Fluid-heat network modeling and bidirectional coupling method for axial-radial mixed ventilation cooling motor

Abstract

The invention discloses a fluid-heat network modeling and bidirectional coupling method for an axial-radial mixed ventilation cooling motor, which is characterized in that the motor is a motor with an axial-radial mixed ventilation cooling structure, and the coupling method establishes a fluid network model and a heat network model separately so that the mutual influence between the temperature change and the fluid flow state is fully considered. Motor global temperature rise prediction is realized through bidirectional coupling of the fluid network model and the heat network model, so that the method has the advantage of short time required for predicting the temperature rise by a heat network method, and the motor temperature rise prediction precision can be improved; accordingly, accurate temperature rise prediction can be carried out on a motor with a complex ventilation structure, and a reference is provided for subsequent motor designers to carry out temperature rise prediction on a motor.

Description

technical field [0001] The invention relates to the technical field of motors, in particular to an analysis method for accurately predicting the temperature rise of a motor with axial and radial mixed ventilation, using a bidirectional coupling solution of a flow heat network model. Background technique [0002] The motor cooled by axial-radial mixed ventilation has a relatively uniform temperature distribution along the axial direction, but its structure is more complicated, and it is difficult to model when predicting the temperature rise. [0003] The motor temperature rise prediction methods mainly include numerical analysis method and thermal network method: the former has higher calculation accuracy when the model and boundary conditions are accurate, but the global model modeling is difficult and the calculation takes a long time; the latter calculation requires The time is short, but the calculation accuracy is limited by factors such as node division, parameter calc...

AI Technical Summary

Problems solved by technology

[0002] Motors cooled by axial-radial mixed ventilation have relatively uniform temperature distribution along the axial direction, but their structures are complex, and it is difficult to model when predicting temperature rise

[0003] The motor temperature rise prediction methods mainly include numerical analysis method and thermal network method: the former has higher calculation accuracy when the model and boundary conditions are accurate, but the global model modeling is difficult and the calculation takes a long time; the latter calculation requires The time is short, but the calculation accuracy is limited by factors such as node division, parameter calculation and heat source allocation

[0004] At present, when the thermal network method predicts the temperature rise of the motor, there are few existing studies considering the interaction between the temperature change and the fluid flow state.

In fact, the change of temperature rise will affect the fluid flow characteristic parameters, and the change of fluid flow characteristic parameters will affect the convective heat transfer coefficient of the fluid-solid interface, which will lead to the change of motor temperature rise

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