Dynamic Charging on the Go: Optimizing Mobile Charging Stations for Electric Vehicle Infrastructure

Suhas Jain, Arobinda Gupta

2025

Abstract

With the growing adoption of electric vehicles (EVs) as an eco-friendly and sustainable means of transportation, availability of adequate EV charging infrastructure has become very important. While fixed charging stations are the primary means for public charging, they can be effectively augmented by mobile charging stations. In this paper, we address the problem of planning and operating a mobile charging station fleet by an operator. We propose an algorithm for the operator to use for route planning of the MCSs and for scheduling charging requests of EVs to them to try to maximize the number of charging requests served. Detailed simulation results are presented in different realistic scenarios to show that the proposed algorithm works well.

Paper Citation

in Harvard Style

Jain S. and Gupta A. (2025). Dynamic Charging on the Go: Optimizing Mobile Charging Stations for Electric Vehicle Infrastructure. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 466-473. DOI: 10.5220/0013286400003941

in Bibtex Style

@conference{vehits25,
author={Suhas Jain and Arobinda Gupta},
title={Dynamic Charging on the Go: Optimizing Mobile Charging Stations for Electric Vehicle Infrastructure},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={466-473},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013286400003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Dynamic Charging on the Go: Optimizing Mobile Charging Stations for Electric Vehicle Infrastructure
SN - 978-989-758-745-0
AU - Jain S.
AU - Gupta A.
PY - 2025
SP - 466
EP - 473
DO - 10.5220/0013286400003941
PB - SciTePress