Advanced Power Electronic Converters for Modern Energy Systems: Architectures, Components, Controllers and Materials

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 July 2026 | Viewed by 1187

Special Issue Editors


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Guest Editor
Department of Engineering, University of Perugia, 06125 Perugia, Italy
Interests: modelling and experimental characterization of magnetic materials (magnetic steels, powder cores, ferrites, 3D printed materials); modelling and control of DC-DC converters; wireless power transfer systems

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Guest Editor
Information Engineering Department, University of Florence, 50139 Firenze, Italy
Interests: modeling and control of DC–DC PWM and resonant converters; wireless power transfer; energy storage characterization; electric vehicle powertrain
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Special Issue Information

Dear Colleagues,

It is a pleasure to invite you to submit contributions to this new Special Issue entitled “Advanced Power Electronic Converters for modern Energy systems: Architectures, Components, Controllers and Materials”. Power converters play a crucial role in today's life. The increasing electrification in many sectors, from both the industrial and the domestic areas, and the large diffusion of renewable energy sources (with the respective storage systems), leads to a growing necessity of devices for the electric power conversion with high performances under multiple points of view (efficiency, power density, reliability, and costs). The performance optimization of power converters can be carried out by intervening on several aspects: materials (especially for the magnetic parts, to limit the losses of the inductors), components (electronic devices to reduce the switching losses), and architectures (for example, DAB or resonant converters, wired or wireless, to work at high frequency with high efficiency). The advantages achievable in power converter performance by increasing the working frequency drive the development of specific designs for these devices and their sub-components.

For this reason, this Special Issue welcomes all contributions (modeling, numerical simulations, experimental characterization, and prototypes) on materials, components, and architectures that can improve the design of power converters for medium-high frequency (from a few kHz to tens of MHz) applications.

Special session topics include, but are not limited to, the following:

  • Modeling of advanced and innovative power converters;
  • Modeling of electronic devices and magnetic materials for power converters;
  • Advances in new and more performing magnetic materials for power converters (new generation powder cores, ferrites, 3D printed materials, amorphous cores, nanocrystalline cores);
  • Simulations of new, more performing power electronics devices;
  • Realization and experimental measurements of new, more performing power converters;
  • Wireless power transfer systems;
  • New and more performing Architectures for high-frequency power electronic converters;
  • Artificial intelligence applied to power electronic converters and their devices;
  • Applications of advanced power converters in modern energy

Dr. Vittorio Bertolini
Dr. Fabio Corti
Guest Editors

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Keywords

  • advanced power converters
  • high-frequency power converters
  • magnetic materials for power electronics
  • modelling of power converters
  • simulation of power converters
  • control of power converters
  • innovative power converters architectures
  • AI for power converters design
  • AI for power converters optimization

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Published Papers (3 papers)

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Research

19 pages, 2069 KB  
Article
Edge-Deployable Tabular Q-Learning Voltage Control for LLC Resonant Converters Under Dynamic Conditions
by Fabio Corti, Alberto Reatti and Danilo Pietro Pau
Electronics 2026, 15(10), 2091; https://doi.org/10.3390/electronics15102091 - 14 May 2026
Abstract
This paper proposes an innovative control strategy for DC-DC LLC resonant converters, which is based on Reinforcement Learning (RL), specifically utilizing the Tabular Q-Learning algorithm. The presented approach is designed to overcome the limitations of traditional model-based linear controllers and offers two distinct [...] Read more.
This paper proposes an innovative control strategy for DC-DC LLC resonant converters, which is based on Reinforcement Learning (RL), specifically utilizing the Tabular Q-Learning algorithm. The presented approach is designed to overcome the limitations of traditional model-based linear controllers and offers two distinct advantages. First, the model-free nature of the algorithm ensures superior robustness: the agent learns the optimal control policy through direct interaction with the converter, implicitly compensating for non-linearities, component tolerances, and parameter drifts caused by aging or thermal stress, without requiring a priori knowledge of the mathematical model. Second, unlike Deep Reinforcement Learning (DRL) techniques, which demand high processing power, the tabular approach guarantees a fast, deterministic execution, which makes the proposed technique highly suitable for implementation on standard microcontrollers in low-cost edge applications. Validation through PLECS simulations demonstrates the controller’s ability to maintain tight voltage regulation even under severe dynamic variations of the input voltage and load. Full article
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22 pages, 9623 KB  
Article
Sub-Harmonic Stability and Slope Compensation Boundary in Peak/Valley DC–DC Converters
by Aaryan Tiwary and Gabriel A. Rincón-Mora
Electronics 2026, 15(8), 1609; https://doi.org/10.3390/electronics15081609 - 13 Apr 2026
Viewed by 316
Abstract
Sub-harmonic oscillations are a key stability concern in fast-switched inductor power supplies using clocked constant-period peak/valley-current loops. Using generalized models, IC designers can predict and suppress sub-harmonic oscillations with minimal overhead. This work presents an insightful, generalized, and comprehensive time-domain analysis of sub-harmonic [...] Read more.
Sub-harmonic oscillations are a key stability concern in fast-switched inductor power supplies using clocked constant-period peak/valley-current loops. Using generalized models, IC designers can predict and suppress sub-harmonic oscillations with minimal overhead. This work presents an insightful, generalized, and comprehensive time-domain analysis of sub-harmonic oscillation propagation and suppression via slope compensation in constant-period peak/valley-current control. Since it is unstated and unvalidated in the literature, an exact, easy-to-apply expression for the slope compensation boundary is derived in terms of basic circuit operating parameters, showing that it is half of the difference in the drain and energize slopes in peak mode, and half of the difference in the energize and drain slopes in valley mode, lying beyond the conventionally accepted half drain (peak) and energize (valley) slope criteria. The prior literature also does not account for the impact of parasitic resistances on the duty-cycle-based stability boundary beyond which sub-harmonic oscillations begin. We address these gaps and establish a theoretical basis for the absence of sub-harmonic oscillations in DCM. Additionally, existing approaches to slope selection ensure stability but do not target the rate of suppression. We address this by proposing a compensation slope that achieves 90% suppression of the initial imbalance within three switching periods. Full article
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13 pages, 2930 KB  
Article
A Bipolar-Output Converter with an Adaptive Ramp Generator and PWM Control for OLED Displays
by Xuan Thanh Pham, Minh Tan Nguyen, Alessandro Lo Schiavo and Orazio Aiello
Electronics 2026, 15(3), 688; https://doi.org/10.3390/electronics15030688 - 5 Feb 2026
Viewed by 542
Abstract
Traditional power management for organic electroluminescent (OLED) displays is performed by two different converters, providing both positive and negative power rails and thus raising fabrication costs due to the usage of two inductors, in addition to efficiency being dependent on one of the [...] Read more.
Traditional power management for organic electroluminescent (OLED) displays is performed by two different converters, providing both positive and negative power rails and thus raising fabrication costs due to the usage of two inductors, in addition to efficiency being dependent on one of the two converters while also suffering from high-voltage stress. This paper introduces a bipolar converter that only uses a single inductor to generate both power rails for OLED displays, along with two additional flying capacitors to reduce inductor currents and voltage stress placed on the power switches. The proposed design implemented in the 180 nm CMOS process occupies a chip area of 0.98 mm2 and achieves a peak efficiency of 93% at 350 mA load current. Furthermore, the ripple voltage is greatly reduced using both common-mode and differential-mode feedback loops in the PWM control scheme, with a maximum ripple of 20 mV across a 100–500 mA current range. Full article
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