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Winding Loss Separation in Thermal Analysis of Electromagnetic Devices

机译:电磁设备热分析中的绕组损耗分离

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摘要

This paper investigates various winding loss separation approaches applicable to the thermal analysis of electrical machines, transformers and wound passive components. The accurate temperature prediction and identification of hot-spots within such electromagnetic devices is strongly dependent on the absolute power loss data as well as the loss distribution within the subassemblies or regions of the device. The losses within a device are often defined as the average loss over a particular region, for example, the winding loss, core loss or magnet loss. However, such a loss definition might not yield the required fidelity or resolution, particularly if localised power loss such as ac winding loss is present during device operation. To account for the inhomogeneous winding loss, a more detailed loss separation is required. In this paper, the winding subassembly is subdivided into a number of sub-regions accounting for both the active length and end-winding. Three-dimensional (3D) electromagnetic and thermal analyses are employed to give insight into the effect of the loss definitionon the accuracy and validity of the temperature prediction. A hardware exemplar representative of a single-layer open-slot stator/winding subassembly has been selected for the analysis. The results suggests that detailed loss separation provides improved accuracy of the temperature predictions and hotspots identification when compared with the more common averaged loss definition. The theoretical findings have been validated with experimental data showing close correlation.
机译:本文研究了适用于电机,变压器和绕制的无源元件的热分析的各种绕组损耗分离方法。这种电磁设备中热点的准确温度预测和识别在很大程度上取决于绝对功率损耗数据以及设备子组件或区域内的损耗分布。器件内的损耗通常定义为特定区域的平均损耗,例如绕组损耗,铁芯损耗或磁体损耗。但是,这种损耗定义可能不会产生所需的保真度或分辨率,尤其是如果在设备运行期间出现局部功率损耗(例如交流绕组损耗)的情况下。为了解决不均匀的绕组损耗,需要更详细的损耗分离。在本文中,将绕组子组件细分为多个子区域,这些子区域同时考虑了有效长度和端部绕组。使用三维(3D)电磁和热分析来深入了解损耗定义对温度预测的准确性和有效性的影响。已选择代表单层开槽定子/绕组子组件的硬件示例进行分析。结果表明,与更常见的平均损耗定义相比,详细的损耗分离可提高温度预测和热点识别的准确性。理论发现已与显示密切相关的实验数据进行了验证。

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    Wrobel Rafal; Simpson Nick;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 eng
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