Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine

An electric machine is the main core of electric drives in industrial, transportation, and domestic applications, as well as in traditional and renewable energy generation systems. A pre-experimental evaluation of the electric machine performance for a given application is always based on a mathematical model. The mathematical model accuracy and methodology vary depending on the application requirements. In addition, the methods of optimal design of electric machines significantly facilitate reaching these requirements. Most of the requirements for electrical machine design are in contradiction to each other (reduction in volume or mass, increase in efficiency and power density, etc.). Therefore, finding the optimal design that will achieve all of them can be a massive task due to a large number of varied parameters whose effects on the machine performance and quality of the design are strongly coupled. Therefore, the optimal design methodology of electric machines is always necessary. The reliable and efficient operation of the electrical machine is impossible without precise control. Therefore, the control strategies, state observers, and their mathematical models which help to check the approaches of optimal and efficient control, are important. The main topics of this Special Issue include, but are not limited to:
• Analytical models (electromagnetic, thermal, etc.) of electric machines;
• Numerical models (finite element method, boundary element method, equivalent circuits, etc.)
of electric machines;
• Multi-physics models of electric machines;
• Lifetime modeling of electric machines;
• Losses modeling of electric machines;
• Optimal design methodologies of electric machines;
• Optimization techniques for fast and efficient optimal design of electric machines;
• Optimal control techniques of electric.