Addressing Local and Regional Recharging Demand: Allocation of Charging Stations through Iterative Route Analysis

The emergence of electric vehicles offers a promising approach to achieving a more sustainable transportation system, given their lower production of direct emissions. However, the limited driving range and insufficient public recharging infrastructure in some areas hinder their competitiveness agai...

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Bibliographic Details
Published in:Procedia computer science 2024, Vol.238, p.65-72
Main Authors: Fredriksson, Henrik, Dahl, Mattias, Holmgren, Johan, Lövström, Benny
Format: Article
Language:English
Subjects:
Allocation Strategy
Charging Station
Electric Vehicle
Recharging Demand
Systems Engineering
Systemteknik
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Summary:The emergence of electric vehicles offers a promising approach to achieving a more sustainable transportation system, given their lower production of direct emissions. However, the limited driving range and insufficient public recharging infrastructure in some areas hinder their competitiveness against traditional vehicles with internal combustion engines. To address these issues, this paper introduces an “iterative route cover optimization method” to suggest charging station locations in high-demand regions. The method samples routes from a route choice set and optimally locates at least one charging station along each route. Through iterative resampling and optimal allocation of charging stations, the method identifies the potential recharging demand in a location or a region. We demonstrate the method’s applicability to a transportation network of the southern part of Sweden. The results show that the proposed method is capable to suggest locations and geographical regions where the recharging demand is potentially high.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2024.05.197