A kind of fuel cell fault diagnosis method

Abstract

The present invention provides a fault diagnosis method for a fuel cell. Firstly, according to the structure of the proton exchange membrane fuel cell stack, the possible faults of the fuel cell stack are sorted out and summarized, and then it is constructed into a hierarchical structure model of the importance of fuel cell faults and the importance of proton exchange membrane faults for hierarchical analysis. The structure is determined according to the influence significance results of the orthogonal test and from the aspects of whether the fault can be recovered, the degree of influence on the battery, the probability of the occurrence of the fault, the attenuation rate of the battery performance, etc., and finally the specific weight of each fault at the scheme layer is obtained. According to the sorting results, the key parts of the fault diagnosis of the fuel cell system can be determined, the inspection and maintenance frequency of each component of the fuel cell can be arranged, and corresponding preventive measures can be formulated, thereby reducing the application cost of the fuel cell.

Description

technical field [0001] The invention belongs to the technical field of fuel cells, and in particular relates to a fault diagnosis method for a fuel cell. Background technique [0002] Proton exchange membrane fuel cells have the advantages of fast startup, 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. The reliable and stable operation of the power source directly affects the Therefore, the research on fault diagnosis of fuel cells is of great significance and has gradually become a research hotspot. [0003] Common fuel cell fault diagnosis research methods include: mechanism model-based, signal processing-based and artificial intelligence-based diagnostic methods. At present, there are few studies on the calculation of each fault weight and the consideration of aging faults of key materials in the research of fuel cell fault diagnosi...

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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