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首页> 外文期刊>International journal of applied electromagnetics and mechanics >Multiphysics optimization design flow with improved submodels for salient switched reluctance machines
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Multiphysics optimization design flow with improved submodels for salient switched reluctance machines

机译:多体仪优化设计流程,具有改进的子模型,突出开关磁阻机

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摘要

Multiphysical optimization design of electrical machines is essential, in which the submodels, including electromagnetic, thermal and noise/vibration (NV) simulation models are required not only to be accurate to facilitate coupling analysis, but also of small computation to guarantee calculation speed. In this paper, a multiphysics design flow for salient electrical machines is proposed. The flow aims to maximize torque with temperature rise and acoustic guaranteed, in which each submodel of fast and accurate calculation is respectively studied. For electromagnetic analysis, an efficient finite element (FE) based program is proposed to model distribution of magnetic saturation on salient poles. For NV analysis, an analytical frequency estimation approach is proposed. For thermal analysis, a lumped parameter network model with compensation elements is studied. An 8/6 salient switched reluctance machine (SRM) of high power density for vehicular traction application is studied.
机译:电气机的多职优化设计是必不可少的,其中亚模型,包括电磁,热和噪声/振动(NV)模拟模型不仅是准确的,以便于耦合分析,还可以进行小的计算,以保证计算速度。 本文提出了一种凸起电机的多体设计流程。 该流程旨在通过温度升高和声学保证最大化扭矩,其中分别研究了每个快速准确的计算的子模型。 对于电磁分析,提出了一种基于有限元(FE)的程序,以模拟凸极上磁饱和度的分布。 对于NV分析,提出了一种分析频率估计方法。 对于热分析,研究了具有补偿元件的总体参数网络模型。 研究了用于车辆牵引应用的高功率密度的8/6俯仰磁阻机(SRM)。

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