Fuel cell fault diagnosis method

Abstract

The invention provides a fuel cell fault diagnosis method. The method comprises the following steps: firstly, sorting and summarizing possible faults of a fuel cell stack according to the structural composition of a proton exchange membrane fuel cell stack, and then constructing a fuel cell fault importance degree and proton exchange membrane fault importance degree hierarchical structure model for hierarchical analysis, wherein the construction of a judgment matrix is determined according to an influence significance result of an orthogonal test and from the aspects of whether a fault is recoverable or not, the degree of influence on a battery, the probability of occurrence of the fault, the attenuation rate of battery performance and the like; and finally, acquiring a specific weight and a sequence of each fault of the scheme layer. The fault diagnosis key part of the fuel cell system can be determined and the inspection and maintenance frequency of each component of the fuel cell can be arranged according to the sorting result, and corresponding prevention measures are formulated so that the application cost of the fuel cell can be reduced.

Description

technical field [0001] The invention belongs to the technical field of fuel cells, in particular to a fuel cell fault diagnosis method. Background technique [0002] Proton exchange membrane fuel cells have the advantages of fast start-up, high power density, low operating temperature, and zero emissions, so they are very suitable as vehicle power sources. This is the future development direction of the automotive industry, and the reliable and stable operation of power sources directly affects Therefore, it is of great significance to carry out fault diagnosis research on fuel cells, and it has gradually become a research hotspot. [0003] The common research methods of fuel cell fault diagnosis are: based on mechanism model, based on signal processing and based on artificial intelligence. At present, in the research of fuel cell fault diagnosis, there are few studies on the calculation of each fault weight and the consideration of aging faults of key materials. Each fault...

AI Technical Summary

Problems solved by technology

At present, in the research of fuel cell fault diagnosis, there are few studies on the calculation of each fault weight and the consideration of aging faults of key materials. Each fault factor has different effects on the performance of fuel cells, and the aging of key materials is also the main cause of performance degradation. Therefore, it is necessary to study the specific weights of each fault including aging faults. In order to facilitate comparison and calculation of each fault weight, fuel cell faults can be decomposed into multi-level and multi-factor fault factors for research

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