Fuel cell CCM detection method and device

Abstract

The invention provides a fuel cell CCM detection method and device, and the method comprises the steps: carrying out the light transmission detection of a CCM, obtaining a light transmission image, obtaining a texture map of the surface of the CCM, carrying out the area ratio resistance detection of the CCM, determining the area ratio internal resistance of the CCM, carrying out the double-layer capacitance test of the CCM in a non-Faraday region, and determining the capacitance value of the CCM, and determining that the CCM is qualified under the conditions that the light spots in the texture image and the light-transmitting image meet preset conditions, the area ratio internal resistance is smaller than or equal to a preset threshold value, and the capacitance value is within a preset range. Therefore, whether the CCM is qualified or not can be determined by performing light transmission detection, surface texture detection, area ratio resistance detection and electric double layer capacitance test on the CCM, the number of detection operation steps is reduced, the detection difficulty is reduced, hydrogen is not used, and potential safety hazards existing in CCM detection are effectively avoided. Therefore, the cost of CCM detection is reduced, the duration of CCM detection is shortened, and large-scale and standardized CCM detection is facilitated.

Description

Technical Field

[0001] The present disclosure relates to the technical field of proton exchange membrane fuel cell membrane electrode testing, and in particular to a fuel cell CCM detection method and device. Background Art

[0002] Membrane electrode (MEA) is a key component of proton exchange membrane (PEM) fuel cells. Its production process mainly includes steps such as catalyst slurry configuration, catalyst layer preparation, catalyst layer transfer, frame bonding, and gas diffusion layer (GDL) bonding. After the catalyst layer is transferred, the membrane with the catalyst layer that has not yet been bonded to the GDL is called a composite catalyst membrane (CCM). The quality of CCM directly determines the overall performance of MEA.

[0003] Currently, there is no specific method for testing CCM. The usual practice is to assemble CCM and GDL into a complete MEA and evaluate the performance through the current-voltage (IV) characteristic test of a single cell. This test requires the use of a professional fuel cell test system. The IV test process is complex and time-consuming, and the IV test requires the use of hydrogen, which poses a safety hazard, making this method less suitable for large-scale testing needs. In addition, since the mass transfer efficiency of the GDL will affect the accuracy of the test results, this method is not completely reliable. Summary of the invention

[0004] This disclosure proposes a fuel cell CCM detection method and device. The specific scheme is as follows:

[0005] In one aspect, an embodiment of the present disclosure provides a fuel cell CCM detection method, comprising:

[0006] Perform light transmittance test on CCM, obtain light transmittance image, and obtain texture map of CCM surface;

[0007] Performing area specific resistance test on CCM to determine the area specific internal resistance of CCM, and performing double layer capacitance test on CCM in non-Faraday region to determine the capacitance value of CCM;

[0008] The CCM is determined to be qualified when the light spots in the texture image and the light transmission image meet the preset conditions, the area ratio internal resistance is less than or equal to the preset threshold, and the capacitance value is within the preset range.

[0009] In a possible implementation of an embodiment of an aspect of the present application, the preset conditions include:

[0010] The shape of the light spot is not a specific shape;

[0011] There are no surface defects in the texture map.

[0012] In a possible implementation of an embodiment of the present application, the present invention further includes:

[0013] Image recognition is performed on the light transmission image and the texture map to determine the shape of the light spot in the light transmission image and whether there are surface defects in the texture map.

[0014] In a possible implementation of an embodiment of the present application, the present invention further includes:

[0015] When the light spot in the texture image or the light transmission image does not meet the preset conditions, or the area ratio internal resistance is greater than a preset threshold, or the capacitance value is not within a preset range, it is determined that the CCM is unqualified.

[0016] Another aspect of the present disclosure provides a fuel cell CCM detection device, comprising:

[0017] The first detection module is used to detect the light transmittance of the CCM, obtain a light transmittance image, and obtain a texture map of the CCM surface;

[0018] The second detection module is used to perform an area specific resistance detection on the CCM to determine the area specific internal resistance of the CCM, and perform a double-layer capacitance test on the CCM in a non-Faraday region to determine the capacitance value of the CCM;

[0019] The determination module is used to determine that the CCM is qualified when the light spots in the texture image and the light transmission image meet the preset conditions, the area ratio internal resistance is less than or equal to the preset threshold, and the capacitance value is within the preset range.

[0020] In a possible implementation of an embodiment of an aspect of the present application, the preset conditions include:

[0021] The shape of the light spot is not a specific shape;

[0022] There are no surface defects in the texture map.

[0023] In a possible implementation of an embodiment of the first aspect of the present application, an identification module is further included, which is used to:

[0024] Image recognition is performed on the light transmission image and the texture map to determine the shape of the light spot in the light transmission image and whether there are surface defects in the texture map.

[0025] In a possible implementation of an embodiment of an aspect of the present application, the determination module is further configured to:

[0026] When the light spot in the texture image or the light transmission image does not meet the preset conditions, or the area ratio internal resistance is greater than a preset threshold, or the capacitance value is not within a preset range, it is determined that the CCM is unqualified.

[0027] Another aspect of the present disclosure provides a computer device, including a processor and a memory;

[0028] The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method as described in the above embodiment.

[0029] Another aspect of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein the program implements the method as described in the above embodiment when executed by a processor.

[0030] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0032] Figure 1 A schematic diagram of a fuel cell CCM detection method provided in an embodiment of the present disclosure;

[0033] Figure 2 A schematic diagram of a light transmittance detection method provided in an embodiment of the present disclosure;

[0034] Figure 3 A schematic diagram of an area specific resistance detection method provided in an embodiment of the present disclosure;

[0035] Figure 4 A schematic diagram of the structure of a fuel cell CCM detection device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0036] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0037] The following describes a method for determining the identification of operation data according to an embodiment of the present disclosure with reference to the accompanying drawings.

[0038] Figure 1 A schematic flow chart of a fuel cell CCM detection method provided in an embodiment of the present disclosure.

[0039] The fuel cell CCM detection method of the embodiment of the present disclosure is performed by a fuel cell CCM detection device (hereinafter referred to as the detection device) provided in the embodiment of the present disclosure. The device can be configured in a computer device or other equipment to accurately and efficiently detect the fuel cell CCM.

[0040] like Figure 1 As shown, the fuel cell CCM detection method includes:

[0041] Step 101, perform light transmittance detection on the CCM, obtain a light transmittance image, and obtain a texture map of the CCM surface.

[0042] In the present application, the CCM can be placed under an optical microscope, and a texture map of the CCM surface under the optical microscope can be collected. For example, an optical microscope with a magnification range of 20-200 times can be used to detect CCM samples of different shapes and collect texture maps of the CCM surface. The sizes of CCM samples of different shapes are different, the diameter of the circular sample is less than or equal to 3 cm, and the size of the rectangular sample is less than or equal to 3×3 cm and less than or equal to 25×25 cm.

[0043] In addition, if Figure 2 As shown, place the CCM on a transparent stage and place the light source directly below the CCM so that the light emitted by the light source is perpendicular to the plane where the CCM is located. Generally, the distance between the light source and the plane where the CCM is located is about 5 mm. Place the image collector directly above the CCM, and place the imaging flat screen of the image collector perpendicular to the light of the light source to collect the light transmission image of the light passing through the CCM.

[0044] Step 102 , performing an area specific resistance test on the CCM to determine the area specific internal resistance of the CCM, and performing a double layer capacitance test on the CCM in a non-Faraday region to determine the capacitance value of the CCM.

[0045] like Figure 3 As shown, the gas diffusion layer (GDL) is pressed against both sides of the CCM by a test fixture to ensure good contact and sealing, so as to perform an area specific resistance test on the CCM and determine the area specific internal resistance of the CCM. The preload force range of the test fixture can be 1-2MPa.

[0046] In addition, the CCM can be assembled into a fuel cell, and after nitrogen is introduced into the anode and cathode of the cell for a preset time, the capacitance value of the CCM can be determined by cyclic voltammetry.

[0047] For example, assemble the CCM into a fuel cell cell, introduce 0.1-2NLSM of nitrogen into the anode and cathode of the cell, set the cell temperature to 80°C, the humidity to 40%, and purge for 1 hour. Afterwards, by cyclic voltammetry, the scan range can be set to 0-50mV / s, the number of scans can be set to 10, and after measuring and determining the current density, the capacitance value of the CCM can be determined based on the voltage, current density, number of scans, and the preset capacitance model. Among them, the capacitance model is a linear function generated by fitting based on voltage, current density, and scan rate, and the slope of the linear function is the capacitance value.

[0048] Step 103 , when the light spots in the texture image and the light transmission image meet the preset conditions, the area ratio internal resistance is less than or equal to the preset threshold, and the capacitance value is within the preset range, it is determined that the CCM is qualified.

[0049] The preset conditions may be: the shape of the light spot is not a specific shape, and there are no surface defects in the texture map. The specific shape includes block, strip, etc., and the surface defects include pinholes, cracks, scratches, etc., which are not limited in this application.

[0050] The preset threshold can be 200mΩ·cm 2 Etc., can be pre-set in the system according to the actual test environment, and this application does not limit this.

[0051] The preset range may be generated based on the maximum and minimum capacitance values ​​of qualified CCMs determined from historical measurements.

[0052] In the present application, it is possible to manually identify whether the shape of the light spot in the light transmission image is a specific shape and whether there are surface defects in the texture map. Alternatively, a recognition model for identifying whether there are surface defects in the texture map and a recognition model for identifying whether the shape of the light spot in the light transmission image is a specific shape can be pre-trained. Afterwards, the light transmission image and the texture map are image recognized using the model to determine the shape of the light spot in the light transmission image and whether there are surface defects in the texture map.

[0053] Optionally, when the light spot in the texture image or the light transmission image does not meet the preset condition, or the area ratio of the internal resistance is greater than a preset threshold, or the capacitance value is not within a preset range, it is determined that the CCM is unqualified.

[0054] In this application, the CCM is tested for light transmittance, a light transmittance image is obtained, and a texture map of the CCM surface is obtained. At the same time, the CCM is tested for area specific resistance to determine the area specific internal resistance of the CCM, and the CCM is tested for double electric layer capacitance in the non-Faraday region to determine the capacitance value of the CCM. When the light spots in the texture map and the light transmittance image meet the preset conditions, the area specific internal resistance is less than or equal to the preset threshold, and the capacitance value is within the preset range, the CCM is determined to be qualified. Thus, by performing light transmittance detection, surface texture detection, area specific resistance detection and double electric layer capacitance test on the CCM, it can be determined whether the CCM is qualified, which reduces the number of detection operation steps, reduces the difficulty of detection, and does not involve the use of hydrogen, effectively avoiding the safety hazards of CCM detection. Thereby reducing the cost of CCM detection, shortening the duration of CCM detection, and facilitating the scale and standardization of CCM detection.

[0055] It should be noted that a light transmittance detection device, a texture map acquisition device, an area specific resistance detection device, and a double-layer capacitance test device can be prepared in combination, and the CCM to be detected can be moved between the above four devices using an automatic moving device to realize automated fuel cell CCM detection. After the CCM is subjected to light transmittance detection, surface defect detection, area specific resistance detection, and double-layer capacitance test, it can be determined whether the CCM is qualified based on the four test results. Alternatively, light transmittance detection, surface defect detection, area specific resistance detection, and double-layer capacitance test can be performed one by one, and the latter detection can be performed when the previous test is qualified to improve the CCM detection efficiency. For example, after performing a light transmittance detection on the CCM, obtaining a light transmittance image, and obtaining a texture map on the surface of the CCM, when the light spots in the texture map and the light transmittance image meet the preset conditions, the CCM is subjected to an area specific resistance detection to determine the area specific internal resistance of the CCM. Afterwards, when the area specific internal resistance is less than or equal to the preset threshold, the CCM is subjected to a double-layer capacitance test in the non-Faraday region to determine the capacitance value of the CCM. Then, when the capacitance value is within the preset range, the CCM is determined to be qualified. When the light spots in the texture image and the light transmission image do not meet the preset conditions, the area specific resistance detection and the double-layer capacitance test are not performed, and the CCM is determined to be unqualified. When the area specific internal resistance is greater than the preset threshold, the double-layer capacitance test is not performed, and the CCM is determined to be unqualified. When the capacitance value is not within the preset range, the CCM is determined to be unqualified. In order to implement the above embodiments, the embodiments of the present disclosure also propose a fuel cell CCM detection device.

[0056] Figure 4 A schematic diagram of the structure of a fuel cell CCM detection device provided in an embodiment of the present disclosure.

[0057] like Figure 4 As shown, the fuel cell CCM detection device 400 includes:

[0058] The first detection module 410 is used to detect the light transmittance of the CCM, obtain a light transmittance image, and obtain a texture map of the CCM surface;

[0059] The second detection module 420 is used to perform an area specific resistance detection on the CCM to determine the area specific internal resistance of the CCM, and perform a double-layer capacitance test on the CCM in a non-Faraday region to determine the capacitance value of the CCM;

[0060] The determination module 430 is used to determine that the CCM is qualified when the light spots in the texture image and the light transmission image meet the preset conditions, the area ratio internal resistance is less than or equal to the preset threshold, and the capacitance value is within a preset range.

[0061] In a possible implementation of the embodiment of the present disclosure, the preset conditions include:

[0062] The shape of the light spot is not a specific shape;

[0063] There are no surface defects in the texture map.

[0064] In a possible implementation of the embodiment of the present disclosure, an identification module is further included, which is used to:

[0065] Image recognition is performed on the light transmission image and the texture map to determine the shape of the light spot in the light transmission image and whether there are surface defects in the texture map.

[0066] In a possible implementation of the embodiment of the present disclosure, the determination module 430 is further configured to:

[0067] When the light spot in the texture image or the light transmission image does not meet the preset conditions, or the area ratio internal resistance is greater than a preset threshold, or the capacitance value is not within a preset range, the CCM is determined to be qualified.

[0068] It should be noted that the above explanation of the fuel cell CCM detection method embodiment is also applicable to the fuel cell CCM detection device of this embodiment, so it will not be repeated here.

[0069] In this application, the CCM is tested for light transmittance, a light transmittance image is obtained, and a texture map of the CCM surface is obtained. At the same time, the CCM is tested for area specific resistance to determine the area specific internal resistance of the CCM, and the CCM is tested for double electric layer capacitance in the non-Faraday region to determine the capacitance value of the CCM. When the light spots in the texture map and the light transmittance image meet the preset conditions, the area specific internal resistance is less than or equal to the preset threshold, and the capacitance value is within the preset range, the CCM is determined to be qualified. Thus, by performing light transmittance detection, surface texture detection, area specific resistance detection and double electric layer capacitance test on the CCM, it can be determined whether the CCM is qualified, which reduces the number of detection operation steps, reduces the difficulty of detection, and does not involve the use of hydrogen, effectively avoiding the safety hazards of CCM detection. Thereby reducing the cost of CCM detection, shortening the duration of CCM detection, and facilitating the scale and standardization of CCM detection.

[0070] In order to implement the above embodiment, the embodiment of the present disclosure also provides a computer device, including a processor and a memory;

[0071] The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the fuel cell CCM detection method as described in the above embodiment.

[0072] In order to implement the above embodiment, the embodiment of the present disclosure further proposes a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the fuel cell CCM detection method as in the above embodiment is implemented.

[0073] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A fuel cell CCM detection method, characterized in that: include: Performing light transmittance detection on the CCM, obtaining a light transmittance image, and obtaining a texture map of the surface of the CCM; Performing an area specific resistance test on the CCM to determine the area specific internal resistance of the CCM, and performing a double-layer capacitance test on the CCM in a non-Faraday region to determine the capacitance value of the CCM; When the light spots in the texture image and the light transmission image meet preset conditions, the area ratio internal resistance is less than or equal to a preset threshold, and the capacitance value is within a preset range, the CCM is determined to be qualified.

2. The method according to claim 1, characterized in that The preset conditions include: The shape of the light spot is not a specific shape; There are no surface defects in the texture map.

3. The method according to claim 1, characterized in that Also includes: Image recognition is performed on the light transmission image and the texture map to determine the shape of the light spot in the light transmission image and whether there are surface defects in the texture map.

4. The method according to claim 1, characterized in that Also includes: When the light spot in the texture image or the light transmission image does not meet the preset condition, or the area ratio internal resistance is greater than the preset threshold, or the capacitance value is not within a preset range, it is determined that the CCM is unqualified.

5. A fuel cell CCM detection device, characterized in that: include: A first detection module is used to detect the light transmittance of the CCM, obtain a light transmittance image, and obtain a texture map of the surface of the CCM; A second detection module is used to perform an area specific resistance detection on the CCM to determine the area specific internal resistance of the CCM, and perform a double-layer capacitance test on the CCM in a non-Faraday region to determine the capacitance value of the CCM; A determination module is used to determine that the CCM is qualified when the light spots in the texture image and the light transmission image meet preset conditions, the area ratio internal resistance is less than or equal to a preset threshold, and the capacitance value is within a preset range.

6. The device according to claim 5, characterized in that The preset conditions include: The shape of the light spot is not a specific shape; There are no surface defects in the texture map.

7. The device according to claim 5, characterized in that Also included is an identification module for: Image recognition is performed on the light transmission image and the texture map to determine the shape of the light spot in the light transmission image and whether there are surface defects in the texture map.

8. The device according to claim 5, characterized in that The determining module is further used for: When the light spot in the texture image or the light transmission image does not meet the preset condition, or the area ratio internal resistance is greater than the preset threshold, or the capacitance value is not within a preset range, it is determined that the CCM is unqualified.

9. A computer device, characterized in that: including a processor and a memory; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method according to any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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