A Physics-informed Dynamic Model for Ferrite Magnetics

Date: 21/05/2026
Time: 9:00 am
Presenter: Baoyun Ge
Abstract: (Sponsored by TC 10) Accurate modeling of magnetic behavior under diverse excitation conditions remains a longstanding challenge. To address this need, the MagNet Challenge 2 was established as a benchmark problem to evaluate advanced modeling approaches for magnetic materials. The GT&GM team addresses the challenge using a physics-informed model, which features a small number of parameters and high interpretability. The magnetic flux density B and field strength H are mapped to displacement and force in the mechanical domain. Correspondingly, the nonlinear aspects of magnetic materials, such as saturation, pinning force, and eddy current, are captured via mechanical components, like springs, sliders, and dampers respectively. There is one more type of components that seems not being reported previously and significant in reducing modeling errors. In the mechanical domain, it can be interpreted as inertia. Two possible physical roots are provided and both of them relate to displacement current. The methods of prediction, parameter identification, and testing are reported. Last but not least, the presented model is vectorial, which makes it adaptable for finite element analysis.
Baoyun Ge (Member, IEEE) is an assistant professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology since 2024. He received the B.E. degree from Southeast University, Nanjing, China, in 2012, and the Ph.D. degree from the University of Wisconsin–Madison, Madison, WI, USA, in 2018. He was with the University of Florida as an assistant professor for two years before joining Georgia Tech. His research interests include the guided exploration of novel electric machines and power converters, multiphysics design and modeling, and advanced control algorithms for electric machines. These research themes will help reduce carbon footprint and promote the sustainability of energy conversion systems. Dr. Ge received the First Place Innovation Award in MagNet Challenge 2 in 2026, NSF CAREER Award in 2024, the Harold A. Peterson Distinguished Dissertation Award in 2019, the First Place Paper Award from the IEEE Industry Application Society in 2017.