Multiple Resonance Prediction Through Lumped-Parameter Modeling of Transformers in High-Frequency Applications

The accurate prediction of coupled inductive and capacitive effects in electromagnetic coils is crucial importance many industrial applications, due to the increase operating frequency or voltage levels. In this paper, we propose a light-weight electric circuit model that avoids solving large 3D Maxwell full-wave problem, still able predict not only first resonance but also next few resonances as accurately experimental characterizations would do. resistive, lumped parameters magnetic device are identified by means 2D finite element modelling, then implemented an realises inductive-capacitive coupling. Moreover, parameter identification can be performed at different levels representation coils, from turn-level winding-level, order resolve additional system, keeping computational complexity compatible with design requirements. efficiency method confirmed simulations measurements on high transformer air inductance.