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Article: Designing locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach

TitleDesigning locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach
Authors
KeywordsElectric vehicles
Long-distance travel
Charging stations
Neighborhood search heuristic
Infrastructure planning
Issue Date2019
Citation
Transportation Research Part C: Emerging Technologies, 2019, v. 102, p. 210-232 How to Cite?
Abstract© 2019 Elsevier Ltd This study is devoted to designing locations and capacities of charging stations for supporting long-distance travel by electric vehicles (EVs). We first establish an expanded network structure to model the set of valid charging strategies for EV drivers, and then a variational inequality (VI) is formulated to capture the equilibrated route-choice and charging behaviors of EVs by incorporating an approximated queuing time function for a capacitated charging facility. Next, we formulate the problem of designing the locations and capacities of charging facilities under a fixed budget constraint and solve the optimization problem with a customized neighborhood search strategy. A lower bound for the system cost is also developed to evaluate the qualities of solutions acquired using our proposed heuristic. Numerical examples with a toy network and a highway network extracted from the Yangtze River Delta are used to show the effectiveness of the proposed methodology, and we observe that our strategy can solve a large-scale problem within an optimality gap of less than 5%.
Persistent Identifierhttp://hdl.handle.net/10722/296188
ISSN
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 2.860
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Chengzhang-
dc.contributor.authorHe, Fang-
dc.contributor.authorLin, Xi-
dc.contributor.authorShen, Zuo Jun Max-
dc.contributor.authorLi, Meng-
dc.date.accessioned2021-02-11T04:53:01Z-
dc.date.available2021-02-11T04:53:01Z-
dc.date.issued2019-
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2019, v. 102, p. 210-232-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10722/296188-
dc.description.abstract© 2019 Elsevier Ltd This study is devoted to designing locations and capacities of charging stations for supporting long-distance travel by electric vehicles (EVs). We first establish an expanded network structure to model the set of valid charging strategies for EV drivers, and then a variational inequality (VI) is formulated to capture the equilibrated route-choice and charging behaviors of EVs by incorporating an approximated queuing time function for a capacitated charging facility. Next, we formulate the problem of designing the locations and capacities of charging facilities under a fixed budget constraint and solve the optimization problem with a customized neighborhood search strategy. A lower bound for the system cost is also developed to evaluate the qualities of solutions acquired using our proposed heuristic. Numerical examples with a toy network and a highway network extracted from the Yangtze River Delta are used to show the effectiveness of the proposed methodology, and we observe that our strategy can solve a large-scale problem within an optimality gap of less than 5%.-
dc.languageeng-
dc.relation.ispartofTransportation Research Part C: Emerging Technologies-
dc.subjectElectric vehicles-
dc.subjectLong-distance travel-
dc.subjectCharging stations-
dc.subjectNeighborhood search heuristic-
dc.subjectInfrastructure planning-
dc.titleDesigning locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.trc.2019.03.013-
dc.identifier.scopuseid_2-s2.0-85063095053-
dc.identifier.volume102-
dc.identifier.spage210-
dc.identifier.epage232-
dc.identifier.isiWOS:000467516700013-
dc.identifier.issnl0968-090X-

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