Next-Generation Electric Machines: Design, Control, and Fault Diagnosis

Dear Colleagues, 

The rapid electrification of transportation, industry, and renewable energy systems is driving unprecedented advances in electric machine technology. Next-generation electric machines must meet increasingly stringent efficiency, reliability, power density, cost, and sustainability requirements. This calls for the use of innovative approaches across the entire machine development lifecycle, in areas from conceptual design and advanced materials to control strategies and fault-tolerant operation.

This Special Issue aims to bring together cutting-edge research that addresses the design, modeling, control, and condition monitoring of emerging electric machine technologies. The topics of interest include, but are not limited to, the following:

• Novel topologies and advanced electromagnetic/thermal designs.
• The use of new materials, including wide-bandgap devices and magnetic composites.
• Digital twin approaches and high-fidelity multiphysics modeling.
• Intelligent control strategies, including model predictive control, AI-driven optimization, and energy management.
• Fault detection, diagnosis, and prognosis methods for enhanced reliability.
• The integration of electric machines in electrified transport, renewable energy, and industrial applications.

By covering both theoretical advancements and practical applications, this Special Issue seeks to provide a comprehensive perspective on the state of the art and future trends in electric machine research. Contributions are expected to include innovative methodologies, experimental validation, and cross-disciplinary insights that can accelerate the transition toward more sustainable and resilient electrical systems.

Dr. Yannis L. Karnavas
Guest Editor

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