Abstract

This article describes a more convenient lumped parameter thermal network method to predict the node temperature distribution of Transverse Flux Linear Switch Reluctance Motor. Analyze and calculate the equivalent thermal conductivity and convective heat transfer coefficient of the different components inside the motor. Through the lumped parameter thermal network model, the steady-state nodes temperature rise of different motor parts can be obtained, and the loss of the motor under the rated state is used as the heat source of the temperature distribution. Finally, a three-dimensional finite element analysis thermal model of Transverse Flux Linear Switch Reluctance Motor was established. The overall temperature distribution of the main components of the motor was calculated through the finite element analysis model for comparison, which proved that the lumped parameter thermal network model can more accurately predict the temperature rise of each node.

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