Enhanced online model identification and state of charge estimation for lithium-ion battery with a FBCRLS based observer

Applied Energy

Volumn 181, Issue , 2016, Pages 332-341

  Wei, Zhongbao ^a   Meng, Shujuan ^b   Xiong, Binyu ^a   Ji, Dongxu ^a   Tseng, King Jet ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Bias compensation; Lithium ion battery; Model identification; Noise variances estimate; Online estimation; State of charge

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; CHARGING (BATTERIES); ELECTRIC BATTERIES; LITHIUM ALLOYS; PARAMETER ESTIMATION; SECONDARY BATTERIES; UNCERTAINTY ANALYSIS;

BIAS COMPENSATION; MODEL IDENTIFICATION; NOISE VARIANCE; ON-LINE ESTIMATION; STATE OF CHARGE;

LITHIUM-ION BATTERIES;

ACCURACY ASSESSMENT; ESTIMATION METHOD; EXPERIMENTAL STUDY; IDENTIFICATION METHOD; INTEGRATED APPROACH; LITHIUM; NOISE; REAL TIME;

EID: 84983462061     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.08.103     Document Type: Article

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