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Coil Optimization using Metaheuristic Techniques for Wireless Charging of Electric Vehicles - A Comparative Analysis.

  • Tabish Imtiaz*
  • , Ahmed Elsanabary
  • , Saad Mekhilef
  • , Marizan Binti Mubin
  • , Tey Kok Soon
  • , Nur Fadilah Ab Aziz
  • *Corresponding author for this work

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

Abstract

Wireless Power Transfer (WPT) used for charging of electric vehicles (EVs), suffers from the problem of misalignment. In this paper metaheuristic optimizing techniques are used to increase the misalignment tolerance of the receiver coil. This is done by optimizing the length of each turn of the transmitter coil such that a uniform magnetic field density is produced over the charging area, which is kept 26% higher than the transmitting coil area which further aids to accommodate misalignment of the receiver coil. Differential Evolution (DE), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) optimization algorithms are used to obtain the lengths of all the turns of the transmitter coil. These algorithms are also compared by varying the number of turns while keeping the number of iterations to a fixed value.

Original languageEnglish
Title of host publication2023 5th International Conference on Power and Energy Technology, ICPET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-265
Number of pages6
ISBN (Electronic)9798350339673
DOIs
StatePublished - 2023
Externally publishedYes
Event5th International Conference on Power and Energy Technology, ICPET 2023 - Hybrid, Tianjin, China
Duration: 27 Jul 202330 Jul 2023

Publication series

Name2023 5th International Conference on Power and Energy Technology, ICPET 2023

Conference

Conference5th International Conference on Power and Energy Technology, ICPET 2023
Country/TerritoryChina
CityHybrid, Tianjin
Period27/07/2330/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • ABC
  • Coil
  • DE
  • Misalignment
  • Opti-mization
  • PSO
  • Wireless Power Transfer

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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