Multiple Input Multiple Output Resonant Inductive WPT Link: Optimal Terminations for Efficiency Maximization
Giuseppina Monti,
Mauro Mongiardo,
Ben Minnaert,
Alessandra Costanzo and
Luciano Tarricone
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Giuseppina Monti: Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy
Mauro Mongiardo: Department of Engineering, University of Perugia, 06123 Perugia, Italy
Ben Minnaert: College of Applied Sciences, Odisee University, 9000 Ghent, Belgium
Alessandra Costanzo: Department of Electrical, University of Bologna, 40126 Bologna, Italy
Luciano Tarricone: Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy
Energies, 2021, vol. 14, issue 8, 1-25
Abstract:
In this paper a general-purpose procedure for optimizing a resonant inductive wireless power transfer link adopting a multiple-input-multiple-output (MIMO) configuration is presented. The wireless link is described in a general–purpose way as a multi-port electrical network that can be the result of either analytical calculations, full–wave simulations, or measurements. An eigenvalue problem is then derived to determine the link optimal impedance terminations for efficiency maximization. A step-by-step procedure is proposed to solve the eigenvalue problem using a computer algebra system, it provides the configuration of the link, optimal sources, and loads for maximizing the efficiency. The main advantage of the proposed approach is that it is general: it is valid for any strictly–passive multi–port network and is therefore applicable to any wireless power transfer (WPT) link. To validate the presented theory, an example of application is illustrated for a link using three transmitters and two receivers whose impedance matrix was derived from full-wave simulations.
Keywords: resonant coils; wireless power transfer; inductive coupling; optimal load; multiple input multiple output; power gain (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: 2021
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