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Article: Optimization models for electric vehicle service operations: A literature review

TitleOptimization models for electric vehicle service operations: A literature review
Authors
KeywordsElectric vehicle
Literature review
Service operations
Optimization models and algorithms
Issue Date2019
Citation
Transportation Research Part B: Methodological, 2019, v. 128, p. 462-477 How to Cite?
Abstract© 2019 Electric vehicles (EVs) are widely considered to be a solution to the problems of increasing carbon emissions and dependence on fossil fuels. However, the adoption of EVs remains sluggish due to range anxiety, long charging times, and inconvenient and insufficient charging infrastructure. Various problems with EV service operations should be addressed to overcome these challenges. This study reviews the state-of-the-art mathematical modeling-based literature on EV operations management. The literature is classified according to recurring themes, such as EV charging infrastructure planning, EV charging operations, and public policy and business models. In each theme, typical optimization models and algorithms proposed in previous studies are surveyed. The review concludes with a discussion of several possible questions for future research on EV service operations management.
Persistent Identifierhttp://hdl.handle.net/10722/296196
ISSN
2021 Impact Factor: 7.632
2020 SCImago Journal Rankings: 3.150
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShen, Zuo Jun Max-
dc.contributor.authorFeng, Bo-
dc.contributor.authorMao, Chao-
dc.contributor.authorRan, Lun-
dc.date.accessioned2021-02-11T04:53:02Z-
dc.date.available2021-02-11T04:53:02Z-
dc.date.issued2019-
dc.identifier.citationTransportation Research Part B: Methodological, 2019, v. 128, p. 462-477-
dc.identifier.issn0191-2615-
dc.identifier.urihttp://hdl.handle.net/10722/296196-
dc.description.abstract© 2019 Electric vehicles (EVs) are widely considered to be a solution to the problems of increasing carbon emissions and dependence on fossil fuels. However, the adoption of EVs remains sluggish due to range anxiety, long charging times, and inconvenient and insufficient charging infrastructure. Various problems with EV service operations should be addressed to overcome these challenges. This study reviews the state-of-the-art mathematical modeling-based literature on EV operations management. The literature is classified according to recurring themes, such as EV charging infrastructure planning, EV charging operations, and public policy and business models. In each theme, typical optimization models and algorithms proposed in previous studies are surveyed. The review concludes with a discussion of several possible questions for future research on EV service operations management.-
dc.languageeng-
dc.relation.ispartofTransportation Research Part B: Methodological-
dc.subjectElectric vehicle-
dc.subjectLiterature review-
dc.subjectService operations-
dc.subjectOptimization models and algorithms-
dc.titleOptimization models for electric vehicle service operations: A literature review-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.trb.2019.08.006-
dc.identifier.scopuseid_2-s2.0-85070668850-
dc.identifier.volume128-
dc.identifier.spage462-
dc.identifier.epage477-
dc.identifier.isiWOS:000487311300020-
dc.identifier.issnl0191-2615-

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