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

被引：29
作者：
Bandyopadhyay, Soumya [1 ]
Prasanth, Venugopal [1 ]
Bauer, Pavol [1 ]
Ferreira, J. A. [1 ]
机构：
[1] Delft Univ Technol, DCE&S Grp, Dept Elect Sustainable Energy, Meklweg 04, NL-2628 CD Delft, Netherlands
来源：
2016 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) | 2016年
关键词：
Electric vehicles; Finite element modelling; Inductive power transfer (IPT); Multi-objective optimisation; Particle swarm optimisation; POWER;
D O I：
10.1109/ITEC.2016.7520210
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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 (eta), material weight or cost (w), and area-power density (alpha) 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.
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页数：7
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