3 papers
eess.SY2026
RHINO-MAG: Recursive H-Field Inference based on Observed Magnetic Flux under Dynamic Excitation
Hendrik Vater, Oliver Schweins, Lukas Hölsch +3
Driven by the MagNet Challenge 2025 (MC2), increased research interest is directed towards modeling transient magnetic fields within ferrite material. An accurate time-resolved and…
eess.SY2026
A Power Electronic Converter Control Framework Based on Graph Neural Networks -- An Early Proof-of-Concept
Darius Jakobeit, Oliver Wallscheid
Power electronic converter control is typically tuned per topology, limiting transfer across heterogeneous designs. This letter proposes a topology-agnostic meta-control framework…
eess.SY2024
HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores
Wilhelm Kirchgässner, Nikolas Förster, Till Piepenbrock +2
The MagNet Challenge 2023 calls upon competitors to develop data-driven models for the material-specific, waveform-agnostic estimation of steady-state power losses in toroidal ferr…