Dynamic energy management for hybrid electric vehicle based on approximate dynamic programming

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 7864-7869

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

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Approximate dynamic programming; Energy management strategy; Hybrid electric vehicle

Indexed keywords

COST FUNCTIONS; ENERGY MANAGEMENT; HYBRID VEHICLES; LEARNING SYSTEMS; STOCHASTIC SYSTEMS; VEHICLE PERFORMANCE;

APPROXIMATE DYNAMIC PROGRAMMING; DYNAMIC ENERGY MANAGEMENTS; ENERGY MANAGEMENT STRATEGIES; GLOBAL OPTIMAL CONTROL; ON-LINE LEARNING METHODS; PARALLEL HYBRID ELECTRIC VEHICLES; RULE-BASED CONTROL STRATEGIES; STOCHASTIC APPROACH;

DYNAMIC PROGRAMMING;

EID: 52149094600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4594156     Document Type: Conference Paper

References (8)

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