Multiphysics Analysis to Effectively Evaluate Thermal Performance of Liquid-Cooled Electric Machines

Abstract

The prediction of maximum operating temperature in electric machines is very important to ensure that the machine can produce the required power safely. Accurate thermal modeling is required to predict the Heat Transfer Coefficient (HTC) of walls between coolant and heat sources and estimate the temperature in the machine. Analytical calculation of HTC is difficult for sophisticated geometric bodies since the dimensionless correlations are only available for simple geometries. To reduce the effort required to develop a thermal model of the whole cooling system, a 2- way numerical multi-physics approach using Finite Element Analysis (FEA) and Computational fluid dynamics (CFD) to determine HTC and evaluate the thermal performance of a liquid-cooled electric machine is presented in this paper. This 2- way method called a hybrid approach is used to estimate HTC of liquid-cooled SRM. In this study, a switched reluctance machine (SRM) is used as an example model to evaluate its thermal performance. In the hybrid approach, using the HTC estimated by CFD, and heat generation in the machine as the inputs, the FEA is used to determine the maximum steady-state temperature in the machine. An analytical approach is also implemented to determine the HTC of the example SRM. The calculated HTC is used in FEA to obtain the temperature in the machine. The temperature obtained from hybrid and analytical approaches is compared. The SRM considered in this study is built and tested for different operating points. Results obtained from the hybrid approach are validated with the experimental temperature data