Publication detail

Enhancement of Vehicle Dynamics Through Adaptive Torque Vectoring Control with PMSM Powertrain

ŠIMANSKÝ, S.

Original Title

Type

conference paper

Language

English

Original Abstract

This paper presents an adaptive control torque vectoring algorithm designed for enhancing vehicle dynamics and stability through precise manipulation of individual wheel torques. The algorithm utilizes the vehicle’s yaw rate as the primary input parameter to dynamically adjust the torque distribution among the wheels, thereby optimizing the usage of traction, overall manoeuvrability, and handling performance. By integrating adaptive control techniques, the proposed algorithm continuously adapts to varying driving conditions and vehicle dynamics, ensuring robust and effective torque vectoring across a wide range of scenarios. Lastly, the functionality of the developed algorithm is demonstrated through simulations with various driving scenarios.

Keywords

Torque Vectoring, Formula Student, Yaw Rate control, Adaptive control, Simulink

Authors

ŠIMANSKÝ, S.

Released

23. 4. 2024

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6230-4

Book

Proceedings II of the 30th Conference STUDENT EEICT 2024: Selected papers

Edition

Pages from

Pages to

Pages count

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf

BibTex

@inproceedings{BUT193820,
  author="Sebastian {Šimanský}",
  title="Enhancement of Vehicle Dynamics Through
Adaptive Torque Vectoring Control with PMSM
Powertrain",
  booktitle="Proceedings II of the 30th Conference STUDENT EEICT 2024: Selected papers",
  year="2024",
  series="1",
  pages="48--51",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2024.48",
  isbn="978-80-214-6230-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf"
}