Fuel Cell Stack Modeling Method with Fluid Inhomogeneous Distribution Effect

Abstract

The invention discloses a fuel cell stack modeling method with fluid uneven distribution effect. The establishment of the model includes three parts: a fluid network model, a single cell mechanism model, and the coupling of the fluid network model and the single cell mechanism model. The fluid network model calculates the pressure drop loss of each part to obtain the actual gas flow into each cell and the actual distribution of the cooling liquid. The single cell mechanism model calculates the membrane water content, liquid water volume fraction, gas composition and temperature at the center of each layer, which can reflect the gas concentration and temperature distribution inside the single cell. Through the coupling of the two models, the distribution of the reaction gas in the stack can be accurately calculated, and at the same time, the stack model of the distribution of the internal parameters of each single cell can be given. The invention not only makes up for the shortcomings of the previous fluid network model that the heat and mass transfer mechanism inside the single battery is oversimplified, resulting in low accuracy of the model, but also solves the problem of low simulation efficiency of the three-dimensional stack model.

Description

technical field [0001] The invention belongs to the field of proton exchange membrane fuel cells, and in particular relates to a proton exchange membrane fuel cell stack modeling method having the effect of non-uniform distribution of fluids such as intake air and cooling liquid. Background technique [0002] Proton exchange membrane fuel cell (PEMFC) has the advantages of high energy density, high energy conversion efficiency, low operating temperature and zero emission, and can be used as one of the clean energy sources in the future transportation industry. As the core component of the system, the fuel cell stack converts the chemical energy of the reaction gas into electrical energy. Due to the limited output voltage and power of the single cell, the fuel cell stack is usually composed of dozens or even hundreds of single cells connected in series (or in parallel). To meet the output voltage and power requirements. [0003] After the reaction gas (such as hydrogen, air)...

AI Technical Summary

Problems solved by technology

In terms of experimental research, the main focus is on the measurement of the output voltage and temperature distribution of the single cells in the stack. However, the size of the intake manifold in the stack is small, and the flow sensor cannot be placed in it. Actual gas volume

Numerical simulation methods (such as fluid network models and three-dimensional stack models) can be used to quantitatively analyze the distribution of reaction gases and coolants. Among them, the fluid network model greatly simplifies the heat and mass transfer phenomenon of multi-physical quantity coupling inside the single cell. Therefore, the accuracy of the model is low

The three-dimensional stack model fully considers the flow distribution of the stack manifold and the mass transfer mechanism inside the battery. The accuracy of the model is high, but the demand for computing resources is extremely high and the computing efficiency is low.

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