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dc.contributor.authorWang, Yongxing
dc.contributor.authorBi, Jun
dc.contributor.authorGuan, Wei
dc.contributor.authorLu, Chaoru
dc.contributor.authorXie, Dongfan
dc.date.accessioned2022-03-14T14:33:10Z
dc.date.available2022-03-14T14:33:10Z
dc.date.created2021-05-20T14:31:42Z
dc.date.issued2021
dc.identifier.citationTransportation Research Part D: Transport and Environment. 2021, 96 (102870).en_US
dc.identifier.issn1361-9209
dc.identifier.urihttps://hdl.handle.net/11250/2985108
dc.description.abstractABSTRACT Limited driving range, long charging time and high charging costs affect the use of battery electric vehicles (BEVs) for intercity travels and often compel drivers to charge their vehicles more than once. This study proposes a mu ltistage optimisation model to provide BEV drivers with a charging strategy for intercity travel. This model aims to jointly minimise travel time and charging cost and to determine the optimal amount of charged energy in each charging station located along the available routes. A dynamic programming method for solving this model is also designed. The feasibility and effectiveness of the proposed model and solution method are verified through the numerical example and simulations. The results indicate that the trade-offs between travel time and charging cost significantly influence the proposed solution, and the residual energy at the destination affects the availability of routes. The policy implications for the BEV-based intercity travels are discussed.en_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectBattery electric vehiclesen_US
dc.subjectCharging behaviouren_US
dc.subjectMulticriteria charging strategyen_US
dc.subjectDynamic programmingen_US
dc.titleOptimal charging strategy for intercity travels of battery electric vehiclesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.articlenumber102870en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.doi10.1016/j.trd.2021.102870
dc.identifier.cristin1911097
dc.source.journalTransportation Research Part D: Transport and Environmenten_US
dc.source.volume96en_US
dc.source.pagenumber18en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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