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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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| 图1 Classification of battery SOH estimation methods. | 图2 (a) Current and voltage profile in a discharge and charge pulse, (b) corresponding relationship of EIS and electric elements. | 引文信息: Rui, Xiong, et al. Towards a smarter battery management system: A critical review on battery state of health monitoring methods[J]. Journal of Power Sources, 2018. (下载链接) | 其他相关论文: 1. Tian J , Xiong R , Shen W . State of health estimation based on differential temperature for lithium ion batteries[J]. IEEE Transactions on Power Electronics, 2020, PP(99):1-1.(下载链接)
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