Power Inductor Design Optimization with Data-Driven Magnetic Loss Models

The paper deals with the design of inductors for DC-DC converters, focusing on the multi-criteria problem of core dimension and power loss minimization. Proper models of the magnetic power losses are required to obtain accurate results, considering the diversity of the inductor operating conditions in terms of switching frequency, magnetic flux density, duty cycles, and DC bias fields. To this end, adopting data-driven methodologies helps to achieve accurate and fast models suitable for different magnetic core materials that are feasible for their use in an optimized inductor design procedure.