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作 者:Ali Zarghani Mohammad Farahzadi Aghil Ghaheri Karim Abbaszadeh
机构地区:[1]Faculty of Electrical Engineering,Shahid Beheshti University,Tehran 1983969411,Iran [2]Faculty of Electrical Engineering,University of Science and Culture,Tehran 1461968151,Iran [3]Department of Electrical Engineering,K.N.Toosi University of Technology,Tehran 1631714191,Iran
出 处:《Chinese Journal of Electrical Engineering》2024年第2期80-92,共13页中国电气工程学报(英文)
摘 要:Heat and thermal problems are major obstacles to achieving high power density in compact permanent magnet(PM)topologies.Consequently,a comprehensive,accurate,and rapid temperature rise estimation method is required for novel electric machines to ensure safe and reliable operations.A unique three-dimensional(3D)lumped parameter thermal network(LPTN)is presented for accurate thermal modeling of a newly developed outer-rotor hybrid-PM flux switching generator(OR-HPMFSG)for direct-drive applications.First,the losses of the OR-HPMFSG are calculated using 3D finite element analysis(FEA).Subsequently,all machine components considering the thermal contact resistance,anisotropic thermal conductivity of materials,and various heat flow paths are comprehensively modeled based on the thermal resistances.In the proposed 3-D LPTN,internal nodes are considered to predict the average temperature as well as the hot spots of all active and passive components.Experimental measurements are performed on a prototype OR-HPMFSG to validate the efficiency of the 3-D LPTN.A comparison of the results at various operating points between the developed 3-D LPTN,experimental test,and FEA indicates that the 3-D LPTN quickly approximates the hotspot and mean temperature of all components under both transient and steady states with high accuracy.
关 键 词:Direct-drive wind turbine hybrid-PM flux switching generator lumped parameter thermal network temperature estimation 3D thermal modeling
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