Battery state of charge online estimation based on particle filter

Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011

Volumn 4, Issue , 2011, Pages 2233-2236

  Gao, Mingyu ^a,b   Liu, Yuanyuan ^b   He, Zhiwei ^b  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b Hangzhou Dianzi Universiyt   (China)

Author keywords

battery management system; particle filter; state of charge

Indexed keywords

ACCURATE ESTIMATION; BATTERY MANAGEMENT SYSTEM; BATTERY STATE OF CHARGE; DISCHARGE CURRENTS; KEY TECHNIQUES; MEASUREMENT MODEL; NON-LINEAR DYNAMIC SYSTEMS; ON-LINE ESTIMATION; PARTICLE FILTER; STATE OF CHARGE; STATE VARIABLES; TERMINAL VOLTAGES; TRANSMISSION MODEL;

DYNAMICAL SYSTEMS; ELECTRIC VEHICLES; ESTIMATION; NONLINEAR DYNAMICAL SYSTEMS; NONLINEAR FILTERING; SIGNAL PROCESSING;

LEAD ACID BATTERIES;

EID: 84862947774     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2011.6100603     Document Type: Conference Paper

References (8)

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