Electric Machines and Intelligent Control Systems for Energy-Efficient Electromechanical Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: 10 October 2026 | Viewed by 1514
Special Issue Editors
Interests: modeling of ignition systems; electric machines and drives; renewable and low-emission energy sources; energy efficiency in electromechanical systems; lighting technology; smart and adaptive lighting applications
Interests: PM machines and drives; modeling of electromagnetic field distribution in electromechanical converters; control systems of electric machines; electric drives in robotics; interaction of electric machines with power systems
Special Issue Information
Dear Colleagues,
Electrical machines constitute essential components of modern drive, industrial and power systems. Their continuous development plays a crucial role in enhancing energy efficiency, operational reliability and the sustainable utilization of resources.
Recent advancements in the design, modeling and control of electrical machines—including those supported by artificial intelligence, machine learning and advanced power electronics—have significantly expanded the potential applications of high-performance electromechanical systems.
This Special Issue focuses on the latest progress in energy-efficient electrical machines and intelligent control systems that enhance their performance and reliability under diverse operating conditions. The aim of this issue is to present innovative research results and engineering solutions that contribute to the development of a new generation of motors and generators characterized by higher efficiency, adaptability and environmental sustainability.
The topics of interest include, but are not limited to:
- design, modeling and optimization of electrical machines (motors, generators and drive systems);
- advanced control and diagnostic methods, including those supported by artificial intelligence and machine learning;
- power electronics and converter systems for high-efficiency drives;
- condition monitoring, fault detection and predictive maintenance;
- digital twins, multi-domain modeling and system-level simulation of electromechanical systems;
- integration of electrical machines in renewable energy systems, electric vehicles, robotics and industrial automation;
- interaction of electrical machines with the power grid, particularly in the context of the ongoing energy transition;
- strategies for improving energy efficiency and promoting sustainable development in electromechanical systems.
We warmly invite you to submit your manuscripts.
Prof. Dr. Sebastian Różowicz
Dr. Paweł Strączyński
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. 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
- electric machines
- energy efficiency
- intelligent control
- power electronics
- artificial intelligence
- predictive maintenance
- optimization
- FEM
- renewable energy systems
- electric drives
- electromechanical systems
- industrial automation
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