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

  • Autores: Alberto Parra Delgado, Martín Dendaluce Jahnke, Asier Zubizarreta Pico, Joshué Pérez Rastelli
  • Localización: Actas de las XXXVIII Jornadas de Automática / coord. por Hilario López García, 2017, ISBN 978-84-16664-74-0, págs. 401-407
  • Idioma: inglés
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  • Resumen
    • 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.


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