Design and Development of a Dual Motor Electric Vehicle with Torque Vectoring Control

Abstract

The goal of this project is to build and test a dual-motor EV prototype with a torque vectoring system to make it more stable, give it better traction, and improve its overall driving performance. This project goes beyond just simulating the work; it also includes real-time hardware implementation with an embedded control system. The system has two motors that can be controlled separately. This means that the torque can be split between the left and right wheels depending on the road conditions. A Vehicle Control Unit that uses a microcontroller takes inputs like steering and wheel speed and figures out how much torque each motor should get. The system helps the car turn more smoothly and cuts down on problems like understeer and oversteer by changing this torque difference. The prototype has important parts like motor drivers, sensors, and a power supply that show how torque vectoring works in real life. To keep the system stable and make sure that torque changes happen smoothly, basic feedback control is used. Tests show that this setup is easier to handle, turns more smoothly, and has better traction than a single-motor setup. In general, this project shows that torque vectoring can work in a real system, which is a good start for future electric vehicles and self-driving cars.