A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter

Journal of Power Sources

Volumn 243, Issue , 2013, Pages 805-816

  Xiong, Rui ^a,b   Gong, Xianzhi ^b   Mi, Chunting Chris ^b   Sun, Fengchun ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

Adaptive extended; Data driven; Dynamic universal battery model; Kalman filter; Lithium ion battery; State of charge

Indexed keywords

ADAPTIVE EXTENDED; BATTERY MODELS; DATA DRIVEN; LITHIUM-ION BATTERY; STATE OF CHARGE;

CHEMICAL ANALYSIS; EXTENDED KALMAN FILTERS; KALMAN FILTERS; LEAD ACID BATTERIES; LITHIUM BATTERIES; OPEN CIRCUIT VOLTAGE;

ESTIMATION;

EID: 84880049239     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2013.06.076     Document Type: Article

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