Torque vectoring for energy-efficient and safe electric vehicles
Research Project, 2022

This project will develop advanced algorithms for automated trajectory planning and torque vectoring of all-wheel-drive (AWD) electric vehicles (EVs). The developed algorithms shall autonomously plan the vehicle path while staying on the road and avoiding collision with surrounding road users, shall regulate the vehicle speed along the path, distribute the torque among electric machines (EMs), operate clutches to disengage EMs if needed, and automatically select appropriate gears. Designing such control algorithms will contribute with valuable knowledge on solving mixed-integer nonlinear optimal control problems and on modelling and optimization techniques to make computations tractable for real-time usage, while maintaining high precision and accuracy. The results will be of value to both academia and vehicular industry.


Nikolce Murgovski (contact)

Chalmers, Electrical Engineering, Systems and control

Jonas Fredriksson

Chalmers, Electrical Engineering, Systems and control

Bengt J H Jacobson

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems


Swedish Electomobility Center




Funding Chalmers participation during 2022

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