This talk presents a methodology to bridge the gap between analytical magnetics models and high-fidelity finite element analysis (FEA) for power electronics applications. Traditional analytical models are fast but often inaccurate, and FEA models are accurate but slow and complex. The session will show how reduced-order models of e-motors and passive magnetics, created using FEA insights, can be integrated into system-level simulations to accelerate design while bridging speed with accuracy for saturation, copper losses (including proximity effects), and core losses. The goal is to offer engineers a more practical and scalable alternative to traditional analytical methods and full FEA workflows, ultimately improving design experience while achieving a maximized simulation fidelity to time ratio.
