Although fixed chargers have been installed on motorways, they often fail to meet the charging demand of electric vehicles (EV) on peak days. The battery-less truck mobile charging station (BL-TMCS) is a truck that carries chargers for EV and can be moved along motorways to provide additional energy. Based on a detailed analysis of the feasibility of using BL-TMCS, this paper proposed a solution to the problem. By integrating traffic simulation, the Monte Carlo method, the EV energy consumption model, and the user decision model for charging, a comprehensive simulation-based framework was established to estimate the spatio-temporal distribution of charging demand on motorways. A precise method was developed to calculate waiting time of users based on the real-time status of chargers. To minimise the average waiting time of users, an optimal deployment model for BL-TMCS was formulated considering constraints such as the number, operating costs and transfer times, and solved using a genetic algorithm. The numerical study shows that with a 50% increase in traffic volume on the test motorway, the deployment of two BL-TMCSs reduces the average waiting time from 21.76 to 0.75 min. These results highlight the effectiveness of the proposed solution and method.
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Research Article|
November 26 2025
Optimal deployment of battery-less truck mobile charging stations on motorways
Wei Hao;
Wei Hao
School of Traffic and Transportation Engineering,
Changsha University of Science and Technology
, Changsha, China
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Songlin Zhou;
School of Traffic and Transportation Engineering,
Changsha University of Science and Technology
, Changsha, China
; Design and Research Institute Co. Ltd, Hunan City University, Changsha, China; Hunan Provincial Urban and Rural Ecological Planning and Restoration Engineering Technology Research Centre, Hunan City University, Changsha, ChinaCorresponding author Songlin Zhou (908099135@qq.com)
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Zhixue Li;
Zhixue Li
Design and Research Institute Co. Ltd,
Hunan City University
, Changsha, China
; Hunan Provincial Urban and Rural Ecological Planning and Restoration Engineering Technology Research Centre, Hunan City University, Changsha, China
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Zhaolei Zhang;
Zhaolei Zhang
School of Traffic and Transportation Engineering,
Changsha University of Science and Technology
, Changsha, China
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Bin Yu
Bin Yu
School of Transportation Science and Engineering,
Beihang University
, Beijing, China
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Corresponding author Songlin Zhou (908099135@qq.com)
Publisher: Emerald Publishing
Received:
January 19 2025
Accepted:
September 16 2025
Online ISSN: 1751-7699
Print ISSN: 0965-0903
Funding
Funding Group:
- Award Group:
- Funder(s): National Natural Science Foundation of China
- Award Id(s): 52472338,52411540233
- Funder(s):
- Award Group:
- Funder(s): Science and Technology Innovation Program of Hunan Province
- Award Id(s): 2023RC1059
- Funder(s):
- Award Group:
- Funder(s): Key Technology R&D Program of Hunan Province
- Award Id(s): 2017TP2006
- Funder(s):
- Funding Statement(s): This study was supported by the National Natural Science Foundation of China (Grant No. 52472338, 52411540233), the Science and Technology Innovation Program of Hunan Province (Grant No. 2023RC1059) and the Key Technology R&D Program of Hunan Province (Grant No. 2017TP2006). The authors thank the Open Street Map (Link to the website of OpenStreetMapLink to the cited article.) for providing some of the data. Any opinions, findings, and conclusions expressed in this material are those of the author(s).
© 2025 Emerald Publishing Limited
2025
Emerald Publishing Limited
Licensed re-use rights only
Proceedings of the Institution of Civil Engineers - Municipal Engineer 1–13.
Article history
Received:
January 19 2025
Accepted:
September 16 2025
Citation
Hao W, Zhou S, Li Z, Zhang Z, Yu B (2025;), "Optimal deployment of battery-less truck mobile charging stations on motorways". Proceedings of the Institution of Civil Engineers - Municipal Engineer, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1680/jmuen.25.00021
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