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

Conference Paper (2016)
Author(s)

Soumya Bandyopadhyay (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Venugopal Prasanth (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Pavol Bauer (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Bram Ferreira (TU Delft - ESE Programmes)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/ITEC.2016.7520210 Final published version
More Info
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Publication Year
2016
Language
English
Research Group
DC systems, Energy conversion & Storage
Pages (from-to)
1-7
ISBN (print)
978-1-5090-0403-4
Event
2016 IEEE Transportation Electrification Conference and Expo (ITEC) (2016-06-27 - 2016-06-29), Detroit, United States
Page Views
212

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.