Optimum torque distribution during regenerative braking in a fully electrical vehicle via dynamic programming

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dc.authorid0009-0002-0060-531X
dc.authorid0000-0002-3234-281X
dc.authorid0000-0003-0792-249X
dc.contributor.authorErgün, Ömeren_US
dc.contributor.authorÇaycı, N. Okanen_US
dc.contributor.authorDinçmen, Erkinen_US
dc.contributor.authorİstif, İlyasen_US
dc.date.accessioned2023-12-15T16:33:18Z
dc.date.available2023-12-15T16:33:18Z
dc.date.issued2023-10-28
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Mechanical Engineeringen_US
dc.descriptionACKNOWLEDGMENT The authors gratefully acknowledge support of the Turkish National Research Council (TUBITAK) under grant no: 122M994.en_US
dc.description.abstractIn electric vehicles, it is important to maximize their regenerative braking performances for obtaining longer driving distances. In this study, for an electric vehicle having motors on the front and rear axles, an optimum torque distribution algorithm based on dynamic programming method is proposed for maximizing the regenerative braking energy. Electric motor limits, efficiency maps, battery model and braking force constraints given in the European regulations are considered in the proposed algorithm. The dynamic programming algorithm code and simulation studies for different braking scenarios are carried out via MATLAB. Simulation studies show that via the proposed torque distribution algorithm, significant improvements in the regenerated braking energy are obtained with respect to the fixed-rate torque distribution algorithm.en_US
dc.description.sponsorshipTurkish National Research Councilen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationErgün, Ö., Çaycı, N. O., Dinçmen, E. & İstif, İ. (2023). Optimum torque distribution during regenerative braking in a fully electrical vehicle via dynamic programming. Paper presented at the 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 1-6. doi:10.1109/ISMSIT58785.2023.10304931en_US
dc.identifier.doi10.1109/ISMSIT58785.2023.10304931
dc.identifier.endpage6
dc.identifier.isbn9798350342154
dc.identifier.isbn9798350342161
dc.identifier.issn2770-7962
dc.identifier.issn2770-7954
dc.identifier.scopus2-s2.0-85179137855
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/5819
dc.identifier.urihttp://dx.doi.org/10.1109/ISMSIT58785.2023.10304931
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDinçmen, Erkinen_US
dc.institutionauthorid0000-0002-3234-281X
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDynamic programmingen_US
dc.subjectEnergy efficiencyen_US
dc.subjectFully electric vehicleen_US
dc.subjectRegenerative brakingen_US
dc.subjectTorque distributionen_US
dc.subjectElectric vehiclesen_US
dc.subjectMATLABen_US
dc.subjectSecondary batteriesen_US
dc.subjectTorqueen_US
dc.subjectTraction motorsen_US
dc.subjectDistribution algorithmsen_US
dc.subjectDriving distanceen_US
dc.subjectDynamic programming methodsen_US
dc.subjectEfficiency mapsen_US
dc.subjectElectrical vehiclesen_US
dc.subjectON dynamicsen_US
dc.subjectRegenerative braking energiesen_US
dc.subjectSimulation studiesen_US
dc.titleOptimum torque distribution during regenerative braking in a fully electrical vehicle via dynamic programmingen_US
dc.typeConference Objecten_US

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