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Electronics
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Advanced Technologies in Power Electronics
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Advanced Technologies in Power Electronics

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

Deadline for manuscript submissions: 15 August 2026 | Viewed by 4914

Editors

Dr. Gergana Vacheva

E-Mail Website
Guest Editor
Department of Power Electronics, Technical University of Sofia, 1000 Sofia, Bulgaria
Interests: electric vehicles; power electronic devices; charging stations; micro and nanogrids
Dr. Nikolay Hinov

E-Mail Website
Guest Editor
Faculty of Computer Systems and Technologies, Department of Computer Systems, Technical University in Sofia, 8 Ohridski Blvd., 1000 Sofia, Bulgaria
Interests: artificial intelligence; mathematical modeling; control theory and applications; smart cities and smart grids
Special Issues, Collections and Topics in MDPI journals
Dr. Jožef Ritonja

E-Mail Website
Guest Editor
Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
Interests: control theory; electrical machines; power systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of power electronics is undergoing rapid transformation, driven by increasing demands for energy efficiency, renewable integration, and intelligent control of power systems. This Special Issue,  “Advanced Technologies in Power Electronics”, aims to explore recent advances and technologies in power electronics that are shaping the future of energy conversion and management.

We invite original research articles, comprehensive reviews, and case studies that focus on innovative solutions and cutting-edge developments in the design, control, optimization, and application of power electronic systems. Topics of interest include, but are not limited to, the following:

  • Advanced topologies of DC–DC, AC–DC, and DC–AC converters;
  • High-frequency and high-efficiency converters;
  • SiC and GaN-based power devices and modules;
  • Control algorithms (model predictive, AI-based, adaptive control);
  • Power electronics for renewable energy systems;
  • Wireless power transfer and contactless energy systems;
  • Power electronics in e-mobility and smart grids;
  • EMI/EMC issues, thermal management, and packaging technologies;
  • Digital control, real-time implementation, and intelligent algorithms;
  • Reliability, fault tolerance, and diagnostics in converter systems.

This Special Issue will provide a platform for researchers and industry practitioners to disseminate novel findings and foster cross-disciplinary collaboration. Submissions addressing both theoretical advancements and practical implementations are welcome.

We look forward to receiving your contributions.

Dr. Gergana Vacheva
Dr. Nikolay Hinov
Dr. Jožef Ritonja
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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics 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

  • power electronics
  • energy conversion
  • smart converters
  • renewable energy sources
  • electric vehicles
  • charging station
  • AI in power systems
  • cybersecurity

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

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24 pages, 8246 KB  
Article
Overvoltage Suppression Filter Development for GaN Inverter-Fed Electrical Drive with Long Cable Based on Impedance Measurement
by Kaspars Kroičs and Jānis Voitkāns
Electronics 2026, 15(3), 717; https://doi.org/10.3390/electronics15030717 - 6 Feb 2026
Viewed by 515
Abstract
Wide-bandgap transistors have short voltage rise and fall times, thus leading to overvoltage at the end of the cable connecting the inverter and the motor. In this paper, the overvoltage reduction possibilities have been investigated analytically, experimentally, and based on a simulation model. [...] Read more.
Wide-bandgap transistors have short voltage rise and fall times, thus leading to overvoltage at the end of the cable connecting the inverter and the motor. In this paper, the overvoltage reduction possibilities have been investigated analytically, experimentally, and based on a simulation model. High-frequency models of the motor and the cable have been created based on impedance measurements. Different solutions for overvoltage reduction have been compared and an improved combined filter for the inverter with high switching frequency has been proposed. The overvoltage that was initially 80 percent has been reduced to below 10 percent by applying the filtering solution. Full article
(This article belongs to the Special Issue Advanced Technologies in Power Electronics)
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18 pages, 2764 KB  
Article
Design Phase-Locked Loop Using a Continuous-Time Bandpass Delta-Sigma Time-to-Digital Converter
by Thi Viet Ha Nguyen and Cong-Kha Pham
Electronics 2026, 15(3), 675; https://doi.org/10.3390/electronics15030675 - 4 Feb 2026
Viewed by 840
Abstract
This paper presents an all-digital fractional-N phase-locked loop (ADPLL) operating in the 2.86–3.2 GHz range, optimized for IoT and high-frequency RF transceiver applications demanding stringent phase noise performance, fast settling time, and high integration capability. The key innovation lies in the introduction of [...] Read more.
This paper presents an all-digital fractional-N phase-locked loop (ADPLL) operating in the 2.86–3.2 GHz range, optimized for IoT and high-frequency RF transceiver applications demanding stringent phase noise performance, fast settling time, and high integration capability. The key innovation lies in the introduction of a bandpass delta-sigma time-to-digital converter (BPDSTDC) that achieves high-resolution phase detection, an extended detection range of ±2π, and superior noise-shaping characteristics, completely eliminating the complex calibration procedures typically required in conventional TDC designs. The proposed architecture synergistically combines the BPDSTDC with digital down-conversion blocks to extract phase error at baseband, a divider chain integrated with phase interpolators achieving 1/4 fractional resolution to suppress in-band quantization noise, and a wide-bandwidth digital loop filter (>1 MHz) ensuring fast dynamic response and robust stability. The bandpass delta-sigma modulator is implemented with compact resonator structures and a flash quantizer, achieving an optimal balance among resolution, power consumption, and silicon area. The incorporation of highly linear phase interpolators extends fractional frequency synthesis capability without requiring complex digital-to-time converters (DTCs), significantly reducing design complexity and calibration overhead. Fabricated in a 180-nm CMOS technology, the proposed chip demonstrates robust measured performance. The band-pass delta-sigma TDC achieves a low integrated rms timing noise of 183 fs within a 1-MHz bandwidth. Leveraging this low TDC noise, the complete ADPLL exhibits a measured in-band phase noise of −120 dBc/Hz at a 1-MHz offset for a 3.2-GHz output frequency while operating with a loop bandwidth exceeding 1 MHz. This corresponds to a normalized phase noise of −216 dBc/Hz. The system operates from a 1.8-V supply and consumes 10 mW, achieving competitive performance compared with prior noise-shaping TDC-based all-digital PLLs. Full article
(This article belongs to the Special Issue Advanced Technologies in Power Electronics)
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29 pages, 7987 KB  
Article
Digital Control of a Bidirectional Resonant Converter for Electric Vehicle Applications with Enhanced Transient Response
by Ming-Hung Chen and Chi-Duong Ngo
Electronics 2025, 14(16), 3202; https://doi.org/10.3390/electronics14163202 - 12 Aug 2025
Viewed by 1690
Abstract
This paper presents the design and implementation of a bidirectional resonant converter with enhanced dynamic response to electric vehicles (EV). The proposed system comprises an assembly of four switches, a capacitor, and an inductor on both the primary and secondary sides of the [...] Read more.
This paper presents the design and implementation of a bidirectional resonant converter with enhanced dynamic response to electric vehicles (EV). The proposed system comprises an assembly of four switches, a capacitor, and an inductor on both the primary and secondary sides of the transformer. The value of C-L-L-C was calculated using the first harmonic approximation method. Moreover, the small-signal analysis method was used to design the control system and analyze the dynamic performance of the system. Closed-loop control algorithms for voltage and current loops with synchronous rectifiers (SRs) were designed and implemented on a 32-bit microcontroller (STM32G474RET6). A 70 kHz, 400 W prototype is built with a peak conversion efficiency of 95.05% using SR in the forward mode. Without SR, the peak conversion efficiency was 93.57% in the forward mode and 93.04% in the reverse mode. In the forward mode, the proposed algorithm reduced the settling time to 15 ms, in contrast to the 40 ms associated with the conventional algorithm; in the reverse mode, the proposed algorithm reduced the settling time to 10 ms, in contrast to the 15 ms associated with the conventional algorithm. Full article
(This article belongs to the Special Issue Advanced Technologies in Power Electronics)
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Review

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35 pages, 1423 KB  
Review
Intelligent Optimization in Power Electronics: Methods, Applications, and Practical Limits
by Nikolay Hinov
Electronics 2026, 15(6), 1216; https://doi.org/10.3390/electronics15061216 - 14 Mar 2026
Cited by 1 | Viewed by 832
Abstract
Power electronic converters are being pushed toward higher power density and switching frequency, turning both design and operation into multi-objective, multi-physics optimization problems. While analytical rules and gradient-based methods remain essential, they often struggle with non-convex, mixed-integer trade-offs that include thermal behavior, Electromagnetic [...] Read more.
Power electronic converters are being pushed toward higher power density and switching frequency, turning both design and operation into multi-objective, multi-physics optimization problems. While analytical rules and gradient-based methods remain essential, they often struggle with non-convex, mixed-integer trade-offs that include thermal behavior, Electromagnetic Interference/Electromagnetic Compatibility (EMI/EMC), and reliability constraints. This review surveys intelligent optimization approaches for power electronics across design-time, commissioning-time, and run-time horizons. We propose a deployment-oriented taxonomy of intelligent optimization approaches covering metaheuristics, surrogate-assisted and learning-guided design, constrained optimization via model predictive control, reinforcement learning-based supervisory policies, and hybrid physics-informed methods. For each family, we summarize typical tasks, computational and data requirements, robustness, interpretability, and validation maturity, highlighting where intelligent methods provide clear benefits and where classical approaches remain preferable. Reliability- and diagnostics-oriented optimization is discussed with emphasis on residual-based monitoring, stress-aware operation, and lifetime proxies. Practical adoption barriers—model–reality mismatch, data scarcity, real-time determinism, and certification—are synthesized into recurring design patterns that improve deployability. Finally, a conceptual cognitive design framework is proposed that couples virtual engineering, physics-informed surrogates, human-in-the-loop validation, and knowledge reuse in a closed-loop workflow, offering a structured perspective on how intelligent optimization may be integrated more reliably into industrial design practice. Full article
(This article belongs to the Special Issue Advanced Technologies in Power Electronics)
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