Cloud computing-based energy optimization control framework for plug-in hybrid electric bus

Energy

Volumn 125, Issue , 2017, Pages 11-26

  Yang, Chao ^a   Li, Liang ^a,b   You, Sixiong ^a   Yan, Bingjie ^a   Du, Xian ^c  

^a TSINGHUA UNIVERSITY   (China)

^b BEIJING INSTITUTE OF TECHNOLOGY   (China)

^c Massachusetts Institute of Technology   (United States)

Author keywords

Driving conditions clustering; Energy management; Energy optimization control framework; Plug in hybrid electric bus; Stochastic receding horizon control

Indexed keywords

BUS DRIVERS; CLOUD COMPUTING; ENERGY MANAGEMENT; FUEL ECONOMY; FUELS; K-MEANS CLUSTERING; MARKOV CHAINS; STOCHASTIC SYSTEMS; SUPPORT VECTOR MACHINES; TRAFFIC CONTROL;

COMPLICATED CHARACTERISTICS; DRIVING CONDITIONS; ENERGY OPTIMIZATION; OPTIMIZED ENERGY MANAGEMENTS; PLUG-IN HYBRIDS; RECEDING HORIZON CONTROL; STOCHASTIC INPUTS; VEHICLE FUEL ECONOMY;

PLUG-IN HYBRID VEHICLES;

CLUSTER ANALYSIS; COMPUTER SIMULATION; ELECTRIC VEHICLE; ENERGY MARKET; FUEL CONSUMPTION; MARKOV CHAIN; OPTIMIZATION; STOCHASTICITY;

EID: 85014062211     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2017.02.102     Document Type: Article

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