A hybrid model for public electric vehicle charging infrastructure planning

Qi Wang, Dongmo Zhang, Bo Du

Research output: Chapter in Book / Conference PaperChapterpeer-review

Abstract

With the rapid growth of electric vehicles (EVs), the shortage and uneven distribution of charging infrastructure have become major issues. This paper proposes a method for public charging infrastructure planning based on a hybrid EV charging model. It estimates EV flow between locations with a gravity model, applies a congestion game model to determine demand distribution across charging stations, and then optimizes charger deployment at each location. The method is demonstrated through a case study in the Sydney metropolitan area.

Original languageEnglish
Title of host publicationPRICAI 2024: Trends in Artificial Intelligence, 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part V
EditorsRafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai
Place of PublicationSingapore
PublisherSpringer
Pages111-117
Number of pages7
ISBN (Electronic)9789819601288
ISBN (Print)9789819601271
DOIs
Publication statusPublished - 2025

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume15285

Keywords

  • congestion game
  • electric vehicles
  • gravity model

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