Multi-Physics Modeling, Optimization and Control of High-Performance Electric Machines
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machine Design and Theory".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 114
Special Issue Editor
Special Issue Information
Dear Colleagues,
The accelerating transition toward electrified transportation, renewable energy integration, and advanced automation has created a strong demand for electric drives that deliver high efficiency, power density, and reliability. Designing such systems requires comprehensive multi-physics modeling that captures the coupled electromagnetic, thermal, mechanical, and acoustic phenomena, as well as their interaction with power electronics and control algorithms. Advances in numerical simulation, optimization techniques, and digital twins now enable co-design and performance evaluation across domains, paving the way for intelligent, data-driven machine drive systems.
This Special Issue aims to bring together recent developments in multi-physics analysis, design optimization, and the control of electric machines and drives. We welcome contributions on analytical and computational modeling, co-simulation environments, electromagnetic–thermal coupling, vibration and noise mitigation, converter–machine co-design, and advanced control strategies. Papers addressing AI-based optimization, digital twin frameworks, fault-tolerant operation, and integrated power electronics for high-performance applications are especially encouraged.
Dr. Farshid Mahmouditabar
Guest Editor
Manuscript Submission Information
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Keywords
- multi-physics modeling
- electric drives
- design optimization
- power electronics integration
- advanced control
- electromagnetic–thermal coupling
- vibration and noise
- digital twin
- AI-assisted design
- high-efficiency machines
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