This article presents the MagNet-AI platform as an online platform to demonstrate the “neural
network as datasheet” concept for–loop modeling and material recommendation of power …

This paper surveys nonlinear inductance models for saturating ferrite-core inductors working
in switch-mode power supplies (SMPSs). The use of saturating inductors allows for SMPS …

Switch‐mode power supplies (SMPSs) are widely exploited to interface electrical energy
sources to motors and other electrical loads. Inductors are usually the biggest and heaviest …

In power supplies, inductors operating in partial magnetic saturation are increasingly
exploited, to increase power density and efficiency. The design and simulation of converters …

Highlights Purpose of the paper: to compare two analytical models of non-linear power
inductor to be employed in an SMPS in the same test conditions. Methodology: the models …

In this paper, we propose a method for the identification of the differential inductance of
saturable ferrite inductors adopted in DC–DC converters, considering the influence of the …

In this paper, a model for nonlinear ferrite power inductors based on the α Net neural
network is proposed. The model is able to reproduce the ferrite power inductors inductor …

In this paper, the start-up response of a digitally controlled dc-dc boost converter with a
constant power load is studied. A mathematical expression of the system response during …

One large-current high-power full-bridge DC-DC converter is often used to cater several
multi-characteristic welding loads. The load could be a welding arc or a conductive molten …

This paper revisits the behavioral modeling of inductors used for Switch-Mode Power Supply
(SMPS) design. A novel unified behavioral modeling for power inductors is herein proposed …