RT Conference Proceedings
T1 Modelling and Validation of Full Vehicle Model based on a Novel Multibody Formulation
A1 Parra, Alberto
A1 Cagigas, Dionisio
A1 Zubizarreta, Asier
A1 Rodriguez, Antonio Joaquin
A1 Prieto, Pablo
AB Nowadays, the growing functionalities implemented on vehicles make the simulation phase much more important in the design process. For that purpose, a representative model is required, as it allows to reproduce the exact behaviour of the vehicle, and reduce not only the time required for its setup and testing, but also the cost related to these. Due to this, the development of accurate vehicle models has become one of the main areas of interest for the automotive industry. In this work a 16 DOF (degree of freedom) full vehicle model is presented. This model is based on multibody formulation combined with an appropriate solver for real-time execution. In order to validate this model, data from a real test vehicle has been used, comparing the real dynamic response of the vehicle to the one provided by the developed dynamic model. Results show that the presented approach represents effectively the behaviour of a real vehicle, both in longitudinal and lateral terms.
PB IEEE Computer Society
SN 9781728148786
YR 2019
FD 2019-10
LK https://hdl.handle.net/11556/1607
UL https://hdl.handle.net/11556/1607
LA eng
NO Parra , A , Cagigas , D , Zubizarreta , A , Rodriguez , A J & Prieto , P 2019 , Modelling and Validation of Full Vehicle Model based on a Novel Multibody Formulation . in Proceedings : IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society . , 8926854 , IECON Proceedings (Industrial Electronics Conference) , vol. 2019-October , IEEE Computer Society , pp. 675-680 , 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 , Lisbon , Portugal , 14/10/19 . https://doi.org/10.1109/IECON.2019.8926854
NO conference
NO Publisher Copyright: © 2019 IEEE.
NO ACKNOWLEDGMENT This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 769935. Specially, authors want to thank IDI-ADA for providing the static and dynamic vehicle test data.
DS TECNALIA Publications
RD 29 jul 2024