A supervisory control strategy for plug-in hybrid electric vehicles based on energy demand prediction and route preview

IEEE Transactions on Vehicular Technology

Volumn 64, Issue 5, 2015, Pages 1691-1700

  Tianheng, Feng ^a   Lin, Yang ^a   Qing, Gu ^b   Yanqing, Hu ^a   Ting, Yan ^a   Bin, Yan ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b TONGJI UNIVERSITY   (China)

Author keywords

Adaptive equivalent consumption minimization strategy (A ECMS); energy demand prediction; neural network (NN); plug in hybrid electric vehicle (PHEV); supervisory control strategy

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; BATTERY MANAGEMENT SYSTEMS; CHARGING (BATTERIES); ELECTRIC MACHINE CONTROL; ENERGY MANAGEMENT; FORECASTING; FUEL ECONOMY; HYBRID VEHICLES; VEHICLES;

ADAPTIVE EQUIVALENT CONSUMPTION MINIMIZATION STRATEGY (A-ECMS); ENERGY DEMAND PREDICTION; NEURAL NETWORK (NN); PLUG IN HYBRID ELECTRIC VEHICLES; SUPERVISORY CONTROL STRATEGY;

PLUG-IN HYBRID VEHICLES;

EID: 84929353061     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2014.2336378     Document Type: Article

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