Novel Fuzzy Torque Vectoring Controller for Electric Vehicles with per-wheel Motors

  1. Alberto Parra
  2. Martín Dendaluce
  3. Asier Zubizarreta
  4. Joshué Pérez
Livre:
Actas de las XXXVIII Jornadas de Automática
  1. Hilario López García (coord.)

Éditorial: Servicio de Publicaciones ; Universidad de Oviedo

ISBN: 978-84-16664-74-0

Année de publication: 2017

Pages: 401-407

Congreso: Jornadas de Automática (38. 2017. Gijón)

Type: Communication dans un congrès

Résumé

The continuous innovation on the electric vehicle area has led to the use of multi-motor powertrain topologies. These powertrains imply new degrees of freedom and better controllability, thus enabling elaborate control solutions for enhanced vehicle dynamics. This allows not only to achieve better vehicle stability, but also greater performance and responsiveness, leading to safer and more satisfying vehicle handling. This work presents a Fuzzy Torque Vectoring Controller for a rear-wheel drive car with independent motors per wheel. The developed design has been validated in a high fidelity vehicle dynamics simulation platform demonstrating its capability to enhance not only curve performance, but also stability.