DocumentCode :
25375
Title :
Modeling and \\eta - \\alpha -Pareto Optimization of Inductive Power Transfer Coils for Electric Vehicles
Author :
Bosshard, Roman ; Kolar, Johann Walter ; Muhlethaler, Jonas ; Stevanovic, Ivica ; Wunsch, Bernhard ; Canales, Francisco
Author_Institution :
Power Electron. Syst. Lab., ETH Zurich, Zurich, Switzerland
Volume :
3
Issue :
1
fYear :
2015
fDate :
Mar-15
Firstpage :
50
Lastpage :
64
Abstract :
This paper details the optimization of inductive power transfer (IPT) coil systems with respect to efficiency η and area-related power density α as required in electric vehicle applications. Based on analytical calculations and finite-element models, which are discussed and experimentally verified in detail, generally valid design guidelines for high-power IPT systems are derived, and the η-α-Pareto optimization of a scaled 5kW prototype system is presented. Experiments demonstrate a dc-to-dc conversion efficiency of more than 96.5% at a power density of 1.47kW/dm2 with coils of 210mm diameter/52mm air gap, including the losses in the resonant capacitors and the power converter. Field measurements validate the predicted stray field with a calculation error of less than 10%.
Keywords :
DC-DC power convertors; Pareto optimisation; electric vehicles; finite element analysis; inductive power transmission; machine insulation; power capacitors; η-α-Pareto optimization; IPT coil systems; air gap; dc-to-dc conversion efficiency; electric vehicles; finite element models; high-power IPT systems; inductive power transfer coils; inductive power transfer optimization; power 5 kW; power converter; power density; resonant capacitors; size 210 mm; stray field; Coils; Couplings; Magnetic resonance; Power electronics; Receivers; Transmitters; Electric vehicles; Pareto optimization; finite-element modeling; inductive power transfer;
fLanguage :
English
Journal_Title :
Emerging and Selected Topics in Power Electronics, IEEE Journal of
Publisher :
ieee
ISSN :
2168-6777
Type :
jour
DOI :
10.1109/JESTPE.2014.2311302
Filename :
6762832
Link To Document :
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