Minimization of queuing time of electric vehicles at a fast charging station

Farhan H. Malik, Matti Lehtonen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Parallel developments in electric vehicles' battery technologies and the charging equipment is leading the transportation and logistics sector towards a new era. This paper focusses on the quick charging needs of passenger electric vehicles for their optimal charging in terms of total charging time and network capacity utilization. Power distribution network capacity is utilized in such a way that, charging power to each of the individual charging socket is assigned based on the state of charge of the connected electric vehicle to that particular charging socket. An algorithm has been designed to intelligently allocate the charging power to the individual sockets at the fast charging station to control the charging rate of electric vehicles. Each of the connected electric vehicle could be charged to a certain level of state of charge depending on the length of the queue to avoid congestion of the queue and give chance to other electric vehicles to begin their charging. Simulation results show the relation between available network capacity, number of charging sockets at the charging station and the queuing time of EVs.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017
PublisherIEEE
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781538619537
DOIs
Publication statusPublished - 16 Jan 2018
MoE publication typeA4 Article in a conference publication
EventIEEE PES Europe Conference on Innovative Smart Grid Technologies - Torino, Italy
Duration: 26 Sep 201729 Sep 2017
Conference number: 7

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
PublisherIEEE
ISSN (Print)2165-4816
ISSN (Electronic)2165-4824

Conference

ConferenceIEEE PES Europe Conference on Innovative Smart Grid Technologies
Abbreviated titleISGT Europe
CountryItaly
CityTorino
Period26/09/201729/09/2017

Keywords

  • Battery
  • Charging
  • Electric Vehicle (EV)
  • Fast Charging Station
  • Network Capacity

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