This paper presents one-dimensional dynamic magnetization models of non-oriented soft magnetic steel sheets (SMSSs) that can be expressed as simple systems of ordinary differential equations. The discussed models take into account the dynamic effects on magnetization due to eddy currents and hysteresis inside such sheets, and differ in the way the coupled Maxwell equations with hysteresis are solved. The presented modeling approaches include finite-difference schemes of different accuracies, various magnetic equivalent circuits (MECs) including a recent approach to eliminating the deficiencies of classical MECs, and a mesh-free approach. The different modeling approaches are analyzed and compared in terms of mathematical structure, implementation work, spatial discretization and accuracy, where both voltage- and current-driven versions are investigated.
COBISS.SI-ID: 19374614
This paper deals with the analysis of a 1-D magneto-dynamic model (MDM) of soft magnetic steel sheets (SMSSs) under arbitrary excitation conditions. In the presented analysis, the MDM is coupled with the static hysteresis model proposed by Tellinen. The coupled model of SMSSs is evaluated using measured excitation voltages as well as measured excitation currents directly as the model input variables, where both excitation cases are compared and evaluated versus measurements. The calculated results show a good agreement with the measurements. Based on the presented analysis properties, advantages, and flexibility of the MDM model as well as the limitations of the presented coupled model are pointed out, where guidelines for an improved coupling are also given.
COBISS.SI-ID: 18413334
This paper compares two different identification methods of a static rate- independent energy-based hysteresis model with regard to the dynamic hysteresis loop shape prediction when coupled to the parametric magneto-dynamic lamination model. The values of hysteresis model parameters are determined solely based on the quasi-static major loop. A semi-physical approach identifying the reversible and irreversible field components independently and a purely-mathematical using a differential evolution optimization algorithm determining all parameters simultaneously are compared. Both variants of parameter identification are analyzed in terms of hysteresis loop shape prediction for quasi-static as well as dynamic loops.
COBISS.SI-ID: 19526934