Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach

Autor(es)

Serralvo Neto, Rafael ; Palermo, Joao Bruno ; Giacomini, Renato ; Rodrigues, Michele ; Delatore, Fabio ; Rossi, Giovana Betoni ; Galeti, Milene ; Buhler, Rudolf Theoderich

• Tipo de documento: Artigo Científico
• Fonte: WORLD ELECTRIC VEHICLE JOURNAL; v. 14, n. 7, p. 24-pg., 2023-07-01.

Resumo

Electric vehicles (EVs) enable the integration of powertrains with multiple motors, allowing for the adjustment of torque delivered to each wheel. This approach permits the implementation of torque vectoring techniques (TV) to enhance the vehicle's stability and cornering response, providing better control of yaw moments. This study utilizes comprehensive telemetry data and an advanced simulator model to assess the influence of torque vectoring (TV) on a Formula SAE (Society of Automotive Engineers) competition vehicle. The telemetry data were collected from a fully instrumented 2WD car, which was then employed to calibrate the simulation model. The calibrated model was subsequently utilized to predict the performance enhancements that could be achieved by implementing a 4WD system. The methodology proved to be a valuable contribution to vehicle design development. This approach also helps evaluate the potential advantages of torque vectoring for drivers with limited experience. (AU)

• Processo FAPESP: 17/18181-2 - Estudo dos efeitos da radiação ionizante em um circuito retificador
• Beneficiário: Alexis Cristiano Vilas Bôas
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica
• Processo FAPESP: 18/25225-9 - Centro de Pesquisa e Análise de São Paulo
• Beneficiário: Sergio Ferraz Novaes
• Modalidade de apoio: Auxílio à Pesquisa - Projetos Especiais