Browsing by Keyword "vehicle dynamics"
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Item Modelling and Validation of Full Vehicle Model based on a Novel Multibody Formulation(IEEE Computer Society, 2019-10) Parra, Alberto; Cagigas, Dionisio; Zubizarreta, Asier; Rodriguez, Antonio Joaquin; Prieto, Pablo; Tecnalia Research & Innovation; POWERTRAINNowadays, 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.Item A novel Torque Vectoring Algorithm with Regenerative Braking Capabilities(IEEE Computer Society, 2019-10) Parra, Alberto; Zubizarreta, Asier; Perez, Joshue; Tecnalia Research & Innovation; CCAMIntelligent Transportation Systems (ITS) is currently one of the most active research areas, being electric vehicles (EVs) and their vehicle dynamics enhancement key topics. For this purpose, the development of optimal Advanced Driver-Assistance Systems (ADAS) and Advanced Vehicle Dynamics Control Systems (AVDC) is required. Conventionally, these systems have been focused on increasing the stability of the vehicle in critical scenarios. However, EVs enable the possibility of including also the efficiency by making use of the regenerative braking as a control variable. In order to be able to design such sophisticated control systems, it is necessary to implement control techniques capable to manage both stability and efficiency. In this sense, intelligent control techniques have demonstrated to be one of the best alternatives. In this work a Torque Vectoring (TV) algorithm based on intelligent control techniques and with regenerative braking capabilities is presented. The presented TV approach has been implemented in a embedded platform and tested in a Hardware in the Loop (HiL) setup. Results show that the presented approach is able to not only enhance the dynamics vehicle behaviour in a challenging emergency manoeuvre, but also to increase its overall efficiency.