Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus

Journal of the Franklin Institute

Volumn 352, Issue 3, 2015, Pages 776-801

  Li, Liang ^a   Zhang, Yahui ^a,b   Yang, Chao ^a,b   Jiao, Xiaohong ^b   Zhang, Lipeng ^a   Song, Jian ^a  

^a TSINGHUA UNIVERSITY   (China)

^b YANSHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BUSES; DYNAMOMETERS; ECONOMIC AND SOCIAL EFFECTS; GENETIC ALGORITHMS; PARAMETER ESTIMATION; POWERTRAINS; SIMULATED ANNEALING; URBAN TRANSPORTATION; VEHICLE PERFORMANCE;

ADAPTIVE COOLING SCHEDULE; COMPREHENSIVE PERFORMANCE; CROSSOVER AND MUTATION PROBABILITIES; ENHANCED GENETIC ALGORITHMS; HYBRID GENETIC ALGORITHMS; SIMULTANEOUS OPTIMIZATION; STANDARD GENETIC ALGORITHM; URBAN DYNAMOMETER DRIVING SCHEDULES;

PLUG-IN HYBRID VEHICLES;

EID: 84922978077     PISSN: 00160032     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfranklin.2014.10.016     Document Type: Article

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