Evaluatıon of Dıfferent Electric Battery Technology for The Electric Vehicle Industry Using Forecasting Methods

dc.contributor.authorKöten, Hasan
dc.date.accessioned2025-05-10T15:21:38Z
dc.date.issued2023
dc.departmentİstanbul Medeniyet Üniversitesi
dc.descriptionSriwijaya International Conference on Engineering and Technology 2021, SICETO 2021 -- 25 October 2021 through 26 October 2021 -- Hybrid, Palembang -- 190895
dc.description.abstractTechnology forecasting is a valuable tool for the technology level analyzing and it shows the technological effects for the long term on the new products. Quantitative and qualitative methods are the two main parts of technology forecasting, but they are further divided into several subgroups. This study aims to get the forecasting of electric vehicle batteries technology that would help the automotive industry. They can estimate the future of the electric vehicle batteries technology that they are planning to design on their vehicles and govern their resources and investments properly. In this research, technology forecasting methods are explained and compared, and new electric source technologies for the automotive industry are analyzed. Different types of electric batteries in the automotive industry are analyzed using forecasting methods. In the forecasting methods, patent analysis is used, and the forecasts are performed using the pearl curve. Lastly, a technology substitution model created from the patent analysis is employed and discussed. © 2023 American Institute of Physics Inc.. All rights reserved.
dc.description.sponsorshipBrunel University
dc.identifier.doi10.1063/5.0114117
dc.identifier.issn0094-243X
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85176749041
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://doi.org/10.1063/5.0114117
dc.identifier.urihttps://hdl.handle.net/20.500.14730/6095
dc.identifier.volume2689
dc.indekslendigikaynakScopus
dc.institutionauthorKoten, Hasan
dc.language.isoen
dc.publisherAmerican Institute of Physics Inc.
dc.relation.ispartofAIP Conference Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250302
dc.subjectElectric Battery; Electric Car; Energy Density; Technological Forecasting
dc.titleEvaluatıon of Dıfferent Electric Battery Technology for The Electric Vehicle Industry Using Forecasting Methods
dc.typeConference Object

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