Simulation-Compatible Capacitive Coupler Modeling and Analysis for Wireless Power Transfer Applications

Ilya Zeltser, Eli Abramov, Mor M. Peretz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This study examines and compares several electrical models of capacitive-couplers (CC), which are a fundamental unit in capacitive power transfer (CPT) systems, responsible for the power transfer between the transmitter and the receiver. The applicability and implementation of the models under study in static and dynamic simulation analyses are presented and discussed in detail. The study further explores a series (Thevenin) model of CC, which consists of a dependent voltage source in series with a capacitor, on both receiver and transmitter sides, and shows its advantages over other models in simplifying system analysis and dynamic simulations. The model has been verified by FEA simulations and by experiments. The experimental results are in a good agreement with the theoretical analysis and the simulations.

Original languageEnglish
Title of host publication2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728193878
DOIs
StatePublished - 1 Jan 2022
Event2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States
Duration: 9 Oct 202213 Oct 2022

Publication series

Name2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/TerritoryUnited States
CityDetroit
Period9/10/2213/10/22

Keywords

  • capacitive power transfer
  • capacitive-coupler modeling
  • simulation-compatible models
  • wireless power transfer

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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