Application of Computational Fluid Dynamics in Heat Transfer Optimization of New Energy Motor Cooling Structures

In the field of new - energy motors, the improvement of their performance is significantly restricted by insufficient heat dissipation efficiency. Traditional design methods often struggle to meet the thermal management requirements under high power density. Computational Fluid Dynamics (CFD) technology has the outstanding ability to accurately simulate the flow and heat transfer processes. Relying on this ability, it has opened up a new path for optimizing the heat dissipation structure. This research focuses on the characteristics of the internal heat source distribution in the motor. By combining with multi - physical field coupling analysis, an efficient numerical model is established to explore the parametric design and optimization strategy of the heat dissipation structure. After integrating the response surface method and the genetic algorithm, a composite heat dissipation scheme is proposed, aiming to break through the limitations of the traditional heat dissipation mode. Experimental verification shows that this method is remarkably effective in improving the heat dissipation performance and energy utilization efficiency, providing strong theoretical support for the lightweight and reliability design of new - energy motors.