On-line battery state-of-charge estimation based on an integrated estimator

Applied Energy

Volumn 185, Issue , 2017, Pages 2026-2032

  Wang, Yujie ^a   Zhang, Chenbin ^a   Chen, Zonghai ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Extended Kalman filter; Integrated estimator; Particle filter; State of charge

Indexed keywords

AMPHIBIOUS VEHICLES; CHARGING (BATTERIES); ELECTRIC BATTERIES; ENERGY POLICY; EXTENDED KALMAN FILTERS; KALMAN FILTERS; LEAST SQUARES APPROXIMATIONS; MONTE CARLO METHODS; PARAMETER ESTIMATION; SECONDARY BATTERIES; SOCIAL NETWORKING (ONLINE);

ADAPTIVE EXTENDED KALMAN FILTERS; ELECTROCHEMICAL CHARACTERISTICS; INTEGRATED ESTIMATOR; ON-LINE PARAMETERS ESTIMATION; PARTICLE FILTER; RECURSIVE LEAST SQUARE (RLS); RELIABILITY AND ROBUSTNESS; STATE OF CHARGE;

BATTERY MANAGEMENT SYSTEMS;

ELECTROCHEMICAL METHOD; ENVIRONMENTAL ISSUE; ESTIMATION METHOD; INTEGRATED APPROACH; KALMAN FILTER; LEAST SQUARES METHOD; POLARIZATION; REAL TIME;

EID: 84941695030     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.09.015     Document Type: Article

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