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Control and Optimization of Power Converters—2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F3: Power Electronics".

Deadline for manuscript submissions: 25 September 2026 | Viewed by 615

Editors


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Guest Editor
School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
Interests: modeling, analysis, and control of power converters; power management in microgrids
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Guest Editor
Department of Electrical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Interests: power electronic converters; applications in microgrids and more/all-electric aircrafts
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Guest Editor
Energy Research Institute, Nanyang Technological University, Singapore 639798, Singapore
Interests: T-type inverters; modular multilevel converters; energy router, and the application of artificial intelligence in power electronics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Interests: high-power multiphase and multilevel DC-DC converters; resonant converters; grid-connected inverters; applications of wide-bandgap power electronic devices
Special Issues, Collections and Topics in MDPI journals
Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Interests: modular multilevel converters; solid-state transformers; energy routers; energy storage systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Power converters play a crucial role in modern electrical systems and are widely applied in renewable energy-based microgrids, industrial automation, electric vehicles, and aerospace applications. Their efficient control and optimization are critical for improving performance, reliability, and sustainability.

This Special Issue aims to provide a platform for researchers, engineers, and practitioners to present innovative solutions for controlling and optimizing power converters. The goal is to address challenges related to efficiency enhancement, stability, fault tolerance, and the integration of artificial intelligence and digital control in power electronics. The Special Issue will feature cutting-edge research on both theoretical advancements and practical implementations of control and optimization techniques in power converters. Detailed topics include, but are not limited to, the following:

  1. Advanced control strategies for power converters;
  2. Optimization techniques in power converters for topology design, efficiency improvement, component sizing, and parameter tuning;
  3. Applications of power converters in renewable energy-based microgrids and grid integration;
  4. High-efficiency power conversion based on wide-bandgap semiconductor devices and high-frequency magnetics and passive component optimization;
  5. Condition monitoring and diagnostics, fault detection, protection, and EMI/EMC mitigation techniques for power converters;
  6. Power converters for electric vehicles (EVs), hybrid electric vehicles (HEVs), wireless power transfer (WPT), and wireless charging systems;
  7. Power converters for data center power supply optimization.

Prof. Dr. Fei Deng
Prof. Dr. Xiangke Li
Dr. Ziheng Xiao
Dr. Zhigang Yao
Dr. Lei Zhang
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies 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 2600 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 converters
  • control strategies
  • optimization techniques
  • efficiency improvement
  • renewable energy
  • wide-bandgap semiconductors

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Published Papers (1 paper)

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Research

22 pages, 12471 KB  
Article
Optimization Strategy for Multi-Motor Cooperative Energy Recovery in Distributed Electric Propulsion Aircraft
by Xiangnan Deng, Bocong Zhang, Shuhao Deng, Fei Deng, Yacong Li, Tao Lei, Weilin Li and Xiaobin Zhang
Energies 2026, 19(10), 2442; https://doi.org/10.3390/en19102442 - 19 May 2026
Viewed by 393
Abstract
Distributed Electric Propulsion aircraft have gained significant attention for advancing green aviation. However, their application is constrained by the limited energy density of batteries, resulting in weight compensation and flight range limitation. Current research on DEP energy management predominantly focuses on thrust allocation [...] Read more.
Distributed Electric Propulsion aircraft have gained significant attention for advancing green aviation. However, their application is constrained by the limited energy density of batteries, resulting in weight compensation and flight range limitation. Current research on DEP energy management predominantly focuses on thrust allocation during the cruise phase while largely neglecting the energy regeneration potential during the descent phase. Conventional all-motors active energy recovery strategies force the multi-motor array to operate within a low-efficiency region, since the required drag torque is small under low aerodynamic drag conditions. To solve this issue, this paper proposes an energy recovery strategy that dynamically adjusts the number of activated motors during the descent phase of aircraft. The proposed N-Active strategy can adaptively regulate the number of operating motors, shifting motor operating points from the low-efficiency region to the high-efficiency region, which effectively decouples energy regulation within the longitudinal symmetry plane and maximizes energy recovery benefits. In this study, a high-fidelity simulation platform is established, including nonlinear aerodynamic characteristics and propeller windmilling motor efficiency models. Moreover, the optimal performance of the N-Active multi-motor cooperative energy recovery optimization strategy is verified based on the constructed platform. Simulation results demonstrate that compared with the traditional all motors active strategy, the proposed method improves battery state of charge by 11.96% and reduces virtual weight of battery. This method can effectively alleviate the weight compensation effect of distributed electric propulsion aircraft without additional physical weight increment, thereby enhancing the loading capacity of aircraft. Full article
(This article belongs to the Special Issue Control and Optimization of Power Converters—2nd Edition)
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