DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorXu, Men_US
dc.creatorWu, Ten_US
dc.creatorTan, Zen_US
dc.date.accessioned2021-07-09T02:26:40Z-
dc.date.available2021-07-09T02:26:40Z-
dc.identifier.issn0968-090Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/90435-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectBattery wear costen_US
dc.subjectElectric vehicle fleet sizeen_US
dc.subjectModel linearizationen_US
dc.subjectOn-demand charging strategyen_US
dc.titleElectric vehicle fleet size for carsharing services considering on-demand charging strategy and battery degradationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume127en_US
dc.identifier.doi10.1016/j.trc.2021.103146en_US
dcterms.abstractThis study addresses the tactical electric vehicle fleet size (EVFS) problem faced by carsharing service (CSS) providers while considering the operational vehicle assignment, vehicle relocation, and vehicle charging strategies (i.e., the charging duration at each station) in pursuit of profit maximization. To alleviate battery degradation and achieve cost-saving in the long term, we propose the on-demand charging strategy to determine fleet size. The novelty of this study lies in the incorporation of nonlinear battery wear cost incurred during the battery charging and discharging processes. A mixed-integer nonlinear programming (MINLP) model with concave and convex terms in the objective function is first developed for the EVFS problem. Piecewise linear approximation approach and outer-approximation method are employed to linearize the proposed model. Numerical experiments based on EVCARD, a one-way electric carsharing operator in China, are conducted to demonstrate the efficiency of the proposed model and solution method, as well as the necessity of incorporating the battery degradation into the fleet size determination of CSSs. The impacts of several key parameters, i.e., the daily fixed cost of EV and battery price, battery cycle efficiency, service charge, and relocation cost on the performance of one-way electric CSSs are also analyzed.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part C, Emerging technologies, June 2021, v. 127, 103146en_US
dcterms.isPartOfTransportation research. Part C, Emerging technologiesen_US
dcterms.issued2021-06-
dc.identifier.scopus2-s2.0-85104346493-
dc.identifier.artn103146en_US
dc.description.validate202107 bcvcen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera0958-n02-
dc.identifier.SubFormID2206-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRGC: 25207319en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2023.06.30en_US
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