Fuel cell performance prediction method and device, electronic equipment and storage medium

Abstract

The invention discloses a fuel cell performance prediction method and device, electronic equipment and a storage medium, and the prediction method comprises the steps: obtaining a plurality of GDLs with different performances, and reconstructing the GDLs into corresponding GDL models; analyzing the GDL models based on a hole scale model and a lattice Boltzmann method to obtain performance parameter information of each GDL model; importing the performance parameter information into the fuel cell model; acquiring and analyzing the cell performance information of the fuel cell model; and guiding the GDL to adjust or select an optimal GDL model based on the battery performance information. According to the method, a microcosmic model and macroscopic model association system is realized, microcosmic and macroscopic characteristics of the fuel cell are systematically integrated, the performance of the fuel cell can be accurately predicted, and a prediction result can be used as a research and development adjustment basis or a selection basis of the fuel cell.

Description

technical field [0001] The present application relates to the field of battery technology, in particular, to a fuel cell performance prediction method, device, electronic equipment and storage medium. Background technique [0002] In recent years, proton exchange membrane fuel cells (proton exchange membrane fuel cells, proton exchange membranes) are gradually becoming commercialized because of the advantages of high efficiency, low emissions, and sustainability compared with other energy sources. The membrane electrode (membrane electrode assembly, membrane electrode) is the core component of the proton exchange membrane, which includes GDL, catalyst layer (catalyst layer, catalyst layer) and proton exchange membrane (proton exchange membrane, proton exchange membrane). [0003] Modern membrane electrodes add a microporous layer (micro porous layer) between the GDL and the catalyst layer to enhance the water management and mechanical properties of the membrane electrode. G...

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Problems solved by technology

[0004] The existing performance analysis methods for fuel cells are generally analyzed directly from the macroscopic or microscopic perspective. However, so far, there are many problems that cannot be analyzed from the macroscopic or microscopic perspective. A comprehensive method has not yet existed. The method of predicting fuel cell performance from micro and macro perspectives leads to inaccurate results of fuel cell performance prediction

[0005] For the above problems, there is no effective technical solution

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