绝缘栅双极晶体管
硅酮
汽车工程
整流器(神经网络)
电气工程
计算机科学
材料科学
工程类
复合材料
电压
人工智能
人工神经网络
随机神经网络
循环神经网络
作者
Fatih Yalçın,Hüseyin Köse,Asuman Savaşçıhabeş
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2025-01-15
卷期号:18 (2): 348-348
被引量:1
摘要
This study presents a novel topology designed to enhance the energy efficiency and quality of IGBT-based high-frequency rectifiers, which are commonly used to supply the high DC power required in industrial applications. In the proposed design, traditional silicon semiconductors are replaced with advanced SiC semiconductors, resulting in reduced switching losses and improved energy quality due to higher frequency switching. The new topology also offers solutions to challenges such as inrush current, reverse energy flow, and high DC output voltage issues typically encountered in IGBT-based rectifiers. The goal is for this topology to maximize efficiency and applicability. The proposed design is simulated in the Simulink environment, with the results presented in the findings section. To highlight the advantages of the new topology, the electrical parameters of the widely used three-phase full-bridge IGBT rectifier topology are employed for comparison.
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