2014•Advanced materials researchOpen access

Parameter Matching and Simulation Study of Powertrain for Extended-Range Electric Vehicle

De Jun Wu, Ting Lu, Li Jun Zhang, Xian Wu Gong

Abstract

A method of parameter matching for extended-range electric vehicle (E-REV) was discussed to meet the requirements given, then using a model and genetic algorithm to optimize the transmission ratio of E-REV. The parameters of the battery and range extender (RE) are designed by driving range and power requirement. The simulation results shows that the parameter matching is reasonable, and the power performance and driving range could meet the design requirements.

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Available abstract

Key concepts: Powertrain, Range (aeronautics), Matching (statistics), Electric vehicle, Driving range, Automotive engineering, Engineering, Power (physics)