A data-driven adaptive state of charge and power capability joint estimator of lithium-ion polymer battery used in electric vehicles

Energy

Volumn 63, Issue , 2013, Pages 295-308

  Xiong, Rui ^a,b   Sun, Fengchun ^a   He, Hongwen ^a   Nguyen, Trong Duy ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

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

Author keywords

Adaptive extended Kalman filter; Data driven; Electric vehicles; Lithium ion polymer battery; State of charge (SoC); State of power capability (SoP)

Indexed keywords

ALGORITHMS; ELECTRIC VEHICLES; EXTENDED KALMAN FILTERS; LEAD ACID BATTERIES; LEAST SQUARES APPROXIMATIONS; LITHIUM ALLOYS; POLYMERS;

ADAPTIVE EXTENDED KALMAN FILTERS; DATA-DRIVEN; LITHIUM-ION POLYMER BATTERIES; STATE OF CHARGE; STATE OF POWER;

ESTIMATION;

ALGORITHM; ELECTRIC VEHICLE; LITHIUM; POLYMER; REAL TIME;

EID: 84888430871     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2013.10.027     Document Type: Article

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