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Yaw moment MRAC with optimal torque vectoring for a four in-wheel motor EV

Author
Ghezzi, M.; Doria-Cerezo, A.; Olm, Josep M.
Type of activity
Presentation of work at congresses
Name of edition
19th International Conference on Industrial Technology
Date of publication
2018
Presentation's date
2018-02-20
Book of congress proceedings
2018 IEEE International Conference on Industrial Technology (ICIT): Lyon, France: February 19-22, 2018: proceedings
First page
1820
Last page
1825
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICIT.2018.8352460 Open in new window
Repository
http://hdl.handle.net/2117/125461 Open in new window
URL
https://ieeexplore.ieee.org/document/8352460 Open in new window
Abstract
A direct yaw moment control of a four in-wheel motor independent drive electric vehicle is proposed. The advantages of this kind of vehicle are exploited by designing an optimal torque vectoring controller. The torque distribution computation coincides with the resolution of an optimization problem, which is carried out with the use of gradient method. Three different cost functions are taken into account to formulate the optimization problem. A yaw moment control is carried out with a Model Ref...
Citation
Ghezzi, M., Doria-Cerezo, A., Olm, J. M. Yaw moment MRAC with optimal torque vectoring for a four in-wheel motor EV. A: IEEE International Conference on Industrial Technology. "2018 IEEE International Conference on Industrial Technology (ICIT): Lyon, France: February 19-22, 2018: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1820-1825.
Keywords
Control, Cost functions, Direct yaw moment control, Double lane changes, Electric machine control, Gradient methods, In-wheel, MRAC, Method of moments, Model reference adaptive control, Moment, Optimization, Optimization problems, Torque, Torque distribution, Traction motors, Vectoring, Vehicle, Vehicle wheels, Vehicles, Yaw Control engineering, Yaw moment control
Group of research
ACES - Advanced Control of Energy Systems

Participants