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Multi-Objective Optimization of Electrical Machine Magnetic Core Using a Vanadium–Cobalt–Iron Alloy

机译:钒钴铁合金对电机磁芯的多目标优化

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The pursue for electrical machines with higher power densities and efficiencies is a constant research topic among the research and industrial communities. This article focuses on the optimization of an electrical machine's magnetic core using a vanadiumcobalt-iron (VaCoFe) alloy to increase its power density and electrical efficiency. This alloy presents, as its main differentiable characteristics, a higher magnetic saturation point, about 2.4 T, but also higher iron core losses than typical silicon-iron (FeSi) materials. In order to study the impact of using this material in electrical machines magnetic cores, this article focuses on the optimization of magnetic cores with two different materials: VaCoFe alloy and a typical FeSi material. The optimizations are done using a genetic algorithm and using the electromagnetic and thermal lumped parameter models to maximize power density, while reducing magnetic core volumes. Results show that the VaCoFe allows the increase of the power density of the magnetic core in about 25% for low frequencies; however, due to its higher iron core losses, for higher frequencies, the advantages of using this new alloy are not clear. Due to temperature limits, for higher frequencies, it is not possible to work on the VaCoFe best magnetic saturation point. Therefore, results show that for low values electrical frequency ranges, this material can outperform the typical FeSi, while for higher ones, the VaCoFe can be outperformed by the FeSi.
机译:对具有更高功率密度和效率的电机的追求是研究界和工业界不断研究的话题。本文重点介绍了使用钒钴铁(VaCoFe)合金优化电机磁芯以提高其功率密度和电效率的方法。这种合金的主要可区分特性是其磁饱和点较高,约为2.4 T,但与典型的硅铁(FeSi)材料相比,铁芯损耗也更高。为了研究在电机磁芯中使用这种材料的影响,本文重点介绍了使用两种不同材料(VaCoFe合金和典型的FeSi材料)对磁芯的优化。优化是使用遗传算法以及电磁和热集总参数模型完成的,以最大程度地提高功率密度,同时减少磁芯体积。结果表明,对于低频,VaCoFe可以使磁芯的功率密度提高约25%。然而,由于其较高的铁芯损耗,对于更高的频率,使用这种新型合金的优势尚不清楚。由于温度限制,对于更高的频率,无法在VaCoFe最佳磁饱和点上工作。因此,结果表明,对于较低的电频率范围,这种材料可以胜过典型的FeSi,而对于较高的频率,VaCoFe可以胜于FeSi。

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