Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter

Energy Conversion and Management

Volumn 49, Issue 1, 2008, Pages 75-82

  Vasebi, A ^a   Bathaee, S M T ^a   Partovibakhsh, M ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Batteries; Extended Kalman filter; Hybrid electric vehicle; State of charge

Indexed keywords

CAPACITORS; ELECTRIC POTENTIAL; KALMAN FILTERS; LEAD ACID BATTERIES; LITHIUM BATTERIES; PROBLEM SOLVING;

HYBRID ELECTRIC VEHICLES (HEV); LITHIUM-ION CELLS; STATE OF CHARGE (SOC);

ELECTRIC VEHICLES;

EID: 35848936951     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2007.05.017     Document Type: Article

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