Multi-objective Optimisation of a 1-kW Wireless IPT Systems for Charging of Electric vehicles

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17 Citations (Scopus)

Abstract

Inductive power transfer (IPT) systems for on-road dynamic charging of electric vehicles (EVs) must employ tracks with minimal copper and ferrite core material for improving coupling and field shaping without sacrificing on power transfer efficiency across the air gap. This paper details the multi-objective optimisation of IPT coil systems with respect to efficiency of power transfer (η), material weight or cost (w), and area-power density (α) as required in EV applications. A combination of detailed analytical calculations and experimentally verified 3D finite element models is used to analyse performance of IPT systems with polarized coupler topology [referred to as double D(DD) coils], I-shaped ferrite cores for field shaping and aluminium plates to reduce stray or leakage magnetic fields. An multi-objective pareto optimisation using Particle Swarm algorithm of a scaled 1kW prototype system with a 15 cm airgap is presented.
Original languageEnglish
Title of host publication2016 IEEE Transportation Electrification Conference and Expo (ITEC)
PublisherIEEE
Pages1-7
Number of pages7
ISBN (Print)978-1-5090-0403-4
DOIs
Publication statusPublished - 2016
Event2016 IEEE Transportation Electrification Conference and Expo (ITEC) - Detroit, United States
Duration: 27 Jun 201629 Jun 2016
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7513627

Conference

Conference2016 IEEE Transportation Electrification Conference and Expo (ITEC)
Abbreviated titleITEC
CountryUnited States
CityDetroit
Period27/06/1629/06/16
Internet address

Keywords

  • Electric vehicles
  • Finite element modelling
  • Inductive power transfer (IPT)
  • Multi-objective optimisation
  • Particle swarm optimisation

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