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基于外壳温度波形相似性的SiC MOSFET加速功率循环试验在线老化监测
Case Temperature Waveform Similarity-Based Online Aging Monitoring for SiC MOSFETs of Accelerated Power Cycling Tests for DC-SSPCs
| 作者 | Bin Yu · Xingjian Shi · Ze Zhou · Enyao Xiang · Hongyi Gao · Haoze Luo |
| 期刊 | IEEE Journal of Emerging and Selected Topics in Power Electronics |
| 出版日期 | 2024年12月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 储能变流器PCS SiC器件 可靠性分析 故障诊断 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | SiC MOSFET 在线监测 壳温 老化特征参数 直流固态功率控制器 |
语言:
中文摘要
针对直流固态功率控制器(dc-SSPC)中SiC MOSFET的在线状态监测对提升系统可靠性至关重要。传统电参数监测方法需高精度电路与复杂控制系统,易干扰正常运行。本文提出一种基于绝缘温度传感器测量的非电参量——外壳温度,用于在线监测SiC MOSFET老化状态。通过改进的余弦相似性分析温度波形,定义了meacosk与stdcosk两个老化特征参数,可有效追踪器件整体老化趋势,并灵敏反映键合线与焊料层严重老化,无需依赖电参数。实验验证了该方法的有效性,提升了无损、在线监测的实用性,为故障诊断与预测性维护提供支持。
English Abstract
Online condition monitoring of SiC MOSFETs is essential for improving the reliability of solid-state power controllers (dc-SSPC). Traditional monitoring methods based on electrical parameters require the design of highly precise monitoring circuits and complex control systems, to prevent disruptions to the system’s normal operation. This article introduces a nonelectrical, easily measured parameter—the case temperature—as a means of monitoring the aging status of SiC MOSFETs online, using an electrically insulated temperature sensor. Two aging characteristic parameters, meacosk and stdcosk, are proposed based on the improved cosine similarity of the case temperature waveform. These parameters enable effective tracking of overall aging trends of SiC MOSFETs and allow for the detection of severe aging in the bonding wire and the solder layer, without dependence on electrical parameters. This approach enhances the practicality of noninvasive and online monitoring. The effectiveness of the proposed method is validated through experiment results. Ultimately, this conditions monitoring technique supports fault diagnosis and predictive maintenance for dc-SSPCs.
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SunView 深度解读
该基于外壳温度波形相似性的SiC MOSFET在线老化监测技术对阳光电源ST系列储能变流器及SG系列光伏逆变器具有重要应用价值。相比传统电参数监测,该方法采用非侵入式温度传感器,无需高精度电路改造,可直接集成至PowerTitan储能系统的功率模块中,实现SiC器件键合线与焊料层老化的早期预警。meacosk与stdcosk特征参数可嵌入iSolarCloud云平台的智能诊断算法,提升预测性维护能力,降低DC-SSPC等关键保护单元的突发故障风险。该技术为阳光电源构建全生命周期功率器件健康管理体系提供了低成本、高可靠的实施路径,显著增强储能与光伏系统的长期运行稳定性。