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Applied energy v.212, 2018년, pp.1589 - 1600   SCI SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis

Yang, Jufeng (Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Street, Nanjing, Jiangsu 211106, China ) ; Xia, Bing (Department of Electrical and Computer Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182, USA ) ; Huang, Wenxin (Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Street, Nanjing, Jiangsu 211106, China ) ; Fu, Yuhong (Department of Electrical and Computer Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182, USA ) ; Mi, Chris (Department of Electrical and Computer Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182, USA ) ;
  • 초록  

    Abstract Battery state-of-health (SoH) estimation is a critical function in a well-designed battery management system (BMS). In this paper, the battery SoH is detected based on the dynamic characteristic of the charging current during the constant-voltage (CV) period. Firstly, according to the preliminary analysis of the battery test data, the time constant of CV charging current is proved to be a robust characteristic parameter related to the battery aging. Secondly, the detailed expression of the current time constant is derived based on the first order equivalent circuit model (ECM). Thirdly, the quantitative correlation between the normalized battery capacity and the current time constant is established to indicate the battery SoH. Specifically, for the uncompleted CV charging process, the logarithmic function-based current time constant prediction model and the reference correlation curve are established to identify the battery capacity fading. At last, experimental results showed that regardless of the adopted data size, the correlation identified from one battery can be used to indicate the SoH of other three batteries within 2.5% error bound except a few outliers. Highlights Derived the expression of CV charging current based on ECM. Introduced time constant of CV charging current to estimate battery SoH. Established a quantitative correlation between current time constant and battery SoH. Discovered that current time constant is a logarithmic function of fitted data size. Employed uncompleted CV charging data to estimate battery SoH.


  • 주제어

    Lithium-ion battery .   State-of-health (SoH) .   Constant-current constant-voltage (CCCV) charge .   Equivalent circuit model (ECM) .   Current time constant.  

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