Enhancement of Vehicle Dynamics Through Adaptive Torque Vectoring Control with PMSM Powertrain

Abstract

This paper presents an adaptive control torque vectoring algorithm designed for enhancing vehicle dynamics and stability through precise manipulation of individual wheel torques. The algorithm utilizes the vehicle’s yaw rate as the primary input parameter to dynamically adjust the torque distribution among the wheels, thereby optimizing the usage of traction, overall manoeuvrability, and handling performance. By integrating adaptive control techniques, the proposed algorithm continuously adapts to varying driving conditions and vehicle dynamics, ensuring robust and effective torque vectoring across a wide range of scenarios. Lastly, the functionality of the developed algorithm is demonstrated through simulations with various driving scenarios.