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dc.contributor.authorTanç, Bahattin
dc.date.accessioned2025-01-20T10:50:54Z
dc.date.available2025-01-20T10:50:54Z
dc.date.issued2024en_US
dc.identifier.citationTanç, B. (2024). Simulational energy analyses of different transmission (automated manuel transmission vs continuously variable transmission) selection effects on fuel cell hybrid electric vehicles’ energetic performance. International Journal of Hydrogen Energy, 75, pp. 506-514. https://doi.org/10.1016/j.ijhydene.2024.02.360en_US
dc.identifier.issn0360-3199
dc.identifier.issn1879-3487
dc.identifier.urihttps://doi.org/10.1016/j.ijhydene.2024.02.360
dc.identifier.urihttps://hdl.handle.net/20.500.12508/3183
dc.description.abstractIn recent years, the adoption of alternative fuels and hybrid vehicles has necessitated radical changes to meet the energy needs of the automotive sector. Hybrid electric vehicles are used as a perfect step between traditional fossil fueled internal combustion engines and fully electric vehicles. Deeply related to this, complicated industry and manufacturers need simulation programs to reduce both the cost of test sets and to use time with the highest efficiency. Before the production, especially in automotive sector, the simulation and prototyping procedure is playing an indispensable role. For this study, the AVL-Cruise simulation tool was chosen. Due to its capability to keep up with evolving technological structures, this program can be easily implemented in hybrid vehicle simulations. In this study, a hybrid engine model was created based on a 1.5 L, four -cylinder gasoline engine and a 10 kW electric motor. Energy analysis, based on the variations in the CVT and AMT transmissions of a hybrid motor, was conducted under three different driving cycles and compared in detail. Additionally, energetic balance like exergy is executed for this model. Sankey diagrams were employed to illustrate the differences and energy consumptions of the vehicle based on the selected modeling criteria. As a result, the CVT is slightly better behaviors than AMT both fuel consumption (2.5 - 4%), emission reducing (1.5 - 4.6%) and energetic balances (3.6 - 5%).en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.ijhydene.2024.02.360en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAVL-Cruiseen_US
dc.subjectDriving cycleen_US
dc.subjectEnergy analysesen_US
dc.subjectHybrid vehiclesen_US
dc.subjectTransmission ratioen_US
dc.subject.classificationHybrid Electric Vehicle
dc.subject.classificationFuel Economy
dc.subject.classificationEnergy Management
dc.subject.classificationChemistry, Physical
dc.subject.classificationElectrochemistry
dc.subject.classificationEnergy & Fuels
dc.subject.classificationElectrical Engineering, Electronics & Computer Science - Power Systems & Electric Vehicles - Electric Vehicles
dc.subject.otherEnergy management
dc.subject.otherFuel cells
dc.subject.otherHybrid vehicles
dc.subject.otherPowertrains
dc.subject.otherVariable speed transmissions
dc.subject.otherVehicle performance
dc.subject.otherAutomotive sector
dc.subject.otherAVL-cruise
dc.subject.otherContinuously variable transmission
dc.subject.otherDriving cycle
dc.subject.otherEnergetic balance
dc.subject.otherEnergy analysis
dc.subject.otherEnergy needs
dc.subject.otherFuel cell hybrid electric vehicles
dc.subject.otherPerformance
dc.subject.otherTransmission-ratio
dc.subject.otherVehicle transmissions
dc.titleSimulational energy analyses of different transmission (automated manuel transmission vs continuously variable transmission) selection effects on fuel cell hybrid electric vehicles’ energetic performanceen_US
dc.typearticleen_US
dc.relation.journalInternational Journal of Hydrogen Energyen_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- Makina Mühendisliği Bölümüen_US
dc.identifier.volume75en_US
dc.identifier.startpage506en_US
dc.identifier.endpage514en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorTanç, Bahattin
dc.relation.indexWeb of Science - Scopusen_US
dc.relation.indexWeb of Science Core Collection - Science Citation Index Expanded


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