Electrolytic tank detection and evaluation method and device, storage medium and electronic equipment

Abstract

The invention relates to the technical field of solid oxide fuel cells, and provides a detection and evaluation method of an electrolytic cell, and the detection and evaluation method comprises the following steps: placing a detection element in the electrolytic cell, operating the electrolytic cell under a first preset condition, and detecting the electrolytic cell through the detection element to obtain a first detection parameter; inputting the first detection parameter into the data feature model, and processing the first detection parameter to obtain first processing data; operating the electrolytic tank under a second preset condition, and detecting the electrolytic tank through the detection element to obtain a second detection parameter; inputting the second detection parameter into the data feature model for processing to obtain second processing data, and obtaining an evaluation parameter according to the second processing data and the first processing data; and evaluating and predicting the performance of the electrolytic tank based on the evaluation parameters. The microelectrode is used for detection, monitoring and feedback of local features or local problems of the electrolytic tank are achieved, and evaluation and prediction of the performance of the electrolytic tank are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of solid oxide fuel cells, and particularly to a method for detecting and evaluating an electrolytic cell, a device for detecting and evaluating an electrolytic cell, a storage medium, and an electronic device. Background Art

[0002] At present, in the methods for detecting the working conditions of an electrolytic cell, usually, a potentiometer or a pH meter and other devices are manually used to measure the potential difference between the two electrodes of the electrolytic cell, or an ammeter or a power meter and other devices are used to measure the current of the electrolytic cell, so as to judge the working state of the electrolytic cell. However, these methods all require manual detection, the operation is relatively cumbersome, and due to different detection parts and methods, the detection results are also different, thus resulting in the inability to analyze the actual operating conditions of the electrolytic cell in real time and accurately, and unable to evaluate and predict the performance of the electrolytic cell. Summary of the Invention

[0003] In view of this, the present application provides a method for detecting and evaluating an electrolytic cell, a device for detecting and evaluating an electrolytic cell, a storage medium, and an electronic device.

[0004] Specifically, the present application is implemented by the following technical solutions:

[0005] According to the first aspect of the present application, there is provided a method for detecting and evaluating an electrolytic cell, the detection and evaluation method comprising:

[0006] A detection element is placed in the electrolytic cell. Under a first preset condition, the electrolytic cell is operated, and the electrolytic cell is detected by the detection element to obtain a first detection parameter; the first detection parameter is input into a data feature model, and the first detection parameter is processed to obtain first processed data; under a second preset condition, the electrolytic cell is operated, and the electrolytic cell is detected by the detection element to obtain a second detection parameter; the second detection parameter is input into the data feature model for processing to obtain second processed data, and an evaluation parameter is obtained according to the second processed data and the first processed data; the performance of the electrolytic cell is evaluated and predicted based on the evaluation parameter.

[0007] According to the second aspect of the present application, there is provided a device for detecting and evaluating an electrolytic cell, the detection and evaluation device comprising: an acquisition module, configured to acquire a first detection parameter obtained by detecting the electrolytic cell by the detection element under a first preset condition; and configured to acquire a second detection parameter obtained by detecting the electrolytic cell by the detection element under a second preset condition; a processing module, configured to process the first detection parameter input into the data feature model; and configured to process the second detection parameter input into the data feature model; a comparison module, configured to compare the second processed data with the first processed data; and an evaluation module, configured to evaluate and predict the performance of the electrolytic cell according to the evaluation parameter.

[0008] According to a third aspect of the present application, a storage medium is provided for performing the steps of the method for detecting and evaluating an electrolytic cell in any possible implementation manner of the first aspect.

[0009] According to a fourth aspect of the present application, an electronic device is provided for performing the steps of the method for detecting and evaluating an electrolytic cell in any possible implementation manner of the first aspect.

[0010] The technical solution provided by the present application at least brings the following beneficial effects:

[0011] By installing a detection element inside the electrolytic cell, the detection element is specifically a microelectrode, and the electrolytic cell is specifically a solid oxide electrolytic cell. The stability of the solid oxide electrolytic cell is detected by using the microelectrode, and the working process of the solid oxide electrolytic cell is detected by the microelectrode, effectively evaluating and predicting the performance of the solid oxide electrolytic cell. It can be understood that the microelectrode is usually very small and has high resolution, and can realize local current monitoring of the electrolyte and electrode interface. This helps to more detailedly understand the performance and behavior of the microscopic region during the electrolysis process of the solid oxide electrolytic cell. The microelectrode can provide real-time current measurement, enabling researchers to immediately observe the performance changes of the electrolytic cell. This helps to timely discover and correct factors that may cause stability problems, achieving the purpose of real-time feedback. And, those skilled in the art should know that during the electrolysis process or working process of the solid oxide electrolytic cell, there may be non-uniformity or local performance differences, and by using the microelectrode for detection, the microelectrode allows local characterization in a specific area to reveal the heterogeneity of the electrolyte and electrode interface, realizing the monitoring and feedback of the local characteristics or local problems existing in the solid oxide electrolytic cell. The microelectrode can be used to study the polarization behavior of the solid oxide electrolytic cell, including the construction of polarization curves to determine the performance stability of the electrolytic cell at different potentials. Through the microelectrode, the degradation mechanism that causes the performance decline and lifespan shortening of the electrolytic cell can be studied more deeply. This helps to improve materials and designs to enhance the stability of the electrolytic cell. The real-time monitoring of the microelectrode allows researchers to adjust the operating conditions to optimize the performance and stability of the electrolytic cell. This includes the optimization of operating parameters such as temperature, atmosphere, potential, etc. In addition, the microelectrode measurement has high reliability and repeatability, which is very important for conducting long-term stability studies to determine the long-term performance of the electrolytic cell. The microelectrode can be used to locate areas in the electrolytic cell where problems may exist, such as local blockage, loss of electrode activity, etc., and help solve these problems. In summary, using the microelectrode to detect the stability of the solid oxide electrolytic cell can provide more accurate, real-time and local performance information, helping to improve the design and operation of the electrolytic cell to achieve longer lifespan and higher efficiency applications. This is very important for developing the solid oxide electrolytic cell as a key component of energy conversion and storage technologies. Description of the Drawings

[0012] The accompanying drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0013] To more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the following will briefly introduce the accompanying drawings required for use in the embodiments or the description of related technologies. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0014] Figure 1 It is a schematic flowchart of a detection and evaluation method for an electrolytic cell provided by an embodiment of the present application;

[0015] Figure 2 It is a structural block diagram of a detection and evaluation device for an electrolytic cell provided by an embodiment of the present application;

[0016] Figure 3 It is a structural block diagram of an electronic device provided by an embodiment of the present application.

[0017] Among them, Figures 1 to 3 The corresponding relationship between the reference numerals and the component names in the drawings is as follows:

[0018] 200 Detection and evaluation device, 210 Acquisition module, 220 Processing module, 230 Comparison module, 240 Evaluation module, 300 Electronic device, 310 Memory, 320 Processor. Detailed implementation manners

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0020] See Figure 1 , an embodiment of the present application provides a detection and evaluation method for an electrolytic cell. The detection and evaluation method for the electrolytic cell includes the following steps:

[0021] S102. Place a detection element in the electrolytic cell, operate the electrolytic cell under a first preset condition, and detect the electrolytic cell through the detection element to obtain a first detection parameter;

[0022] S104. Input the first detection parameter into the data feature model, process the first detection parameter to obtain first processed data;

[0023] S106. Under the second preset condition, operate the electrolytic cell, and detect the electrolytic cell through the detection element to obtain the second detection parameter;

[0024] S108. Input the second detection parameter into the data feature model for processing to obtain the second processed data;

[0025] S110. Obtain the evaluation parameter according to the second processed data and the first processed data;

[0026] S112. Evaluate and predict the performance of the electrolytic cell based on the evaluation parameter.

[0027] In this embodiment, a detection and evaluation method for an electrolytic cell is provided, which is used to detect and evaluate a solid oxide electrolytic cell. Specifically, in this application, the detection element is installed inside the electrolytic cell, and the detection element is used to detect the current, voltage or potential of the electrolyte inside the electrolytic cell. The detected detection parameter is transmitted to the data acquisition device, and the data acquisition device inputs the detected detection parameter acquired into the data feature model for data cleaning and feature extraction to form processed data. The processed data can more accurately reflect the dynamic changes in the internal electrolyte electrolysis process of the electrolytic cell during operation, including reaction rate, catalytic activity and resistance, etc.

[0028] Specifically, under the first preset condition, operate the electrolytic cell, and detect the electrolytic cell through the detection element to obtain the first detection parameter, that is, operate the electrolytic cell under standard conditions, so that the electrolytic cell works under standard conditions. For example, setting the temperature between 500 °C and 800 °C and the voltage between 400 V and 900 V as the standard operating conditions. At this time, the electrolytic cell is detected through the detection element, and the first detection parameter is detected. The first detection parameter can be a current parameter, a voltage parameter and a potential parameter. It can also be understood that the current value, voltage value or potential value flowing through the detection element during the reaction of the electrolytic cell. Further, the first detection parameter detected by the detection element is input into the data feature model for processing to obtain the first processed data. Compared with the first detection parameter, the first processed data can more accurately reflect the dynamic changes in the working process of the electrolytic cell.

[0029] Under the second preset condition, the electrolytic cell is operated, and the electrolytic cell is detected by the detection element to obtain the second detection parameter, that is, the electrolytic cell is operated under non-standard conditions, so that the electrolytic cell works under non-standard conditions, which can be understood as the actual operating state of the electrolytic cell or the experimental operating state. By operating the electrolytic cell under the second preset condition, such as setting the temperature between 400°C and 500°C and the voltage between 300V and 400V as the experimental operating conditions, or setting the temperature between 800°C and 900°C and the voltage between 900V and 1000V as the experimental operating conditions. At this time, the electrolytic cell is detected by the detection element, and the second detection parameter is obtained. The second detection parameter can be a current parameter, a voltage parameter, and a potential parameter, which can be understood as the current value, voltage value, or potential value flowing through the detection element during the reaction process of the electrolytic cell. Further, the second detection parameter detected by the detection element is input into the data feature model for processing to obtain the second processed data. Compared with the second detection parameter, the second processed data can more accurately reflect the dynamic changes of the electrolytic cell during operation.

[0030] Further, an evaluation parameter is obtained based on the second processed data and the first processed data, that is, the second processed data is compared with the first processed data. Through the deviation value between the second processed data and the first processed data, the difference between the operating state of the electrolytic cell under experimental conditions and the operating state of the electrolytic cell under standard conditions is compared. Through the comparison, the performance and stability of the electrolytic cell under different conditions can be seen. Furthermore, the working state of the electrolytic cell under different conditions can be evaluated and monitored. This is convenient for researchers to adjust the operating conditions in real time to optimize the performance and stability of the electrolytic cell. Specifically, the operating condition parameters such as temperature, atmosphere, and potential can be optimized to achieve the purpose of optimizing the performance and stability of the electrolytic cell.

[0031] Specifically, the detection element can be specifically a microelectrode, and the electrolytic cell can be specifically a solid oxide electrolytic cell. By using the deviation value between the second processed data and the first processed data to compare the difference between the operating state of the electrolytic cell under experimental conditions and the operating state of the electrolytic cell under standard conditions, it can be understood that a change curve is drawn through the deviation value between the second processed data and the first processed data, and the stability of the operating state of the electrolytic cell under experimental conditions and standard conditions, the internal electron and ion transport in the electrolytic cell, the electrode reaction rate, and the performance of the electrolytic cell are judged through the change trend of the curve, so as to realize the real-time monitoring of the electrolytic cell, diagnose possible problems inside the electrolytic cell, and diagnose and solve potential problems at an early stage. At the same time, it helps to improve the design and operation of the electrolytic cell to achieve longer life and higher efficiency applications. By changing different operating conditions of the electrolytic cell, such as experimental conditions such as temperature, atmosphere, and potential, the performance and response of the solid oxide electrolytic cell are studied. This helps to understand its electrolysis process and stability.

[0032] In summary, in the method of the present application for detecting the electrolyte working parameters inside the electrolytic cell using the built-in detection element, since this method covers the process of operating the electrolytic cell under different preset conditions and collecting its performance data, this helps to obtain comprehensive information about the performance of the electrolytic cell. The preset conditions can include different electrolyte types, voltages, temperatures, etc., so as to be able to more comprehensively evaluate the performance of the electrolytic cell.

[0033] Moreover, by using the detection element and the data feature model, this method can objectively process and evaluate the data. The data feature model can process the detected parameters based on a large amount of data and algorithms and generate objective evaluation results, thus avoiding the influence of subjective judgment.

[0034] In addition, by comparing the performance data of the electrolytic cell under different preset conditions, this method can more accurately evaluate and predict the performance of the electrolytic cell. At the same time, by using advanced data analysis tools such as the data feature model, the data can be processed and analyzed more accurately, so as to obtain more accurate evaluation results.

[0035] Furthermore, since this method is evaluated based on preset conditions and the data feature model, it can be repeated at different times and under different experimental conditions. This helps to verify the reliability and consistency of the evaluation results, and also helps to compare and analyze different electrolytic cells.

[0036] In addition, according to the obtained evaluation parameters, this method can not only evaluate the performance of the electrolytic cell under the current conditions, but also predict its performance under future conditions. This helps to understand and predict the performance of the electrolytic cell in different situations in advance, so as to better plan and optimize its application scenarios.

[0037] In some embodiments, the first preset condition is the temperature and voltage required for the electrolytic cell to operate in a normal working state.

[0038] In this embodiment, by setting the first preset condition as the temperature and voltage required for the electrolytic cell to operate in a normal working state, that is, setting the electrolytic cell to operate under standard conditions, it can be understood that the temperature, voltage, and other conditions for the electrolytic cell to operate under normal conditions can also be regarded as the reference conditions or standard conditions for the operation of the electrolytic cell. By setting the first preset condition as the temperature and voltage required for the electrolytic cell to operate in a normal working state, the operating state of the electrolytic cell under the reference conditions is detected by a detection element to obtain detection parameters. The detection parameters can be current parameters, voltage parameters, and potential parameters, that is, the current value, voltage value, or potential value flowing through the detection element during the reaction process of the electrolytic cell, so as to obtain the data of the electrolytic cell operating under the reference conditions. The detection parameters detected by the detection element are input into the data feature model for processing to obtain processed data. Compared with the detection parameters, the processed data can more accurately reflect the dynamic changes during the operation of the electrolytic cell, so as to obtain the parameters of the electrolytic cell operating under the reference conditions, providing a theoretical basis for the experimental operation of the electrolytic cell under different conditions. Thus, when the electrolytic cell is operated under different conditions, by comparing with the operating state under the reference conditions, the stability and performance of the electrolytic cell under different conditions can be judged or evaluated. In this way, the designer analyzes the influence of different experimental conditions on the performance and stability of the electrolytic cell, realizes the real-time detection of the stability of the electrolytic cell, can more deeply study the degradation mechanism leading to the performance decline and life shortening of the electrolytic cell, helps to improve the materials and design to improve the stability of the electrolytic cell, and at the same time helps to improve the design and operation of the electrolytic cell to achieve longer life and higher efficiency applications.

[0039] In some embodiments, the second preset condition is the temperature and voltage required for the electrolytic cell to operate in an actual working state.

[0040] In this embodiment, the second preset condition is set as the temperature and voltage required for the electrolytic cell to operate under the actual working state. That is, setting the electrolytic cell to operate under experimental conditions or actual conditions can be understood as the conditions such as temperature and voltage for the electrolytic cell to operate under experimental conditions. It can also be considered that the second preset condition is different experimental conditions for the electrolytic cell to operate. By setting the second preset condition as the temperature and voltage required for the electrolytic cell to operate under the actual working state, the operating state of the electrolytic cell under the reference condition is detected by the detection element to obtain detection parameters. The detection parameters can be current parameters, voltage parameters, and potential parameters. That is, the current value, voltage value, or potential value flowing through the detection element during the reaction process of the electrolytic cell, so as to obtain the data of the electrolytic cell operating under experimental conditions. The detection parameters detected by the detection element are input into the data feature model for processing to obtain processed data. Compared with the detection parameters, the processed data can more accurately reflect the dynamic changes during the working process of the electrolytic cell under experimental conditions, so as to obtain the parameters of the electrolytic cell operating under experimental conditions. By comparing with the operating state under the reference condition, the stability and performance of the electrolytic cell under different conditions can be judged or evaluated. In this way, the designer analyzes the influence of different experimental conditions on the performance and stability of the electrolytic cell, realizes the real-time detection of the stability of the electrolytic cell, can more deeply study the degradation mechanism leading to the performance decline and life shortening of the electrolytic cell, helps to improve the materials and design to improve the stability of the electrolytic cell, and at the same time helps to improve the design and operation of the electrolytic cell to achieve longer life and higher efficiency applications.

[0041] In some embodiments, the detection element is a microelectrode.

[0042] In this embodiment, the detection element can be specifically set as a microelectrode, and the electrolytic cell can be specifically a solid oxide electrolytic cell. A microelectrode is a tiny electrode used for electrochemical research and analysis. It has the characteristics of small size, high sensitivity, and high resolution, and is commonly used to study microscopic electrochemical processes. The working principle of a microelectrode is similar to that of a conventional electrode, but due to its small size, there is usually a higher current density and a larger electric field gradient. This enables the microelectrode to provide higher sensitivity to detect low-concentration analytes. The microelectrode can be used to monitor in real time the electrochemical parameters such as current, voltage, and potential in the solid oxide electrolytic cell. This helps to understand the dynamic changes in the electrolysis process, and the dynamic changes include reaction rate, catalytic activity, and resistance, etc. The microelectrode can also help to identify performance problems in the solid oxide electrolytic cell, such as local current deviation, voltage loss, or local impedance. By determining the root cause of the problem, researchers can take appropriate measures to improve the efficiency and stability of the solid oxide electrolytic cell. In addition, microelectrode monitoring can be used to optimize the working conditions of the solid oxide electrolytic cell, such as determining the optimal working temperature, atmosphere, and current density. This helps to improve the efficiency and stability of the solid oxide electrolytic cell.

[0043] Specifically, those skilled in the art should be aware that solid oxide electrolyzers can efficiently convert electrical energy into hydrogen, providing a viable approach for clean and green hydrogen energy production. Hydrogen, as an efficient energy medium, can be used for fuel cell power generation, fuel storage, and industrial applications, contributing to the reduction of carbon emissions and the use of fossil fuels. However, solid oxide electrolyzers operate under high temperatures and extreme environments, and their performance may be affected by various factors, such as material instability, gas leakage, and changes in electrode catalytic activity. The materials used in the electrolyzer need to maintain stability in an environment of high temperature, oxygen, and current. Monitoring the operating state of the electrolyzer using microelectrodes, since microelectrodes are usually extremely thin electrodes, can be installed in the electrolyzer to monitor the electrochemical changes inside the cell in real time. These microelectrodes can be installed at different parts of the solid oxide electrolyzer to monitor the performance changes at different positions. Since microelectrodes are usually very small and have high resolution, they can achieve local current monitoring of the electrolyte and electrode interface. This helps to understand the performance and behavior of the microscopic regions during the electrolysis process in more detail. In addition, microelectrodes can provide real-time current measurements, enabling researchers to immediately observe the performance changes of the electrolyzer, which helps to promptly detect and correct factors that may lead to stability problems. Moreover, due to the possible non-uniformity or local performance differences in solid oxide electrolyzers. Microelectrodes allow for local characterization in specific regions to reveal the heterogeneity of the electrolyte and electrode interface. Microelectrodes can be used to study the polarization behavior of the electrolyzer, including the construction of polarization curves, to determine the performance stability of the electrolyzer at different potentials. By setting multiple microelectrodes inside the electrolyzer, the degradation mechanisms that lead to the performance decline and shortened lifespan of the electrolyzer can be studied more deeply. This helps to improve materials and designs to enhance the stability of the electrolyzer. And the real-time monitoring of microelectrodes allows researchers to adjust the operating conditions to optimize the performance and stability of the electrolyzer. This includes the optimization of operating parameters such as temperature, atmosphere, and potential. Microelectrode measurements have high reliability and repeatability, which is very important for conducting long-term stability studies to determine the long-term performance of the electrolyzer. Microelectrodes can be used to locate areas in the electrolyzer where problems may exist, such as local blockages and loss of electrode activity, and help to solve these problems.

[0044] In summary, the microelectrode can monitor the electrochemical reactions of solid oxide electrolytic cells in real time by measuring current, voltage, and potential. This information can provide key information about electron and ion transport inside the cell, the rate of electrode reactions, and the performance of the cell. Achieving real-time monitoring of solid oxide electrolytic cells and diagnosing possible problems inside solid oxide electrolytic cells can not only evaluate the performance of the electrolytic cell in real time, but also be used to study the properties such as material corrosion and oxygen ion migration, and evaluate the durability and lifespan of the material, discover potential problems, and take timely measures. That is to say, using microelectrodes to detect the stability of solid oxide electrolytic cells can provide more accurate, real-time, and local performance information, which helps to improve the design and operation of electrolytic cells to achieve longer lifespan and higher efficiency applications. This is very important for developing solid oxide electrolytic cells as key components of energy conversion and storage technologies.

[0045] In some embodiments, the diameter of the microelectrode is between 10 μm and 50 μm.

[0046] In this embodiment, the diameter of the microelectrode is between 10 μm and 50 μm. Specifically, the diameter of the microelectrode can be set to 10 μm, 11 μm, 15 μm, 18 μm, 20 μm, 24 μm, 28 μm, 30 μm, 35 μm, 39 μm, 40 μm, 45 μm, 50 μm, etc., and can be set according to actual usage and will not be elaborated here.

[0047] In some embodiments, the length of the microelectrode is between 1 cm and 5 cm.

[0048] In this embodiment, the length of the microelectrode is between 1 cm and 5 cm. Specifically, the length of the microelectrode can be set to 1 cm, 1.1 cm, 1.2 cm, 1.3 cm, 1.5 cm, 1.8 cm, 2 cm, 2.1 cm, 2.5 cm, 3 cm, 3.5 cm, 3.9 cm, 4 cm, 4.5 cm, 4.8 cm, 4.9 cm, 5 cm, etc., and can be set according to actual usage and will not be elaborated here. The microelectrode can be fabricated by micro-nano processing technology to ensure precise control of its size and shape.

[0049] In some embodiments, a detection element is disposed inside the electrolytic cell, including: installing the detection element on the electrolyte film of the electrolytic cell based on the size parameters of the electrolyte in the electrolytic cell.

[0050] In this embodiment, a detection element is placed inside the electrolytic cell, including: based on the size parameters of the electrolyte in the electrolytic cell, the detection element is installed on the electrolyte film of the electrolytic cell. That is to say, the number of microelectrodes to be installed is determined according to the size of the electrolyte in the electrolytic cell, so that the microelectrodes can detect the electrolyte at each part of the electrolytic cell, avoiding missed blind spots, achieving comprehensive detection of the electrolytic cell, and improving the comprehensiveness and accuracy of the detection of the electrolytic cell.

[0051] Specifically, first, microelectrodes are prepared. Microelectrodes are usually electrodes on the nanoscale and are used for local current measurement on the electrolyte film. The microelectrodes can be prepared by micro-nano processing technology to ensure precise control of their size and shape. When the microelectrodes are arranged inside the electrolytic cell, multiple microelectrodes can be evenly arranged inside the electrolytic cell, or they can be arranged at intervals inside the electrolytic cell, as long as all the internal changes of the electrolytic cell can be reflected. The specific installation form can be set according to actual needs. In addition, when installing and positioning the microelectrodes on the electrolyte film, in order to ensure good contact between the electrodes and the electrolyte, a microscope or other precise device is also needed to assist in positioning to achieve a better installation effect and improve the detection accuracy of the microelectrodes.

[0052] In some embodiments, after the detection element is installed on the electrolyte film of the electrolytic cell, the detection and evaluation method further includes: electrically connecting the detection element to obtain the detection parameters of the detection element in real time.

[0053] In this embodiment, electrically connecting the detection element to obtain the detection parameters of the detection element in real time can be understood as that after the detection element is installed on the electrolyte film of the electrolytic cell, the detection and evaluation method further includes: electrically connecting the detection element and the data acquisition device through a connecting cable to obtain the detection parameters of the detection element through the data acquisition device. That is, after the microelectrodes are installed on the electrolyte film of the electrolytic cell, the detection element and the data acquisition device are electrically connected through a connecting cable or a connecting wire to obtain the detection parameters of the detection element through the data acquisition device, so as to realize the real-time transmission of the monitoring data of the microelectrodes for researchers to collect, process, analyze and evaluate.

[0054] In some embodiments, after the detection element is installed on the electrolyte film of the electrolytic cell, the detection and evaluation method further includes: performing a packaging process on the electrolytic cell.

[0055] In this embodiment, after the detection element is installed on the electrolyte film of the electrolytic cell, the detection and evaluation method further includes: performing a packaging process on the electrolytic cell, that is, after the microelectrode is installed inside the electrolytic cell, the electrolytic cell needs to be packaged. Since electrolytic cell samples usually need to operate under high temperature and high pressure, sealing must be carried out to maintain the experimental conditions. A suitable packaging material is used to ensure the stability of the electrolyte and the microelectrode. By performing a packaging process on the electrolytic cell, the microelectrode is stably installed in the electrolytic cell, improving the stability and safety of microelectrode detection.

[0056] In some embodiments, detecting the electrolytic cell by the detection element includes: detecting the local current, local voltage or local potential of the electrolytic cell.

[0057] In this embodiment, detecting the electrolytic cell by the detection element includes detecting the local current, local voltage or local potential of the electrolytic cell. That is to say, when detecting the electrolytic cell by a detection element such as a microelectrode, the local current, local voltage or local potential of the electrolytic cell can be detected, and thus the detection parameters sent out by the detection element are also detection parameters such as local current, local voltage or local potential.

[0058] In some embodiments, the first detection parameter includes: one or any combination of a current parameter, a voltage parameter and a potential parameter.

[0059] In this embodiment, the first detection parameter can be one or more of a current parameter, a voltage parameter and a potential parameter, expanding the range of detection of the electrolytic cell by the microelectrode.

[0060] In some embodiments, the second detection parameter includes: one or any combination of a current parameter, a voltage parameter and a potential parameter.

[0061] In this embodiment, the second detection parameter can be one or more of a current parameter, a voltage parameter and a potential parameter, expanding the range of detection of the electrolytic cell by the microelectrode.

[0062] In some embodiments, inputting the first detection parameter into the data feature model to process the first detection parameter to obtain first processed data includes: preprocessing the first detection parameter, and the preprocessing includes data cleaning, feature extraction and normalization processing.

[0063] In this embodiment, the first detection parameter is input into the data feature model for processing to obtain the first processed data, including: preprocessing the first detection parameter, where the preprocessing includes data cleaning, feature extraction, and normalization. Specifically, a data feature model can be established first. The specific model construction is based on the processed current data, and a suitable machine learning algorithm or neural network model is selected for modeling to reveal the patterns and features in the current data. The constructed model is evaluated, including evaluating indicators such as the accuracy, robustness, and generalization performance of the model, to determine the effectiveness and reliability of the model. According to the evaluation results, the model is optimized and adjusted to improve the performance and accuracy of the model. Then, the collected current data is preprocessed, including operations such as data cleaning, feature extraction, and normalization. Using the data feature model to process the detection parameter can be understood as removing invalid, incorrect, or duplicate data to improve the quality and reliability of the data. Extract meaningful features from the data, which can include numerical features, text features, image features, etc. Organize and integrate the extracted features to construct a feature set that can reflect the overall characteristics of the data. Select the most valuable features from the feature set for a specific task and goal, remove irrelevant or redundant features, and improve accuracy and efficiency. Describe and interpret the selected features to better understand the characteristics and patterns of the data.

[0064] In some embodiments, the second detection parameter is input into the data feature model for processing to obtain the second processed data, including: preprocessing the second detection parameter, where the preprocessing includes data cleaning, feature extraction, and normalization.

[0065] In this embodiment, the second detection parameter is input into the data feature model for processing to obtain the second processed data, including: preprocessing the second detection parameter, where the preprocessing includes data cleaning, feature extraction, and normalization. The data feature model can remove invalid, incorrect, or duplicate data to improve the quality and reliability of the data. Extract meaningful features from the data, which can include numerical features, text features, image features, etc. Organize and integrate the extracted features to construct a feature set that can reflect the overall characteristics of the data. Select the most valuable features from the feature set for a specific task and goal, remove irrelevant or redundant features, and improve accuracy and efficiency. Describe and interpret the selected features to better understand the characteristics and patterns of the data.

[0066] In some embodiments, an evaluation parameter is obtained based on the second processed data and the first processed data, including: comparing the second processed data with the first processed data to obtain the difference between the second processed data and the first processed data, and determining the difference as the evaluation parameter.

[0067] In this embodiment, an evaluation parameter is obtained based on the second processed data and the first processed data, including: comparing the second processed data with the first processed data to obtain the difference between the second processed data and the first processed data, and determining the difference as the evaluation parameter. That is to say, the second processed data is compared with the first processed data, and the deviation value between the second processed data and the first processed data is used to compare the operating state of the electrolytic cell under experimental conditions with the operating state of the electrolytic cell under standard conditions. Through comparison, the performance and stability of the electrolytic cell under different conditions can be seen. Furthermore, the working state of the electrolytic cell under different conditions can be evaluated and monitored. This facilitates researchers to adjust the operating conditions in real time to optimize the performance and stability of the electrolytic cell. Specifically, the operating condition parameters such as temperature, atmosphere, potential, etc. are optimized.

[0068] Specifically, the deviation value between the second processed data and the first processed data is used to compare the operating state of the electrolytic cell under experimental conditions with the operating state of the electrolytic cell under standard conditions. It can be understood that a change curve is drawn based on the deviation value between the second processed data and the first processed data, and the stability of the operating state of the electrolytic cell under experimental conditions and standard conditions, or the electron and ion transport inside the electrolytic cell, the electrode reaction rate, and the performance of the electrolytic cell are judged through the change trend of the curve, so as to realize real-time monitoring of the electrolytic cell, diagnose possible problems inside the electrolytic cell, and diagnose and solve potential problems at an early stage. At the same time, it helps to improve the design and operation of the electrolytic cell to achieve longer life and higher efficiency applications. By changing different operating conditions of the electrolytic cell, such as experimental conditions like temperature, atmosphere, potential, etc., the performance and response of the solid oxide electrolytic cell are studied. This helps to understand its electrolysis process and stability.

[0069] In some embodiments, the performance of the electrolytic cell is evaluated and predicted based on the evaluation parameter, including: comparing the evaluation parameter with a preset parameter table, and completing the evaluation and prediction of the performance of the electrolytic cell based on the comparison result.

[0070] In this embodiment, the performance of the electrolytic cell is evaluated and predicted based on the evaluation parameter, including comparing the evaluation parameter with a preset parameter table, and completing the evaluation and prediction of the performance of the electrolytic cell based on the comparison result. That is, the performance of the electrolytic cell under standard conditions is pre-recorded in the preset parameter table. By comparing with the operating state under standard conditions, the stability and performance of the electrolytic cell under different conditions can be judged or evaluated. In this way, designers analyze the influence of different experimental conditions on the performance and stability of the electrolytic cell, realize real-time detection of the stability of the electrolytic cell, can study more deeply the degradation mechanism leading to the performance decline and life shortening of the electrolytic cell, helps to improve materials and designs to improve the stability of the electrolytic cell, and at the same time helps to improve the design and operation of the electrolytic cell to achieve longer life and higher efficiency applications.

[0071] In some embodiments, the preset parameter table includes the performance of the electrolytic cell under standard operating conditions.

[0072] In this embodiment, the preset parameter table includes the performance of the electrolytic cell under standard operating conditions, which can also be understood as the performance of the electrolytic cell under benchmark conditions. By comparing with the operating state under standard conditions, the stability and performance of the electrolytic cell under different conditions can be judged or evaluated. In this way, designers can analyze the influence of different experimental conditions on the performance and stability of the electrolytic cell, realize real-time detection of the stability of the electrolytic cell, and can more deeply study the degradation mechanism that causes the performance decline and life shortening of the electrolytic cell, which helps to improve materials and designs to improve the stability of the electrolytic cell, and at the same time helps to improve the design and operation of the electrolytic cell to achieve longer life and higher efficiency applications.

[0073] Based on the same inventive concept, an embodiment of the present application further provides a detection and evaluation device 200 for an electrolytic cell. The detection and evaluation device 200 includes: an acquisition module 210, configured to acquire a first detection parameter obtained by a detection element detecting the electrolytic cell under a first preset condition; and, configured to acquire a second detection parameter obtained by the detection element detecting the electrolytic cell under a second preset condition; a processing module 220, configured to process the first detection parameter in the input data feature model; and, configured to process the second detection parameter in the input data feature model; a comparison module 230, configured to compare the second processed data with the first processed data; and an evaluation module 240, configured to evaluate and predict the performance of the electrolytic cell according to the evaluation parameters.

[0074] Specifically, by installing the detection element inside the electrolytic cell, the detection element is used to detect the current, voltage or potential of the electrolyte inside the electrolytic cell, and the detected detection parameters are transmitted to the acquisition module 210. The acquisition module 210 inputs the collected detection parameters into the processing module 220 for data cleaning and feature extraction to form processed data, and the processed data can more accurately reflect the dynamic changes of the internal electrolyte electrolysis process of the electrolytic cell during operation by the detection element, including reaction rate, catalytic activity and resistance, etc.

[0075] Specifically, under the first preset condition, the electrolytic cell is operated, and the electrolytic cell is detected by the detection element to obtain the first detection parameter, that is, the electrolytic cell is operated under standard conditions, so that the electrolytic cell works under standard conditions. For example, the set temperature is between 500 °C and 800 °C, and the voltage is between 400 V and 900 V as the standard operating conditions. At this time, the electrolytic cell is detected by the detection element, and the first detection parameter is obtained. The first detection parameter can be a current parameter, a voltage parameter, and a potential parameter. That is, the current value, voltage value, or potential value flowing through the detection element during the reaction of the electrolytic cell, so as to obtain the data of the electrolytic cell operating under standard conditions. Specifically, the acquisition module 210 inputs the first detection parameter detected by the detection element into the processing module 220 for processing to obtain the first processed data. Compared with the first detection parameter, the first processed data can more accurately reflect the dynamic changes of the electrolytic cell during operation.

[0076] Under the second preset condition, the electrolytic cell is operated, and the electrolytic cell is detected by the detection element to obtain the second detection parameter, that is, the electrolytic cell is operated under non-standard conditions, so that the electrolytic cell works under non-standard conditions. It can be understood as the actual operating state of the electrolytic cell or the experimental operating state. By operating the electrolytic cell under the second preset condition, for example, the set temperature is between 400 °C and 500 °C, and the voltage is between 300 V and 400 V as the experimental operating conditions, or the set temperature is between 800 °C and 900 °C, and the voltage is between 900 V and 1000 V as the experimental operating conditions. At this time, the electrolytic cell is detected by the detection element, and the second detection parameter is obtained. The second detection parameter can be a current parameter, a voltage parameter, and a potential parameter. That is, the current value, voltage value, or potential value flowing through the detection element during the reaction of the electrolytic cell, so as to obtain the data of the electrolytic cell operating under experimental conditions. Specifically, the acquisition module 210 inputs the second detection parameter detected by the detection element into the processing module 220 for processing to obtain the second processed data. Compared with the second detection parameter, the second processed data can more accurately reflect the dynamic changes of the electrolytic cell during operation.

[0077] Furthermore, the comparison module 230 obtains an evaluation parameter according to the second processed data and the first processed data. That is, the comparison module 230 compares the second processed data with the first processed data, and compares the difference between the operating state of the electrolytic cell under experimental conditions and the operating state of the electrolytic cell under standard conditions through the deviation value between the second processed data and the first processed data. Through comparison, the performance and stability of the electrolytic cell under different conditions can be seen. Furthermore, the evaluation module 240 evaluates and monitors the working state of the electrolytic cell under different conditions. It is convenient for researchers to adjust the operating conditions in real time to optimize the performance and stability of the electrolytic cell. Specifically, the operating condition parameters such as temperature, atmosphere, and potential are optimized.

[0078] Specifically, the electrolytic cell can be a solid oxide electrolytic cell. By comparing the deviation value between the second processed data and the first processed data, the difference between the operating state of the electrolytic cell under experimental conditions and that under standard conditions can be understood. That is, by plotting a change curve based on the deviation value between the second processed data and the first processed data, and judging the stability of the operating state of the electrolytic cell under experimental conditions and standard conditions, or the electron and ion transport inside the electrolytic cell, the electrode reaction rate, and the performance of the electrolytic cell through the change trend of the curve, so as to realize real-time monitoring of the electrolytic cell, diagnose possible problems inside the electrolytic cell, and diagnose and solve potential problems early. At the same time, it helps to improve the design and operation of the electrolytic cell to achieve longer life and higher efficiency applications. By changing different operating conditions of the electrolytic cell, such as temperature, atmosphere, potential and other experimental conditions, the performance and response of the solid oxide electrolytic cell are studied. This helps to understand its electrolysis process and stability.

[0079] In summary, this application uses the built-in detection element to detect the electrolyte working parameters inside the electrolytic cell, realizing the collection, comparison, and analysis of the performance data during the operation of the electrolytic cell under different preset conditions, which helps to obtain comprehensive information about the performance of the electrolytic cell. The preset conditions can include different electrolyte types, voltages, temperatures, etc., so as to be able to more comprehensively evaluate the performance of the electrolytic cell.

[0080] Moreover, by using the detection element and the data feature model, data can be objectively processed and evaluated. The data feature model can process the detection parameters based on a large amount of data and algorithms and generate objective evaluation results, thus avoiding the influence of subjective judgment.

[0081] In addition, by comparing the performance data of the electrolytic cell under different preset conditions, the performance of the electrolytic cell can be more accurately evaluated and predicted. At the same time, by using advanced data analysis tools such as the data feature model, data can be processed and analyzed more accurately, so as to obtain more accurate evaluation results.

[0082] In addition, the evaluation is based on preset conditions and the data feature model, so it can be repeated at different times and under different experimental conditions. This helps to verify the reliability and consistency of the evaluation results, and also helps to compare and analyze different electrolytic cells.

[0083] In addition, according to the obtained evaluation parameters, not only can the performance of the electrolytic cell under the current conditions be evaluated, but also its performance under future conditions can be predicted. This helps to understand and predict the performance of the electrolytic cell in different situations in advance, so as to better plan and optimize its application scenarios.

[0084] Based on the same inventive concept, an embodiment of the present application further provides a storage medium, on which a computer program is stored. When the program is executed by a processor 320, the steps of the detection and evaluation method in any one of the above embodiments are implemented.

[0085] Based on the same inventive concept, an embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program stored on the memory 310 and executable on the processor 320. When the processor 320 executes the program, the steps of the detection and evaluation method in any one of the above embodiments are implemented.

[0086] Although this specification contains many specific implementation details, these should not be construed as limiting the scope of any invention or the scope of what is claimed, but rather are mainly used to describe the features of specific embodiments of a particular invention. Certain features described in multiple embodiments in this specification may also be implemented in combination in a single embodiment. On the other hand, various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. In addition, although features may act in certain combinations as described above and are even initially claimed as such, one or more features from the claimed combination may in some cases be removed from the combination, and the claimed combination may be directed to a sub-combination or a variation of the sub-combination.

[0087] Similarly, although operations are depicted in the drawings in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or sequentially, or that all illustrated operations be performed, to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

[0088] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the acts recited in the claims may be performed in a different order and still achieve the desired result. In addition, the processes depicted in the drawings are not necessarily in the particular order or sequential order shown to achieve the desired result. In some implementations, multitasking and parallel processing may be advantageous.

[0089] It should be noted that in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the said element.

[0090] The above are only specific embodiments of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but rather will be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A detection and evaluation method for an electrolytic cell, characterized in that, Including: Place a detection element inside the electrolytic cell. Under the first preset condition, operate the electrolytic cell, and detect the electrolytic cell through the detection element to obtain a first detection parameter. Input the first detection parameter into the data feature model, and process the first detection parameter to obtain first processed data. Under the second preset condition, operate the electrolytic cell, and detect the electrolytic cell through the detection element to obtain a second detection parameter. Input the second detection parameter into the data feature model for processing to obtain second processed data. Obtain an evaluation parameter according to the second processed data and the first processed data. Evaluate and predict the performance of the electrolytic cell based on the evaluation parameter.

2. The detection and evaluation method according to claim 1, wherein The first preset condition is the temperature and voltage required for the electrolytic cell to operate in a normal working state.

3. The detection and evaluation method according to claim 1, wherein The second preset condition is the temperature and voltage required for the electrolytic cell to operate in an actual working state.

4. The detection and evaluation method according to claim 1, wherein The detection element is a microelectrode.

5. The detection and evaluation method according to claim 4, characterized in that The diameter of the microelectrode is between 10 μm and 50 μm.

6. The detection and evaluation method according to claim 4, characterized in that The length of the microelectrode is between 1 cm and 5 cm.

7. The detection and evaluation method according to claim 1, characterized in that Placing the detection element inside the electrolytic cell includes: Based on the size parameters of the electrolyte in the electrolytic cell, install the detection element on the electrolyte film of the electrolytic cell.

8. The detection and evaluation method according to claim 7, wherein After installing the detection element on the electrolyte film of the electrolytic cell, the detection and evaluation method further includes: Electrically connect the detection element to obtain the detection parameter of the detection element in real time.

9. The detection and evaluation method according to claim 7, wherein After installing the detection element on the electrolyte film of the electrolytic cell, the detection and evaluation method further includes: Perform a packaging process on the electrolytic cell.

10. The detection and evaluation method according to any one of claims 1 to 9, characterized in that Detecting the electrolytic cell through the detection element includes: Detect the local current, local voltage or local potential of the electrolytic cell.

11. The detection and evaluation method according to any one of claims 1 to 9, characterized in that, The first detection parameter includes one or any combination of current parameter, voltage parameter and potential parameter.

12. The detection and evaluation method according to any one of claims 1 to 9, characterized in that, The second detection parameter includes one or any combination of current parameter, voltage parameter and potential parameter.

13. The detection and evaluation method according to any one of claims 1 to 9, characterized in that, Inputting the first detection parameter into the data feature model and processing the first detection parameter to obtain first processed data includes: Preprocess the first detection parameter, and the preprocessing includes data cleaning, feature extraction and normalization processing.

14. The detection and evaluation method according to any one of claims 1 to 9, characterized in that, Inputting the second detection parameter into the data feature model for processing to obtain second processed data includes: Preprocess the second detection parameter, and the preprocessing includes data cleaning, feature extraction and normalization processing.

15. The detection and evaluation method according to any one of claims 1 to 9, characterized in that Obtaining the evaluation parameter according to the second processed data and the first processed data includes: Compare the second processed data with the first processed data, obtain the difference between the second processed data and the first processed data, and determine the difference as the evaluation parameter.

16. The detection and evaluation method according to any one of claims 1 to 9, characterized in that, Evaluating and predicting the performance of the electrolytic cell based on the evaluation parameter includes: Compare the evaluation parameter with the preset parameter table, and complete the evaluation and prediction of the performance of the electrolytic cell based on the comparison result.

17. The detection and evaluation method according to claim 16, characterized in that, The preset parameter table includes the performance of the electrolytic cell under standard operating conditions.

18. A detection and evaluation device (200) for an electrolytic cell, characterized in that, The detection and evaluation device (200) includes: An acquisition module (210) for acquiring a first detection parameter of the electrolytic cell detected by a detection element under a first preset condition; and for acquiring a second detection parameter of the electrolytic cell detected by the detection element under a second preset condition; A processing module (220) for processing the first detection parameter in the input data feature model; and for processing the second detection parameter in the input data feature model; A comparison module (230) for comparing the second processed data with the first processed data; An evaluation module (240) for evaluating and predicting the performance of the electrolytic cell according to evaluation parameters.

19. A storage medium, on which a computer program is stored, characterized in that, When the program is executed by a processor (320), the steps of the detection and evaluation method according to any one of claims 1 to 17 are implemented.

20. An electronic device (300), comprising a memory (310), a processor (320), and a computer program stored on the memory (310) and executable on the processor (320), characterized in that, When the processor (320) executes the program, the steps of the detection and evaluation method according to any one of claims 1 to 17 are implemented.

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