A novel Torque Vectoring Algorithm with Regenerative Braking Capabilities

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dc.contributor.authorParra, Alberto
dc.contributor.authorZubizarreta, Asier
dc.contributor.authorPerez, Joshue
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionCCAM
dc.date.accessioned2024-07-24T11:55:57Z
dc.date.available2024-07-24T11:55:57Z
dc.date.issued2019-10
dc.descriptionPublisher Copyright: © 2019 IEEE.
dc.description.abstractIntelligent 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.en
dc.description.sponsorshipAuthors wants to thank to the ECSEL HIPERFORM Project (with grant number 783174) and to the H2020 ACHILES Project (with grant number 824311) for their support in the development of this work.
dc.description.statusPeer reviewed
dc.format.extent6
dc.identifier.citationParra , A , Zubizarreta , A & Perez , J 2019 , A novel Torque Vectoring Algorithm with Regenerative Braking Capabilities . in Proceedings : IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society . , 8926644 , IECON Proceedings (Industrial Electronics Conference) , vol. 2019-October , IEEE Computer Society , pp. 2592-2597 , 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 , Lisbon , Portugal , 14/10/19 . https://doi.org/10.1109/IECON.2019.8926644
dc.identifier.citationconference
dc.identifier.doi10.1109/IECON.2019.8926644
dc.identifier.isbn9781728148786
dc.identifier.urihttps://hdl.handle.net/11556/2571
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85084109091&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartofProceedings
dc.relation.ispartofseriesIECON Proceedings (Industrial Electronics Conference)
dc.relation.projectIDHorizon 2020 Framework Programme, H2020, 824311
dc.relation.projectIDElectronic Components and Systems for European Leadership, ECSEL, 783174
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsElectric vehicle
dc.subject.keywordsregenerative braking
dc.subject.keywordstorque vectoring
dc.subject.keywordsvehicle dynamics
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsSDG 11 - Sustainable Cities and Communities
dc.titleA novel Torque Vectoring Algorithm with Regenerative Braking Capabilitiesen
dc.typeconference output
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