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Optimum Torque Distribution During Regenerative Braking in a Fully Electrical Vehicle via Dynamic Programming

dc.contributor.authorErgun O.
dc.contributor.authorCayci N.O.
dc.contributor.authorDincmen E.
dc.contributor.authorIstif I.
dc.date.accessioned2024-03-12T19:35:26Z
dc.date.available2024-03-12T19:35:26Z
dc.date.issued2023
dc.identifier.isbn9798350342154
dc.identifier.urihttps://doi.org/10.1109/ISMSIT58785.2023.10304931
dc.identifier.urihttps://hdl.handle.net/20.500.12450/2911
dc.description7th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2023 -- 26 October 2023 through 28 October 2023 -- -- 194332en_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. © 2023 IEEE.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 122M994en_US
dc.description.sponsorshipACKNOWLEDGMENT The authors gratefully acknowledge support of the Turkish National Research Council (TUBITAK) under grant no: 122M994.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof7th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2023 - Proceedingsen_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.subjectEnergy efficiencyen_US
dc.subjectMATLABen_US
dc.subjectRegenerative brakingen_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.subjectFully electric vehicleen_US
dc.subjectON dynamicsen_US
dc.subjectRegenerative braking energiesen_US
dc.subjectSimulation studiesen_US
dc.subjectTorque distributionen_US
dc.subjectDynamic programmingen_US
dc.titleOptimum Torque Distribution During Regenerative Braking in a Fully Electrical Vehicle via Dynamic Programmingen_US
dc.typeconferenceObjecten_US
dc.departmentAmasya Üniversitesien_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85179137855en_US
dc.identifier.doi10.1109/ISMSIT58785.2023.10304931
dc.department-tempErgun, O., Yildiz Technical University, Department of Mechanical Engineering, Istanbul, Turkey; Cayci, N.O., Vocational School, Amasya University, Amasya, Turkey; Dincmen, E., Isik University, Department of Mechanical Engineering, Istanbul, Turkey; Istif, I., Yildiz Technical University, Department of Mechanical Engineering, Istanbul, Turkeyen_US
dc.authorscopusid58753685800
dc.authorscopusid58753545900
dc.authorscopusid24450090100
dc.authorscopusid12761236400


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