Construction of generic core loss prediction model based on APSO algorithm

Aiming at the current problem of insufficient core loss prediction accuracy of magnetic components under complex operating conditions, this paper firstly constructs the temperature-dependent Steinmetz equation TDSE by introducing the temperature factor on the basis of the original Steinmetz equation, and further constructs the TDSE<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</inf> and TDSE<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">a</inf> models by multiplication and addition, and verifies experimentally that the temperature is more The TDSE models are further constructed by multiplication and addition. Then the TDMSE model is constructed on the basis of the TDSE model to adapt to different waveform excitations. In order to improve the applicability of the model, the iTDMSE core loss prediction model is constructed on the basis of the TDMSE model by introducing dummy variables to introduce the material and excitation waveform categories into the model, and finally the iTDMSE core loss prediction model is constructed that can span different material types and operating environment conditions. Finally, the APSO algorithm is used to find the optimal combination of variable parameters, and the experiments show that the model guarantees the high accuracy of core loss prediction on the basis of strong generalization.