CN108061858A - Lithium battery SOC appraisal procedures based on ohmic internal resistance - Google Patents
Lithium battery SOC appraisal procedures based on ohmic internal resistance Download PDFInfo
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 20
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims abstract description 9
- 229910001416 lithium ion Inorganic materials 0.000 claims abstract description 49
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims abstract description 48
- 238000011156 evaluation Methods 0.000 claims abstract description 9
- 240000002853 Nelumbo nucifera Species 0.000 claims 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims 1
- 230000005611 electricity Effects 0.000 claims 1
- 230000032683 aging Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000002848 electrochemical method Methods 0.000 description 1
- 230000010287 polarization Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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Abstract
本发明提供了一种基于欧姆内阻的锂电池SOC评估方法,其特征在于,包括以下步骤:评估锂离子电池的锂离子电池荷电状态;获得锂离子电池的欧姆内阻;根据锂离子电池荷电状态和欧姆内阻获取当前状态下锂离子电池的有效最大容量;根据有效最大容量修正锂离子电池OCV‑SOC曲线;对OCV‑SOC曲线进行反复修正。本发明通过电池的欧姆内阻特性,获取当前锂离子电池的有效最大容量,进而优化锂离子电池OCV‑SOC曲线,获取精确的SOC评估结果。方法简单,实用性强,SOC精度高,可以直接应用于锂离子电池管理系统。
The invention provides a lithium battery SOC evaluation method based on ohmic internal resistance, which is characterized in that it comprises the following steps: evaluating the state of charge of the lithium ion battery of the lithium ion battery; obtaining the ohmic internal resistance of the lithium ion battery; The state of charge and ohmic internal resistance obtain the effective maximum capacity of the lithium-ion battery in the current state; correct the OCV-SOC curve of the lithium-ion battery according to the effective maximum capacity; and repeatedly correct the OCV-SOC curve. The invention obtains the effective maximum capacity of the current lithium-ion battery through the ohmic internal resistance characteristics of the battery, and then optimizes the OCV-SOC curve of the lithium-ion battery to obtain accurate SOC evaluation results. The method is simple, has strong practicability and high SOC precision, and can be directly applied to a lithium-ion battery management system.
Description
技术领域technical field
本发明涉及一种用于评估锂离子电池的锂离子电池荷电状态的方法。The invention relates to a method for evaluating the state of charge of a lithium-ion battery for a lithium-ion battery.
背景技术Background technique
锂离子电池荷电状态(SOC)是锂离子电池的重要参数,由于在电池工作状态无法直接测量SOC,这个参数需要通过算法评估获得。The state of charge (SOC) of lithium-ion batteries is an important parameter of lithium-ion batteries. Since the SOC cannot be directly measured in the working state of the battery, this parameter needs to be obtained through algorithm evaluation.
目前的各种算法主要根据锂电池的开路电压和SOC的对应曲线OCV-SOC作为参考曲线,根据锂电池等效电路模型获取锂电池SOC参数。然而OCV-SOC曲线在实际情况下不是一成不变的。前期研究表明,OCV-SOC曲线随着电池有效最大容量变化。如果要获得精确的锂电池SOC结果,必须考虑由于锂电池当前最大容量变化引起的OCV-SOC曲线改变。目前,主要是通过电化学的方法获得锂电池有效最大容量,该方法在实际应用中十分困难。Various current algorithms mainly use the open circuit voltage of the lithium battery and the corresponding curve OCV-SOC of the SOC as a reference curve, and obtain the SOC parameters of the lithium battery according to the equivalent circuit model of the lithium battery. However, the OCV-SOC curve is not static in actual situations. Previous studies have shown that the OCV-SOC curve changes with the effective maximum capacity of the battery. If accurate lithium battery SOC results are to be obtained, changes in the OCV-SOC curve due to changes in the current maximum capacity of the lithium battery must be considered. At present, the effective maximum capacity of lithium batteries is mainly obtained through electrochemical methods, which is very difficult in practical applications.
发明内容Contents of the invention
本发明的目的是:对OCV-SOC曲线进行修正,从而获得更精确的锂电池SOC。The purpose of the present invention is to correct the OCV-SOC curve, so as to obtain a more accurate lithium battery SOC.
为了达到上述目的,本发明的技术方案是提供了一种基于欧姆内阻的锂电池SOC评估方法,其特征在于,包括以下步骤:In order to achieve the above object, the technical solution of the present invention is to provide a lithium battery SOC evaluation method based on ohmic internal resistance, which is characterized in that it includes the following steps:
步骤1、根据锂离子电池OCV-SOC曲线和电压参数检测评估锂离子电池的锂离子电池荷电状态;Step 1. According to the lithium-ion battery OCV-SOC curve and voltage parameter detection and evaluation of the lithium-ion battery state of charge of the lithium-ion battery;
步骤2、获得锂离子电池的欧姆内阻;Step 2, obtaining the ohmic internal resistance of the lithium-ion battery;
步骤3、根据步骤1获得的锂离子电池荷电状态和步骤2获得的欧姆内阻获取当前状态下锂离子电池的有效最大容量;Step 3. Obtain the effective maximum capacity of the lithium-ion battery in the current state according to the state of charge of the lithium-ion battery obtained in step 1 and the ohmic internal resistance obtained in step 2;
步骤4、根据有效最大容量修正锂离子电池OCV-SOC曲线;Step 4. Correct the OCV-SOC curve of the lithium-ion battery according to the effective maximum capacity;
步骤5、重复步骤1-4。Step 5. Repeat steps 1-4.
优选地,步骤2中所述欧姆内阻通过测量获取或通过计算获得。Preferably, the ohmic internal resistance in step 2 is obtained by measurement or calculation.
优选地,步骤1中所述锂离子电池荷电状态为某一时刻的锂离子电池荷电状态,或为某一时间段的锂离子电池荷电状态;步骤2中所述欧姆内阻为某一时刻的欧姆内阻,或为某一时间段的欧姆内阻。Preferably, the state of charge of the lithium-ion battery described in step 1 is the state of charge of the lithium-ion battery at a certain moment, or the state of charge of the lithium-ion battery for a certain period of time; the ohmic internal resistance described in step 2 is a certain The ohmic internal resistance at a moment, or the ohmic internal resistance for a certain period of time.
本发明通过电池的欧姆内阻特性,获取当前锂离子电池的有效最大容量,进而优化锂离子电池OCV-SOC曲线,获取精确的SOC评估结果。方法简单,实用性强,SOC精度高,可以直接应用于锂离子电池管理系统。The invention obtains the effective maximum capacity of the current lithium-ion battery through the ohmic internal resistance characteristics of the battery, and then optimizes the OCV-SOC curve of the lithium-ion battery to obtain accurate SOC evaluation results. The method is simple, has strong practicability and high SOC precision, and can be directly applied to a lithium-ion battery management system.
附图说明Description of drawings
图1为本发明的工艺流程图。Fig. 1 is a process flow diagram of the present invention.
具体实施方式Detailed ways
为使本发明更明显易懂,兹以优选实施例,并配合附图作详细说明如下。In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.
在经典锂电池等效电路模型中,电池内阻包含欧姆内阻和极化内阻两部分。其中,欧姆内阻与锂离子电池的温度、老化度和SOC相关且呈规律性变化。于此同时,锂电池有效最大容量也和电池的温度和老化度相关且呈规律性变化。例如,当锂例子电池温度下降,锂电池有效最大容量下降,电池欧姆内阻上升;当锂例子电池老化度上升,锂电池有效最大容量下降,电池欧姆内阻上升。锂离子电池的欧姆内阻同电池有效最大容量具有相关性。In the classic lithium battery equivalent circuit model, the battery internal resistance includes two parts: ohmic internal resistance and polarization internal resistance. Among them, the ohmic internal resistance is related to the temperature, aging degree and SOC of the lithium-ion battery and changes regularly. At the same time, the effective maximum capacity of the lithium battery is also related to the temperature and aging of the battery and changes regularly. For example, when the temperature of the lithium battery drops, the effective maximum capacity of the lithium battery decreases, and the ohmic internal resistance of the battery increases; when the aging degree of the lithium battery increases, the effective maximum capacity of the lithium battery decreases, and the ohmic internal resistance of the battery increases. The ohmic internal resistance of a lithium-ion battery is related to the effective maximum capacity of the battery.
本发明根据锂离子电池欧姆内阻和有效最大容量的相关特性,通过特定SOC状态下的欧姆内阻值,获得当前锂离子电池有效最大容量,并依此电池有效最大容量修正当前OCV-SOC曲线,再通过该曲线获取下一时刻精确的锂电池SOC。结合图1,本发明的具体步骤如下:According to the related characteristics of lithium-ion battery ohmic internal resistance and effective maximum capacity, the present invention obtains the current effective maximum capacity of lithium-ion batteries through the ohmic internal resistance value in a specific SOC state, and corrects the current OCV-SOC curve according to the effective maximum capacity of the battery , and then obtain the accurate lithium battery SOC at the next moment through this curve. In conjunction with Fig. 1, the concrete steps of the present invention are as follows:
步骤1、根据锂离子电池OCV-SOC曲线和电压参数检测评估锂离子电池的锂离子电池荷电状态,锂离子电池荷电状态为某一时刻的锂离子电池荷电状态,或为某一时间段的锂离子电池荷电状态。Step 1. According to the lithium-ion battery OCV-SOC curve and voltage parameter detection and evaluation of the lithium-ion battery state of charge of the lithium-ion battery, the state of charge of the lithium-ion battery is the state of charge of the lithium-ion battery at a certain moment, or a certain time Segment Li-ion battery state of charge.
步骤2、获得锂离子电池的欧姆内阻,欧姆内阻为某一时刻的欧姆内阻,或为某一时间段的欧姆内阻。欧姆内阻可以通过测量获取,也可以通过计算获得。Step 2. Obtain the ohmic internal resistance of the lithium-ion battery. The ohmic internal resistance is the ohmic internal resistance at a certain moment, or the ohmic internal resistance at a certain time period. The ohmic internal resistance can be obtained by measurement or by calculation.
步骤3、根据步骤1获得的锂离子电池荷电状态和步骤2获得的欧姆内阻获取当前状态下锂离子电池的有效最大容量;Step 3. Obtain the effective maximum capacity of the lithium-ion battery in the current state according to the state of charge of the lithium-ion battery obtained in step 1 and the ohmic internal resistance obtained in step 2;
步骤4、根据有效最大容量修正锂离子电池OCV-SOC曲线;Step 4. Correct the OCV-SOC curve of the lithium-ion battery according to the effective maximum capacity;
步骤5、重复步骤1-4。Step 5. Repeat steps 1-4.
本发明通过当前欧姆内阻和SOC获取当前电池有效最大容量,反馈修正当前OCV-SOC曲线,能够有效提升SOC评估的精度。The present invention obtains the current effective maximum capacity of the battery through the current ohmic internal resistance and SOC, and feeds back and corrects the current OCV-SOC curve, which can effectively improve the accuracy of SOC evaluation.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108802626A (en) * | 2018-06-22 | 2018-11-13 | 佛山市长郡科技有限公司 | A kind of intelligent battery diagnostic device |
CN109031135A (en) * | 2018-06-22 | 2018-12-18 | 佛山市长郡科技有限公司 | A kind of rechargeable battery SOC estimation device |
CN109856562A (en) * | 2019-01-30 | 2019-06-07 | 华北电力大学 | Lithium battery echelon based on adaptive " I-U-R " method utilizes detection method |
CN111323722A (en) * | 2020-02-24 | 2020-06-23 | 吉利汽车研究院(宁波)有限公司 | Method and device for determining state of charge of battery |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101819259A (en) * | 2010-05-06 | 2010-09-01 | 惠州市亿能电子有限公司 | Method for evaluating consistency of battery pack |
CN102156265A (en) * | 2011-03-16 | 2011-08-17 | 深圳市派司德科技有限公司 | Device and method for testing health state of battery |
CN104977537A (en) * | 2014-04-14 | 2015-10-14 | 微宏动力系统(湖州)有限公司 | Battery SOC determination method and battery management system using method |
CN105842627A (en) * | 2016-02-01 | 2016-08-10 | 北京理工大学 | Estimation method of power battery capacity and state of charge based on data model fusion |
CN105866700A (en) * | 2016-05-30 | 2016-08-17 | 广西大学 | Lithium ion battery quick screening method |
CN106291381A (en) * | 2016-08-16 | 2017-01-04 | 北京理工大学 | A kind of Combined estimator electrokinetic cell system state-of-charge and the method for health status |
-
2017
- 2017-10-30 CN CN201711052323.5A patent/CN108061858A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101819259A (en) * | 2010-05-06 | 2010-09-01 | 惠州市亿能电子有限公司 | Method for evaluating consistency of battery pack |
CN102156265A (en) * | 2011-03-16 | 2011-08-17 | 深圳市派司德科技有限公司 | Device and method for testing health state of battery |
CN104977537A (en) * | 2014-04-14 | 2015-10-14 | 微宏动力系统(湖州)有限公司 | Battery SOC determination method and battery management system using method |
CN105842627A (en) * | 2016-02-01 | 2016-08-10 | 北京理工大学 | Estimation method of power battery capacity and state of charge based on data model fusion |
CN105866700A (en) * | 2016-05-30 | 2016-08-17 | 广西大学 | Lithium ion battery quick screening method |
CN106291381A (en) * | 2016-08-16 | 2017-01-04 | 北京理工大学 | A kind of Combined estimator electrokinetic cell system state-of-charge and the method for health status |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108802626A (en) * | 2018-06-22 | 2018-11-13 | 佛山市长郡科技有限公司 | A kind of intelligent battery diagnostic device |
CN109031135A (en) * | 2018-06-22 | 2018-12-18 | 佛山市长郡科技有限公司 | A kind of rechargeable battery SOC estimation device |
CN109856562A (en) * | 2019-01-30 | 2019-06-07 | 华北电力大学 | Lithium battery echelon based on adaptive " I-U-R " method utilizes detection method |
CN111323722A (en) * | 2020-02-24 | 2020-06-23 | 吉利汽车研究院(宁波)有限公司 | Method and device for determining state of charge of battery |
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