An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle

Applied Energy

Volumn 185, Issue , 2017, Pages 1663-1672

  Chen, Zeyu ^a   Xiong, Rui ^b   Wang, Chun ^b   Cao, Jiayi ^b  

^a NORTHEASTERN UNIVERSITY   (China)

^b BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Local optimal control; Particle swarm optimization; Plug in hybrid electric vehicles; Power management; Predictive control

Indexed keywords

ALGORITHMS; ELECTRIC LINES; ELECTRIC MACHINE CONTROL; ENERGY MANAGEMENT; FORECASTING; FUZZY LOGIC; HEURISTIC METHODS; HYBRID VEHICLES; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PLUG-IN ELECTRIC VEHICLES; POWER MANAGEMENT; RESPIRATORY MECHANICS; TRAFFIC SIGNALS; VEHICLES;

DYNAMIC NEIGHBORHOOD; ENERGY MANAGEMENT STRATEGIES; FUZZY LOGIC CONTROLLERS; LOCAL OPTIMAL; ON-LINE CORRECTIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PLUG IN HYBRID ELECTRIC VEHICLES; PREDICTIVE CONTROL;

PLUG-IN HYBRID VEHICLES;

ALGORITHM; CORRECTION; ELECTRIC VEHICLE; ENERGY PLANNING; ENERGY POLICY; OPTIMIZATION; POWER GENERATION;

EID: 85004059514     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.01.071     Document Type: Article

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