Research on the Prediction Method of Conducted Interference in Flyback Converters based on the High-frequency Transformer Model

• Published in: Applied Computational Electromagnetics Society journal Vol. 39; no. 1; pp. 81 - 90
• Main Authors: Zhou, Mengxia, Cheng, Bin, Liu, Jianben, Pei, Yakang, Yao, Ruining, Liu, Yan, Li, Feng
• Format: Journal Article
• Language: English
• Published: Pisa River Publishers 01.01.2024
• Subjects: Algorithms; Copper; Design; Electricity distribution; Electromagnetic interference; Inductance; Magnetic fields; Simulation; Switched mode power supplies; Topology; Transformers
• ISSN: 1054-4887; 1943-5711; 1943-5711
• DOI: 10.13052/2024.ACES.J.390110

Conducted electromagnetic interference (EMI) has always been a challenge for designers of switched-mode power supplies. Flyback converters are used in various applications. However, as the switching frequency of these converters increases, the issue of electromagnetic interference becomes progressively more severe. In light of this, this paper presents a predictive method for conducted interference in flyback converters, based on a high-frequency transformer model. A high-frequency transformer model topology is proposed, integrating traditional inductance models with a three-capacitor model. Subsequently, a self-organizing migrating algorithm (SOMA) is employed for the extraction of parameters from the high-frequency transformer model, and a high-frequency model is established for a transformer. Finally, the high-frequency model is applied to the prediction of conducted interference in flyback converters. The results demonstrate that the proposed predictive method can effectively forecast the actual conducted interference, thereby providing a reference for suppression of conducted electromagnetic interference.