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《Journal of Chongqing University of Technology(Natural Science)》 2017-08
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Optimization of Electric Vehicle Powertrain System Based on Genetic Algorithm

JIANG Shunming;ZHAO Guangxuan;School of Automotive and Traffic Engineering,Jiangsu University;  
Based on the vehicle parameters and the design requirements,the electric vehicle(EV)parameter with two speed gearbox is matched and the model of the EV is built using the vehicle simulator ADVISOR(advanced vehicle simulator). The combination of the genetic algorithm toolbox and runing the ADVISOR without GUI is applied to optimize the powertrain parameters automatically.And the simulation results verify that the matching results meet the design requirements and the genetic algorithm can improve the dynamic and economic performance of electric vehicles.
【Fund】: 国家自然科学基金资助项目(51575239)
【CateGory Index】: U469.72
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