MagNetX: Data-Driven Time-Domain Foundation Models for Power Magnetics in Transient

This article presents and applies the concept of time-domain foundation models (FMs) to analyzing nonlinear soft ferrite material under transient excitations. Key principles of a time-domain foundational model are defined and elaborated. A neural network (NN)-based FM is implemented to characterize different materials under a wide range of transient excitations. The model is backed by MagNetX - a new extension of the MagNet database, which includes extensive measurement data of quasi-steady-state pulsewidth modulation waveforms with minor loop excitations. Different from traditional NNs that implement NNs as datasheets, the FM utilizes time-domain arbitrary length memory from the B-H excitations and predicts arbitrary future steps based on the respective input. The FM is simple, robust, and flexible, and precisely characterizes the material B-H characteristics during transients.