Modelling And Simulation Of Torque Vectoring In Electric Vehicles For Enhanced Stability

R Sudharsan; V Senthil; Saravana Kumar Ayannan; T Buvaneswari; T Senthil Prakash; Silambarasan Rajendran; Ruby Pant

doi:10.29284/ijasis.12.1s.2026.483-495

Authors

R Sudharsan Lecturer, Department of Mechanical Engineering, Annamalai Polytechnic College, Chettinad, Sivagangai, 630102, Tamil Nadu, India.
V Senthil Assistant Professor, Department of Electronics and Communication Engineering, PSV College of Engineering and Technology, Mittapalli, Krishnagiri, 635108, Tamil Nadu, India.
Saravana Kumar Ayannan Department of Mechanical Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India,600073.
T Buvaneswari Professor, Department of Computer Science and Engineering, Annapoorana Engineering College (Autonomous), Salem, 636308, Tamil Nadu, India.
T Senthil Prakash Professor & Head, Department of Computer Science and Engineering, Shree Venkateshwara Hi-Tech Engineering College, Gobichettipalayam, Erode, 638455, Tamil Nadu, India
Silambarasan Rajendran Department of Mechanical Engineering, Annapoorana Engineering College, (Autonomous), Salem, Tamil Nadu, India. 6Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Ruby Pant Department of Mechanical Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Uttarakhand, 248007.

DOI:

https://doi.org/10.29284/ijasis.12.1s.2026.483-495

Keywords:

Electric Vehicle (EV); Torque Vectoring; Vehicle Dynamics; Yaw Rate Control; Lateral Stability; Model Predictive Control (MPC); Fuzzy Logic Control; MATLAB/Simulink; CarSim; Traction Control; Dynamic Modeling; Cornering Performance; Autonomous Vehicles.

Abstract

The advancement of electric vehicle (EV) technology enables independent wheel torque control, providing a unique opportunity to enhance vehicle stability and handling through torque vectoring (TV). Torque vectoring dynamically distributes driving torque among wheels to generate corrective yaw moments, improving traction, cornering, and overall safety under diverse driving conditions. This study focuses on the modeling and simulation of a torque vectoring control strategy for a four-wheel-drive electric vehicle to achieve enhanced lateral stability. A comprehensive vehicle dynamic model incorporating longitudinal, lateral, and yaw motion equations is developed using MATLAB/Simulink and co-simulated with CarSim for realistic vehicle dynamics representation. Three control strategies Proportional-Integral-Derivative (PID), Fuzzy Logic, and Model Predictive Control (MPC) are implemented and evaluated under standard test maneuvers such as double lane-change and constant-radius cornering. The simulation results demonstrate that torque vectoring significantly reduces yaw rate deviation and side-slip angle while improving cornering precision and vehicle responsiveness. Among the tested approaches, the MPC-based controller provides superior adaptability to varying road conditions, achieving up to a 35% improvement in yaw stability and reduced transient oscillations. The findings validate the effectiveness of advanced torque vectoring control in improving the dynamic performance of electric vehicles and highlight its potential integration into autonomous and high-performance EV platforms.

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