CN-121995236-A - Electrolytic cell health state detection method, apparatus, computer device, readable storage medium, and program product

CN121995236ACN 121995236 ACN121995236 ACN 121995236ACN-121995236-A

Abstract

The application relates to a method, a device, a computer device, a readable storage medium and a program product for detecting the health state of an electrolytic cell. The node relation diagram is constructed based on frequency domain signals such as high-frequency impedance and oxygen flow of the electrolytic cell to be detected, frequency domain signals such as impedance spectrum and the like and the real-time health state of the electrolytic cell, the detection of the health state of the electrolytic cell is carried out based on the node relation diagram through the detection model, and the detection result of the health state corresponding to the electrolytic cell is output. Compared with the traditional method for detecting the health state by relying on the equivalent circuit model, the method for detecting the health state of the electrolytic cell by combining the time domain signal and the frequency domain signal of the electrolytic cell with the health state nodes of the electrolytic cell, and by combining the detection model with the node relation diagram, the method for detecting the health state of the electrolytic cell improves the accuracy of detecting the health state of the electrolytic cell.

Inventors

ZHUO YU
Luo Shunqin
ZHANG XING
FENG KEYING
YANG ZEYU
CHEN WEIZE

Assignees

广东电网有限责任公司广州供电局

Dates

Publication Date: 20260508
Application Date: 20260320

Claims (10)

1. A method for detecting the health status of an electrolytic cell, the method comprising: Acquiring a time domain signal and a frequency domain signal corresponding to an electrolytic cell to be detected, wherein the time domain signal comprises high-frequency impedance and oxygen flow when the electrolytic cell operates, and the frequency domain signal comprises impedance spectrum of the electrolytic cell; each node in the node relation diagram is determined based on the high-frequency impedance and the oxygen flow in the time domain signal, the impedance spectrum in the frequency domain signal and the real-time health state node of the electrolytic cell; And the detection model is used for outputting a health state detection result corresponding to the electrolytic cell according to the node relation diagram.
2. The method according to claim 1, wherein the obtaining a node relation graph corresponding to the health status of the electrolytic cell includes: Generating each first node according to the high-frequency impedance and the oxygen flow in the time domain signal and the impedance spectrum in the frequency domain signal; Generating a second node corresponding to the real-time health state of the electrolytic cell according to the initial electrical parameter and the real-time electrical parameter corresponding to the electrolytic cell; generating each edge according to the relation between each first node and each second node; And generating the node relation graph according to each first node, each second node and each edge.
3. The method of claim 2, wherein said generating respective first nodes from said high frequency impedance and said oxygen flow in said time domain signal and said impedance spectrum in said frequency domain signal comprises: generating corresponding mass transfer characteristic nodes, oxygen reduction reaction nodes and cathode catalyst layer proton transfer effect nodes according to the impedance spectrum and relaxation time distribution algorithm, wherein the mass transfer characteristic nodes represent the gas diffusion layer porosity and equivalent transfer coefficient health state of the electrolytic cell; and obtaining each first node according to the node corresponding to the oxygen flow, the node corresponding to the high-frequency impedance, the mass transfer characteristic node, the oxygen reduction reaction node and the proton transfer effect node of the cathode catalyst layer.
4. The method of claim 1, wherein the detection model comprises a graph-rolling network and a long-short-term memory network, wherein the graph-rolling network is used for obtaining corresponding feature extraction results according to the node relation graph, and the long-short-term memory network is used for outputting corresponding health state detection results according to the feature extraction results.
5. The method of claim 4, wherein the obtaining the corresponding feature extraction result according to the node relation graph includes: extracting each node characteristic in the node relation graph; And carrying out neighborhood aggregation and feature propagation on each node feature to obtain a spatial feature matrix corresponding to the node relation graph, and taking the spatial feature matrix as the feature extraction result.
6. The method of claim 4, wherein outputting the corresponding health status detection result according to the feature extraction result comprises: And predicting the long-term degradation trend of the characteristic extraction result, and outputting a health state detection result corresponding to the electrolytic cell.
7. An electrolytic cell health status detection device, the device comprising: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a time domain signal and a frequency domain signal which correspond to an electrolytic cell to be detected, the time domain signal comprises high-frequency impedance and oxygen flow when the electrolytic cell operates, and the frequency domain signal comprises impedance spectrum of the electrolytic cell; The system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring a node relation diagram corresponding to the health state of the electrolytic cell; the detection model is used for outputting a health state detection result corresponding to the electrolytic cell according to the node relation diagram.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

Description

Electrolytic cell health state detection method, apparatus, computer device, readable storage medium, and program product Technical Field The present application relates to the field of electrolytic cell technology, and in particular, to a method, an apparatus, a computer device, a computer readable storage medium and a computer program product for detecting the health status of an electrolytic cell. Background Proton exchange membrane cells (Proton Exchange Membrane Electrolyzer Cell, PEMEC) have become an important part of future green energy architectures due to their high energy efficiency and cleanliness. However, the performance degradation of the electrolytic cell is caused by multi-source isomerism, and the electrolytic cell not only suffers from coupling degradation mechanisms such as platinum, carbon, a membrane and the like, but also suffers from accumulated operation variables of the cell such as operation parameters, membrane water content and the like, and the detection of the health state of the electrolytic cell with high reliability is still a great challenge. In the long-term operation process of the electrolytic cell, the performance of the electrolytic cell is inevitably attenuated under the influence of multiple factors such as electrochemical reaction, uneven mass and heat transfer, material aging, working condition fluctuation and the like. This decay process is generally manifested as a voltage rise, a decrease in efficiency, and an increase in energy consumption. The current method for evaluating the health state of the electrolytic cell generally depends on an equivalent circuit model, has limited adaptability to complex working condition changes, and reduces detection accuracy. Therefore, the current method for detecting the health state of the electrolytic cell has the defect of low detection accuracy. Disclosure of Invention In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, a computer-readable storage medium, and a computer program product for detecting the health state of an electrolytic cell, which can improve the detection accuracy. In a first aspect, the present application provides a method for detecting the health status of an electrolytic cell, comprising: Acquiring a time domain signal and a frequency domain signal corresponding to an electrolytic cell to be detected, wherein the time domain signal comprises high-frequency impedance and oxygen flow when the electrolytic cell operates, and the frequency domain signal comprises impedance spectrum of the electrolytic cell; each node in the node relation diagram is determined based on the high-frequency impedance and the oxygen flow in the time domain signal, the impedance spectrum in the frequency domain signal and the real-time health state node of the electrolytic cell; And the detection model is used for outputting a health state detection result corresponding to the electrolytic cell according to the node relation diagram. In a second aspect, the present application also provides an electrolytic cell health status detection device, including: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a time domain signal and a frequency domain signal which correspond to an electrolytic cell to be detected, the time domain signal comprises high-frequency impedance and oxygen flow when the electrolytic cell operates, and the frequency domain signal comprises impedance spectrum of the electrolytic cell; The system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring a node relation diagram corresponding to the health state of the electrolytic cell; the detection model is used for outputting a health state detection result corresponding to the electrolytic cell according to the node relation diagram. In a third aspect, the present application also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program. In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method described above. In a fifth aspect, the application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described above. The method, the device, the computer equipment, the computer readable storage medium and the computer program product for detecting the health state of the electrolytic cell are used for constructing a node relation diagram based on the frequency domain signals such as the high-frequency impedance and the oxygen flow of the electrolytic cell