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Techno-economic analysis for the electric vehicle battery aging management of charge point operator

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dc.contributor.authorPark, Sung-Won-
dc.contributor.authorSon, Sung-Yong-
dc.date.accessioned2023-08-13T02:40:26Z-
dc.date.available2023-08-13T02:40:26Z-
dc.date.created2023-08-13-
dc.date.issued2023-10-
dc.identifier.issn0360-5442-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88741-
dc.description.abstractTemperature is a major factor that affects battery aging. Therefore, charging stations exposed to the external environment and charge point operator (CPO) operation strategy can significantly affect battery aging. In particular, when providing power services that may require a high C-rate, electric vehicle (EV) battery aging can be aggravated in certain environments. Therefore, battery aging management according to the provided power service needs to be dealt with from the perspective of the CPO, which establishes the operation strategy, in addition to the EV. This study focuses on EV battery aging management considering the charging station operating environment from the point of view of a CPO. Battery aging model considers the mutual influence between charging station's ambient temperature, EV cabin temperature, battery temperature, and battery temperature management system (BTMS). Based on this, the CPO establishes an optimal smart charging strategy considering the BTMS operating conditions and the power consumption of EVs working in an independent environment. Based on this, the technical and economic effects of battery aging management according to participation in power services were analyzed. Case study results show that indoor stations can reduce management costs for battery aging by up to 13.31% compared to that in outdoor stations.-
dc.language영어-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.relation.isPartOfENERGY-
dc.titleTechno-economic analysis for the electric vehicle battery aging management of charge point operator-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid001030610700001-
dc.identifier.doi10.1016/j.energy.2023.128095-
dc.identifier.bibliographicCitationENERGY, v.280-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-85163213395-
dc.citation.titleENERGY-
dc.citation.volume280-
dc.contributor.affiliatedAuthorSon, Sung-Yong-
dc.type.docTypeArticle-
dc.subject.keywordAuthorBattery aging-
dc.subject.keywordAuthorBattery temperature-
dc.subject.keywordAuthorCharge point operator-
dc.subject.keywordAuthorSmart charging-
dc.subject.keywordAuthorCharging station temperature-
dc.subject.keywordPlusTHERMAL MANAGEMENT-
dc.subject.keywordPlusION BATTERIES-
dc.subject.keywordPlusDEGRADATION-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusLIFETIME-
dc.subject.keywordPlusV2G-
dc.relation.journalResearchAreaThermodynamics-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryThermodynamics-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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Graduate School (Dept. of Next Generation Smart Energy System Convergence)
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