在 IGBT 模块中在线识别掉落的结合线
1College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Micromachines
|March 28, 2024
概括
本研究介绍了一种在线模型,用于识别绝缘门双极晶体管 (IGBT) 模块中掉落的联接线的数量. 该方法有助于通过分析电压,温度和电流数据来评估IGBT在运行期间的健康状况.
科学领域:
- 电力电子 电力电子 电力电子
- 半导体设备物理 半导体设备物理
- 可靠性工程可靠性工程
背景情况:
- 绝缘门双极晶体管 (IGBT) 模块在功率转换系统中至关重要.
- 这些模块容易受到热损伤和疲劳故障,粘接线脱离是常见的故障模式.
- 准确评估掉落的结合电线对于评估IGBT模块健康状况至关重要.
研究的目的:
- 提出并验证在线识别模型,用于在正常运行过程中识别IGBT模块中掉落的连接线的数量.
- 建立IGBT模块实时健康监测的方法.
主要方法:
- 为了建立一个Vce,on-Tj-IC (采集器-发射器在状态电压-芯片连接点温度-采集器电流) 平面的数据库,进行了离线老化测试,对应于不同数量的掉落的结合线.
- 采用福斯特网络模型和专用电路,分别测量了连接点温度 (Tj) 和采集器发射器状态电压 (Vce,on).
- 来自Vce,on,Tj和IC的特征点被映射到数据平面上,以确定掉落的结合线的数量.
主要成果:
- 拟议的模型成功地根据Vce,on-Tj-IC数据平面中的特征点的位置确定了掉落的纽带线的数量.
- 实验验证证在操作条件下证实了该方法的有效性.
- 在线识别模型展示了其实时确定债券线路失败的能力.
结论:
- 开发的在线识别模型提供了一种有效的手段,通过量化掉落的纽带线来评估IGBT模块的健康状况.
- 这种方法可以进行主动维护,并提高功率转换系统的可靠性.
- 该方法为在线监控IGBT模块完整性的实用解决方案.
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