Advanced Modeling, Control, and System Design for Next-Generation Electrical Drives

Dear Colleagues,

The Guest Editor is inviting submissions either in the form of research articles or review articles to a Special Issue of Energies titled ‘Advanced Modeling, Control, and System Design for Next-Generation Electrical Drives’.

Electrical drives are the cornerstone of modern industrial automation, clean transportation, and renewable energy systems, consuming nearly two-thirds of global electricity. The ongoing global energy transition and the imperative for carbon neutrality are pushing electrical drives technology toward unprecedented levels of efficiency, intelligence, and integration. This evolution demands a paradigm shift beyond traditional modeling and control methods.

The path forward is fraught with challenges, including managing the high-nonlinearity and complex dynamics of motors under varying loads, the need for real-time adaptability in control systems, and the seamless integration of drives with broader systems such as airplanes and electric vehicles. Furthermore, the increasing penetration of renewable energy sources introduces new uncertainties for system frequency stability, placing higher demands on the robustness and intelligence of drive systems.

This Special Issue aims to collate cutting-edge research that addresses these challenges through the fusion of advanced approaches such as AI, advanced control theories, and system-level thinking. We  would like to address these challenges with advanced modeling,  control, and system design for next-generation electrical drives, including optimization models, algorithms and methods/strategies, and system design methods. Our goal is to advance the field, enabling significant energy savings and supporting the global transition to a sustainable energy future.

Topics of interest for publication include, but are not limited to, the following:

• Electrical drives for electric vehicles, electric aircraft, and wind energy conversion systems;
• Advanced topologies of electrical drives;
• Fault-tolerant design and prognostic health management;
• AI and Machine Learning for electrical drives;
• Model-based control and design;
• Integration with renewable energy systems;
• Wide-Bandgap (WBG) semiconductor applications in drives;
• Cyber-physical security and the resilience of drive systems;
• Multi-motor and cooperative drive systems;
• High-fidelity modeling and multi-domain simulations;
• Life cycle assessment and sustainability of drive systems;
• Optimization methodologies of electrical drives;
• Advanced novel PWM, sensorless, and vector and direct torque control techniques.

Dr. Ping Liu
Dr. Jiangtao Yang
Dr. Chao Du
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.