Administrator by China Associction for Science and Technology
Sponsored by China Society of Automotive Engineers
Published by AUTO FAN Magazine Co. Ltd.

›› 2019, Vol. 41 ›› Issue (1): 14-20.doi: 10.19562/j.chinasae.qcgc.2019.01.003

Previous Articles     Next Articles

A Study on Minimum Instantaneous Energy Consumption Control Strategy ofDM-EV Based on Mode Switching Prediction Algorithm

Lin Xinyou, Wang Liming, Zhai Liuqing   

  1. 1.College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350002;
    2.Collaborative Innovation Center of High-End Equipment Manufacturing in Fujian, Fuzhou 350002
  • Received:2017-11-17 Online:2019-01-25 Published:2019-01-25

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.

Key words: dual motor drive, control strategy, minimum instantaneous energy consumption, prediction algorithm, bench test