Electric vehicles: A review of network modelling and future research needs
Electric vehicles are believed to be an effective solution for reducing greenhouse gas emissions. Despite extensive study on the attributes and characteristics of electric vehicles and their charging infrastructure design, the development and network modelling of electric vehicles are still evolving...
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2016-01-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814015627981 |
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doaj-e1831720759249799336bf1f4c59329b2020-11-25T02:58:17ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-01-01810.1177/168781401562798110.1177_1687814015627981Electric vehicles: A review of network modelling and future research needsWentao Jing0Yadan Yan1Inhi Kim2Majid Sarvi3Institute of Transport Studies, Department of Civil Engineering, Monash University, Clayton, VIC, AustraliaSchool of Civil Engineering, Zhengzhou University, Zhengzhou, ChinaInstitute of Transport Studies, Department of Civil Engineering, Monash University, Clayton, VIC, AustraliaInstitute of Transport Studies, Department of Civil Engineering, Monash University, Clayton, VIC, AustraliaElectric vehicles are believed to be an effective solution for reducing greenhouse gas emissions. Despite extensive study on the attributes and characteristics of electric vehicles and their charging infrastructure design, the development and network modelling of electric vehicles are still evolving and limited. This article provides a comprehensive review of electric vehicle studies and identifies existing research gaps in the aspects of theories, modelling approaches, solution algorithms and applications. This article first describes the electric vehicles’ concepts, market share, characteristics and charging infrastructures. Then, the studies on traffic assignment problem with electric vehicles in the network and limited charging facilities are particularly discussed. We conclude that it is of great importance to take into account electric vehicles’ special characteristics (e.g. range limit) in predicting their routing behaviour and charging infrastructure design networks.https://doi.org/10.1177/1687814015627981 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wentao Jing Yadan Yan Inhi Kim Majid Sarvi |
spellingShingle |
Wentao Jing Yadan Yan Inhi Kim Majid Sarvi Electric vehicles: A review of network modelling and future research needs Advances in Mechanical Engineering |
author_facet |
Wentao Jing Yadan Yan Inhi Kim Majid Sarvi |
author_sort |
Wentao Jing |
title |
Electric vehicles: A review of network modelling and future research needs |
title_short |
Electric vehicles: A review of network modelling and future research needs |
title_full |
Electric vehicles: A review of network modelling and future research needs |
title_fullStr |
Electric vehicles: A review of network modelling and future research needs |
title_full_unstemmed |
Electric vehicles: A review of network modelling and future research needs |
title_sort |
electric vehicles: a review of network modelling and future research needs |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2016-01-01 |
description |
Electric vehicles are believed to be an effective solution for reducing greenhouse gas emissions. Despite extensive study on the attributes and characteristics of electric vehicles and their charging infrastructure design, the development and network modelling of electric vehicles are still evolving and limited. This article provides a comprehensive review of electric vehicle studies and identifies existing research gaps in the aspects of theories, modelling approaches, solution algorithms and applications. This article first describes the electric vehicles’ concepts, market share, characteristics and charging infrastructures. Then, the studies on traffic assignment problem with electric vehicles in the network and limited charging facilities are particularly discussed. We conclude that it is of great importance to take into account electric vehicles’ special characteristics (e.g. range limit) in predicting their routing behaviour and charging infrastructure design networks. |
url |
https://doi.org/10.1177/1687814015627981 |
work_keys_str_mv |
AT wentaojing electricvehiclesareviewofnetworkmodellingandfutureresearchneeds AT yadanyan electricvehiclesareviewofnetworkmodellingandfutureresearchneeds AT inhikim electricvehiclesareviewofnetworkmodellingandfutureresearchneeds AT majidsarvi electricvehiclesareviewofnetworkmodellingandfutureresearchneeds |
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1724707352175706112 |