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- Publisher Website: 10.1016/j.trc.2019.03.013
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Article: Designing locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach
Title | Designing locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach |
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Authors | |
Keywords | Electric vehicles Long-distance travel Charging stations Neighborhood search heuristic Infrastructure planning |
Issue Date | 2019 |
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 Identifier | http://hdl.handle.net/10722/296188 |
ISSN | 2023 Impact Factor: 7.6 2023 SCImago Journal Rankings: 2.860 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, Chengzhang | - |
dc.contributor.author | He, Fang | - |
dc.contributor.author | Lin, Xi | - |
dc.contributor.author | Shen, Zuo Jun Max | - |
dc.contributor.author | Li, Meng | - |
dc.date.accessioned | 2021-02-11T04:53:01Z | - |
dc.date.available | 2021-02-11T04:53:01Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Transportation Research Part C: Emerging Technologies, 2019, v. 102, p. 210-232 | - |
dc.identifier.issn | 0968-090X | - |
dc.identifier.uri | http://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.language | eng | - |
dc.relation.ispartof | Transportation Research Part C: Emerging Technologies | - |
dc.subject | Electric vehicles | - |
dc.subject | Long-distance travel | - |
dc.subject | Charging stations | - |
dc.subject | Neighborhood search heuristic | - |
dc.subject | Infrastructure planning | - |
dc.title | Designing locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.trc.2019.03.013 | - |
dc.identifier.scopus | eid_2-s2.0-85063095053 | - |
dc.identifier.volume | 102 | - |
dc.identifier.spage | 210 | - |
dc.identifier.epage | 232 | - |
dc.identifier.isi | WOS:000467516700013 | - |
dc.identifier.issnl | 0968-090X | - |