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A systematic review of charging infrastructure location problem for electric vehicles

Author

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  • Ramesh Chandra Majhi
  • Prakash Ranjitkar
  • Mingyue Sheng
  • Grant A. Covic
  • Doug James Wilson

Abstract

With the evolving demand for sustainable mobility, adequate charging infrastructure for electric vehicles (EVs) has been growing steadily and wireless power transfer (WPT) technology has been seen as an efficient alternative for EV charging while maintaining seamless traffic flow. This paper reviews the modelling challenges in terms of both static (plug-in) charging (SC) and wireless charging (WC) facilities in a transportation network in terms of system integration, focusing on the evolution of the WPT technology. The first part of the paper provides an overview of all the major progress and achievements made by different research organisations in the area of WPT technology for EV charging. These technologies are ranked based on two indices, namely technological readiness level and system readiness level. The optimal location of WC facilities comes with more design and operational issues than conventional static charging facilities. However, they are similar in terms of the infrastructure modelling approach to locate these charging facilities, as the overall goal is to maximise the network flow and minimise the overall system cost. The second part of the paper assesses different modelling approaches used to analyse the network and locate the charging infrastructure for static and WC facilities. The economic feasibility of the technology is an important consideration for successful system integration as well as the overall performance of the system. As such, this paper also provides a synopsis of different socio-economic studies related to the WC infrastructure allocation problem. Finally, future research directions in this field are discussed based on the knowledge gaps identified from the existing literature.

Suggested Citation

  • Ramesh Chandra Majhi & Prakash Ranjitkar & Mingyue Sheng & Grant A. Covic & Doug James Wilson, 2021. "A systematic review of charging infrastructure location problem for electric vehicles," Transport Reviews, Taylor & Francis Journals, vol. 41(4), pages 432-455, July.
    • Handle: RePEc:taf:transr:v:41:y:2021:i:4:p:432-455
    DOI: 10.1080/01441647.2020.1854365
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    Citations

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    Cited by:

    1. Emad Alzubi & Bernd Noche, 2022. "A Multi-Objective Model to Find the Sustainable Location for Citrus Hub," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    2. Yang, Xiong & Peng, Zhenhan & Wang, Pinxi & Zhuge, Chengxiang, 2023. "Seasonal variance in electric vehicle charging demand and its impacts on infrastructure deployment: A big data approach," Energy, Elsevier, vol. 280(C).
    3. Arzu Muyesseroglu & Irem Duzdar Argun & Gulgun Kayakutlu, 2023. "Electric vehicle charge station layout planning: A case study in Istanbul Technical University campus," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1767-1778, April.
    4. Wei Dai & Zhihong Zeng & Cheng Wang & Zhijie Zhang & Yang Gao & Jun Xu, 2024. "Non-Iterative Coordinated Optimisation of Power–Traffic Networks Based on Equivalent Projection," Energies, MDPI, vol. 17(8), pages 1-21, April.
    5. Dukkanci, Okan & Campbell, James F. & Kara, Bahar Y., 2024. "Facility location decisions for drone delivery: A literature review," European Journal of Operational Research, Elsevier, vol. 316(2), pages 397-418.
    6. Justine Broihan & Inka Nozinski & Niklas Pöch & Stefan Helber, 2022. "Designing Dynamic Inductive Charging Infrastructures for Airport Aprons with Multiple Vehicle Types," Energies, MDPI, vol. 15(11), pages 1-24, June.
    7. Niklas Pöch & Inka Nozinski & Justine Broihan & Stefan Helber, 2022. "Numerical Study on Planning Inductive Charging Infrastructures for Electric Service Vehicles on Airport Aprons," Energies, MDPI, vol. 15(18), pages 1-25, September.
    8. Fu, Jiali & Nåbo, Arne & Bhatti, Harrison John, 2024. "Locating charging infrastructure for freight transport using multiday travel data," Transport Policy, Elsevier, vol. 152(C), pages 21-28.

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