Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (3): 462-469.doi: 10.23940/ijpe.20.03.p16.462469

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Control Strategy of Hybrid Electric Vehicle based on Threshold Control

Chunyuan Shia,*, Chen Chenb, Zhilong Yuc, and Ran Lid   

  1. a Engineering Training Center, Harbin University of Science and Technology, Harbin, 150080, China;
    bDepartment of Information Management, Heilongjiang Airports Management Group Co. Ltd, Harbin, 150079, China;
    cSchool of Automation, Harbin University of Science and Technology, Harbin, 150080, China; dSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, 150080, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: Chunyuan Shi E-mail:190971260@qq.com

Abstract: The hybrid electric vehicle, a combination of the conventional fuel vehicle and the pure electric vehicle, is the main development direction in the future due to its unique dynamic structure. The design of a well-performing control strategy is of positive practical significance to the improvement of both the dynamic performance and safety of the vehicle. Based on an analysis of the dynamic system structure and working mode of the hybrid electric vehicle, this paper designs a multi-mode control strategy including start/reverse mode, drive mode, and braking/sliding mode according to the control requirements of hybrid electric vehicles, while optimizing the threshold strategy of mode switching and avoiding frequent switching between modes. According to the dynamic system state and the driver’s driving habits, this paper formulates the switching rules for working states of dynamic systems based on torque and vehicle speed and optimizes the power distribution strategy of the engine, motor, and generator. In addition, this paper establishes a control strategy model in Simulink for simulation, and the simulation results indicate that the control strategy can implement effective control of the vehicle’s dynamic system.

Key words: hybrid electric vehicle, threshold control strategy, mode switching, Simulink simulation