Optimal deployment of battery-less truck mobile charging stations on motorways

W. Hao,Songlin Zhou,Zhixue Li,Zhaolei Zhang,Bin Yu

Published 2025 in Proceedings of the Institution of Civil Engineers - Municipal Engineer

ABSTRACT

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.

PUBLICATION RECORD

  • Publication year

    2025

  • Venue

    Proceedings of the Institution of Civil Engineers - Municipal Engineer

  • Publication date

    2025-11-26

  • Fields of study

    Not labeled

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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