Routing Optimization of Electric Vehicles for Charging With Event-Driven Pricing Strategy

Yue Xiang, Jianping Yang, Xuecheng Li, Chenghong Gu, Shuai Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

With the increasing market penetration of electric vehicles (EVs), the charging behavior and driving characteristics of EVs have an increasing impact on the operation of power grids and traffic networks. Existing research on EV routing planning and charging navigation strategies mainly focuses on vehicle-road-network interactions, but the vehicle-to-vehicle interaction has rarely been considered, particularly in studying simultaneous charging requests. To investigate the interaction of multiple vehicles in routing planning and charging, a routing optimization of EVs for charging with an event-driven pricing strategy is proposed. The urban area of a city is taken as a case for numerical simulation, which demonstrates that the proposed strategy can not only alleviate the long-time queuing for EV fast charging but also improve the utilization rate of charging infrastructures.

Original languageEnglish
JournalIEEE Transactions on Automation Science and Engineering
Early online date19 Aug 2021
DOIs
Publication statusE-pub ahead of print - 19 Aug 2021

Keywords

  • Charging stations
  • Electric vehicle (EV)
  • Electric vehicle charging
  • event-driven
  • Navigation
  • navigation
  • Power grids
  • Pricing
  • receding-horizon
  • Roads
  • Routing
  • routing optimization.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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