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High temperatures in the surface mounted permanent magnet (SMPM) synchronous motor adversely affect the power output at the motor shaft. Temperature rise may lead to winding insulation failure, permanent demagnetization of magnets and encoder electronics failure. Prediction and management of temperatures at different locations in the motor should be done right at the design stage to avoid such failures in the motor. The present work is focused on the creation of Lumped Parameter Thermal Network (LPTN) and CFD models of SMPM synchronous motor to predict the temperature distribution in the motor parts. LPTN models were created in Motor-CAD and Simulink which are suitable for parameter sensitivity analysis and getting quick results. Air is assumed to be a cooling medium to extract heat from the outer surface of motor. CFD models were useful in providing elaborate temperature distribution and also locating the hot-spots. Correlation models by both the methods, viz.

The prediction of the temperature profile inside an operating electric motor is one of the most important challenges while designing a motor and its associated cooling & lubrication system. This paper describes an integrated thermal simulation methodology for a surface mounted permanent magnet (SMPM) synchronous motor by coupling 1D thermal network analysis with 3D thermal simulation. 1D lumped parameter model is developed with a network of interconnected nodes and thermal resistances representing the heat processes within the SPMSM. The resistances are calculated using theoretical formulae and this thermal network is presented as a system of linear equations solved using matrix operations. Further this network is integrated with 3D FEM model in which lumped parameters are replaced by physical parameters to observe temperature variation within different motor components and simulated in 3D through commercially available tool.