跳到主要导航 跳到搜索 跳到主要内容

DC Power Cycling Test and Lifetime Prediction for SiC MOSFETs

  • Xiaofeng Ding*
  • , Binbin Wang
  • , Yanyong Yang
  • *此作品的通讯作者
  • Jianmushan Laboratory
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The degradation and failure during long-term operation restricts the wide application of silicon carbide metal-oxide-semiconductor field effect transistors (SiC MOSFETs). And accelerated lifetime test (ALT) and lifetime prediction methods are commonly used to estimate and improve the reliability of power devices. However, most of existing ALTs are designed for silicon insulated gate bipolar transistors (Si IGBTs) and the existing lifetime prediction methods have a low accuracy. A DC power cycling topology for SiC MOSFETs is designed in this paper, which can accelerate the aging of multiple devices simultaneously, and the test platform is set up. The on-state drain-source voltage (Vds-on) is selected as an aging precursor and measured on line. Besides, A long short-term memory (LSTM)-based lifetime prediction method is proposed. The change of Vds-on with the aging of SiC MOSFSTs is predicted. And experimental results show that the proposed method has a high prediction accuracy.

源语言英语
主期刊名2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
出版商Institute of Electrical and Electronics Engineers Inc.
4638-4643
页数6
ISBN(电子版)9798350317589
DOI
出版状态已出版 - 2023
活动26th International Conference on Electrical Machines and Systems, ICEMS 2023 - Zhuhai, 中国
期限: 5 11月 20238 11月 2023

出版系列

姓名2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023

会议

会议26th International Conference on Electrical Machines and Systems, ICEMS 2023
国家/地区中国
Zhuhai
时期5/11/238/11/23

指纹

探究 'DC Power Cycling Test and Lifetime Prediction for SiC MOSFETs' 的科研主题。它们共同构成独一无二的指纹。

引用此