@inproceedings{b45516d609294b5c93b9523b67986a12,
title = "A novel Torque Vectoring Algorithm with Regenerative Braking Capabilities",
abstract = "Intelligent 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.",
keywords = "Electric vehicle, regenerative braking, torque vectoring, vehicle dynamics",
author = "Alberto Parra and Asier Zubizarreta and Joshue Perez",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 ; Conference date: 14-10-2019 Through 17-10-2019",
year = "2019",
month = oct,
doi = "10.1109/IECON.2019.8926644",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "2592--2597",
booktitle = "Proceedings",
address = "United States",
}
