Thermal behavior estimation of the power switches with an empirical formulation optimized by Artificial Bee Colony algorithm

WOS:000710181000003Temperature rise and thermal management in power electronic circuits is a very important issue both electrically and in terms of more compact circuit design. Considering the non-linear temperature rise in the power switches, it is necessary to accurately estimate the temperature rise before the circuit can be experimentally executed. In this study, the temperature rise values in the switching elements for the different current, switching frequency, and duty ratio values of a DC-DC boost converter circuit are analyzed parametrically with ANSYS-Twin Builder software and a total of 715 data are obtained. Based on these data obtained, the temperature rise that occurs during the operation of the power switches in different parameters can be predicted and can be predicted accurately and quickly with a mathematical expression in order to effectively provide the cooling system and thermal management of the power electronics circuit. The proposed expression has eight parameters that need to be optimized. In optimization of these parameters, the Artificial Bee Colony algorithm is used. The Mean Absolute Error is used as the performance indicator. The temperature rise values are calculated via the optimized expression with 0.7446 °C error. Thus, the accuracy of expression is about 95.17%