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键合线退化对分立式IGBT功率循环过程中释放的开关应力波影响的研究
Investigation of the Effect of Bonding Wires Degradation on Switching Stress Waves Released During Power Cycling in Discrete IGBT
| 作者 | Xuefeng Geng · Yunze He · Longhai Tang · Shan Chang · Jie Zhang · Wenxue Yang |
| 期刊 | IEEE Journal of Emerging and Selected Topics in Power Electronics |
| 出版日期 | 2025年1月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 IGBT |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 绝缘栅双极晶体管 开关应力波 键合线 状态监测 声发射检测技术 |
语言:
中文摘要
有效的状态监测技术对确保绝缘栅双极型晶体管(IGBT)的安全运行至关重要。现有方法多集中于电、热、磁参数的提取。近期研究表明,IGBT在开关瞬间可释放可被声发射(AE)传感器检测到的开关应力波(SSW)。然而,利用SSW监测IGBT健康状态仍具挑战性。本文构建了功率循环与SSW测试平台,研究分立式IGBT在功率循环中键合线退化对SSW的影响。结果表明,随着键合线退化,SSW的时域能量指标和频域重心频率均发生显著变化,揭示了基于AE的IGBT内部键合线状态监测的可行性。
English Abstract
Effective condition monitoring (CM) technology ensures the safe operation of insulated gate bipolar transistors (IGBTs). Most CM methods for IGBTs focus on extracting electrical, thermal, and magnetic parameters. Recent studies indicate that at the switching moment, IGBTs can emit the switching stress wave (SSW) that is detectable by the acoustic emission (AE) sensors. However, using these SSWs to monitor the health status of IGBTs, even for discrete devices with relatively simple package structures, remains challenging. This article investigates how SSWs from discrete IGBTs during power cycling change as bonding wires degrade and whether these waves are promising for monitoring the condition of internal bonding wires. In this work, a power cycle test platform and an SSW test platform for discrete IGBTs are built, and SSWs from discrete IGBTs during power cycling are analyzed. Results show that SSWs vary with the degradation of the device’s bonding wires, with changes in the time domain indicator of signal energy, reflecting SSW strength, and the frequency domain indicator of the center of gravity (COG) frequency, reflecting frequency shifts. These findings suggest the possibility for developing AE-based detection technology (AEDT) in CM of the IGBT.
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SunView 深度解读
该IGBT键合线退化声发射监测技术对阳光电源核心产品具有重要应用价值。在ST系列储能变流器和PowerTitan大型储能系统中,IGBT功率模块是关键失效部件,传统电热参数监测难以实现早期故障预警。该研究提出的开关应力波(SSW)监测方法可集成至阳光电源iSolarCloud智能运维平台,通过AE传感器实时捕捉键合线退化特征,实现预测性维护。该技术同样适用于SG系列光伏逆变器和车载OBC充电机中的IGBT健康管理,可显著提升功率器件可靠性监测水平,降低系统停机风险,为阳光电源构建差异化的智能诊断能力提供新思路。