LAPSE:2023.26927
Published Article

LAPSE:2023.26927
Automatic Optimization of the Compensation Networks of a Wireless Power Transfer System
April 3, 2023
Abstract
This paper addresses the optimization of the compensation networks of a wireless power transfer system. Optimization is performed by means of a genetic algorithm that looks for the reactances of the elements of the compensation networks that maximize the power transfer efficiency and the power transferred to the load. In addition, the algorithm selects the solutions that are less sensitive to the difference between the theoretical and actual reactances. The last part of the paper describes the prototypal setup used for the tests and supports the theoretical findings by reporting experimental results.
This paper addresses the optimization of the compensation networks of a wireless power transfer system. Optimization is performed by means of a genetic algorithm that looks for the reactances of the elements of the compensation networks that maximize the power transfer efficiency and the power transferred to the load. In addition, the algorithm selects the solutions that are less sensitive to the difference between the theoretical and actual reactances. The last part of the paper describes the prototypal setup used for the tests and supports the theoretical findings by reporting experimental results.
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Keywords
compensation networks, optimization algorithm, wireless power transfer
Subject
Suggested Citation
Bertoluzzo M, Giacomuzzi S, Sieni E. Automatic Optimization of the Compensation Networks of a Wireless Power Transfer System. (2023). LAPSE:2023.26927
Author Affiliations
Bertoluzzo M: Department of Industrial Engineering, University of Padova, via Gradenigo 6a, 35131 Padova, Italy [ORCID]
Giacomuzzi S: Department of Industrial Engineering, University of Padova, via Gradenigo 6a, 35131 Padova, Italy [ORCID]
Sieni E: Department of Theoretical and Applied Sciences, University of Insubria, via J.H. Dunant, 3, 21100 Varese, Italy [ORCID]
Giacomuzzi S: Department of Industrial Engineering, University of Padova, via Gradenigo 6a, 35131 Padova, Italy [ORCID]
Sieni E: Department of Theoretical and Applied Sciences, University of Insubria, via J.H. Dunant, 3, 21100 Varese, Italy [ORCID]
Journal Name
Energies
Volume
13
Issue
20
Article Number
E5298
Year
2020
Publication Date
2020-10-12
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13205298, Publication Type: Journal Article
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LAPSE:2023.26927
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https://doi.org/10.3390/en13205298
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Apr 3, 2023
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