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功率半导体器件寿命试验的统计分析与寿命预测
Statistical Analysis of Power Semiconductor Devices Lifetime Test and Lifetime Prediction
| 作者 | Xia Zhou · Zhicheng Xin · Zan Wu · Kuang Sheng |
| 期刊 | IEEE Journal of Emerging and Selected Topics in Power Electronics |
| 出版日期 | 2024年11月 |
| 技术分类 | 电动汽车驱动 |
| 技术标签 | SiC器件 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 功率半导体器件 功率循环测试 寿命预测模型 封装技术 寿命模型拟合 |
语言:
中文摘要
功率半导体器件是电力电子系统的核心部件,也是最脆弱的部分。本文收集了2010年以来硅(Si)和碳化硅(SiC)功率半导体器件的功率循环试验(PCT)数据,分析了不同封装技术、测试方法、产品类型及制造商等因素对器件寿命的影响。将功率半导体模块分为三类:采用铝线键合和焊料的常规模块、单一改进型(焊料或键合线改进)和双重改进型(焊料与键合线均改进)模块,并分别拟合其寿命模型。结果表明,所拟合的寿命预测公式具有较高精度,预测寿命与实验数据的平均比值为1.4–2.8倍。
English Abstract
Power semiconductor devices are the core components of power electronic systems and the most fragile part. Power cycling tests (PCTs) and lifetime prediction models are the two main means to obtain the lifetime of semiconductor power devices. This article collected PCT data on silicon (Si) and Si carbide (SiC) semiconductor devices from 2010 to the present. The impacts of different packaging technologies, testing methods, product types, manufacturers, etc. on the lifetime of semiconductor devices are discussed and analyzed. In addition, semiconductor power devices were clarified into three types, normal modules with aluminum (Al) bonding wires and solders, single-improved modules with solder improvement or bonding wire improvement, and double-improved modules with both solder improvement and bonding wire improvement. The lifetime model for each type was fit. Results showed that the fit lifetime prediction formula had high accuracy, with an average multiple of 1.4–2.8 times for the predicted lifetime with the experimental data.
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SunView 深度解读
该功率半导体寿命预测技术对阳光电源全产品线具有重要价值。针对ST储能变流器和SG光伏逆变器,可基于不同封装技术(常规/单一改进/双重改进)的寿命模型,优化SiC/Si IGBT模块选型,提升系统25年全生命周期可靠性。对电动汽车OBC和电机驱动产品,功率循环试验数据可指导SiC器件在高温高频工况下的降额设计。研究揭示的焊料层和键合线失效机理,可应用于PowerTitan储能系统的预测性维护算法,通过iSolarCloud平台实时监测结温波动,提前预警器件失效风险,降低运维成本。1.4-2.8倍的预测精度为产品质保策略提供量化依据。