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

Parra Delgado, Alberto; Dendaluce Jahnke, Martín; Zubizarreta, Asier; Pérez Rastelli, Joshué

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http://hdl.handle.net/2183/25754

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

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Parra_Delgado_Alberto_2017_Novel_Fuzzy_Torque_Vectoring_Controller_Electric_Vehicles_per-wheel_Motors.pdf (1.7 MB)

Identifiers

URI: http://hdl.handle.net/2183/25754

Publication date

2017

Authors

Parra Delgado, Alberto

Dendaluce Jahnke, Martín

Zubizarreta, Asier

Pérez Rastelli, Joshué

Bibliographic 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

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.