Drive Mode Estimation for Electric Vehicles via Fuzzy Logic

dc.authoridCEVEN, SULEYMAN/0000-0002-8970-4826
dc.contributor.authorDuran, Fecir
dc.contributor.authorCeven, Suleyman
dc.contributor.authorBayir, Raif
dc.date.accessioned2024-09-29T16:11:36Z
dc.date.available2024-09-29T16:11:36Z
dc.date.issued2018
dc.departmentKarabük Üniversitesien_US
dc.description22nd International Conference Electronics -- JUN 18-20, 2018 -- Kaunas Univ Technol, Palanga, LITHUANIAen_US
dc.description.abstractElectric vehicles are widely used today. The biggest problem of electric vehicles are limited energy and limited range. Using energy efficiently is an important issue. In this study, we monitored an electric vehicle's systems and power consuming systems in real time. We predicted the optimal driving mode with electronic control unit using Fuzzy Logic Control. We tested system on electric golf car real time. The measurement parameters are transferred to Vehicle Control Unit via Controller Area Network. The driver can choose driving mode as economical driving, normal driving and sporty driving. Experimental results indicate that our Electronic Control Unit increases the driving range of the electric vehicle.en_US
dc.description.sponsorshipKaunas Univ Technol, Dept Elect Engn,IEEE Lithuania Secten_US
dc.description.sponsorshipKarabuk University [KBU-BAP-16/1-YL-098]en_US
dc.description.sponsorshipThis study was supported by Karabuk University within the scope of Scientific Research Projects with KBU-BAP-16/1-YL-098 code.en_US
dc.identifier.isbn978-1-5386-4749-3
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8562
dc.identifier.wosWOS:000482402600009en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 22nd International Conference Electronicsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectElectric vehiclesen_US
dc.subjectcondition monitoringen_US
dc.subjectreal time monitoringen_US
dc.subjectfuzzy logicen_US
dc.subjectdrive mode estimationen_US
dc.subjectvehicle control uniten_US
dc.titleDrive Mode Estimation for Electric Vehicles via Fuzzy Logicen_US
dc.typeConference Objecten_US

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