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

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http://hdl.handle.net/2183/25754
Atribución-NoComercial-CompartirIgual 4.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 4.0 España
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  • Jornadas de Automática (38ª. 2017. Gijón) [144]
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Title
Novel Fuzzy Torque Vectoring Controller for Electric Vehicles with per-wheel Motors
Author(s)
Parra Delgado, Alberto
Dendaluce Jahnke, Martín
Zubizarreta, Asier
Pérez Rastelli, Joshué
Date
2017
Citation
Parra Delgado, A., Dendaluce Jahnke, M., Zubizarreta Pico, A., Joshué Pérez Rastelli, J. Novel Fuzzy Torque Vectoring Controller for Electric Vehicles with per-wheel Motors. En Actas de las XXXVIII Jornadas de Automática, Gijón, 6-8 de Septiembre de 2017 (pp.401-407). DOI capítulo: https://doi.org/10.17979/spudc.9788497497749.0401. DOI libro: : https://doi.org/10.17979/spudc.9788497497749
Versions
http://hdl.handle.net/10651/46520
Abstract
[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.
Keywords
Torque vectoring (TV)
Electric vehicle (EV)
Yaw rate
Sideslip angle
Fuzzy logic
 
Editor version
https://doi.org/10.17979/spudc.9788497497749.0401
Rights
Atribución-NoComercial-CompartirIgual 4.0 España
ISBN
978-84-16664-74-0 (UOV)
 
978-84-9749-774-9 (UDC electrónico)
 

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