Adaptive unscented Kalman filter based state of energy and power capability estimation approach for lithium-ion battery

Journal of Power Sources

Volumn 289, Issue , 2015, Pages 50-62

  Zhang, Weige ^a   Shi, Wei ^a   Ma, Zeyu ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Adaptive unscented Kalman filter; Lithium ion battery; Model based; State of available power capability; State of energy; Uncertainty

Indexed keywords

ADAPTIVE FILTERING; AUTOMOTIVE BATTERIES; ELECTRIC VEHICLES; IONS; IRON COMPOUNDS; KALMAN FILTERS; LITHIUM COMPOUNDS; OPEN CIRCUIT VOLTAGE; PHOSPHORUS COMPOUNDS; STATE ESTIMATION;

AVAILABLE POWER; MODEL-BASED OPC; STATE OF ENERGY; UNCERTAINTY; UNSCENTED KALMAN FILTER;

LITHIUM-ION BATTERIES;

EID: 84928715479     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2015.04.148     Document Type: Article

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