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Volume 29Issue 4
Dec. 2020
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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2020> 29(4): 592-602
Hongwei Zhang, Weichi Chen, Zhuangzhuang Shang, Zhifeng Xu, Zepeng Gao, Yong Chen, Hongbin Ren. Optimum Driving System Design for Dual-Motor Pure Electric Vehicles[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(4): 592-602. doi: 10.15918/j.jbit1004-0579.20079
Citation: Hongwei Zhang, Weichi Chen, Zhuangzhuang Shang, Zhifeng Xu, Zepeng Gao, Yong Chen, Hongbin Ren. Optimum Driving System Design for Dual-Motor Pure Electric Vehicles[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(4): 592-602.doi:10.15918/j.jbit1004-0579.20079
shu

Optimum Driving System Design for Dual-Motor Pure Electric Vehicles

doi:10.15918/j.jbit1004-0579.20079
  • 1.

    Automobile Research Institute, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    Automotive Engineering Institute, Guangzhou Automobile Group Co. Ltd., Guangzhou 511434, China

  • 3.

    Beijing Electric Vehicle Co. Ltd., Beijing 100081, China

Funds:Beijing Institute of Technology Research Fund Program for Young Scholars (3030011181911); the National Natural Science Foundation of China (520020025)
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  • Corresponding author:lecturer, Ph.D. E-mail:renhongbin2106@126.com
  • Received Date:2020-08-06
  • Publish Date:2020-12-30
    Abstract
  • A pure electric vehicle driven by dual motors is taken as the research object and the driving scheme of the driving motor is improved to increase the transmission efficiency of existing electric vehicles. Based on the architecture of the transmission system, we propose vehicle performance parameters and performance indexes of a pure electric vehicle, a time-sharing driving strategy of dual motors. First, the parameters of the battery, motor, and transmission system are matched. Then, the electric vehicle transmission model is built in Amesim and the control strategy is designed in Simulink. With the optimization goal of improving the vehicle’s dynamic performance and driving range, the optimal parameters are determined through analysis. Finally, the characteristics of the motor are tested on the bench. The results show that the energy-saving potential of the time-sharing driven double motor is higher, and the driving mileage of the double motor drive is increased by 4%.
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