电气化
估计
计算机科学
鉴定(生物学)
电池(电)
领域(数学)
国家(计算机科学)
锂(药物)
功率(物理)
在线模型
锂离子电池
系统工程
工程类
可靠性工程
电气工程
电
纯数学
物理
内分泌学
统计
生物
医学
量子力学
植物
数学
算法
作者
Ruohan Guo,Weixiang Shen
出处
期刊:Vehicles
[Multidisciplinary Digital Publishing Institute]
日期:2021-12-21
卷期号:4 (1): 1-29
被引量:72
标识
DOI:10.3390/vehicles4010001
摘要
With rapid transportation electrification worldwide, lithium-ion batteries have gained much attention for energy storage in electric vehicles (EVs). State of power (SOP) is one of the key states of lithium-ion batteries for EVs to optimise power flow, thereby requiring accurate online estimation. Equivalent circuit model (ECM)-based methods are considered as the mainstream technique for online SOP estimation. They primarily vary in their basic principle, technical contribution, and validation approach, which have not been systematically reviewed. This paper provides an overview of the improvements on ECM-based online SOP estimation methods in the past decade. Firstly, online SOP estimation methods are briefed, in terms of different operation modes, and their main pros and cons are also analysed accordingly. Secondly, technical contributions are reviewed from three aspects: battery modelling, online parameters identification, and SOP estimation. Thirdly, SOP testing methods are discussed, according to their accuracy and efficiency. Finally, the challenges and outlooks are presented to inspire researchers in this field for further developments in the future.
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