The ability to predict the properties of magnetic materials in a device is essential toensuring the correct operation and optimization of the design as well as the devicebehavior over a wide range of input frequencies. Typically, development andsimulation of wide-bandwidth models requires detailed, physics-based simulationsthat utilize significant computational resources. Balancing the trade-offs betweenmodel computational overhead and accuracy can be cumbersome, especially when thenonlinear effects of saturation and hysteresis are included in the model.This study focuses on the development of a system for analyzing magnetic devicesin cases where model accuracy and computational intensity must be carefully andeasily balanced by the engineer. A method for adjusting model complexity andcorresponding level of detail while incorporating the nonlinear effects of hysteresis ispresented that builds upon recent work in loss analysis and magnetic equivalent circuit(MEC) modeling. The approach utilizes MEC models in conjunction withlinearization and model-order reduction techniques to process magnetic devices basedon geometry and core type. The validity of steady-state permeability approximationsis also discussed.
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