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Maximum efficiency solution for capacitive wireless power transfer with N receivers

Published online by Cambridge University Press:  19 March 2020

Ben Minnaert Open the ORCID record for Ben Minnaert [Opens in a new window] ,
Mauro Mongiardo ,
Alessandra Costanzo Open the ORCID record for Alessandra Costanzo [Opens in a new window]  and
Franco Mastri
Ben Minnaert*
Affiliation:
Odisee University College of Applied Sciences, Ghent, Belgium
Mauro Mongiardo
Affiliation:
Department of Engineering, University of Perugia, Perugia, Italy
Alessandra Costanzo
Affiliation:
Department of Electrical, Electronic and Information Engineering Guglielmo Marconi, University of Bologna, Bologna, Italy
Franco Mastri
Affiliation:
Department of Electrical, Electronic and Information Engineering Guglielmo Marconi, University of Bologna, Bologna, Italy
*
Author for correspondence: Ben Minnaert, Odisee University College of Applied Sciences, Ghent, Belgium. E-mail: ben.minnaert@odisee.be
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Abstract

Typical wireless power transfer (WPT) systems on the market charge only a single receiver at a time. However, it can be expected that the need will arise to charge multiple devices at once by a single transmitter. Unfortunately, adding extra receivers influences the system efficiency. By impedance matching, the loads of the system can be adjusted to maximize the efficiency, regardless of the number of receivers. In this work, we present the analytical solution for achieving maximum system efficiency with any number of receivers for capacitive WPT. Among others, we determine the optimal loads and the maximum system efficiency. We express the efficiency as a function of a single variable, the system kQ-product and demonstrate that load capacitors can be inserted to compensate for any cross-coupling between the receivers.

Keywords

Capacitivecomponents and circuitsefficiency and optimization

Information

Type
Research Article
Information
Wireless Power Transfer , Volume 7 , Issue 1 , March 2020 , pp. 65 - 75
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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