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

De Jun Wu; Ting Yong Lu; Li Jun Zhang; Xian Wu Gong

doi:10.4028/www.scientific.net/AMR.926-930.1387

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Parameter Matching and Simulation Study of...

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

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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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

1387-1391

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.1387

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Online since:

May 2014

Authors:

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

Keywords:

Extended-Range Electric Vehicle, Parameter Matching, Powertrain, Simulation

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* - Corresponding Author

References

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