Validation and Parametric Investigations Using a Lumped Thermal Parameter Model of an Internal Permanent Magnet Motor

Sebastien Sequeira, K. Bennion, J. Cousineau, S. Narumanchi, G. Moreno, Satish Kumar, Y. Joshi
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引用次数: 4

Abstract

One of the key challenges for the electric vehicle industry is to develop high-power-density electric motors. Achieving higher power density requires efficient heat removal from inside the motor. In order to improve thermal management, a multi-physics modeling framework that is able to accurately predict the behavior of the motor, while being computationally efficient, is essential. This paper first presents a detailed validation of a Lumped Parameter Thermal Network (LPTN) model of an Internal Permanent Magnet (IPM) synchronous motor within the commercially available Motor-CAD® modeling environment. The IPM motor’s stator is studied at steady state, and winding losses are generated by a constant DC current. The validation is based on temperature comparison with experimental data and with more detailed Finite Element Analysis (FEA). All critical input parameters of the LPTN are considered in detail for each layer of the stator, especially the contact resistances between the impregnation, liner, laminations and housing. Finally, a sensitivity analysis for each of the critical input parameters is provided. A maximum difference of 4% — for the highest temperature in the slot windings and the end windings — was found between the LPTN and the experimental data. Comparing the results from the LPTN and the FEA model, the maximum difference was 2% for the highest temperature in the slot windings and end windings. As for the LTPN sensitivity analysis, the thermal parameter with the highest sensitivity was found to be the liner-to-lamination contact resistance. The latter is often ignored in the literature, whereas its impact on temperature rise was found to be more significant than any other contact resistance within the stator.
基于内置永磁电机集总热参数模型的验证与参数研究
电动汽车行业面临的关键挑战之一是开发高功率密度电动机。实现更高的功率密度需要从电机内部有效地散热。为了改善热管理,一个能够准确预测电机行为的多物理场建模框架,同时具有计算效率,是必不可少的。本文首先在市售的motor - cad®建模环境中对内部永磁(IPM)同步电机的集总参数热网络(LPTN)模型进行了详细验证。研究了恒直流电动机定子在恒直流电流下产生的绕组损耗。验证是基于与实验数据的温度比较和更详细的有限元分析(FEA)。对于定子的每一层,详细考虑了LPTN的所有关键输入参数,特别是浸渍、衬垫、层压和外壳之间的接触电阻。最后,给出了每个关键输入参数的灵敏度分析。对于槽绕组和端绕组的最高温度,在LPTN和实验数据之间发现了4%的最大差异。比较LPTN和FEA模型的结果,槽绕组和端绕组最高温度的最大差异为2%。对于LTPN的灵敏度分析,发现具有最高灵敏度的热参数是衬里到层压的接触电阻。后者在文献中经常被忽略,而其对温升的影响被发现比定子内任何其他接触电阻都更显着。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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