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Applied Sciences
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New Insights into Wireless Power Transmission Systems
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New Insights into Wireless Power Transmission Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 649

Special Issue Editors

Dr. Michele Quercio

E-Mail Website
Guest Editor
Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, 00146 Rome, Italy
Interests: artificial intelligence; wireless power transfer; electromagnetic shielding
Special Issues, Collections and Topics in MDPI journals
Dr. Antonino Laudani

E-Mail Website
Guest Editor
Department of Electrical, Electronic, and Computer Engineering (DIEEI), University of Catania, Catania, Italy
Interests: solar energy and photovoltaic systems; electrical power and energy system; artificial intelligence; renewable energy; smart grids and microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the latest advancements and research breakthroughs in Wireless Power Transmission (WPT) systems. As WPT technology continues to evolve, it holds significant potential for transforming various industries, enabling the efficient and contactless transfer of energy over distances. This Special Issue explores key innovations, including enhanced power transfer efficiency, novel materials, system integration, and emerging applications, such as electric vehicles, biomedical devices, and consumer electronics.

Key topics covered include, but are not limited to:

  • Innovative WPT techniques: New methodologies to improve efficiency and range, such as resonant inductive coupling, microwave transmission, and laser-based systems.
  • Power management and safety: Advances in optimizing power flow and ensuring the safety of users and devices.
  • Energy harvesting: Integration of WPT systems with energy harvesting technologies for sustainable and autonomous power solutions.
  • System integration and miniaturization: Improvements in compact and scalable designs for consumer and industrial use.
  • Applications and future trends: Emerging uses in transportation, robotics, healthcare, IoT, and smart cities, along with future directions for WPT research.
  • Electromagnetic Environment Analysis: Focusing on optimizing the compatibility of WPT systems within various electromagnetic environments to ensure efficient operation.

Dr. Michele Quercio
Dr. Antonino Laudani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wireless power transmission (WPT)
  • energy harvesting
  • resonant inductive coupling
  • power transfer efficiency
  • system integration
  • electromagnetic compatibility

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Published Papers (2 papers)

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22 pages, 5534 KiB  
Article
Reduced-Order Nonlinear Envelope Modeling and Simulation of Resonant Inverter Driving Series Resistor–Inductor–Capacitor Load with Time-Varying Component Values
by Ohad Akler and Alon Kuperman
Appl. Sci. 2025, 15(8), 4502; https://doi.org/10.3390/app15084502 - 18 Apr 2025
Viewed by 175
Abstract
Envelope modeling is an efficient way to obtain the large-signal amplitude and phase dynamics of fast-varying sinusoidal signals required for, e.g., resonant frequency tracking or energy transfer rate regulation in power converters. In addition, the method eliminates fast-varying parameters from the model so [...] Read more.
Envelope modeling is an efficient way to obtain the large-signal amplitude and phase dynamics of fast-varying sinusoidal signals required for, e.g., resonant frequency tracking or energy transfer rate regulation in power converters. In addition, the method eliminates fast-varying parameters from the model so that the simulation time and memory requirements are reduced. This paper reveals the envelope-modeling process of a capacitor-powered resonant inverter feeding a time-varying series RLC load, often employed in pulsed-power applications. Such an arrangement is nontrivial since the system does not reach a steady state within a single pulse duration. Furthermore, model order reduction is carried out without performing linearization due to large variations in the expected operation point. As a result, a reduced-order nonlinear envelope model is derived and validated by simulations. Both the proposed modeling method and the derived model aim to simplify the challenging task of feedback controller design. Full article
(This article belongs to the Special Issue New Insights into Wireless Power Transmission Systems)
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18 pages, 889 KiB  
Article
Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System
by Davide Milillo, Lorenzo Sabino, Rafiq Asghar and Francesco Riganti Fulginei
Appl. Sci. 2025, 15(7), 3668; https://doi.org/10.3390/app15073668 - 27 Mar 2025
Viewed by 207
Abstract
Symbolic regression (SR) has emerged as a powerful tool for the characterization of Wireless Power Transfer (WPT) systems, estimating the distance between coils and finding the relationship between frequency and phase so as to find the best frequency to increase the power factor. [...] Read more.
Symbolic regression (SR) has emerged as a powerful tool for the characterization of Wireless Power Transfer (WPT) systems, estimating the distance between coils and finding the relationship between frequency and phase so as to find the best frequency to increase the power factor. This study explores the application of SR on both simulated and experimental data, demonstrating its effectiveness with low prediction errors. SR employs a genetic algorithm to identify the analytical formula that best represents the input–output relationship, combining the strengths of traditional machine learning and analytical modeling. The results, with prediction errors of less than 1%, indicate that SR not only enhances predictive accuracy but also provides insights into the underlying physical principles governing WPT systems. This dual advantage positions SR as a valuable method for optimizing WPT applications, paving the way for further research and development in this field. Full article
(This article belongs to the Special Issue New Insights into Wireless Power Transmission Systems)
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