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author:

Lin, X. (Lin, X..) [1] | Wang, L. (Wang, L..) [2] | Zhai, L. (Zhai, L..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

In order to improve the economy of electric vehicles and extend the driving range, a new type of multi-mode dual-motor coupled drive electric vehicle (DM-EV) is taken as the research object, and the system configuration and working mode of the electric vehicle are analyzed, aiming at minimizing the instantaneous energy consumption, a control strategy based on the mode switching predictive algorithm is studied. The effectiveness of the proposed control strategy and drive configuration is verified by simulation and bench tests. The simulation results show that under urban congestion conditions, the urban general conditions and the highway conditions, the car energy utilization rate can increase by 2.2%,3.6%,1.7% respectively using the mode switch prediction algorithm. The bench test results show that compared with the general single motor drive system, the energy efficiency of the proposed drive system is improved by 14.2%, 11.5%, 10.1% respectively. © 2019, Society of Automotive Engineers of China. All right reserved.

Keyword:

Bench test; Control strategy; Dual motor drive; Minimum instantaneous energy consumption; Prediction algorithm

Community:

  • [ 1 ] [Lin, X.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350002, China
  • [ 2 ] [Lin, X.]Collaborative Innovation Center of High-End Equipment Manufacturing in Fujian, Fuzhou, 350002, China
  • [ 3 ] [Wang, L.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350002, China
  • [ 4 ] [Wang, L.]Collaborative Innovation Center of High-End Equipment Manufacturing in Fujian, Fuzhou, 350002, China
  • [ 5 ] [Zhai, L.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350002, China
  • [ 6 ] [Zhai, L.]Collaborative Innovation Center of High-End Equipment Manufacturing in Fujian, Fuzhou, 350002, China

Reprint 's Address:

  • [Lin, X.]College of Mechanical Engineering and Automation, Fuzhou UniversityChina

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Source :

Automotive Engineering

ISSN: 1000-680X

Year: 2019

Issue: 1

Volume: 41

Page: 14-20

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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