Modeling, Design and Control of Electric Machines: Volume II

Dear Colleagues,

Electric machines (motors and generators) are key elements for the efficient and sustainable use of energy. The new market trends for the electrification of road vehicles as well as aircraft, the increase in energy efficiency, and the development of various sustainable energy sources require innovations in the design and control of electric machines. New magnetic materials, new drives with SiC and GaN semiconductors, and advanced multiphysics modeling and simulation techniques are some of the enabling technologies required to obtain high-performance, higher-reliability, and cost-effective solutions.

This Topical Collection focuses on innovations in the context of “Modeling, Design, and Control of Electric Machines”.

Topics of interest for this Topical Collection include but are not limited to:

• New topologies of machines;
• Electric machine design and control optimization for new drives based on SiC and GaN semiconductors;
• Electric machine optimization;
• Advanced modeling (electromagnetic, thermal, NVH, mechanical, EMC, insulation, etc.);
• Advanced models for diagnosis;
• Electromagnetic materials, iron losses, additional losses;
• System-level modeling, multidomain automatic analysis tools, co-simulations, etc.;
• New numerical and analytical modeling techniques;
• Optimization techniques;
• Advanced testing (multiphysics performances, standard tests, life accelerated testing, etc.);
• Electric machine design for control;
• Electric machine design for specific applications (electric vehicles, aerospace, wind energy, railway, etc.);
• Electric machine design for manufacturing (tolerances analysis, manufacturing processes, quality control, etc.);
• Electric machine design for maintenance (reliability analysis, robust design, fault modeling, etc.);
• Lifetime estimation, life cycle cost (LCC), life cycle assessment (LCA);
• Enhanced control schemes for AC and DC machine drives;
• New modulation schemes for AC and DC machine drives;
• Sensorless control for machine drives;
• Fault-tolerant control strategies for AC and DC machine drives;
• New adaption techniques to estimate state variables and parameters;
• Offline and online tuning for AC and DC machine drives;
• Online temperature estimators and derating functions (thermal models, electric resistance estimators, hybrid schemas, advanced strategies for dynamic machine derating, etc.);
• Control optimization according to HW constraints (low-cost sensors, computational load optimization, optimized switching frequency pattern, noise immunity, etc.);
• Control optimization for a reduced torque ripple or NVH levels (active compensation, optimal parametrization, etc.);
• Application-oriented drive controls (electric vehicles, aerospace, wind energy, railway, etc.);
• Model-based software development and validation for machine drives (MiL, SiL, PiL, HiL, automated code generation, etc.);
• V-model schemas for the development of electric machines and drives;
• Virtual modeling and validation of electric machines and drives.

Dr. Francisco Javier Poza Lobo
Dr. Larralde Gaizka Almandoz
Dr. Rosillo Gaizka Ugalde
Dr. Christian Rivera
Collection Editors

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