TY - GEN
T1 - Race-Track testing of a torque vectoring algorithm on a motor-in-wheel car using a model-based methodology with a hil and multibody simulator setup
AU - Dendaluce, Martin
AU - Iglesias, Iñaki
AU - Martin, Adrian
AU - Prieto, Pablo
AU - Peña, Alberto
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/22
Y1 - 2016/12/22
N2 - This paper, after an introduction into relevant vehicle technology aspects focusing on multi-motor powertrains, presents the development of a Torque Vectoring algorithm and its implementation, including race track testing results with a real vehicle equipped with Motors in Wheel. For the simulations, a complex custom high-fidelity multibody model was used, which was parametrized and validated for future developments using the race track testing data. For the development, state of the art model-based design solutions were applied, including code generation, to deploy it on a cutting edge System-on-Chip embedded platform. The results were positive not only regarding the vehicle testing itself, but also for the simulator, the developed controller and the methodology in general. Furthermore, it can be concluded that several of the discussed systems open doors of remarkable interest for future research.
AB - This paper, after an introduction into relevant vehicle technology aspects focusing on multi-motor powertrains, presents the development of a Torque Vectoring algorithm and its implementation, including race track testing results with a real vehicle equipped with Motors in Wheel. For the simulations, a complex custom high-fidelity multibody model was used, which was parametrized and validated for future developments using the race track testing data. For the development, state of the art model-based design solutions were applied, including code generation, to deploy it on a cutting edge System-on-Chip embedded platform. The results were positive not only regarding the vehicle testing itself, but also for the simulator, the developed controller and the methodology in general. Furthermore, it can be concluded that several of the discussed systems open doors of remarkable interest for future research.
UR - http://www.scopus.com/inward/record.url?scp=85010073033&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2016.7795958
DO - 10.1109/ITSC.2016.7795958
M3 - Conference contribution
AN - SCOPUS:85010073033
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 2500
EP - 2505
BT - 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Y2 - 1 November 2016 through 4 November 2016
ER -