Traction control systems help restrict the slip ratio of the wheels in a vehicle within boundaries. The performance of all other motion control systems and stabilizers depend on presence of traction in the wheels at all times. This article presents a Fuzzy-modified TCS based on Maximum Transmissible Torque Estimation (MTTE) method to bound the slip ratio of an electric vehicle with in-wheel motors when driven on slippery roads. The previous similar TC systems do not respond to swift acceleration demands at initial speeds and fail to limit the wheels from rotating freely on slippery surfaces. The proposed system exploits a fuzzy control system in order to improve the performance of the previous MTTE systems in extreme road conditions i.e. snowy and icy roads. The simulation results in MATLAB SIMULINK™ confirm the efficacy of the proposed modification in restricting the wheel slip ratio.
