Abstract
Electric vehicles (EVs) are environmentally friendly and are considered to be a promising approach toward a green transportation infrastructure with lower greenhouse gas emissions. However, the limited driving range of EVs demands a strategic allocation of charging facilities, hence providing recharging opportunities that help reduce EV owners' anxiety about their vehicles' range. In this paper, we study a set covering method where self-avoiding walks are utilized to find the most significant locations for charging stations. In the corresponding optimization problem, we derive a lower bound of the number of charging stations in a transportation network to obtain full coverage of the most probable routes. The proposed method is applied to a transportation network of the southern part of Sweden.
Keywords
MSC
90-C06, 90-B20, 90-B80
Cite this article
@article{cai-4993,
author = {Henrik Fredriksson and Mattias Dahl and Johan Holmgren},
title = {Optimal Allocation of Charging Stations for Electric Vehicles Using Probabilistic Route Selection},
journal = {Computing and Informatics},
volume = {40},
number = {2},
pages = {408--427},
year = {2021},
issn = {1335-9150},
doi = {10.31577/cai_2021_2_408}
}
TY - JOUR AU - Henrik Fredriksson AU - Mattias Dahl AU - Johan Holmgren TI - Optimal Allocation of Charging Stations for Electric Vehicles Using Probabilistic Route Selection JO - Computing and Informatics VL - 40 IS - 2 SP - 408 EP - 427 PY - 2021 SN - 1335-9150 DO - 10.31577/cai_2021_2_408 UR - https://doi.org/10.31577/cai_2021_2_408 KW - Charging stations KW - electric vehicle KW - transportation network KW - optimal placement KW - self-avoiding random walk ER -
Fredriksson, H., Dahl, M., & Holmgren, J. (2021). Optimal Allocation of Charging Stations for Electric Vehicles Using Probabilistic Route Selection. Computing and Informatics, 40(2), 408–427. https://doi.org/10.31577/cai_2021_2_408