Multicell state estimation using variation based sequential Monte Carlo filter for automotive battery packs

Journal of Power Sources

Volumn 277, Issue , 2015, Pages 95-103

  Li, Jiahao ^a   Klee Barillas, Joaquin ^a   Guenther, Clemens ^a   Danzer, Michael A ^a  

^a ZENTRUM FÜR SONNENENERGIE UND WASSERSTOFF FORSCHUNG BADEN WÜRTTEMBERG ZSW   (Germany)

Author keywords

Battery state estimation; Carlo filter; Cell to cell variation; Lithium ion battery; Monte; Recursive least square filter; Sequential

Indexed keywords

CHARGING (BATTERIES); ELECTRIC BATTERIES; LITHIUM ALLOYS; LITHIUM BATTERIES; MONTE CARLO METHODS; POSITION CONTROL; PROBABILITY DENSITY FUNCTION; SECONDARY BATTERIES; SIGNAL FILTERING AND PREDICTION; STATE ESTIMATION;

CARLO FILTER; CELL-TO-CELL VARIATION; LITHIUM-ION BATTERY; MONTE; RECURSIVE LEAST SQUARE (RLS); SEQUENTIAL;

BATTERY MANAGEMENT SYSTEMS;

EID: 84919825517     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2014.12.010     Document Type: Article

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