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New Fault Detection Method for Interturn Short Circuit on Stator Winding of IPMSM for Highly Automated Driving Applications

机译:高度自动化驾驶应用中IPMSM定子绕组匝间短路新故障检测方法

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In highly automated electric vehicles, the reliability of electrical powertrain system is much more important, because there may be no driver available. In case of a critical failure in the electrical machine, the vehicle may breakdown on an active traffic lane and the safety of passengers cannot be ensured. To avoid these dangerous situations, these failures should be detected at an early stage. This paper focuses on a common failure, interturn short-circuit failure, in a stator winding of an interior permanent magnet synchronous machine (IPMSM). A mathematical model of IPMSM in normal and failure case is presented. Then, four failure-sensitive machine properties are chosen as detection indicators. A sensitivity analysis is given to illustrate their dependencies on fault severities and operating points. According to the result, the best operating point for the detection is found and a test route is designed to validate the effectiveness of this concept.
机译:在高度自动化的电动汽车中,电动动力总成系统的可靠性更为重要,因为可能没有可用的驾驶员。如果电机发生严重故障,则车辆可能会在活跃的行车道上发生故障,无法确保乘客的安全。为避免这些危险情况,应及早发现这些故障。本文重点研究内部永磁同步电机(IPMSM)的定子绕组中的常见故障,即匝间短路故障。提出了正常和故障情况下IPMSM的数学模型。然后,选择四个故障敏感的机器属性作为检测指标。给出了敏感性分析,以说明它们对故障严重程度和工作点的依赖性。根据结果​​,找到用于检测的最​​佳工作点,并设计测试路径以验证此概念的有效性。

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