锂(药物)
荷电状态
可靠性工程
等效电路
鉴定(生物学)
相关性(法律)
航程(航空)
电气工程
工程类
计算机科学
物理
电池(电)
电压
系统工程
功率(物理)
医学
法学
植物
航空航天工程
内分泌学
生物
量子力学
政治学
作者
Zhen Tao,Zhenyu Zhao,Changdong Wang,Lantao Huang,Huamin Jie,Hong Li,Qianying Hao,Yuhang Zhou,Kye Yak See
出处
期刊:Measurement
[Elsevier BV]
日期:2024-06-22
卷期号:236: 115148-115148
被引量:12
标识
DOI:10.1016/j.measurement.2024.115148
摘要
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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