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 language | English |
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| Title of host publication | 2016 IEEE Transportation Electrification Conference and Expo (ITEC) |
| Publisher | IEEE |
| Pages | 1-7 |
| Number of pages | 7 |
| ISBN (Print) | 978-1-5090-0403-4 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 2016 IEEE Transportation Electrification Conference and Expo (ITEC) - Detroit, United States Duration: 27 Jun 2016 → 29 Jun 2016 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7513627 |
Conference
| Conference | 2016 IEEE Transportation Electrification Conference and Expo (ITEC) |
|---|---|
| Abbreviated title | ITEC |
| Country/Territory | United States |
| City | Detroit |
| Period | 27/06/16 → 29/06/16 |
| Internet address |
Keywords
- Electric vehicles
- Finite element modelling
- Inductive power transfer (IPT)
- Multi-objective optimisation
- Particle swarm optimisation