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Reliability Prediction for Inverters in Hybrid Electrical Vehicles

机译:混合动力汽车逆变器的可靠性预测

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Due to the increasing importance of power electronic components in automobiles, it becomes necessary to consider their reliability. This applies especially to hybrid electrical vehicles (HEV) where a malfunction of the power electronics may prevent the vehicle to operate. Of paramount importance for the reliability of power electronics is the component operating temperature and temperature cycling. This paper deals with the development of an advanced simulation tool which is capable of determining the component temperature of a three-phase converter over long mission profiles. In addition, the expected converter reliability is calculated. To accomplish this, losses in the semiconductors and dc-link capacitors are determined first. Next, this loss data is fed into a thermal model to compute the component temperatures, for the whole mission profile. As basis for the reliability computation, failure-rate catalogs, such as Military Handbook 217F or RDF 2000, are used. Also an approach using simple formulas for lifetime prediction is presented. According to failure-rate catalogs, temperature cycles are of particular importance for the reliability of power semiconductors. A novel algorithm, detecting all relevant temperature cycles within the computed temperature curve is developed. Finally, the applicability and significance of the presented reliability prediction methods is assessed.
机译:由于汽车中的电力电子组件的重要性日益增加,因此有必要考虑其可靠性。这尤其适用于混合动力电动汽车(HEV),其中电力电子设备的故障可能会阻止车辆运行。对于电力电子设备的可靠性而言,最重要的是组件的工作温度和温度循环。本文涉及高级仿真工具的开发,该工具能够确定长任务范围内的三相转换器的组件温度。另外,计算出预期的转换器可靠性。为此,首先确定半导体和直流链路电容器中的损耗。接下来,将该损失数据输入到热模型中,以计算整个任务曲线的组件温度。作为可靠性计算的基础,使用了诸如军用手册217F或RDF 2000之类的故障率目录。还提出了一种使用简单公式进行寿命预测的方法。根据故障率目录,温度循环对于功率半导体的可靠性尤为重要。开发了一种新颖的算法,可以检测计算出的温度曲线内的所有相关温度循环。最后,评估了所提出的可靠性预测方法的适用性和意义。

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