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A dynamic charging strategy with hybrid fast charging station for electric vehicles

dc.contributor.authorElma, Onur
dc.date.accessioned2026-06-27T14:27:24Z
dc.date.issued2020
dc.description.abstractThe popularity of electric vehicles (EV) have been on the rise with technological advancements and environmental concerns. The charging time and charging demand are important challenges for EV adaptation. In order to address these challenges, a DC fast charging technology with a dynamic energy management system is proposed in this study. However, DC fast chargers require high power demand periods to reduce the charging time. This, in turn, will cause negative effects on the grid such as stability, resilience, and efficiency problems. The purpose of the study is to evaluate a hybrid DC fast charging station with the aim of reducing peak demand during charging periods. The proposed energy management algorithm together with the dynamic data use provides more reliable results on such systems operations. With the proposed control algorithm, both peak demand from the grid is substantially reduced by 45% and the battery life span is extended thanks to more controlled charge/discharge coordination. (C) 2020 Elsevier Ltd. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.energy.2020.117680
dc.identifier.doi10.1016/j.energy.2020.117680
dc.identifier.eissn1873-6785
dc.identifier.issn0360-5442
dc.identifier.urihttps://hdl.handle.net/20.500.14981/60826
dc.identifier.volume202
dc.identifier.wos000538592700025
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofENERGY
dc.subjectElectric vehicle
dc.subjectFast charging station
dc.subjectDemand response
dc.subjectHybrid energy resources
dc.subjectDynamic energy management
dc.subjectENERGY MANAGEMENT-SYSTEM
dc.subjectOPTIMAL OPERATION
dc.subjectDEMAND
dc.subjectV2G
dc.subjectThermodynamics
dc.subjectEnergy & Fuels
dc.titleA dynamic charging strategy with hybrid fast charging station for electric vehicles
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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