Measuring, modeling and predicting magnetic core loss is vital for the design of next generation of compact and efficient magnetics. The majority of the research in this area is focused on fitting measured core loss data to an equation or using neural networks to predict core loss at arbitrary operating points within the measured dataset. The flux density and core loss density are calculated from the equivalent magnetic dimensions of the core under test. The magnetic dimensions are determined using standardized equations. However, these equations don’t always consider the type of magnetic material used or the level of flux excitation. These parameters can greatly influence the flux distribution in the material, impacting the loss distribution. In this work physically accurate magnetic dimensions are derived for toroid cores considering the impact of material type and drive level. The use of more accurate magnetic dimension will improve the accuracy of core loss measurements and make the data more readily applicable to other core shapes and sizes.
