Forward power-train energy management modeling for assessing benefits of integrating predictive traffic data into plug-in-hybrid electric vehicles

Transportation Research Part D: Transport and Environment

Volumn 17, Issue 3, 2012, Pages 201-207

  He, Yiming ^a   Rios, Jackeline ^b   Chowdhury, Mashrur ^a   Pisu, Pierluigi ^b   Bhavsar, Parth ^a  

^a AMRL   (United States)

^b CLEMSON UNIVERSITY   (United States)

Author keywords

Driving cycle optimization; Intelligent transportation systems; Plug in hybrid electric vehicles

Indexed keywords

EFFICIENCY; ENERGY EFFICIENCY; ENERGY MANAGEMENT; ENERGY MANAGEMENT SYSTEMS; HYBRID VEHICLES; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OPTIMIZATION; POWER MANAGEMENT; TRAFFIC CONTROL; TRANSPORTATION; VEHICLES;

DRIVING CYCLE; ENERGY EFFICIENCY IMPROVEMENTS; FUEL EFFICIENCY IMPROVEMENT; INTELLIGENT TRANSPORTATION; INTELLIGENT TRANSPORTATION SYSTEMS; OVERALL ENERGY EFFICIENCY; PLUG IN HYBRID ELECTRIC VEHICLES; POWER MANAGEMENT SYSTEMS;

PLUG-IN HYBRID VEHICLES;

ALGORITHM; ELECTRIC VEHICLE; ENERGY EFFICIENCY; ENERGY PLANNING; OPTIMIZATION; ROAD TRANSPORT; TRAIN;

EID: 84855267417     PISSN: 13619209     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trd.2011.11.001     Document Type: Article

References (8)

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