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Experimental calibration in thermal analysis of PM electrical machines

机译:永磁电机热分析中的实验校准

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Thermal design of electric machines frequently involves tests on a fully constructed prototype to calibrate various build factors associated with the manufacture, assembly and materials used in the hardware construction. The prototype machine is usually instrumented with multiple temperature sensors providing a detailed insight into the temperature distribution. The resolution of the experimentally gathered data is usually limited by the number of temperature sensors, and therefore the quality of model calibration is highly affected by the input data. This paper investigates the issue of thermal model calibration in the context of available machine hardware and measured data resolution. Also, the research evaluates the most suitable thermocouple location with reference to the model complexity, from reduced-order lumped-parameters circuit to high-fidelity finite element method (FEM). The investigation is focused on the stator-winding assembly, which is frequently associated with the main source of power loss within a PM machine body. A prototype of a PM generator has been selected to illustrate the effects associated with the model calibration. Tests on a representative stator-winding sub-assembly (motorette) have been used in the analysis. The results suggest that the measured data from alternative sensor locations for a given machine region has a significant impact on the quality of the model calibration and consequently temperature predictions.
机译:电机的热设计经常涉及对完全构造的原型进行测试,以校准与硬件构造中使用的制造,组装和材料相关的各种构造因素。原型机通常装有多个温度传感器,以提供对温度分布的详细了解。通过实验收集的数据的分辨率通常受温度传感器的数量限制,因此模型校准的质量受输入数据的影响很大。本文在可用的机器硬件和测得的数据分辨率的背景下研究了热模型校准的问题。此外,该研究还参考模型的复杂性,从降阶集总参数电路到高保真有限元方法(FEM),评估了最合适的热电偶位置。研究集中在定子绕组组件上,该组件通常与PM机体内的主要功率损耗源有关。已选择PM发生器的原型来说明与模型校准相关的效果。分析中使用了具有代表性的定子绕组子组件(马达)的测试。结果表明,对于给定的机器区域,来自替代传感器位置的测量数据对模型校准的质量以及因此的温度预测有重大影响。

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