Simulation of 4-coils Magnetic Resonance Coupling for Multiple Receivers Wireless Power Transfer at Various Transmission Distance

Shun Yao Tan, Hui Jing Lee, Kuen Yao Lau, Pin Jern Ker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper performs a critical review on multiple receivers' wireless power transfer with magnetic resonance with a 4-coils structure. CST software is used for the simulation work to observe magnetic resonance coupling for multiple receiver's wireless power transfer at a varied separation distance between the transmitter coil and receiver coil. Comparative analysis was performed at a separation distance of 3, 6, 9, 12, and 15 cm. Electric and magnetic fields, scattering output and impedance are the output parameters recorded and analyzed.

Original languageEnglish
Title of host publication2018 IEEE 16th Student Conference on Research and Development, SCOReD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538691755
DOIs
Publication statusPublished - 02 Jul 2018
Event16th IEEE Student Conference on Research and Development, SCOReD 2018 - Selangor, Malaysia
Duration: 26 Nov 201828 Nov 2018

Publication series

Name2018 IEEE 16th Student Conference on Research and Development, SCOReD 2018

Conference

Conference16th IEEE Student Conference on Research and Development, SCOReD 2018
CountryMalaysia
CitySelangor
Period26/11/1828/11/18

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

Tan, S. Y., Lee, H. J., Lau, K. Y., & Ker, P. J. (2018). Simulation of 4-coils Magnetic Resonance Coupling for Multiple Receivers Wireless Power Transfer at Various Transmission Distance. In 2018 IEEE 16th Student Conference on Research and Development, SCOReD 2018 [8711181] (2018 IEEE 16th Student Conference on Research and Development, SCOReD 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2018.8711181