Abstract

In this paper, the magnetization and loss properties are analyzed and compared of topical magnetic materials. The calculation methods are studied for the losses of the core and windings of the High Frequency Transformer (HFT). Based on the evaluation of the temperature increment, an optimization method is presented for the design of HFT. Finally, the losses of a test model of HFT is calculated and the results are compared with those tested.

Highlights

  • In power electronic devices, such as DC/DC converter and solid state transformer, the operational frequencies of the transformers are chosen from several hundred Hz to several tens kHz in order to decrease their volumes and weights

  • The losses of soft magnetic material can usually be divided in three parts: eddy current loss, hysteresis loss and excess loss [1]

  • The losses of windings of high frequency transformer are related with the operation frequency, and the coefficient of alternative current resistance is used to reflect the skin effect and the proximity effect [3]

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Summary

Introduction

In power electronic devices, such as DC/DC converter and solid state transformer, the operational frequencies of the transformers are chosen from several hundred Hz to several tens kHz in order to decrease their volumes and weights. This kind of transformers is called as High Frequency Transformer (HFT). The losses of windings of high frequency transformer are related with the operation frequency, and the coefficient of alternative current resistance is used to reflect the skin effect and the proximity effect [3]. The calculation methods of the losses of the core and windings of the HFT are analyzed. The losses of a test model of HFT is calculated and the results are compared with those tested

Silicon Steel Sheets
Amorphous Alloys
Nanocrystalline Alloys
Soft Ferrites
Optimized Magnetic Material for High Frequency Transformer
Loss of Magnetic Core
Losses of the Windings
A Model of High Frequency Transformer
Optimization Design of High Frequency Transformer
Conclusions

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