Fuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehicles

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dc.contributor.authorGómez-Barroso, Álvaro
dc.contributor.authorOtaola, Eneko
dc.contributor.authorOnieva, Enrique
dc.contributor.authorArteta, Beñat
dc.contributor.authorPérez, Joshué
dc.contributor.authorPrieto, Pablo
dc.contributor.institutionPOWERTRAIN
dc.contributor.institutionCCAM
dc.date.accessioned2024-07-24T11:58:29Z
dc.date.available2024-07-24T11:58:29Z
dc.date.issued2023
dc.descriptionPublisher Copyright: © 2023 IEEE.
dc.description.abstractDiminishing the environmental impact of the automotive industry is imperative in light of the pivotal role played by this sector in the surge of Greenhouse Gas emissions during the near past. The implementation of novel alternative power-train architectures merging different energy sources, seems to be a viable approach for decreasing reliance on fossil fuels. A parallel hybrid electric heavy-duty vehicle has been considered for this research, where achieving an optimal real-time torque distribution between both energy sources is crucial to maximize system efficiency. An improvement of the currently defined hybridization control strategy in the LONGRUN framework has been proposed considering the required torque, battery state of charge and throttle rate as input variables of a Fuzzy Logic Controller. Total vehicle fuel consumption along four certified drive cycles has been assessed, effectively revealing the feasibility of implementing the suggested control strategy in order to reduce fuel consumption consequently improving the efficiency of the vehicle under consideration.en
dc.description.statusPeer reviewed
dc.format.extent6
dc.identifier.citationGómez-Barroso , Á , Otaola , E , Onieva , E , Arteta , B , Pérez , J & Prieto , P 2023 , Fuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehicles . in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023 . IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC , Institute of Electrical and Electronics Engineers Inc. , pp. 3686-3691 , 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 , Bilbao , Spain , 24/09/23 . https://doi.org/10.1109/ITSC57777.2023.10422391
dc.identifier.citationconference
dc.identifier.doi10.1109/ITSC57777.2023.10422391
dc.identifier.isbn9798350399462
dc.identifier.issn2153-0009
dc.identifier.urihttps://hdl.handle.net/11556/2843
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85186527455&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
dc.relation.ispartofseriesIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAutomotive Engineering
dc.subject.keywordsMechanical Engineering
dc.subject.keywordsComputer Science Applications
dc.titleFuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehiclesen
dc.typeconference output
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