Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak Value
How to use efficient and accurate methods to estimate the capacity of lithium batteries has always been an important research topic. Traditional capacity estimation methods are time-consuming and require strict experimental conditions, making them unsuitable for real-time applications. This article...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/6/316 |
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| author | Zhenyang Dai Bixiong Huang Xintian Liu Dong Liu |
| author_facet | Zhenyang Dai Bixiong Huang Xintian Liu Dong Liu |
| author_sort | Zhenyang Dai |
| collection | DOAJ |
| description | How to use efficient and accurate methods to estimate the capacity of lithium batteries has always been an important research topic. Traditional capacity estimation methods are time-consuming and require strict experimental conditions, making them unsuitable for real-time applications. This article introduces the concept of the inflection point of the charge/discharge curve in the SOC-V curve and proposes a fast estimation method for battery capacity by combining the advantages of the IC curve peak and SOC inflection point methods. By analyzing the charge and discharge data of grouped batteries, it was found that there is a certain correspondence between the inflection point of the SOC-V curve and the peak point of the IC curve. This relationship remains stable during battery aging and can provide a reliable basis for battery SOH evaluation, further improving the estimation accuracy of SOH. This method significantly reduces experimental time, is more suitable for practical applications, and provided an efficient and practical technical means for battery performance evaluation. |
| format | Article |
| id | doaj-art-b5ace5ee78db492e91b4db893a068574 |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-b5ace5ee78db492e91b4db893a0685742025-08-20T03:32:28ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-06-0116631610.3390/wevj16060316Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak ValueZhenyang Dai0Bixiong Huang1Xintian Liu2Dong Liu3School of Mechanical and Automotive Engineering, Shanghai University of Engineering and Technology, Shanghai 201600, ChinaSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering and Technology, Shanghai 201600, ChinaSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering and Technology, Shanghai 201600, ChinaSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering and Technology, Shanghai 201600, ChinaHow to use efficient and accurate methods to estimate the capacity of lithium batteries has always been an important research topic. Traditional capacity estimation methods are time-consuming and require strict experimental conditions, making them unsuitable for real-time applications. This article introduces the concept of the inflection point of the charge/discharge curve in the SOC-V curve and proposes a fast estimation method for battery capacity by combining the advantages of the IC curve peak and SOC inflection point methods. By analyzing the charge and discharge data of grouped batteries, it was found that there is a certain correspondence between the inflection point of the SOC-V curve and the peak point of the IC curve. This relationship remains stable during battery aging and can provide a reliable basis for battery SOH evaluation, further improving the estimation accuracy of SOH. This method significantly reduces experimental time, is more suitable for practical applications, and provided an efficient and practical technical means for battery performance evaluation.https://www.mdpi.com/2032-6653/16/6/316IC curveSOC-V curvecurvature inflection pointrapid capacity estimation |
| spellingShingle | Zhenyang Dai Bixiong Huang Xintian Liu Dong Liu Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak Value World Electric Vehicle Journal IC curve SOC-V curve curvature inflection point rapid capacity estimation |
| title | Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak Value |
| title_full | Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak Value |
| title_fullStr | Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak Value |
| title_full_unstemmed | Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak Value |
| title_short | Fast Battery Capacity Estimation Method Based on State of Charge and IC Curve Peak Value |
| title_sort | fast battery capacity estimation method based on state of charge and ic curve peak value |
| topic | IC curve SOC-V curve curvature inflection point rapid capacity estimation |
| url | https://www.mdpi.com/2032-6653/16/6/316 |
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