Modelling, Control and Optimisation of an Electric Torque Vectoring System in a Formula SAE Race Car

Document Type : Research Paper

Authors
School of Engineering, Computing and Mathematics, Oxford Brookes University, OX3 0BP, Oxford, UK
Abstract
This research presents the design, development, and optimization of a torque vectoring system for a Formula Student vehicle, aimed at improving dynamic stability and handling performance. The study was guided by four primary objectives: constructing an accurate and realistic vehicle model, identifying an optimal control strategy for torque distribution, ensuring operational safety, and establishing a scalable framework for future development and knowledge transfer within the team. Vehicle dynamics were modelled in Simulink and supported by data from the VSM lap time simulation software to replicate real-world behaviour. Three control strategies for torque distribution were implemented and evaluated: a Proportional-Integral-Derivative (PID) controller, a Sliding Mode Controller (SMC), and a Fuzzy Logic Controller (FLC). Each controller was carefully tuned and tested, with performance assessed by comparing the vehicle’s yaw acceleration response against a reference signal. Among the three, the Fuzzy Logic Controller demonstrated the best overall performance in terms of accuracy, responsiveness, and stability, making it the most suitable candidate for the application. The outcome of this research provides a validated control strategy that enhances the dynamic behaviour of Formula Student vehicles. The system's modular design allows for future expansion, including real-world testing, integration with braking strategies, and the adoption of advanced techniques such as Artificial Neural Networks for adaptive control.
Keywords
Subjects

Publisher’s Note Shahid Chamran University of Ahvaz remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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