Simulation evaluation and simulation parameter optimization methods and devices for proton exchange membrane and medium

Abstract

The invention relates to simulation evaluation and simulation parameter optimization methods and devices for a proton exchange membrane and a medium. The simulation evaluation method comprises the steps of inputting proton exchange membrane formula information comprising formula data, structural data and working condition data; performing virtual synthesis, working condition sampling and virtual test of the proton exchange membrane on the proton exchange membrane formula information to obtain simulation evaluation results comprising mechanical properties, flow properties, structural propertiesand air permeability of the proton exchange membrane, and optimizing simulation parameters to quickly and reliably evaluate the performance of the proton exchange membrane. The simulation evaluationand simulation parameter optimization methods and devices for the proton exchange membrane and the medium can rapidly predict the performance of the proton exchange membrane and perform self-learningoptimization on the simulation parameters to improve the development efficiency of novel composite fuel cells.

Description

technical field [0001] The invention relates to the technical field of exchange membrane simulation evaluation, in particular to a proton exchange membrane simulation evaluation, simulation parameter optimization method, equipment and medium. Background technique [0002] A fuel cell is a device that converts chemical energy stored in fuel directly into electrical energy. Due to its many advantages of not being limited by the Carnot cycle, high energy conversion efficiency, clean and pollution-free, and flexible modular design and deployment, it has broad market prospects in the fields of transportation, power storage, and electronic equipment. "In the field of new energy vehicles, fuel cell vehicles have the advantages of good environmental performance, high conversion efficiency, short refueling time, and long cruising range. They are an important direction for the sustainable development of the automotive industry in the future. The development of fuel cell vehicles has ...

AI Technical Summary

Problems solved by technology

[0008] (1) Low reliability

In the existing simulation research on proton exchange membrane materials, due to the complexity of proton exchange membranes, there is a lack of effective processing methods in the establishment of reasonable abstract models and rigorous working condition processing, and the reliability of low-level simulation is very low. Low, can not really guide the experimental development, it is difficult to promote on a large scale;

[0009] (2) Poor usability

The traditional molecular simulation simulation steps are complex, requiring high experience and theoretical foundation of the user; in the actual use process, the operation is complicated, error-prone, data consistency is poor, and ease of use is low;

[0010] (3) Poor accuracy

There are many parameters in the process of molecular simulation. When the number of steps increases, the coupling of many parameters will lead to the selection of correct parameters. Traditional methods only rely on experience for parameter selection, and lack effective means and appropriate methods to obtain correct parameters.

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