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A control optimization method and system for improving the service life of a SOFC system

A system life and optimization method technology, applied in the direction of fuel cell control, electrochemical generator, fuel cell, etc., can solve the problems that it is difficult to effectively reduce the system attenuation rate, the health status is difficult to obtain, and the system life is reduced, so as to achieve longevity and high efficiency The effect of control

Active Publication Date: 2022-02-15
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0007] Aiming at the defects and improvement needs of the prior art, the present invention provides a control optimization method and system for improving the service life of the SOFC system. Reduced technical issues

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  • A control optimization method and system for improving the service life of a SOFC system

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Embodiment Construction

[0050] In order to make the objects, technical solutions and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are intended to explain the present invention and is not intended to limit the invention. Further, the technical features according to each of the various embodiments described below can be combined with each other as long as they do not constitute a collision between each other.

[0051] like figure 1 As shown, the present invention provides a method of improving the control optimization of the life of the SOFC system, including:

[0052] Applying a fuzzy neural network, a solid oxide fuel cell system input in the fuel cell system history data and a total of four variables in the corresponding system run time as the input of a fuzzy neural network model, wherein the system input includes: fuel flow, air...

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Abstract

The invention discloses a control optimization method and system for improving the service life of an SOFC system, belonging to the field of fuel cell control. The present invention firstly trains the fuzzy neural network through historical data to obtain the relationship between system input, time and attenuation voltage, and combines the mechanism model to construct a data-mechanism combined solid oxide fuel cell system attenuation model; According to the data under different scales, the attenuation rates corresponding to the three key state quantities under different situations are obtained under different target powers, and the value range of the corresponding key state quantities when the attenuation rate is in a better interval can be selected as the three key state quantities. The optimal working range of the state quantity. Effective control of these key state quantities can ensure that the impact on system attenuation is minimal, thereby achieving long-lived and efficient control.

Description

Technical field [0001] The present invention belongs to the field of fuel cell control, and more particularly to a control optimization method and system for increasing the life of the SOFC system. Background technique [0002] The fuel cell is used as a highly efficient, low-emission energy conversion technology, which is directly converted into electrical energy in fuel (such as hydrogen, methane) by electrochemistry. Among them, medium temperature solid oxide fuel cells have advantages of its full solid structure, good fuel adaptability, and power efficiency can reach more than 60%, and recovered energy efficiency by CHP (thermoelectric network). % Or more is one of the most developed energy conversion technology today. After decades of development, SOFC technology has gradually been mature in materials, electric stack manufacturing, system integration, and many companies have also successfully demonstrated SOFC systems, but short-lived problems still hinder their large-scale ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H01M8/04298H01M8/04313
CPCH01M8/04298H01M8/04305H01M8/04313Y02E60/50
Inventor 蒋建华秦宏川汪浩徐豪成喆李曦邓忠华李箭
Owner HUAZHONG UNIV OF SCI & TECH
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