Grant: Alliance Grants

In this research project, we aim to develop next-generation electrical drive system (EDS) simulation tools thatare more accurate, more user-friendly, less time-consuming, and have more powerful optimizing capabilities. Asmart library of electrical machines will be established, which will artfully categorize all the major machinetopologies into several general forms that allow flexible adjustment of the winding connections and thegeometric parameters of the stator, the rotor, and the permanent magnets (PM). This library will includetemplates of radial-flux electrical machines, axial-flux electrical machines, magnetic gears, and linear electricalmachines, which will provide a straightforward solution for the geometric modeling of various electricalmachines and make it easier for users to develop electrical machine models with complex structures. Based onthis library, the templates in the existing radial-flux motor wizard of EMWorks will be greatly enriched, andnew axial-flux motor wizard, magnetic gear wizard and linear motor wizard will be developed. These newlydeveloped software packages will significantly increase the advantages of EMWorks over its competitors thatusually only have templates of traditional radial-flux motors. Another important part of this research project isto establish fast and accurate analytical models, with a full consideration of the nonlinear characteristics causedby saturation. These models will be used to simulate torque, power, efficiency, electromagnetic force, andthermal distribution of potential electrical machines. Since the existing electromagnetic solvers are mainlybased on time-consuming finite element method (FEM), fast analytical methods will be gamechangers in thefield of electromagnetic simulation. New multi-physics and system-level optimization tools will also bedeveloped through the use of machine learning (ML) technologies to improve the optimization efficiency andaccuracy.