than 0.5. In the production and test process of a comprehensive battery manufacturer, curve fitting of the charging time and the charging current of the battery under an ideal condition can be obtained, and the original charging rate can be solved as C by differential calculation through the change relation of the curve; similarly, in the actual charging process, the curve change relation is fitted according to the calculation of the monitored charging current and charging time, and the actual charging rate is calculated to be C (t).
Preferably, the present embodiment needs to separately calculate the above constants including epsilon, α, β, delta and lambda for different battery models of each manufacturer, so that the health condition of the battery can be evaluated more accurately, and more reliable and true than the traditional evaluation scheme.
Example 2
Corresponding to the above method, the present embodiment discloses a system for quantifying the health status of a storage battery, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above method when executing the computer program.
To sum up, the method and the system for effectively evaluating the health state of the battery disclosed by the embodiment of the invention comprehensively evaluate various factors influencing the performance of the battery, can accurately evaluate the health state of the storage battery, effectively reduce the probability of sudden change of the performance of the battery in the later use process of the battery, and facilitate the evaluation of the performance state and the service life of the battery pack, and meanwhile, the evaluation method can be integrated in a battery management system, so that the functions of the battery management system are perfected, and the battery management system can conveniently perform daily maintenance detection and evaluation on the battery state in real time.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A method for quantifying the health of a battery, comprising:
taking the charging rate as a core, integrating the internal resistance, the residual capacity and the temperature factors of the battery, and constructing a health state SOH evaluation model as follows:
wherein λ is a charge rate correction constant, C (T) is an actual charge rate, C is an ideal charge rate, ε is a weight coefficient of a charge rate-based evaluation method, α is a weight coefficient of a battery internal resistance-based evaluation method, β is a weight coefficient of a battery remaining capacity-based evaluation method, SOC (T) is a measured capacity of a battery in a current state of charge, SOC is a battery nominal capacity, δ is a weight coefficient of a battery charge temperature-based evaluation method, and T is a charge rateAverageIs the average temperature of the battery at the current state of charge, wherein:
REOLthe internal resistance of the battery at the end of the battery life, RnewIs the internal resistance of the battery when leaving the factory, RtIs the internal resistance of the battery in the current state.
2. The battery state of health quantification method according to claim 1, wherein the values of the respective weight coefficients ε, α, β, and δ are obtained by a hierarchical analysis method.
3. The battery health status quantization method according to claim 1 or 2, characterized in that the weight coefficient ∈ is equal to or greater than 0.5.
4. A battery health quantification system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program performs the steps of the method of any one of claims 1, 2 or 3.
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| CN108680869A (en) * | 2018-06-29 | 2018-10-19 | 上海科列新能源技术有限公司 | A kind of appraisal procedure and device of power battery health status |
| CN108983106B (en) * | 2018-07-27 | 2021-09-14 | 国网重庆市电力公司电力科学研究院 | Novel power battery health state assessment method |
| KR20210076009A (en) | 2018-09-17 | 2021-06-23 | 볼보 트럭 코퍼레이션 | Methods and systems for estimating the health of a battery |
| CN109164397B (en) * | 2018-09-21 | 2021-03-30 | 华北电力大学（保定） | Lithium battery life loss assessment method considering charging rate and ambient temperature |
| CN109143099B (en) * | 2018-11-12 | 2021-03-16 | 潍柴动力股份有限公司 | Method and device for estimating health condition of battery system |
| CN111812538A (en) * | 2020-07-22 | 2020-10-23 | 兰州兰石恩力微电网有限公司 | Power battery evaluation system |
| CN112034350B (en) * | 2020-08-28 | 2023-07-14 | 厦门科灿信息技术有限公司 | Battery pack health state prediction method and terminal equipment |
| CN112255554A (en) * | 2020-10-29 | 2021-01-22 | 国网江苏省电力有限公司盐城供电分公司 | Direct current system battery health status and internal fault monitoring device |
| CN113224413A (en) * | 2021-04-14 | 2021-08-06 | 荣盛盟固利新能源科技有限公司 | Charging thermal management control method of battery system |
| CN116990692B (en) * | 2023-09-28 | 2023-12-08 | 深圳康普盾科技股份有限公司 | Lithium battery health condition assessment and residual life prediction method and system |
| CN117538767B (en) * | 2024-01-09 | 2024-03-22 | 中汽研新能源汽车检验中心(天津)有限公司 | Electric vehicle charging and discharging process vehicle-pile cooperative state monitoring system and method |
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