Optimal Planning of Electric Vehicle Charging Stations: Integrating Public Charging Networks and Transportation Congestion
Jingbo Wang, Harshal D. Kaushik, Jie Zhang

TL;DR
This paper develops an optimal planning framework for EV charging stations that considers traffic congestion and charging efficiency, aiming to improve long-distance EV travel by strategic station placement and charging protocols.
Contribution
It introduces a comprehensive method integrating traffic congestion data and charging station robustness to optimize charger placement and charging strategies for EVs.
Findings
Maximizing the constant current phase improves charging efficiency.
Congestion significantly impacts travel and charging times.
Strategic charger placement can mitigate congestion effects.
Abstract
The adoption of electric vehicles (EVs) represents a critical shift in personal mobility, fueled by policy support and advancements in automotive technology. However, the expansion of EVs for long-distance travel is hindered by charging time concerns, the sparse distribution of charging stations, and the worsening waiting times due to congestion. The main objective of this work is two-fold: 1) first, to comprehensively analyze the existing public charging station robustness and effectively strategize for the new ones, and 2) secondly, to select the optimal chargers for long-distance journeys, by estimating the waiting time from current traffic congestion. This is achieved by accompanying effective EV charging strategies, pinpointing on the congestion points from the existing traffic, and the robustness of the current charging station infrastructure. Utilizing a real-time transportation…
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Transportation and Mobility Innovations · Advanced Battery Technologies Research
