Electrical steel dynamic behavior quantitated by inductance spectroscopy: Toward prediction of magnetic losses

Abstract

Energy conversion is essential to meeting sustainable energy needs. Higher frequencies impart enhanced efficiency. Standard magnetic characterization methods have not been designed for these working conditions, and manufacturers seek alternative solutions.Inductance spectroscopy (IS), which is easy to implement in a production line, relies on impedance measurements during frequency sweeps. IS gives access to dynamic behaviors. Combined with dedicated simulation methods, IS enables parameters that are useful for predicting the hysteresis cycle frequency dependence and the related magnetic losses to be set.We applied IS to oriented grains of electrical steels. We established a correspondence between a lumped model developed to simulate hysteresis cycles and the magnetic version of the Cole–Cole ferroelectric method for IS.We obtained good comparisons with experimental results on large frequency bandwidths for both models and with the same combination of dynamic parameters. We established the uniformity of the dynamic behavior, such as the possibility to characterize this behavior by IS.11GO: oriented grains; ImS: impedance spectroscopy; IS: inductance spectroscopy; RD: rolling direction; STL: statistical theory of losses; TD: transverse direction.