Abstract
This study developed a torque vectoring control algorithm to improve the handling performance of an electric vehicle and to evaluate the performance of the vehicle dynamics for enhanced controllability and stability. First, this study configured the control algorithm with a supervisory controller that decides the control mode by checking the current driving status of the vehicle and a target yaw rate calculator that reflects the steady-state and transient-state response characteristics according to the control mode, as well as the reference yaw rate calculation, desired yaw moment calculation, and transferred torque calculation. The control mode consists of the agile mode that controls the torque vectoring to improve controllability, and the safe mode that controls the torque vectoring to improve stability. Second, this study performed the modeling of the dual motor type torque vectoring system and an EV AWD vehicle. Finally, this study defined the driving test scenario and evaluation method, as well as the quantitative performance index for each vehicle test, and established a co-simulation environment for the handling test evaluation. It was found that when a vehicle is controlled by applying the torque vectoring system, the handling performance improved according to controllability and safe mode by verifying the simulation.
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