Impact of Outside Temperature on Driving Range and Energy Consumption Using Real-Time Big Data for Electric Buses

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dc.contributor.authorEkici, Yunus Emre
dc.contributor.authorKaradag, Teoman
dc.contributor.authorAydin, Ahmet Arif
dc.contributor.authorAkdag, Ozan
dc.date.accessioned2026-06-19T06:31:56Z
dc.date.available2026-06-19T06:31:56Z
dc.date.issued2024
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 -- 21 September 2024 through 22 September 2024 -- Malatya -- 203423
dc.description.abstractCalculating the energy consumption of electric vehicles (EVs) is crucial to optimize efficiency and driving range, taking into account the outdoor temperature. Research shows that low temperatures significantly increase motor and battery energy consumption while inhibiting regenerative energy recovery, with optimum efficiency achieved at around 20-30 degrees Celsius. Furthermore, the use of heating and cooling systems in different seasons also affects the overall efficiency by affecting battery energy consumption. Therefore, outdoor temperature and driving conditions must be taken into account to accurately assess and optimize the energy consumption of EVs. In this study, the effects of outdoor temperature on range and energy consumption are analyzed using real-time big data from Electric Buses (EB). The field application of the study is based on the EB route currently in operation in Malatya. The EB route is divided into 4 different regions and the energy consumption and the corresponding outdoor temperature for each region are analyzed using regression analysis techniques. As a result of the calculations, it was calculated that the most efficient consumption for the entire EB route is 3,02 kWh / km and this consumption value can be achieved with a temperature of 21,5° C. © 2024 IEEE.
dc.identifier.doi10.1109/IDAP64064.2024.10710801
dc.identifier.isbn979-833153149-2
dc.identifier.scopus2-s2.0-85207883044
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP64064.2024.10710801
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4879
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260612
dc.subjectBig Data
dc.subjectElectric Bus
dc.subjectElectric Vehicles
dc.subjectRegression
dc.titleImpact of Outside Temperature on Driving Range and Energy Consumption Using Real-Time Big Data for Electric Buses
dc.typeConference Object

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