A method and apparatus for controlling the formation of an alkaline anion exchange membrane electrode assembly

Abstract

The application provides a film forming control method and device of an alkaline anion exchange membrane electrode assembly, relates to the technical field of electrode assembly preparation control, and comprises the following steps: obtaining the real-time micro-phase separation degree of a catalyst layer surface area of the alkaline anion exchange membrane electrode assembly in a current time period, an environmental working condition parameter, a target micro-phase separation degree and a physical property parameter of a film forming slurry in a film forming state; determining a target micro-phase separation degree deviation based on the difference between the real-time micro-phase separation degree and the target micro-phase separation degree, the environmental working condition parameter and the physical property parameter, and obtaining a target film forming control parameter; determining a target multi-cation crosslinking agent concentration in the film forming slurry based on the target film forming control parameter and the physical property parameter; and adjusting the film forming slurry in a next time period of the current time period based on the target multi-cation crosslinking agent concentration and the target film forming control parameter, and controlling the adjusted film forming slurry to form a film on the catalyst layer surface area. The application can improve the stability and consistency of film forming quality.

Description

Technical Field

[0001] This application relates to the field of electrode assembly fabrication control technology, and more specifically, to a method and apparatus for controlling the film formation of an alkaline anion exchange membrane electrode assembly. Background Technology

[0002] The film formation process of alkaline anion exchange membrane (AEM) electrode components directly determines the microphase separation structure and ion conduction performance of the membrane layer. Traditional film formation processes mostly adopt an open-loop control mode with preset fixed process parameters. By manually or through preset programs setting conditions such as temperature rise and solvent atmosphere, it is difficult to adapt to the influence of environmental fluctuations and changes in the physical properties of the film formation slurry in actual production. Not only can it not obtain the microphase separation state of the catalyst layer surface in real time and form deviation feedback, but it also cannot dynamically decide the film formation control parameters based on the microphase separation degree deviation, or optimize the crosslinking agent concentration in combination with the physical properties of the slurry. This easily leads to a mismatch between the phase separation process and the crosslinking reaction, ultimately resulting in poor consistency of film quality and unstable membrane performance, making it difficult to meet the industrial production requirements of high-performance electrode components. Summary of the Invention

[0003] The purpose of this application is to provide a method and apparatus for controlling the film formation of an alkaline anion exchange membrane electrode assembly, which solves the above-mentioned problems existing in the prior art and can improve the stability and consistency of film formation quality.

[0004] In a first aspect, a method for controlling the film formation of an alkaline anion exchange membrane electrode assembly is provided, the method comprising: The real-time microphase separation degree, environmental operating condition parameters, and target microphase separation degree of the catalyst layer surface region of the alkaline anion exchange membrane electrode assembly under the condition of film formation are obtained in the current time period, as well as the physical property parameters of the film-forming slurry used to coat the surface region of the catalyst layer. The deviation of the target microphase separation degree is determined based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as the environmental operating parameters and physical property parameters. The target microphase separation deviation is input into a pre-trained film formation control parameter decision model to obtain the target film formation control parameters. Based on the target film-forming control parameters and the physical property parameters, the concentration of the target multi-cationic crosslinking agent in the film-forming slurry is determined; Based on the target multi-cationic crosslinking agent concentration and the target film-forming control parameters, the film-forming slurry is adjusted in the next time period of the current time period, and the adjusted film-forming slurry is controlled to form a film on the surface area of ​​the catalyst layer.

[0005] In an optional implementation, the method for obtaining the real-time microphase separation degree includes: Obtain the original phase grayscale image of the catalyst layer surface region of the alkaline anion exchange membrane electrode assembly in the state to be formed; The original phase grayscale image is filtered and the grayscale value is linearly normalized to obtain the normalized phase grayscale image. The Otsu thresholding method was used to perform adaptive image segmentation on the normalized phase grayscale image to obtain images of the ion-conducting phase region and the hydrophobic phase region. By statistically analyzing the areas of the ion-conducting phase region image and the hydrophobic phase region image, the total area of ​​the ion-conducting phase and the total area of ​​the hydrophobic phase are obtained. The ratio of the total area of ​​the ion-conducting phase to the total area of ​​the hydrophobic phase is used as the real-time microphase separation degree.

[0006] In an optional implementation, the method for obtaining the target microphase separation degree includes: The target binding force of the alkaline anion exchange membrane electrode assembly is input into a pre-constructed mapping model of target microphase separation degree and target binding force to obtain the target microphase separation degree.

[0007] In an optional implementation, the film-forming slurry includes a casting solution and a crosslinking agent; The environmental operating parameters include: ambient temperature and relative ambient humidity; The physical properties include: casting solution aging time, slurry solid content, and ion exchange capacity.

[0008] In an optional implementation, the target microphase separation deviation is determined based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as the environmental operating parameters and physical property parameters, including: The difference between the real-time microphase separation degree and the target microphase separation degree is taken as the first deviation; The environmental operating parameters and the physical property parameters are input into a pre-constructed microphase separation degree deviation feedforward compensation model to obtain the second deviation; The sum of the first deviation and the second deviation is taken as the target microphase separation deviation.

[0009] In an optional implementation, determining the target multi-cationic crosslinking agent concentration in the film-forming slurry based on the target film-forming control parameters and the physical property parameters includes: The target film-forming control parameters and the physical property parameters are respectively input into the pre-trained interfacial bonding force prediction model and ionic conductivity prediction model to obtain the target concentration range of the crosslinking agent; Based on the configured optimization strategy, the optimal crosslinking agent concentration is screened within the target concentration range of the crosslinking agent to obtain the target multi-cationic crosslinking agent concentration in the film-forming slurry.

[0010] In an optional implementation, selecting the optimal crosslinking agent concentration within the target concentration range to obtain the target multi-cationic crosslinking agent concentration in the film-forming slurry includes: Calculate the dynamic threshold of critical micelle concentration based on the physical property parameters and the ambient temperature; The metastable range is calculated based on the dynamic threshold of critical micelle concentration; If the optimal crosslinking agent concentration is within the metastable range, then the optimal crosslinking agent concentration is determined as the standard multi-cationic crosslinking agent concentration.

[0011] Secondly, a film-forming control device for an alkaline anion exchange membrane electrode assembly is provided, the device comprising: The acquisition unit is used to acquire the real-time microphase separation degree, environmental operating condition parameters and target microphase separation degree of the catalyst layer surface area of ​​the alkaline anion exchange membrane electrode assembly in the current time period under the condition of film formation, as well as the physical property parameters of the film-forming slurry used to coat the surface area of ​​the catalyst layer. The first determining unit is used to determine the target microphase separation deviation based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as the environmental operating condition parameters and physical property parameters. The decision unit is used to input the target microphase separation deviation into the pre-trained film formation control parameter decision model to obtain the target film formation control parameters; The second determining unit is used to determine the concentration of the target multi-cationic crosslinking agent in the film-forming slurry based on the target film-forming control parameters and the physical property parameters; The control unit is configured to adjust the film-forming slurry in the next time period based on the target multi-cationic crosslinking agent concentration and the target film-forming control parameters, and control the adjusted film-forming slurry to form a film on the surface region of the catalyst layer.

[0012] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.

[0013] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.

[0014] This application utilizes real-time acquisition of microphase separation degree, environmental conditions, and film-forming slurry properties, along with a deviation calculation mechanism, to accurately quantify the actual difference between the film-forming state and the target state. This provides a closed-loop control basis for the film-forming process, effectively mitigating the adverse effects of environmental fluctuations and changes in raw material properties. Simultaneously, by relying on a deviation-driven intelligent decision-making model to determine film-forming control parameters and optimizing the concentration of multi-cation crosslinking agents based on slurry properties, a synergistic matching of phase separation kinetics and chemical crosslinking reactions can be achieved. This significantly improves the stability and consistency of film quality, ensuring the performance uniformity of the alkaline anion exchange membrane electrode assembly. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A schematic diagram of a film-forming control system for an alkaline anion exchange membrane electrode assembly provided in an embodiment of this application; Figure 2 A schematic flowchart illustrating a film formation control method for an alkaline anion exchange membrane electrode assembly provided in this application embodiment; Figure 3 A schematic diagram of a film-forming control device for an alkaline anion exchange membrane electrode assembly provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art. The words "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are only used to distinguish different components. The words "comprising" or "including," etc., mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, but do not exclude other elements or objects. The words "connected," "coupled," or "connected," etc., are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0018] The film formation control method for the alkaline anion exchange membrane electrode assembly provided in this application embodiment can be applied to... Figure 1 In the system architecture shown, such as Figure 1 As shown, the system may include multiple data acquisition components and a server; the multiple data acquisition components are used to acquire the real-time microphase separation degree, environmental operating condition parameters, and target microphase separation degree of the catalyst layer surface region of the alkaline anion exchange membrane electrode assembly in the current time period under the condition of film formation, as well as the physical property parameters of the film-forming slurry used to coat the surface region of the catalyst layer; the server is used to execute the film formation control method of the alkaline anion exchange membrane electrode assembly provided in the embodiments of this application; the server may be a physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0019] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0020] Figure 2This is a schematic flowchart illustrating a method for controlling the film formation of an alkaline anion exchange membrane electrode assembly, as provided in an embodiment of this application. Figure 2 As shown, the method may include: Step S210: Obtain the real-time microphase separation degree, environmental operating condition parameters, and target microphase separation degree of the catalyst layer surface area of ​​the alkaline anion exchange membrane electrode assembly in the current time period under the condition of film formation, as well as the physical property parameters of the film-forming slurry used to coat the catalyst layer surface area.

[0021] The film-forming slurry may include casting solution and crosslinking agent; environmental operating parameters may include: ambient temperature and relative ambient humidity; target microphase separation degree is used to ensure the ideal interface microstructure state that the alkaline anion exchange membrane electrode assembly is expected to achieve; physical property parameters may include: casting solution aging time, slurry solid content and ion exchange capacity.

[0022] In practice, ambient temperature and relative humidity are collected using temperature and humidity sensors installed in the coating machine, drying tunnel inlet, or preheating section of the alkaline anion exchange membrane electrode assembly preparation device. Ion exchange capacity is obtained by sampling and testing after the film-forming slurry is prepared, or by offline titration or continuous monitoring of near-infrared spectroscopy by online sensors; slurry solid content is obtained by detecting the prepared film-forming slurry with an online densitometer; slurry aging time is the cumulative time recorded by a timer from the completion of slurry preparation to its use. A method for obtaining real-time microphase separation can include: using atomic force microscopy (AFM) to perform high-resolution morphological scanning of the catalyst layer surface region of the alkaline anion exchange membrane electrode assembly in the film-forming state to obtain an original phase grayscale image; wherein each pixel in the original phase grayscale image corresponds to a phase grayscale value; removing scanning noise from the original phase grayscale image using mean filtering or Gaussian filtering to obtain a preprocessed phase grayscale image; linearly normalizing the grayscale values ​​in the preprocessed phase grayscale image to obtain a normalized phase grayscale image; using the Otsu thresholding method to perform adaptive image segmentation on the normalized phase grayscale image to obtain images of the ion-conducting phase region and the hydrophobic phase region; specifically, statistically analyzing the grayscale histogram of the normalized image, and automatically calculating the optimal grayscale segmentation threshold that maximizes the inter-class variance: statistically analyzing the grayscale histogram of the normalized image. The grayscale distribution histogram of all pixels in the phase grayscale image is calculated. The inter-class variance after dividing pixels into two classes by each threshold is calculated. The grayscale value that maximizes the inter-class variance is selected as the optimal segmentation threshold. The normalized phase grayscale image is binarized according to the optimal threshold: if the grayscale value is not less than the optimal segmentation threshold, the pixel corresponding to the grayscale value is marked as the ion-conducting phase; if the grayscale value is less than the optimal segmentation threshold, the pixel corresponding to the grayscale value is marked as the hydrophobic phase. The areas of the ion-conducting phase region image and the hydrophobic phase region image are counted to obtain the total area of ​​the ion-conducting phase and the total area of ​​the hydrophobic phase. Specifically, the number of pixels in the ion-conducting phase region image and the hydrophobic phase region image are counted respectively, and the total area of ​​the ion-conducting phase and the total area of ​​the hydrophobic phase are calculated based on the configured pixel physical size. The ratio of the total area of ​​the ion-conducting phase to the total area of ​​the hydrophobic phase is used as the real-time microphase separation degree. A method for obtaining the target microphase separation degree may include: inputting the target binding force of the alkaline anion exchange membrane electrode assembly configuration into a pre-constructed mapping model of target microphase separation degree and target binding force to obtain the target microphase separation degree; wherein, the mapping model of target microphase separation degree and target binding force is: PSD 目标 = (F+5.3) / 12.7; The mapping model between target microphase separation degree and target binding force is obtained by fitting and analyzing multiple sets of target microphase separation degrees and corresponding target binding forces.

[0023] Step S220: Determine the target microphase separation deviation based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as environmental operating parameters and physical property parameters.

[0024] In specific implementation, the difference between the real-time microphase separation degree and the target microphase separation degree is taken as the first deviation; environmental operating parameters and physical property parameters are input into the pre-constructed microphase separation degree deviation feedforward compensation model to obtain the second deviation; wherein, the microphase separation degree deviation feedforward compensation model is obtained through regression analysis of historical data, and can be: ;in, Indicates the second deviation; Indicates ambient temperature; Indicates the configured reference ambient temperature; Indicates the temperature sensitivity coefficient; The temperature normalization factor (e.g., 10°C) is used to convert temperature deviations into a dimensionless proportion; RH represents relative ambient humidity. This indicates the baseline relative ambient humidity for the configuration; Indicates the sensitivity coefficient of ion exchange capacity; Indicates the humidity sensitivity coefficient; This represents the relative humidity normalization factor; Indicates ion exchange capacity; Indicates the configured baseline ion exchange capacity; This represents the normalization factor for ion exchange capacity. Indicates the solids content sensitivity coefficient; Indicates the solid content of the slurry; The table shows the solid content of the reference slurry. Indicates the sensitivity coefficient to aging time; Indicates the aging time of the casting solution; The aging time normalization factor is obtained by user-defined configuration; the sum of the first and second deviations is taken as the target microphase separation deviation.

[0025] Step S230: Input the target microphase separation deviation into the pre-trained film formation control parameter decision model to obtain the target film formation control parameters.

[0026] The target film-forming control parameters may include: gradient heating rate and solvent atmosphere saturation; the gradient heating rate is the heating slope of each temperature zone of the oven in the alkaline anion exchange membrane electrode assembly preparation device; the solvent atmosphere saturation is the partial pressure or relative saturation of a specific solvent vapor in the internal environment of the oven in the alkaline anion exchange membrane electrode assembly preparation device.

[0027] In practice, the film formation control parameter decision model may include: The temporal coding layer concatenates the target microphase separation deviation and the historical deviation sequence stored in the film formation control parameter decision model to obtain the target deviation sequence. A one-dimensional sliding window convolution operation is performed on the target deviation sequence to obtain multiple local feature values. A nonlinear transformation (taking positive values) is applied to each local feature value to obtain the transformed feature sequence. The transformed feature sequence is then sequentially input into a recurrent neural network unit, updating the internal memory state step by step to obtain the target feature vector. The target feature vector is the summed feature vector at the last time step. An adaptive memory retrieval layer is used to calculate the cosine similarity between the target feature vector and each historical target feature vector in the configured historical trajectory memory, obtaining a similarity score. The similarity scores are then sorted from highest to lowest, and the top-ranked features with the highest similarity are selected. K historical trajectory records are selected; for the selected K historical trajectory records, the corresponding similarity scores are normalized to attention weights using the softmax function; the calculated attention weights are used to weight and sum the historical target film-forming control parameters and historical performance reward values ​​in the corresponding K historical trajectory records to obtain the aggregated film-forming control parameters and aggregated reward confidence; the aggregated film-forming control parameters and reward confidence are concatenated to form a comprehensive historical experience vector; wherein, the historical trajectory memory contains multiple historical target feature vectors and corresponding historical target film-forming control parameters and historical performance reward values; The decision fusion layer is used to fuse the target feature vector and the comprehensive historical experience vector to obtain a fusion vector. The fusion vector is then passed through two fully connected neural networks: the first layer performs a linear transformation and takes a positive value, and the second layer performs a linear transformation to obtain two normalized control parameters. Based on the reward confidence in the historical experience vector, it is determined whether the adjustment amplitude needs to be suppressed, resulting in the normalized gradient heating rate and solvent atmosphere saturation. If the confidence is lower than a set threshold, the two normalized control parameters are multiplied by a damping coefficient less than 1 (e.g., 0.8); otherwise, the original values ​​are retained. An output constraint layer is used to linearly map the normalized gradient heating rate and solvent atmosphere saturation to obtain the initial gradient heating rate and initial solvent atmosphere saturation. If the initial gradient heating rate and initial solvent atmosphere saturation meet the configured constraint conditions, then the initial gradient heating rate and initial solvent atmosphere saturation are determined as the target gradient heating rate and target solvent atmosphere saturation output. If the initial gradient heating rate and initial solvent atmosphere saturation exceed the configured heating rate range and solvent saturation range, then they are forcibly truncated to the boundary values. The changes in the initial gradient heating rate and initial solvent atmosphere saturation compared to the previous target gradient heating rate and previous target solvent atmosphere saturation are calculated. If the changes exceed the preset maximum step size, then the initial gradient heating rate and initial solvent atmosphere saturation are adjusted to the previous target gradient heating rate and previous target solvent atmosphere saturation plus the configured maximum change direction value, respectively, to prevent drastic process fluctuations, thus obtaining the target gradient heating rate and target solvent atmosphere saturation.

[0028] Step S240: Based on the target film-forming control parameters and physical property parameters, determine the target concentration of multi-cationic crosslinking agent in the film-forming slurry.

[0029] In specific implementation, the target film-forming control parameters and physical property parameters are input into the pre-trained interfacial bonding force prediction model and ionic conductivity prediction model, respectively, to obtain the target concentration range of the crosslinking agent; wherein, the target concentration range of the crosslinking agent is to make the crosslinking agent concentration range so that the crosslinking agent concentration range is ... ≥12.0 and Crosslinking agent concentration range ≥25; interfacial bonding force prediction model and ionic conductivity prediction model can be mathematical mapping model, response surface model or machine learning model; According to the configured optimization strategy, the optimal crosslinking agent concentration is screened within the target concentration range of the crosslinking agent to obtain the target multi-cationic crosslinking agent concentration in the film-forming slurry. The optimization strategy may include a binding force priority strategy and a balance strategy. When the optimization strategy is a binding force priority strategy, the maximum crosslinking agent concentration within the target concentration range is taken as the optimal crosslinking agent concentration. When the optimization strategy is a balance strategy, the sum of the maximum and minimum crosslinking agent concentrations within the target concentration range is divided by 2 to obtain the optimal crosslinking agent concentration.

[0030] Step S250: Based on the target multi-cationic crosslinking agent concentration and the target film-forming control parameters, adjust the film-forming slurry in the next time period of the current time period, and control the adjusted film-forming slurry to form a film on the surface area of ​​the catalyst layer.

[0031] In practice, based on the target multi-cation crosslinking agent concentration and the target film-forming control parameters, the crosslinking agent ratio of the film-forming slurry is adjusted online in the next time period of the current time period to obtain a film-forming slurry that meets the target multi-cation crosslinking agent concentration. The adjusted film-forming slurry is then coated on the catalyst layer surface of the alkaline anion exchange membrane electrode assembly. At the same time, the gradient heating rate and solvent atmosphere saturation during the film-forming process are controlled according to the target film-forming control parameters, so that the membrane layer completes phase separation and film formation under matched kinetic conditions, thereby achieving closed-loop correction of the microphase separation degree.

[0032] In another embodiment of this application, after screening for the optimal crosslinking agent concentration within the target concentration range, the method may further include: Calculate the dynamic threshold of critical micelle concentration based on physical properties and ambient temperature; The metastable range is calculated based on the dynamic threshold of the critical micelle concentration; the upper limit of the metastable range is the product of 1.2 and the dynamic threshold of the critical micelle concentration; the lower limit of the metastable range is the product of 0.8 and the dynamic threshold of the critical micelle concentration. If the optimal crosslinking agent concentration is within the metastable range, then the optimal crosslinking agent concentration is determined as the standard multi-cationic crosslinking agent concentration; Otherwise, the optimal crosslinking agent concentration is corrected based on the difference between the optimal crosslinking agent concentration and the upper and lower limits of the metastable range to obtain the target multi-cationic crosslinking agent concentration; wherein, the correction coefficient is determined based on the difference between the optimal crosslinking agent concentration and the upper and lower limits of the metastable range; and the optimal crosslinking agent concentration is corrected based on the product of the correction coefficient and the configured concentration adjustment amount.

[0033] Corresponding to the above method, this application also provides a film-forming control device for an alkaline anion exchange membrane electrode assembly, such as... Figure 3 As shown, the device includes: The acquisition unit 310 is used to acquire the real-time microphase separation degree, environmental operating condition parameters and target microphase separation degree of the catalyst layer surface area of ​​the alkaline anion exchange membrane electrode assembly in the current time period under the condition of film formation, as well as the physical property parameters of the film-forming slurry used to coat the catalyst layer surface area. The first determining unit 320 is used to determine the target microphase separation deviation based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as environmental operating parameters and physical property parameters. The decision unit 330 is used to input the target microphase separation degree deviation into the pre-trained film formation control parameter decision model to obtain the target film formation control parameters. The second determining unit 340 is used to determine the concentration of the target multi-cationic crosslinking agent in the film-forming slurry based on the target film-forming control parameters and physical property parameters; The control unit 350 is used to adjust the film-forming slurry in the next time period based on the target multi-cationic crosslinking agent concentration and the target film-forming control parameters, and to control the adjusted film-forming slurry to form a film on the surface area of ​​the catalyst layer.

[0034] The functions of each functional unit of the film-forming control device for the alkaline anion exchange membrane electrode assembly provided in the above embodiments of this application can be realized through the above-described method steps. Therefore, the specific working process and beneficial effects of each unit in the film-forming control device for the alkaline anion exchange membrane electrode assembly provided in the embodiments of this application will not be repeated here.

[0035] This application also provides an electronic device, such as... Figure 4 As shown, it includes a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440.

[0036] Memory 430 is used to store computer programs; When the processor 410 executes the program stored in the memory 430, it performs the following steps: The real-time microphase separation degree, environmental operating condition parameters, and target microphase separation degree of the catalyst layer surface region of the alkaline anion exchange membrane electrode assembly under the condition of film formation are obtained in the current time period, as well as the physical property parameters of the film-forming slurry used to coat the catalyst layer surface region. The deviation of the target microphase separation degree is determined based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as environmental operating parameters and physical property parameters. The target microphase separation deviation is input into a pre-trained film formation control parameter decision model to obtain the target film formation control parameters. Based on the target film-forming control parameters and physical property parameters, the concentration of the target multi-cationic crosslinking agent in the film-forming slurry is determined; Based on the target multi-cationic crosslinking agent concentration and the target film-forming control parameters, the film-forming slurry is adjusted in the next time period of the current time period, and the adjusted film-forming slurry is controlled to form a film on the surface area of ​​the catalyst layer.

[0037] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0038] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0039] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0040] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0041] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 2 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.

[0042] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform the film-forming control method of the alkaline anion exchange membrane electrode assembly described in any of the above embodiments.

[0043] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute the film-forming control method of the alkaline anion exchange membrane electrode assembly described in any of the above embodiments.

[0044] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0045] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0046] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0047] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0048] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.

[0049] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of this application and its equivalents, then these modifications and variations are also intended to be included in the embodiments of this application.

Claims

1. A method for controlling the film formation of an alkaline anion exchange membrane electrode assembly, characterized in that, The method includes: The real-time microphase separation degree, environmental operating condition parameters, and target microphase separation degree of the catalyst layer surface region of the alkaline anion exchange membrane electrode assembly under the condition of film formation are obtained in the current time period, as well as the physical property parameters of the film-forming slurry used to coat the surface region of the catalyst layer. The deviation of the target microphase separation degree is determined based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as the environmental operating parameters and physical property parameters. The target microphase separation deviation is input into a pre-trained film formation control parameter decision model to obtain the target film formation control parameters. Based on the target film-forming control parameters and the physical property parameters, the concentration of the target multi-cationic crosslinking agent in the film-forming slurry is determined; Based on the target multi-cationic crosslinking agent concentration and the target film-forming control parameters, the film-forming slurry is adjusted in the next time period of the current time period, and the adjusted film-forming slurry is controlled to form a film on the surface area of ​​the catalyst layer.

2. The method as described in claim 1, characterized in that, The method for obtaining the real-time microphase separation degree includes: Obtain the original phase grayscale image of the catalyst layer surface region of the alkaline anion exchange membrane electrode assembly in the state to be formed; The original phase grayscale image is filtered and the grayscale value is linearly normalized to obtain the normalized phase grayscale image. The Otsu thresholding method was used to perform adaptive image segmentation on the normalized phase grayscale image to obtain images of the ion-conducting phase region and the hydrophobic phase region. By statistically analyzing the areas of the ion-conducting phase region image and the hydrophobic phase region image, the total area of ​​the ion-conducting phase and the total area of ​​the hydrophobic phase are obtained. The ratio of the total area of ​​the ion-conducting phase to the total area of ​​the hydrophobic phase is used as the real-time microphase separation degree.

3. The method as described in claim 1, characterized in that, The method for obtaining the target microphase separation degree includes: The target binding force of the alkaline anion exchange membrane electrode assembly is input into a pre-constructed mapping model of target microphase separation degree and target binding force to obtain the target microphase separation degree.

4. The method as described in claim 1, characterized in that, The film-forming slurry includes a casting solution and a crosslinking agent; The environmental operating parameters include: ambient temperature and relative ambient humidity; The physical properties include: casting solution aging time, slurry solid content, and ion exchange capacity.

5. The method as described in claim 4, characterized in that, Based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as the environmental operating parameters and physical property parameters, the target microphase separation degree deviation is determined, including: The difference between the real-time microphase separation degree and the target microphase separation degree is taken as the first deviation; The environmental operating parameters and the physical property parameters are input into a pre-constructed microphase separation degree deviation feedforward compensation model to obtain the second deviation; The sum of the first deviation and the second deviation is taken as the target microphase separation deviation.

6. The method as described in claim 4, characterized in that, Based on the target film-forming control parameters and the physical property parameters, the concentration of the target multi-cationic crosslinking agent in the film-forming slurry is determined, including: The target film-forming control parameters and the physical property parameters are respectively input into the pre-trained interfacial bonding force prediction model and ionic conductivity prediction model to obtain the target concentration range of the crosslinking agent; Based on the configured optimization strategy, the optimal crosslinking agent concentration is screened within the target concentration range of the crosslinking agent to obtain the target multi-cationic crosslinking agent concentration in the film-forming slurry.

7. The method as described in claim 6, characterized in that, The optimal crosslinking agent concentration within the target concentration range is selected to obtain the target multi-cationic crosslinking agent concentration in the film-forming slurry, including: Calculate the dynamic threshold of critical micelle concentration based on the physical properties and the ambient temperature; The metastable range is calculated based on the dynamic threshold of critical micelle concentration; If the optimal crosslinking agent concentration is within the metastable range, then the optimal crosslinking agent concentration is determined as the standard multi-cationic crosslinking agent concentration.

8. A film-forming control device for an alkaline anion exchange membrane electrode assembly, characterized in that, The device includes: The acquisition unit is used to acquire the real-time microphase separation degree, environmental operating condition parameters and target microphase separation degree of the catalyst layer surface area of ​​the alkaline anion exchange membrane electrode assembly in the current time period under the condition of film formation, as well as the physical property parameters of the film-forming slurry used to coat the surface area of ​​the catalyst layer. The first determining unit is used to determine the target microphase separation deviation based on the difference between the real-time microphase separation degree and the target microphase separation degree, as well as the environmental operating condition parameters and physical property parameters. The decision unit is used to input the target microphase separation deviation into the pre-trained film formation control parameter decision model to obtain the target film formation control parameters; The second determining unit is used to determine the concentration of the target multi-cationic crosslinking agent in the film-forming slurry based on the target film-forming control parameters and the physical property parameters; The control unit is configured to adjust the film-forming slurry in the next time period based on the target multi-cationic crosslinking agent concentration and the target film-forming control parameters, and control the adjusted film-forming slurry to form a film on the surface region of the catalyst layer.

9. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.

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