Design and optimization of driving mode control strategies for front-and-rear-axle-independent-drive-type electric vehicle

Abstract

In order to fully exploit the energy-saving advantages of front-and-rear-axle-independent-drive-type electric vehicle (FRID EV) configuration, this paper designs a drive mode control strategy for it. Based on the characteristics of the drive system with FRID EV, this paper categorizes the drive modes into three, and creates a mathematical model to determine the operating range. Then, an improved particle swarm optimization algorithm is used to optimize the torque distribution based on the principle of system efficiency optimality, so as to develop the optimal drive mode switching control strategy after torque optimization. Finally, the whole vehicle model is built in Cruise for joint simulation with MATLAB /Simulink. Results of the simulation indicate that the drive control strategy with improved particle swarm optimization can effectively improve the energy efficiency of the drive system and boost the vehicle economy, when compared to both the simple two-motor torque equalization strategy and the standard particle swarm optimization strategy.