Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model
Accurate simulation of characteristics performance and state of health (SOH) estimation for lithium-ion batteries are critical for battery management systems (BMS) in electric vehicles. Battery simplified electrochemical model (SEM) can achieve accurate estimation of battery terminal voltage with le...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Green Energy and Intelligent Transportation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277315372300018X |
| _version_ | 1797791887032057856 |
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| author | Deyu Fang Wentao Wu Junfu Li Weizhe Yuan Tao Liu Changsong Dai Zhenbo Wang Ming Zhao |
| author_facet | Deyu Fang Wentao Wu Junfu Li Weizhe Yuan Tao Liu Changsong Dai Zhenbo Wang Ming Zhao |
| author_sort | Deyu Fang |
| collection | DOAJ |
| description | Accurate simulation of characteristics performance and state of health (SOH) estimation for lithium-ion batteries are critical for battery management systems (BMS) in electric vehicles. Battery simplified electrochemical model (SEM) can achieve accurate estimation of battery terminal voltage with less computing resources. To ensure the applicability of life-cycle usage, degradation physics need to be involved in SEM models. This work conducts deep analysis on battery degradation physics and develops an aging-effect coupling model based on an existing improved single particle (ISP) model. Firstly, three mechanisms of solid electrolyte interface (SEI) film growth throughout life cycle are analyzed, and an SEI film growth model of lithium-ion battery is built coupled with the ISP model. Then, a series of identification conditions for individual cells are designed to non-destructively determine model parameters. Finally, battery aging experiment is designed to validate the battery performance simulation method and SOH estimation method. The validation results under different aging rates indicate that this method can accurately estimate characteristics performance and SOH for lithium-ion batteries during the whole life cycle. |
| first_indexed | 2024-03-13T02:25:13Z |
| format | Article |
| id | doaj.art-85f2c5e1f0b1432db560ec8a6cea08dc |
| institution | Directory Open Access Journal |
| issn | 2773-1537 |
| language | English |
| last_indexed | 2024-03-13T02:25:13Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Green Energy and Intelligent Transportation |
| spelling | doaj.art-85f2c5e1f0b1432db560ec8a6cea08dc2023-06-30T04:23:11ZengElsevierGreen Energy and Intelligent Transportation2773-15372023-06-0123100082Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling modelDeyu Fang0Wentao Wu1Junfu Li2Weizhe Yuan3Tao Liu4Changsong Dai5Zhenbo Wang6Ming Zhao7School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, Shandong, ChinaSchool of New Energy, Harbin Institute of Technology, Weihai 264209, Shandong, ChinaSchool of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, Shandong, China; Guangdong Guanghua Sci-Tech Co., Ltd., Shantou 515000, Guangdong, China; School of Chemical Engineering and Chemistry, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China; Corresponding author.School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, ChinaSchool of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, Shandong, ChinaSchool of Chemical Engineering and Chemistry, Harbin Institute of Technology, Harbin 150001, Heilongjiang, ChinaSchool of Chemical Engineering and Chemistry, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China; Zhuhai Zhongli New Energy Sci-Tech Co.,Ltd., Zhuhai 519000, Guangdong, ChinaGuangdong Guanghua Sci-Tech Co., Ltd., Shantou 515000, Guangdong, China; Zhuhai Zhongli New Energy Sci-Tech Co.,Ltd., Zhuhai 519000, Guangdong, ChinaAccurate simulation of characteristics performance and state of health (SOH) estimation for lithium-ion batteries are critical for battery management systems (BMS) in electric vehicles. Battery simplified electrochemical model (SEM) can achieve accurate estimation of battery terminal voltage with less computing resources. To ensure the applicability of life-cycle usage, degradation physics need to be involved in SEM models. This work conducts deep analysis on battery degradation physics and develops an aging-effect coupling model based on an existing improved single particle (ISP) model. Firstly, three mechanisms of solid electrolyte interface (SEI) film growth throughout life cycle are analyzed, and an SEI film growth model of lithium-ion battery is built coupled with the ISP model. Then, a series of identification conditions for individual cells are designed to non-destructively determine model parameters. Finally, battery aging experiment is designed to validate the battery performance simulation method and SOH estimation method. The validation results under different aging rates indicate that this method can accurately estimate characteristics performance and SOH for lithium-ion batteries during the whole life cycle.http://www.sciencedirect.com/science/article/pii/S277315372300018XImproved single particle modelFailure physicsCharacteristics performance simulationState of health estimation |
| spellingShingle | Deyu Fang Wentao Wu Junfu Li Weizhe Yuan Tao Liu Changsong Dai Zhenbo Wang Ming Zhao Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model Green Energy and Intelligent Transportation Improved single particle model Failure physics Characteristics performance simulation State of health estimation |
| title | Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model |
| title_full | Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model |
| title_fullStr | Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model |
| title_full_unstemmed | Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model |
| title_short | Performance simulation method and state of health estimation for lithium-ion batteries based on aging-effect coupling model |
| title_sort | performance simulation method and state of health estimation for lithium ion batteries based on aging effect coupling model |
| topic | Improved single particle model Failure physics Characteristics performance simulation State of health estimation |
| url | http://www.sciencedirect.com/science/article/pii/S277315372300018X |
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