Compensated Neural Network Training Algorithm with Minimized Training Dataset for Modeling the Switching Transients of SiC MOSFETs

Compensated Neural Network Training Algorithm with Minimized Training Dataset for Modeling the Switching Transients of SiC MOSFETs

Accurate modeling of the switching transients of SiC MOSFETs is essential for overvoltage evaluation, EMI prediction, and other critical applications. Due to the fast switching speed, the switching transients of SiC MOSFETs are highly sensitive to parasitic parameters and nonlinear components, makin...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruwen Wang, Yu Chen, Siyu Tong, Congzhi Cheng, Yong Kang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
SiC MOSFET
analytical model
hybrid model
neural network
artificial intelligence
Online Access:https://www.mdpi.com/1996-1073/17/23/6061
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1996-1073/17/23/6061

Similar Items