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Thermal Optimization of a High-Power Salient-Pole Electrical Machine

【摘要】 An optimization of the thermal behavior of a high-power salient-pole electrical machine is presented. Temperatures are calculated with the lumped method, which provides the thermal trends with relatively low computational cost. This model is used to define an aggregated objective function of our nonlinear thermal optimization problem by combining the mean solid temperature with the maximum temperature criteria. The 13 design variables correspond to the main volumetric flow rates in the electrical machine, which are bounded and subjected to a nonlinear constraint, assuming a fixed geometry. Two MATLAB optimization algorithms were tested: the Active-set (FMINCON solver) and the genetic algorithm (GA). Due to the strong nonlinearities of the model and the resulting nonconvex optimization problem, the GA is likely to give better results. Minimizing the mean solid temperature was demonstrated to be more important than the maximum temperature criterion. A strategic flow configuration is found to send fresh air to the second half of the cooling circuit, where air usually arrives heated. This optimal configuration provides better cooling than its current modeled configuration. This methodology should be of interest during the development phase.

【期刊名称】 Industrial Electronics, IEEE Transactions on

【作者】 Bornschlegell, A. S.; Pelle, J.; Harmand, S.; Fasquelle, A.; Corriou, J.-P.;

【作者单位】 A. Bornschlegell is with Universite Lille Nord de France, F-59000 Lille, France.;

【收录信息】;

【年(卷),期】2013(60),5

【年度】2013

【页码】p.1734-1746

【总页数】13

【原文格式】PDF

【正文语种】eng

【中图分类】;

【关键词】Equations; Heating; Materials; Mathematical model; Optimization; Rotors; Stators; Active-set algorithm; flow optimization; genetic algorithm (GA); salient-pole electrical machine; thermal modeling;

【原文服务方】国家工程技术数字图书馆

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