CN-121980977-A - Power supply heat dissipation structure layout simulation design optimization method and system

CN121980977ACN 121980977 ACN121980977 ACN 121980977ACN-121980977-A

Abstract

The application relates to the technical field of power supply structure optimization, in particular to a power supply heat dissipation structure layout simulation design optimization method and system. The method comprises the steps of constructing a digital model of a power supply, acquiring temperature, gridding the digital model, calculating a hot air flow influence coefficient based on the occupancy rate of a grid element and the thermal effect index of the element so as to adjust and minimize an objective function, calculating the temperature index in iteration through the minimized objective function, and carrying out self-adaptive adjustment on inertia weight, and acquiring the optimal structural layout through the self-adaptive inertia weight and the objective function. The application improves the optimization effect of the layout parameter design of the power supply heat dissipation structure.

Inventors

ZHU RUNGUI
LUO MA
ZHOU QI
XIE DANDAN
ZHOU XIANG
YANG SHUAIWEI
TANG DAZHI

Assignees

长沙竹叶电子科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260409

Claims (10)

1. The power supply heat dissipation structure layout simulation design optimization method is characterized by comprising the following steps of: constructing a digital model of the internal structure of the power supply, and acquiring the temperatures of components and all positions in the power supply; the method comprises the steps of gridding a digital model, obtaining a space neighborhood of the grid, calculating the air current turbulence degree of the grid according to the number proportion of different types of components in the space neighborhood, weighting the distance between the components and the center of the space neighborhood by taking the heating power of the components as weight to determine the thermal effect index of the space neighborhood, calculating the hot air current influence coefficient of the grid according to the air current turbulence degree and the thermal effect index, and obtaining a minimized objective function according to the adjustment of the objective function formed by the hot air current influence coefficient on the temperature in a particle swarm algorithm; Calculating the temperature index of the particles based on the temperature of the grid in the particles in the iteration of the particle swarm algorithm by minimizing the objective function; And performing optimal calculation through the self-adaptive inertia weight and the minimized objective function to obtain the optimal structural layout.
2. The power supply heat dissipation structure layout simulation design optimization method as set forth in claim 1, wherein the method for gridding the digital model and obtaining the spatial neighborhood of the grid is as follows: The method comprises the steps of presetting the size of a grid, wherein the size of the grid needs to contain the minimum components, dividing a digital model into a plurality of grids, and setting the space field for the grids, wherein the space field is all grids in a circular range with the center of mass of the grid as the center and the preset radius size.
3. The power supply heat dissipation structure layout simulation design optimization method as set forth in claim 1, wherein the method for calculating the airflow turbulence of the grid by the number ratio of different types of components in the space neighborhood is as follows: Dividing the components into streamline components and non-streamline components according to the shapes of the components; The ratio of the number of non-streamline components in the grid space neighborhood to the number of all components in the space neighborhood is used as the air flow turbulence.
4. The power supply heat dissipation structure layout simulation design optimization method as set forth in claim 1, wherein the thermal effect index and the distance between the components and the space neighborhood center are in negative correlation, and the larger the heating power is, the larger the weight is.
5. The method of optimizing a layout design of a heat dissipating structure of a power supply of claim 1, wherein the thermal current influence coefficients are in positive correlation with the turbulence of the air current and the thermal effect index, respectively.
6. The method for optimizing the design of the power supply heat dissipation structure layout according to claim 1, wherein the method for obtaining the minimized objective function by adjusting the objective function of the temperature composition in the particle swarm algorithm by the hot air flow influence coefficient is as follows: , Indicating the temperature of the i-th component, The temperature of the nth grid is indicated, Representing the hot gas flow influence coefficient of the nth grid, Indicating the number of components and parts to be mounted, The number of grids is represented and, Representing a minimized objective function.
7. The method of claim 1, wherein the particles in the particle swarm algorithm are design parameters of the heat dissipation structure, including a number of fans, a size of a heat dissipation substrate, a size of heat dissipation fins, and a number of heat dissipation fins.
8. The method for optimizing power supply heat dissipation structure layout simulation design according to claim 1, wherein the temperature index is in positive correlation with average temperature and in negative correlation with temperature range, the average temperature is the average temperature of all grids in each particle in each iteration, and the temperature range is the difference between the maximum temperature and the minimum temperature of grids in each particle in each iteration.
9. The method for optimizing the design of the power supply heat dissipation structure layout according to claim 1, wherein the method for adaptively adjusting the preset inertia weight by the temperature index of the particles is as follows: , Representing the temperature index of the kth particle in the t-th iteration, Representing the mean value of the temperature index of all particles in the t-th iteration, Representing the initial weight of the inertia of the vehicle, Representing the kth particle adaptive inertial weight in the t-th iteration.
10. A power supply heat dissipation structure layout simulation design optimization system comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor, when executing the computer program, implements the steps of a power supply heat dissipation structure layout simulation design optimization method as claimed in any one of claims 1-9.

Description

Power supply heat dissipation structure layout simulation design optimization method and system Technical Field The application relates to the technical field of power supply structure optimization, in particular to a power supply heat dissipation structure layout simulation design optimization method and system. Background The power supply equipment (such as a switch power supply and the like) can release a large amount of heat in the working process, and if the electronic components in the power supply equipment are improper in heat dissipation, the problems of faults and the like can be caused, so that the power supply equipment has important significance for a heat dissipation structure with good power supply design. Along with the increasing development of heat design technology, the heat dissipation structure is required to develop towards the aspect of miniaturization, the research and development cost and the material cost for heat dissipation design are gradually compressed, and the CAE software is applied to simulate the layout of the power supply heat dissipation structure to improve the rationality of the design of the power supply heat dissipation structure. In the heat radiation structure design of the power supply, the mounting position on the power supply shell is limited, and both the unreasonable heat radiation structure design and the mounting position can influence the heat radiation performance inside the power supply, and even cause the damage of equipment caused by overhigh temperature of a local area. Therefore, it is very important to simulate design optimization of a heat dissipation structure, a digital model of a power supply is built by a current research method to simulate, the heat dissipation effect of the power supply model is optimal by optimizing the layout design of the heat dissipation structure in the digital model, but the traditional optimization method only takes the whole temperature of the power supply as an optimization target, but because the shapes of components in the power supply are different and the heat dissipation amounts are different, the heat dissipation is carried out by means of air cooling in the working process, the flow of air flow is influenced by the shapes of the components to generate uneven air flow, the heat dissipation amount of individual components greatly influences the heat dissipation effect of local positions, the internal failure of the power supply is easy to cause in long-term working, and the influence of the factors is not considered by the traditional heat dissipation structure optimization method, so that the optimization result is not the globally optimal design result. Disclosure of Invention In order to solve the technical problem that the heat dissipation effect is poor due to different heat dissipation caused by different air flows according to different shapes of components, the application provides a simulation design optimization method and a simulation design optimization system for the layout of a power supply heat dissipation structure, and the adopted technical scheme is as follows: in a first aspect, the present application provides a power supply heat dissipation structure layout simulation design optimization method, which includes the following steps: constructing a digital model of the internal structure of the power supply, and acquiring the temperatures of components and all positions in the power supply; the method comprises the steps of gridding a digital model, obtaining a space neighborhood of the grid, calculating the air current turbulence degree of the grid according to the number proportion of different types of components in the space neighborhood, weighting the distance between the components and the center of the space neighborhood by taking the heating power of the components as weight to determine the thermal effect index of the space neighborhood, calculating the hot air current influence coefficient of the grid according to the air current turbulence degree and the thermal effect index, and obtaining a minimized objective function according to the adjustment of the objective function formed by the hot air current influence coefficient on the temperature in a particle swarm algorithm; Calculating the temperature index of the particles based on the temperature of the grid in the particles in the iteration of the particle swarm algorithm by minimizing the objective function; And performing optimal calculation through the self-adaptive inertia weight and the minimized objective function to obtain the optimal structural layout. In the scheme, aiming at the problem that the optimal effect is difficult to realize due to the fact that the heating power of components and the influence of the appearance of the components on the heat dissipation effect are not considered in the layout parameter optimization of the traditional heat dissipation structure, the method is characterized in that the grid region i