Model-Based Optimization of Torque Vectoring Control System of an Electric Vehicle to Improve Handling Capability

A novel torque vectoring control (TVC) optimization strategy is proposed in this paper to enhance the lateral stability of an all-wheel drive electric vehicle with three independent electric motors. The model-based optimization method is used for the torque vectoring control algorithm improvement. The proposed optimization method provides an optimum lateral split function in different vehicle-level test cases, allowing control parameters to be optimally tuned with less processing effort. The proposed approach is divided into four steps: control system and model in the loop system development, parametrization, objective vehicle assessment and simulation of specific driving manoeuvres and optimization of the vehicle for handling. Optimal torque distribution has improved the lateral performance of a car by optimally adjusting the torque difference between the two rear wheels. Co-simulation results under different driving manoeuvres in high-friction conditions and close-loop performance tests illustrate that the lateral performance of the vehicle is improved with a proposed methodology.