A Dynamic Frequency Sweeping Based Parameter Estimation Method for Wireless Power Transfer

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Abstract

It is ideal for the wireless power transfer (WPT) systems to operate at the resonance state for better transmission performance. In practice, however, the parameters of the resonant circuits often deviate because of the capacitance drift and coil misalignment. To this end, this paper proposes a new parameter estimation method for the WPT systems, which is able to facilitate the power flow control and active impedance tuning of the WPT systems under parameter deviations. Distinct from the traditional parameter identification methods, the proposed method is implemented with an short-circuited rectifier, and therefore, the whole estimation process is independent of the load variations. Furthermore, to avoid severe system detuning during the frequency-sweeping process, a dynamic frequency sweeping method is proposed to efficiently and safely extract the data of the primary and secondary coil currents. Based on the extracted data, a mathematical model is established, and the JAYA algorithm is utilized to identify the unknown parameters. Experimental results are presented to verify the estimation accuracy of the proposed method.
Original languageEnglish
Title of host publicationProceedings of the IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
Number of pages6
ISBN (Electronic)979-8-3503-3182-0
ISBN (Print)979-8-3503-3183-7
DOIs
Publication statusPublished - 2023
EventIECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X
ISSN (Electronic)2577-1647

Conference

ConferenceIECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

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.

Keywords

  • wireless power transfer
  • parameter estimation
  • the JAYA algorithm

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