A New Method to Predict Hysteresis and Loss Characteristics of Grain Oriented Silicon Steel Sheet Under AC-DC Hybrid Excitation

Based on two Everett functions, a method for identifying asymmetric hysteresis loops is proposed. Besides, the statistical parameter $V_{\mathrm{0}}$ is extracted from the excess loss under single-frequency sinusoidal and DC hybrid excitation. The extracted $V_{\mathrm{0}}$ are used by neural network algorithm to fit the $V_{\mathrm{0}}$ suitable for complex excitation. An improved calculation method of excess loss is used to calculate the iron loss of grain oriented silicon steel sheet. Combined with Preisach model and eddy loss calculation formula, the hysteresis and loss characteristics of grain oriented silicon steel sheet under AC-DC hybrid excitation are predicted. The predicted dynamic hysteresis loops and losses under various working conditions are compared with the measured ones, which verifies the accuracy and generality of the improved method proposed in this paper.