An Analytical Method to Study Control Strategy of Torque-Vectoring Transmissions for Electric Vehicles Using MATLAB Simulink

Torque vectoring offers drive flexibility and continuous individual wheel torque regulation, which is unavailable in conventional transmission systems. Electric vehicles with multiple drivetrains and torque-vectoring system can significantly enhance vehicle response and handling, and thus the active safety, efficiency, and performance of the vehicle in all driving conditions. The current methodology of predicting performance characteristics is limited through slip rate calculations and yaw rate calculations. The vehicle dynamic performance evaluations with above said methodologies holds good for dynamic cornering. But in the scenarios where the vehicle moving in straight drive with different wheel traction requirements on either side (split-μ condition) and that requires torque vectoring. These above methods do not help to evaluate the performance of vehicle. Because these methodologies are based on predicting dynamic center-of-gravity values of vehicle. In the proposed methodology, torque-vectoring condition during straight drive scenarios is evaluated along with dynamic cornering using various control strategies. The traction available at each wheel due to split-μ condition is taken in consideration for evaluating the performance requirements of a vehicle. A MATLAB Simulink model of an electric vehicle with above said parameters is developed to perform simulation, which in a way overcomes the split traction requirements in both straight drive and dynamic cornering based on feedback. The study focuses on evaluating various parameters such as energy demand, torque distribution, steer angle, lateral acceleration, and longitudinal acceleration in different driving scenarios.