State of charge estimation of lithium batteries: Review for equivalent circuit model methods
Lithium batteries play a crucial role in powering modern technology due to their high energy density, long life span, low self-discharge rate, making them indispensable for numerous applications. Accurate information on the state of charge (SOC) is crucial, as it not only enhances battery management...
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| Published in | Measurement : journal of the International Measurement Confederation Vol. 236; p. 115148 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.08.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0263-2241 |
| DOI | 10.1016/j.measurement.2024.115148 |
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| Abstract | Lithium batteries play a crucial role in powering modern technology due to their high energy density, long life span, low self-discharge rate, making them indispensable for numerous applications. Accurate information on the state of charge (SOC) is crucial, as it not only enhances battery management but also mitigates range anxiety. Previous research has proposed various SOC estimation methods, focused on principles, model evaluation, and verification. Several reviews have summarized these methods, but little has specifically focused on discussing the equivalent circuit model (ECM) methods, which are renowned for their physical relevance and accuracy. This review examines various commercial lithium battery models, analyzing the rationale behind the ECM methods’ selection and the associated evaluation techniques. It offers a thorough overview of lithium battery characteristics, modeling, and parameter identification methods. Moreover, this review identifies existing limitations and challenges, and proposes future directions in testing setups and evaluation methodologies to improve SOC estimation. |
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| AbstractList | Lithium batteries play a crucial role in powering modern technology due to their high energy density, long life span, low self-discharge rate, making them indispensable for numerous applications. Accurate information on the state of charge (SOC) is crucial, as it not only enhances battery management but also mitigates range anxiety. Previous research has proposed various SOC estimation methods, focused on principles, model evaluation, and verification. Several reviews have summarized these methods, but little has specifically focused on discussing the equivalent circuit model (ECM) methods, which are renowned for their physical relevance and accuracy. This review examines various commercial lithium battery models, analyzing the rationale behind the ECM methods’ selection and the associated evaluation techniques. It offers a thorough overview of lithium battery characteristics, modeling, and parameter identification methods. Moreover, this review identifies existing limitations and challenges, and proposes future directions in testing setups and evaluation methodologies to improve SOC estimation. |
| ArticleNumber | 115148 |
| Author | Tao, Zhen Zhou, Yuhang See, Kye Yak Hao, Qianying Li, Hong Huang, Lantao Zhao, Zhenyu Jie, Huamin Wang, Changdong |
| Author_xml | – sequence: 1 givenname: Zhen surname: Tao fullname: Tao, Zhen email: taoz0008@e.ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore – sequence: 2 givenname: Zhenyu orcidid: 0000-0003-1501-4272 surname: Zhao fullname: Zhao, Zhenyu email: zhaozy@nus.edu.sg organization: Department of Electrical and Computer Engineering, National University of Singapore, Singapore – sequence: 3 givenname: Changdong surname: Wang fullname: Wang, Changdong email: hitwcd@stu.hit.edu.cn organization: School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China – sequence: 4 givenname: Lantao surname: Huang fullname: Huang, Lantao email: lantaohuang@xmu.edu.cn organization: Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China – sequence: 5 givenname: Huamin surname: Jie fullname: Jie, Huamin email: jieh0002@e.ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore – sequence: 6 givenname: Hong surname: Li fullname: Li, Hong email: hli@bjtu.edu.cn organization: School of Electrical Engineering, Beijing Jiaotong University, Beijing, China – sequence: 7 givenname: Qianying surname: Hao fullname: Hao, Qianying email: qhao001@e.ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore – sequence: 8 givenname: Yuhang surname: Zhou fullname: Zhou, Yuhang email: yzhou050@e.ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore – sequence: 9 givenname: Kye Yak surname: See fullname: See, Kye Yak email: ekysee@ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore |
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