State of charge estimation for lithium-ion batteries: An adaptive approach

Control Engineering Practice

Volumn 25, Issue 1, 2014, Pages 45-54

  Fang, Huazhen ^a   Wang, Yebin ^b   Sahinoglu, Zafer ^b   Wada, Toshihiro ^c   Hara, Satoshi ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^c MITSUBISHI ELECTRIC CORPORATION   (Japan)

Author keywords

Adaptive estimation; Iterated extended Kalman filter; Li+ battery; State and parameter estimation; State of charge

Indexed keywords

ADAPTIVE ESTIMATION; BATTERY MANAGEMENT SYSTEM; ITERATED EXTENDED KALMAN FILTER; LITHIUM-ION BATTERY; SINGLE-PARTICLE MODEL; STATE AND PARAMETER ESTIMATIONS; STATE OF CHARGE; STATE-OF-CHARGE ESTIMATION;

LEAD ACID BATTERIES; PARAMETER ESTIMATION; STATE SPACE METHODS;

ESTIMATION;

EID: 84893851400     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2013.12.006     Document Type: Article

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