健康状况
电池(电)
估计
过程(计算)
计算机科学
国家(计算机科学)
风险分析(工程)
优势和劣势
可靠性工程
运筹学
工程类
功率(物理)
系统工程
医学
量子力学
认识论
操作系统
物理
哲学
算法
作者
Rui Xiong,Linlin Li,Jinpeng Tian
标识
DOI:10.1016/j.jpowsour.2018.10.019
摘要
To ensure the driving safety and avoid potential failures for electric vehicles, evaluating the health state of the battery properly is of significant importance. This study aims to serve as a useful support for researchers and practitioners by systematically reviewing the available literature on state of health estimation methods. These methods can be divided into two types: experimental and model-based estimation methods. Experimental methods are conducted in a laboratory environment to analyze battery aging process and provide theoretical support for model-based methods. Based on a battery model, model-based estimation methods identify the parameters, which have certain relationships with battery aging level, to realize state of health estimation. On the basis of reading extensive literature, methods for determining the health state of the battery are explained in a deeper way, while their corresponding strengths and weaknesses of these methods are analyzed in this paper. At the end of the paper, conclusions for these methods and prospects for the development trend of health state estimation are made.
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