Online learning control for hybrid electric vehicle

Chinese Journal of Mechanical Engineering (English Edition)

Volumn 25, Issue 1, 2012, Pages 98-106

  Li, Weimin ^a   Xu, Guoqing ^b,c   Xu, Yangsheng ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Energy management strategy; Hybrid electric vehicle; Neural dynamic programming

Indexed keywords

ADVANCED VEHICLE; BELLMAN EQUATIONS; COMPUTATIONAL COSTS; DESIGN PROCEDURE; DRIVING CONDITIONS; ENERGY MANAGEMENT STRATEGIES; FIXED PARAMETERS; HYBRID ELECTRIC VEHICLE; LOW LEVEL; NEURAL DYNAMIC PROGRAMMING; ONLINE LEARNING; ONLINE LEARNING ALGORITHMS; OPERATING CONDITION; OPTIMAL CONTROLS; OPTIMALITY; PRIOR INFORMATION; REAL-TIME IMPLEMENTATIONS; SELF-TUNE; STATE OF CHARGE; STOCHASTIC DYNAMIC PROGRAMMING; TD METHOD; TEMPORAL DIFFERENCES; TEST BENCHES; UTILITY FUNCTIONS;

ELECTRIC VEHICLES; ENERGY MANAGEMENT; FUEL ECONOMY; HYBRID VEHICLES; LEARNING ALGORITHMS; NEURAL NETWORKS; REAL TIME CONTROL;

SECONDARY BATTERIES;

EID: 84863074231     PISSN: 10009345     EISSN: None     Source Type: Journal    
DOI: 10.3901/CJME.2012.01.098     Document Type: Article

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