On the Optimal Placement of Electric Vehicle Charging Stations

EasyChair Preprint 10495

Abstract

Increasing the adoption of Electric Vehicles (EV) is an integral part of many strategies to address climate change and air pollution. However, Electric Vehicle adoption rates are inhibited by several factors which reduce the confidence of potential buyers of electric vehicles, namely range anxiety and limited charging infrastructure. The latter concern can be addressed by carefully planning the placement of Electric Vehicle charging stations to sustainably meet long-term demand. We outline a methodology to optimally allocate Electric Vehicle Charging stations using a novel approach to demand estimation. Using this approach the first two authors placed second in the Academic category of an International Shell competition which was created to obtain solutions to this problem. They were also provided with a grant to further study this approach and to develop a deployment strategy.

Keyphrases: EV charging infrastructure, EV demand forecasting, Optimization

@booklet{EasyChair:10495,
  author    = {Johnny Tiu and Shankar Ramharack and Patrick Hosein},
  title     = {On the Optimal Placement of Electric Vehicle Charging Stations},
  howpublished = {EasyChair Preprint 10495},
  year      = {EasyChair, 2023}}