A Dynamic Hysteresis Prediction Model of Ultra-Thin GO Silicon Steel Under Multi-Harmonic Excitation

The main work of this paper is to propose a dynamic hysteresis model to predict magnetic hysteresis characteristics for ultra-thin grain-oriented (GO) silicon steel under multi-harmonic excitation. First, the non-linear magnetization property of silicon steel is taken into consideration. Based on segmentation linear approximation, a new expression of eddy current field is obtained regarding unsaturated and saturated magnetization state, and the expression of excess field is improved by segmented statistical parameter <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub>. Furthermore, a dynamic model for predicting hysteresis characteristics under multi-harmonic excitation is proposed. Simulated and predicted results are compared with the measured one, and the accuracy of the proposed model is verified.