Estimation of Optimal Operating Frequency for Wireless EV Charging System under Misalignment

Wireless charging of electric vehicles is achieved by a resonance-enhanced inductive power transfer technique. In this paper, a new method is proposed for the estimation of the operating frequency under the contingency of misalignment of the pickup coil. Analytically, the mutual inductance between t...

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Main Authors: Sooraj Varikkottil, Febin Daya J. L
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/8/3/342
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spelling doaj-bf9857ff0b624b1cb407f9fb53bcab592020-11-25T00:30:55ZengMDPI AGElectronics2079-92922019-03-018334210.3390/electronics8030342electronics8030342Estimation of Optimal Operating Frequency for Wireless EV Charging System under MisalignmentSooraj Varikkottil0Febin Daya J. L1School of Electrical Engineering, Vellore Institute of Technology—Chennai Campus, Chennai-600127, IndiaSchool of Electrical Engineering, Vellore Institute of Technology—Chennai Campus, Chennai-600127, IndiaWireless charging of electric vehicles is achieved by a resonance-enhanced inductive power transfer technique. In this paper, a new method is proposed for the estimation of the operating frequency under the contingency of misalignment of the pickup coil. Analytically, the mutual inductance between the primary and secondary coils is represented in terms of their vertical and horizontal displacements, using Neumann’s approximation formula. The operating frequency of the high-frequency inverter corresponds to the resonance condition, a function of the mutual inductance, which is decided by the coil misalignment. The obtained relations are corroborated with studies of simulations. The proposed method is validated by numerical simulation. A 1 kW experimental prototype is designed and tested. Experimental results corroborate the notion about the analytical expression.https://www.mdpi.com/2079-9292/8/3/342inductive power transferresonanceresonance power converter
collection DOAJ
language English
format Article
sources DOAJ
author Sooraj Varikkottil
Febin Daya J. L
spellingShingle Sooraj Varikkottil
Febin Daya J. L
Estimation of Optimal Operating Frequency for Wireless EV Charging System under Misalignment
Electronics
inductive power transfer
resonance
resonance power converter
author_facet Sooraj Varikkottil
Febin Daya J. L
author_sort Sooraj Varikkottil
title Estimation of Optimal Operating Frequency for Wireless EV Charging System under Misalignment
title_short Estimation of Optimal Operating Frequency for Wireless EV Charging System under Misalignment
title_full Estimation of Optimal Operating Frequency for Wireless EV Charging System under Misalignment
title_fullStr Estimation of Optimal Operating Frequency for Wireless EV Charging System under Misalignment
title_full_unstemmed Estimation of Optimal Operating Frequency for Wireless EV Charging System under Misalignment
title_sort estimation of optimal operating frequency for wireless ev charging system under misalignment
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2019-03-01
description Wireless charging of electric vehicles is achieved by a resonance-enhanced inductive power transfer technique. In this paper, a new method is proposed for the estimation of the operating frequency under the contingency of misalignment of the pickup coil. Analytically, the mutual inductance between the primary and secondary coils is represented in terms of their vertical and horizontal displacements, using Neumann’s approximation formula. The operating frequency of the high-frequency inverter corresponds to the resonance condition, a function of the mutual inductance, which is decided by the coil misalignment. The obtained relations are corroborated with studies of simulations. The proposed method is validated by numerical simulation. A 1 kW experimental prototype is designed and tested. Experimental results corroborate the notion about the analytical expression.
topic inductive power transfer
resonance
resonance power converter
url https://www.mdpi.com/2079-9292/8/3/342
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