Review of Core Power Loss Analysis Using Finite Element Methods

Abstract

There are two principal methods are utilized to estimate the core power loss (CPL) in magnetic components: Empirical equations and hysteresis models. Both approaches need an anterior test or analysis to calculate the CPL. Most of them are based on improved Steinmetz equations. Tests are usually costly or the number of necessary tests is excessive for the component design development. 2D analyses using Finite Element are not good enough for several magnetic components for their lack of symmetries.Non-symmetric magnetic cores are ones of the most common components in transformers and power converters and they don't have symmetries on the magnetic field distribution and only 3D models are competent to take account all the effects and phenomena.

Accelerated material design of Mn-Zn ferrite toroidal core using artificial neural network based surrogate model

“…However, it generally requires a large number of finite-element analyses for fitness evaluation, and thus it leads to a high computational cost to search for the optimal solution. To solve this problem, an artificial neural network (ANN) has been used as the surrogate model, which works much faster than FEM in some previous works [2]- [5].…”