Torque Distribution Optimization Strategy for Independently Driven Trams with Front and Rear Axles

Electric vehicles have become an emerging research field due to their energy-saving and low-pollution advantages, among which, front- and rear-axle independently-driven vehicles have become the mainstream direction in the future due to their outstanding advantages. The study introduces a comprehensive optimization approach for torque distribution aimed at reducing the total energy usage of electric vehicles driven independently by both front and rear axles, addressing issues like wheezing. At first, the behavior model during the electric vehicle's steering state is established based on the PID algorithm and particle swarm optimization algorithm. Subsequently, the study examines the vehicle's energy usage and steadiness, developing a comprehensive strategy for torque distribution aimed at reducing the motor's energy consumption and improving the vehicle's stability. Finally, the optimization results are compared and analyzed by combining the references and the examples of the ideal state, and the study reveals that the optimization technique suggested in this document yields superior control outcomes. Findings indicate that the torque distribution optimization approach introduced in this study enhances hysteresis., operational stability, torque distribution control performance, and driving safety under the steering condition of electric vehicles.