Fast and Accurate Iron Loss Evaluation Using Static FEA for Traction PMSMs

This paper delves into the accurate evaluation of iron loss in permanent magnet synchronous machines, with special emphasis on traction applications. First, iron loss models from the literature are comparatively assessed based on the criteria of their effectiveness and accessibility in terms of required steel data. The primary challenges associated with iron loss modelling through finite-element analysis are outlined; namely, they are the detection of minor and major hysteresis loops, with appropriate accounting of DC flux density bias, mechanical stress and PWM supply effects. In the second part of the paper, the novel approach called Augmented iGSE is introduced, inspired to the improved Generalized Steinmetz's Equation. This model is obtained by combining the strengths of the best models found in the literature. Also, solutions for time minimization are exposed. The outcome is an iron loss model that excels in its ability to comprehensively model every relevant phenomenon by using a simple magnetostatic solver and a set of iron data based on common measurements provided by electrical steel manufacturers.