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Conjugate Image Theory Applied on Capacitive Wireless Power Transfer

Author

Listed:
  • Ben Minnaert

    (Department of Electrical Engineering, KU Leuven, Technology Campus Ghent, Gebroeders de Smetstraat 1, B9000 Ghent, Belgium)

  • Nobby Stevens

    (Department of Electrical Engineering, KU Leuven, Technology Campus Ghent, Gebroeders de Smetstraat 1, B9000 Ghent, Belgium)

Abstract

Wireless power transfer using a magnetic field through inductive coupling is steadily entering the market in a broad range of applications. However, for certain applications, capacitive wireless power transfer using electric coupling might be preferable. In order to obtain a maximum power transfer efficiency, an optimal compensation network must be designed at the input and output ports of the capacitive wireless link. In this work, the conjugate image theory is applied to determine this optimal network as a function of the characteristics of the capacitive wireless link, as well for the series as for the parallel topology. The results are compared with the inductive power transfer system. Introduction of a new concept, the coupling function, enables the description of the compensation network of both an inductive and a capacitive system in two elegant equations, valid for the series and the parallel topology. This approach allows better understanding of the fundamentals of the wireless power transfer link, necessary for the design of an efficient system.

Suggested Citation

  • Ben Minnaert & Nobby Stevens, 2017. "Conjugate Image Theory Applied on Capacitive Wireless Power Transfer," Energies, MDPI, vol. 10(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:46-:d:86783
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    Citations

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    Cited by:

    1. Ben Minnaert & Franco Mastri & Nobby Stevens & Alessandra Costanzo & Mauro Mongiardo, 2018. "Coupling-Independent Capacitive Wireless Power Transfer Using Frequency Bifurcation," Energies, MDPI, vol. 11(7), pages 1-13, July.
    2. Fei Lu & Hua Zhang & Chris Mi, 2017. "A Review on the Recent Development of Capacitive Wireless Power Transfer Technology," Energies, MDPI, vol. 10(11), pages 1-30, November.
    3. Il-Oun Lee & Joongheon Kim & Woojoo Lee, 2017. "A High-Efficient Low-Cost Converter for Capacitive Wireless Power Transfer Systems," Energies, MDPI, vol. 10(9), pages 1-14, September.
    4. Ben Minnaert & Nobby Stevens, 2017. "Optimal Analytical Solution for a Capacitive Wireless Power Transfer System with One Transmitter and Two Receivers," Energies, MDPI, vol. 10(9), pages 1-16, September.

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