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- Publisher Website: 10.1016/j.trb.2019.08.006
- Scopus: eid_2-s2.0-85070668850
- WOS: WOS:000487311300020
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Article: Optimization models for electric vehicle service operations: A literature review
Title | Optimization models for electric vehicle service operations: A literature review |
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Authors | |
Keywords | Electric vehicle Literature review Service operations Optimization models and algorithms |
Issue Date | 2019 |
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 Identifier | http://hdl.handle.net/10722/296196 |
ISSN | 2023 Impact Factor: 5.8 2023 SCImago Journal Rankings: 2.660 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Shen, Zuo Jun Max | - |
dc.contributor.author | Feng, Bo | - |
dc.contributor.author | Mao, Chao | - |
dc.contributor.author | Ran, Lun | - |
dc.date.accessioned | 2021-02-11T04:53:02Z | - |
dc.date.available | 2021-02-11T04:53:02Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Transportation Research Part B: Methodological, 2019, v. 128, p. 462-477 | - |
dc.identifier.issn | 0191-2615 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.relation.ispartof | Transportation Research Part B: Methodological | - |
dc.subject | Electric vehicle | - |
dc.subject | Literature review | - |
dc.subject | Service operations | - |
dc.subject | Optimization models and algorithms | - |
dc.title | Optimization models for electric vehicle service operations: A literature review | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.trb.2019.08.006 | - |
dc.identifier.scopus | eid_2-s2.0-85070668850 | - |
dc.identifier.volume | 128 | - |
dc.identifier.spage | 462 | - |
dc.identifier.epage | 477 | - |
dc.identifier.isi | WOS:000487311300020 | - |
dc.identifier.issnl | 0191-2615 | - |