Integrated Stability Control System for Electric Vehicles with In-wheel Motors using Soft Computing Techniques 2009-01-0435
An electric vehicle model has been developed with four direct-drive in-wheel motors. A high-level vehicle stability controller is proposed, which uses the principles of fuzzy logic to determine the corrective yaw moment required to minimize the vehicle sideslip and yaw rate errors. A genetic algorithm has been used to optimize the parameters of the fuzzy controller. The performance of the controller is evaluated as the vehicle is driven through a double-lane-change maneuver. Preliminary results indicate that the proposed control system has the ability to improve the performance of the vehicle considerably.
Citation: Jalali, K., Uchida, T., McPhee, J., and Lambert, S., "Integrated Stability Control System for Electric Vehicles with In-wheel Motors using Soft Computing Techniques," SAE Int. J. Passeng. Cars – Electron. Electr. Syst. 2(1):109-119, 2009, https://doi.org/10.4271/2009-01-0435. Download Citation
Kiumars Jalali, Thomas Uchida, John McPhee, Steve Lambert
University of Waterloo
SAE World Congress & Exhibition
Tire and Wheel Technology and Vehicle Dynamics and Simulation, 2009-SP-2221, SAE International Journal of Passenger Cars - Electronic and Electrical Systems-V118-7, SAE International Journal of Passenger Cars - Electronic and Electrical Systems-V118-7EJ