Power management of plug-in hybrid electric vehicles using neural network based trip modeling

Proceedings of the American Control Conference

Volumn , Issue , 2009, Pages 4601-4606

  Gong, Qiuming ^a   Li, Yaoyu ^a   Peng, Zhongren ^b  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; BATTERY POWER; COMPUTATIONAL COSTS; EQUATION BASED; GLOBAL OPTIMIZATION TECHNIQUES; INTELLIGENT TRANSPORTATION SYSTEMS; MODELING ACCURACY; PLUG-IN HYBRID ELECTRIC VEHICLE; POWER MANAGEMENTS; SIMULATION RESULT; TEST DATA; TRAFFIC FLOW; TRAFFIC FLOW MODELING;

AUTOMOBILES; DYNAMIC PROGRAMMING; ELECTRIC POWER MEASUREMENT; ELECTRIC VEHICLES; ENERGY MANAGEMENT; FUEL ECONOMY; FUELS; GLOBAL OPTIMIZATION; INSULATING MATERIALS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OPTIMIZATION; SECONDARY BATTERIES; SIMULATORS; SYSTEMS ENGINEERING; TRAFFIC SURVEYS; VEHICLE LOCATING SYSTEMS; WIRELESS TELECOMMUNICATION SYSTEMS;

NEURAL NETWORKS;

EID: 70449629708     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2009.5160623     Document Type: Conference Paper

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