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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorZsombók, Imre
dc.contributor.authorZöldy, Máté
dc.date.accessioned2026-01-22T12:21:43Z
dc.date.available2026-01-22T12:21:43Z
dc.date.issued2020
dc.identifier.isbn9783030386658en_US
dc.identifier.issn2523-3440en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159781
dc.description.abstractAutonomous vehicles role in the road mobility is increasing day by day. Their propulsion system is not yet decided, our research focuses on plug-in-hybrid vehicles that are merging the most relevant propulsion systems: the electric drivetrain and the internal combustion engine. Mileage and refueling of autonomous vehicles is a rarely investigated area, but it role in a successful implementation of autonomous vehicles is inevitable. In our research, we aiming to set up a model that describes the main influencers on vehicle energy balance and optimize its refueling according to drivers/owners preference. To test and simulate the model and simulation environment is a must. In our work we investigated three commonly used modeling software and according to its capabilities one was chosen for the first tests. In this paper we give a short outlook about the status of the research, the selection process of the simulation software and the first test results about fuel consumption.en_US
dc.description.sponsorshipEuropean Unionen_US
dc.description.sponsorshipHungarian Governmenten_US
dc.format.extent255-262 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/158848en_US
dc.source.urihttps://link.springer.com/chapter/10.1007/978-3-030-38666-5_27en_US
dc.subjectAutonomous vehiclesen_US
dc.subjectPlug-in-Hybrid vehiclesen_US
dc.subjectFuel consumptionen_US
dc.subjectModellingen_US
dc.titleModeling of Hybrid Autonomous Vehicle Fuel Consumptionen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2020-01-20
dcterms.references16en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionBME Technical and Economical University of Budapesten_US
dcterms.sourcetitleProceedings of the International Conference TRANSBALTICA XI: Transportation Science and Technology. May 2–3, 2019, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9783030386665en_US
dc.identifier.eissn2523-3459en_US
dc.publisher.nameSpringeren_US
dc.publisher.countrySwitzerlanden_US
dc.publisher.cityChamen_US
dc.description.fundingorganizationEuropean Social Funden_US
dc.description.grantnameTalent management in autonomous vehicle control technologiesen_US
dc.description.grantnumberEFOP-3.6.2-16-2017-00002en_US
dc.description.grantnumberFOP-3.6.3-VEKOP-16-2017-00001en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-38666-5_27en_US


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