Comparison of Optimized Chargepads for Wireless EV Charging Application

Conference Paper (2019)
Author(s)

Soumya Bandyopadhyay (TU Delft - DC systems, Energy conversion & Storage)

Jianning Dong (TU Delft - DC systems, Energy conversion & Storage)

Zian Qin (TU Delft - DC systems, Energy conversion & Storage)

P. Bauera (TU Delft - DC systems, Energy conversion & Storage)

Research Group
DC systems, Energy conversion & Storage
Copyright
© 2019 S. Bandyopadhyay, J. Dong, Z. Qin, P. Bauer
DOI related publication
https://doi.org/10.23919/ICPE2019-ECCEAsia42246.2019.8796904
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 S. Bandyopadhyay, J. Dong, Z. Qin, P. Bauer
Research Group
DC systems, Energy conversion & Storage
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care  Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
606-613
ISBN (print)
978-1-7281-1612-9
ISBN (electronic)
978-89-5708-313-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Inductive power transfer (IPT) is becoming increasingly popular in stationary electric vehicle charging systems. In this paper, the influence of the different IPT coupler geometries on the performance factors efficiency, power density, misalignment tolerance, and stray field is studied. Five different cou-pler topologies namely the circular, rectangular, double-D (DD-DD) and the double-D transmitter with double-D-Quadrature receiver (DD-DDQ) are considered in this study. The electromagnetic behavior of the couplers is modeled using three-dimensional finite element analysis. To ensure a fair quantitative comparison, a multi-objective optimization framework is developed to analyze the Pareto trade-offs between conflicting performance metrics like power densities, efficiencies, and misalignment tolerance for all the considered coupler topologies.

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