Conjugate Image Theory Applied on Capacitive Wireless Power Transfer

Ben Minnaert and Nobby Stevens
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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

Energies, 2017, vol. 10, issue 1, 1-15

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.

Keywords: capacitive wireless power; compensation network; conjugate image theory; coupling factor; impedance matching; inductive wireless power; maximum power transfer efficiency; power transfer; two-port networks; wireless power transfer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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