Kalman filtering state of charge estimation for battery management system based on a stochastic fuzzy neural network battery model

Energy Conversion and Management

Volumn 53, Issue 1, 2012, Pages 33-39

  Xu, Long ^a   Wang, Junping ^b   Chen, Quanshi ^c  

^a NORTHWEST UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Battery pack; Electric vehicles; Extended Kalman filter (EKF); State of charge (SOC); Stochastic fuzzy neural network

Indexed keywords

BATTERY MANAGEMENT SYSTEM; BATTERY MODELS; BATTERY PACK; ESTIMATION ERRORS; ESTIMATION METHODS; EXTENDED KALMAN FILTERING; FILTERING EFFECTS; KALMAN-FILTERING; MODELING TEST; NI/MH BATTERIES; NON-LINEAR DYNAMICS; SFNN MODEL; STATE OF CHARGE; STATE-OF-CHARGE ESTIMATION; STOCHASTIC FUZZY NEURAL NETWORK;

ELECTRIC VEHICLES; EXTENDED KALMAN FILTERS; FUZZY FILTERS; FUZZY NEURAL NETWORKS; LEAD ACID BATTERIES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ESTIMATION;

EID: 80052849564     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2011.06.003     Document Type: Article

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