Verification method and system for thermal simulation model, computer equipment and storage medium

Abstract

The invention discloses a verification method and system for a thermal simulation model, computer equipment and a storage medium. The verification method comprises the following steps: S1, setting uncertainty of input parameters according to the acquired input parameters, carrying out first thermal simulation, and analyzing the sensitivity level of each input parameter corresponding to each outputparameter according to the result of the first thermal simulation; s2, determining a sampling set of input parameters based on the sensitivity level, and performing next thermal simulation to determine an optimal input parameter Xn1 in a next thermal simulation result corresponding to the sampling set; s3, substituting the optimal input parameter Xn1 into a preset function relationship between the input parameter and the output parameter, and solving an optimal solution Xn2 of the input parameter under the function relationship; and S4, comparing the optimal solution Xn2 with actual data to evaluate the optimal solution Xn2, if the evaluation is qualified, outputting the qualified optimal solution Xn2, and if the evaluation is not qualified, turning to the step S2.

Description

technical field [0001] The invention relates to the field of thermal simulation. More specifically, it relates to a verification method, system, computer equipment and storage medium of a thermal simulation model. Background technique [0002] Thermal simulation is a widely used thermal control design method. The model verification and confirmation quantification of thermal simulation is based on the uncertainty quantification of the thermal simulation model, and the confidence of the thermal simulation model is evaluated and calculated through simple tests. The simulation model and considering various uncertainties are used to predict the target model of the non-system level test, and give the prediction confidence as the basis for decision-making. Its purpose is to ensure that the simulation model has sufficient accuracy and increase the credibility of the simulation model prediction by comparing the difference between the simulation prediction results of the simulation m...

AI Technical Summary

Problems solved by technology

For the simulation system, the input parameters contain uncertainty, which cannot be guaranteed to be the same as the actual input of the product; the simulation method is presented as a black box model due to reasons such as business secrets and model diversity

For the test system, some input parameters cannot be actually measured, such as contact parameters, some parameters are limited by the test conditions, and only the nominal data of the product can be used, such as the emissivity coefficient of different positions, so it also contains uncertainty; the test method is due to Completely feedback the actual thermal relationship of the product, which contains many elements and cannot be fully characterized

Therefore, due to the unknown of various parameters, the efficiency and accuracy of thermal simulation model verification are greatly limited

Images