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Proton exchange membrane fuel cell gas diffusion layer material proportion prediction method

A technology of gas diffusion layer and proton exchange membrane, which is applied in fuel cells, fuel cell control, fuel cell additives, etc., can solve problems such as calculating the mass ratio of adhesives and hydrophobic agents, and achieve good training results and strong The effect of applicability

Active Publication Date: 2022-06-28
南京友一智能科技有限公司
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Problems solved by technology

[0023] The purpose of the present invention is to provide a proton exchange membrane fuel cell gas diffusion layer material ratio prediction method to solve the problem of not being able to accurately calculate the added mass ratio of carbon fibers, adhesives and hydrophobic agents in the proton exchange membrane fuel cell gas diffusion layer question

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  • Proton exchange membrane fuel cell gas diffusion layer material proportion prediction method
  • Proton exchange membrane fuel cell gas diffusion layer material proportion prediction method
  • Proton exchange membrane fuel cell gas diffusion layer material proportion prediction method

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Embodiment Construction

[0055] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0056] The present invention provides such as Figure 11 A proton exchange membrane fuel cell gas diffusion layer material ratio prediction method shown in the following steps:

[0057] Component identification steps:

[0058] Input the scanning electron microscope image, crop the image, and extract the image feature layer through the Resnet convolution module;

[0059] Input the image feature layer into the pyramid pooling module t...

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Abstract

The invention discloses a method for predicting the material proportion of a gas diffusion layer of a proton exchange membrane fuel cell, and belongs to the technical field of proton exchange membrane fuel cells. A reasoning prediction step; according to the method for predicting the material proportion of the gas diffusion layer of the proton exchange membrane fuel cell, only the microstructure of the gas diffusion layer of the proton exchange membrane fuel cell can be observed by naked eyes through a scanning electron microscope and a CT (Computed Tomography) method, and component distribution cannot be quantitatively expressed. The distribution of each component in a scanning electron microscope image of the gas diffusion layer is analyzed more accurately by means of a neural network, the problem that the proportion of each component in the gas diffusion layer cannot be obtained by a scanning electron microscope method and a CT (Computed Tomography) method is solved, and the mapping relation from two-dimensional information to three-dimensional information is pushed through a multi-layer perceptron. The component proportion information of the gas diffusion layer is derived according to the image, which is beneficial to numerical reconstruction of a more accurate three-dimensional model.

Description

technical field [0001] The invention belongs to the technical field of proton exchange membrane fuel cells, and particularly relates to a method for predicting the proportion of gas diffusion layer materials in proton exchange membrane fuel cells. Background technique [0002] Due to the shortage of fossil energy such as petroleum and the urgent requirement of environmental protection, new energy vehicles have become the research hotspot of major automobile manufacturers and R&D institutions in the world. Among them, fuel cell technology is a promising clean energy conversion technology. The chemical energy in the fuel is directly converted into electrical energy by burning the fuel, and its energy conversion efficiency is not limited by the Carnot cycle. Theoretically, the total energy utilization efficiency is greater than 60%. [0003] Fuel cells mainly include alkaline fuel cells, proton exchange membrane fuel cells (Polymer electrolytemembrane fuel cells), phosphoric ac...

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Application Information

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IPC IPC(8): G06V20/69H01M8/04298G06N3/04G06N3/08
CPCH01M8/04305G06N3/08G06N3/045Y02E60/50
Inventor 隋俊友王虎雷志平
Owner 南京友一智能科技有限公司
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