Revista Eletrônica de Potência (Brazilian Journal of Power Electronics)

Palavras Chaves: Perdas magnéticas, Perdas no núcleo, Premagnetização, Steinmetz Equation

Resumo
Este trabalho aborda o estudo e análise do comportamento das perdas no núcleo em materiais High Flux na presença de níveis contínuos de densidade de fluxo magnético, com diferentes valores de pico-a-pico, bem como a influência da frequência e razão cíclica. São apresentadas e discutidas as expressões matemáticas dos modelos analíticos empíricos mais difundidos na literatura (OSE, MSE, IGSE e WSE), em sua versão linear por partes. As perdas magnéticas estimadas pelos modelos analíticos são comparadas aos resultados experimentais, bem como às perdas obtidas fazendo uso de software de análise de elementos finitos (FEA). Foi realizado o mapeamento do uso destes cinco modelos em materiais High Flux, utilizando somente informações dadas pelo fabricante. É realizada uma discussão acerca do uso destes modelos analíticos, sob o ponto de vista de sua acurácia e simplicidade.

Title: COMPARATIVE ANALYSIS BETWEEN ANALYTICAL MODELS FOR CORE LOSS CALCULATION APPLIED TO INDUCTORS WITH PREMAGNETIZATION USING HIGH FLUX MATERIAL

Keywords: Core Losses, Magnetic Losses, Premagnetization, Steinmetz Equation

Abstract
This work addresses the study and analysis of the behavior of core loss on iron powder High Flux materials in the presence of continuous levels of magnetic flux density, with different peak-to-peak values, as well as the influence of frequency and duty cycle. The mathematical expressions for the most widespread analytical empirical models (OSE, MSE, IGSE and WSE) are presented and discussed, in their piece-wise linear form. The magnetic losses estimated by the analytical models are compared to experimental results, as well as the losses obtained making use of a finite element analysis (FEA) software. A mapping of the use of these five models for High Flux materials is performed, making use of manufacturer data only. A discussion is made about the use of these analytical models, in light of their accuracy and simplicity.

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