Real-time estimation of battery state-of-charge with unscented Kalman filter and RTOS μCOS-II platform

Applied Energy

Volumn 162, Issue , 2016, Pages 1410-1418

  He, Hongwen ^a   Xiong, Rui ^a   Peng, Jiankun ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Battery management system; Battery in the loop; Electric vehicles; SoC estimation; Unscented Kalman filter

Indexed keywords

ALGORITHMS; CHARGING (BATTERIES); ELECTRIC BATTERIES; ELECTRIC VEHICLES; KALMAN FILTERS; NONLINEAR FILTERING; SECONDARY BATTERIES; VEHICLES;

BATTERY STATE OF CHARGE; BATTERY-IN-THE-LOOP; ESTIMATION PROBLEM; REAL-TIME ESTIMATION; SOC ESTIMATIONS; THIRD ORDER ACCURACY; UNSCENTED KALMAN FILTER; UNSCENTED TRANSFORM;

BATTERY MANAGEMENT SYSTEMS;

ALGORITHM; COMMUNICATION NETWORK; ELECTRIC VEHICLE; KALMAN FILTER; POWER; REAL TIME; TRACKING;

EID: 84924546616     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.01.120     Document Type: Article

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