基于电致发光高光谱的SiC mosfet结温电流同步传感

Yuting Jin, Shuoyu Ye, Qiang-Ming Wu, Haoze Luo, Wuhua Li, Xiangning He
{"title":"基于电致发光高光谱的SiC mosfet结温电流同步传感","authors":"Yuting Jin, Shuoyu Ye, Qiang-Ming Wu, Haoze Luo, Wuhua Li, Xiangning He","doi":"10.23919/ICPE2023-ECCEAsia54778.2023.10213923","DOIUrl":null,"url":null,"abstract":"The electroluminescence effect of SiC MOSFET is correlated with parameters such as junction temperature and device current, providing a new approach for non-intrusive online device status sensing. However, existing discrete photodiode solutions have encountered bottlenecks with increasing monitoring parameters and decreasing sampling delays. This work proposes a SiC device status monitoring scheme based on the integrated miniature hyperspectral spectrometer. Convolutional smoothing and partial least squares regression are applied to the obtained hyperspectral data sets. The real-time online monitoring of junction temperature and device current is achieved under low signal-to-noise ratios where the device only emits light in the dead time. The synchronous detection errors for temperature and current are only 3.11°C and 0.81A, respectively.","PeriodicalId":151155,"journal":{"name":"2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Junction Temperature and Current Synchronous Sensing for SiC MOSFETs Based on Electroluminescence Hyperspectral\",\"authors\":\"Yuting Jin, Shuoyu Ye, Qiang-Ming Wu, Haoze Luo, Wuhua Li, Xiangning He\",\"doi\":\"10.23919/ICPE2023-ECCEAsia54778.2023.10213923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The electroluminescence effect of SiC MOSFET is correlated with parameters such as junction temperature and device current, providing a new approach for non-intrusive online device status sensing. However, existing discrete photodiode solutions have encountered bottlenecks with increasing monitoring parameters and decreasing sampling delays. This work proposes a SiC device status monitoring scheme based on the integrated miniature hyperspectral spectrometer. Convolutional smoothing and partial least squares regression are applied to the obtained hyperspectral data sets. The real-time online monitoring of junction temperature and device current is achieved under low signal-to-noise ratios where the device only emits light in the dead time. The synchronous detection errors for temperature and current are only 3.11°C and 0.81A, respectively.\",\"PeriodicalId\":151155,\"journal\":{\"name\":\"2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICPE2023-ECCEAsia54778.2023.10213923\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICPE2023-ECCEAsia54778.2023.10213923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

SiC MOSFET的电致发光效应与结温、器件电流等参数相关,为非侵入式在线器件状态检测提供了新的途径。然而,现有的分立光电二极管解决方案遇到了监测参数增加和采样延迟减少的瓶颈。本文提出了一种基于集成微型高光谱光谱仪的SiC器件状态监测方案。对得到的高光谱数据集进行了卷积平滑和偏最小二乘回归。在低信噪比下实现了结温和器件电流的实时在线监测,器件仅在死区发光。温度和电流同步检测误差仅为3.11°C和0.81A。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Junction Temperature and Current Synchronous Sensing for SiC MOSFETs Based on Electroluminescence Hyperspectral
The electroluminescence effect of SiC MOSFET is correlated with parameters such as junction temperature and device current, providing a new approach for non-intrusive online device status sensing. However, existing discrete photodiode solutions have encountered bottlenecks with increasing monitoring parameters and decreasing sampling delays. This work proposes a SiC device status monitoring scheme based on the integrated miniature hyperspectral spectrometer. Convolutional smoothing and partial least squares regression are applied to the obtained hyperspectral data sets. The real-time online monitoring of junction temperature and device current is achieved under low signal-to-noise ratios where the device only emits light in the dead time. The synchronous detection errors for temperature and current are only 3.11°C and 0.81A, respectively.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Identification of Common Mode Noise Current Path in a SiC Power Module Near Unity Power Factor Using Non-inverting Boost-Buck Converter with Programmed PWM Neutral-Point Voltage Regulation of Three-Level Neutral-Point Clamped Converter for LVDC Power Distribution Application Analysis of Overcurrent Protection for Topology Morphing LLC Converters by Diode Clamping applicable to EV chargers Statistical Post-Processing in Ensemble Learning-based State of Health Estimation for Lithium-Ion Batteries
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1