Fuel cell membrane electrode series leakage detection method, computer and readable storage medium

Abstract

The invention relates to the technical field of fuel cells, in particular to a fuel cell membrane electrode series leakage detection method, a computer and a readable storage medium, the method comprises the following steps: after a galvanic pile runs for time t1 at a rated point, the galvanic pile is subjected to load reduction to current I, stably runs for time t2 at an air overload coefficient m1, and continuously runs under m2, and m1 is less than m2; monitoring the voltage change in the t2 time period and recording the minimum voltage Vmin and the voltage drop slope ki of each single chip; judging whether the membrane electrode is abnormal or not according to Vmin and ki, wherein the judgment standards are v and k; if Vminlt; v or kigt; k, judging that the membrane electrode blow-by is abnormal; under a higher air overload coefficient m2, the operation is continued, the voltage is gradually reduced, and the minimum voltage Vmin and the voltage drop slope ki of each single chip are obtained to judge whether the membrane electrode is abnormal or not; extra equipment, tools, parts and the like are not needed, and all abnormal membrane electrodes can be diagnosed through one-time detection.

Description

Technical Field

[0001] The present invention relates to the technical field of fuel cells, and in particular to a fuel cell membrane electrode cross-leakage detection method, a computer and a readable storage medium. Background Art

[0002] The proton exchange membrane fuel cell is a power generation device that generates electricity through the electrochemical reaction of hydrogen and oxygen. It has many advantages such as high energy conversion efficiency, environmental friendliness, and low noise. The membrane electrode is the core component of the entire fuel cell system, and its airtightness will affect the performance, life, and even safety of the fuel cell system. At present, the airtightness of the membrane electrode is measured by a flow meter to determine whether the entire stack has abnormal leakage. The reliability is low and the abnormal membrane electrode cannot be accurately located. The existing technology places the fuel cell stack on an airtight detection device, closes the anode outlet and the cathode inlet, installs a flow meter at the cathode outlet, passes gas into the anode, and applies a certain back pressure. After stabilization, the flow value at the cathode outlet is measured as the total leakage of the entire stack of membrane electrodes. If you want to diagnose whether the leakage of a single membrane electrode is abnormal, you need to detect the leakage amount on a single piece.

[0003] However, existing membrane electrode leakage diagnosis methods usually require specific equipment, and the entire stack needs to be placed on specific airtight detection equipment for leakage detection, which is costly. There are usually many membrane electrode sheets in the stack. If one or a few sheets have abnormal leakage problems, or the leakage amount is small, there is a risk that the airtight detection of the entire stack will not identify the abnormal leakage problem. When the entire stack has abnormal leakage and the abnormal membrane electrode sheet needs to be screened, the abnormal membrane electrode sheet cannot be accurately located, and multiple tests are usually required to determine the problematic sheet, which is inefficient.

[0004] Therefore, a more convenient, reliable and accurate method for membrane electrode leakage diagnosis is urgently needed. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a more convenient, reliable and accurate membrane electrode leakage diagnosis method, computer and readable storage medium.

[0006] In order to solve the above technical problems, the first technical solution adopted by the present invention is:

[0007] A fuel cell membrane electrode cross-leakage detection method, comprising:

[0008] After the stack runs at the rated point for time t1, it is de-loaded to current I, and runs stably at the air overload factor m1 for time t2, and continues to run at the preset air overload factor m2, where m1<m2;

[0009] Monitor the voltage change within the time period t2, and record the minimum voltage Vmin of each single piece and the voltage drop slope ki of each single piece during the stable operation time t2; determine whether the membrane electrode is abnormal based on the minimum voltage Vmin of each single piece and the voltage drop slope ki of each single piece, and the judgment criteria are v and k;

[0010] If Vmin < v or ki > k, it is determined that there is a leakage abnormality in the membrane electrode; locate the position of the abnormal membrane electrode through the pre-stored inspection system number.

[0011] Preferably, the t1 is 8 - 12 min.

[0012] Preferably, the I is 25 - 35 A.

[0013] Preferably, the m1 is 2 - 3.

[0014] Preferably, the m2 is 8 - 12.

[0015] Preferably, the t2 is 2 - 4 min.

[0016] Preferably, the v = 0 V.

[0017] Preferably, the k = 40 - 60 mv / s.

[0018] To solve the above technical problems, the second technical solution adopted by the present invention is:

[0019] A computer includes a processor and a memory;

[0020] The memory is used to store computer instructions, and the processor is used to run the computer instructions stored in the memory to implement the above fuel cell membrane electrode string leakage detection method.

[0021] To solve the above technical problems, the third technical solution adopted by the present invention is:

[0022] A computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the above fuel cell membrane electrode string leakage detection method.

[0023] The beneficial effects of the present invention are as follows: when operating at a higher air overload coefficient m2, the voltage will gradually decrease. By obtaining the minimum voltage Vmin and the voltage drop slope ki of each single cell, it can be determined whether the membrane electrode is abnormal; no additional equipment, tooling, components, etc. are required, which is fast and convenient; in the fuel cell stack test bench or vehicle application terminal, it can be diagnosed by monitoring the voltage change through the inspection system, which is more convenient; all abnormal membrane electrodes can be diagnosed by one detection, which is more efficient; through the inspection system number, the specific position of the abnormal membrane electrode in the stack can be accurately located, with higher efficiency; different from the prior art where increasing the temperature is used to detect abnormal membrane electrodes, which will increase the risk of membrane series leakage; and also different from the prior art where adjusting the hydrogen overload coefficient is used to detect abnormal membrane electrodes, which will increase the risk of membrane electrode reversal, so it is safer. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a relationship diagram of air overload coefficient and current in a fuel cell membrane electrode series leakage detection method according to a specific embodiment of the present invention;

[0025] Figure 2 It is a relationship diagram of voltage and current in a fuel cell membrane electrode series leakage detection method according to a specific embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] To describe in detail the technical content, achieved objectives and effects of the present invention, the following is described in conjunction with the embodiments and accompanied by the drawings.

[0027] Embodiment 1

[0028] Please refer to Figure 1 and Figure 2 , a fuel cell membrane electrode series leakage detection method, including

[0029] After the stack operates at the rated point for a time t1, it is loaded down to a current I and operates at a stable air overload coefficient m1 for a time t2, and then continues to operate at a preset air overload coefficient m2, where m1 < m2;

[0030] Monitor the voltage change during the t2 time period, and record the minimum voltage Vmin of each single cell and the voltage drop slope ki of each single cell during the stable operation time t2; determine whether the membrane electrode is abnormal based on the minimum voltage Vmin of each single cell and the voltage drop slope ki of each single cell, and the judgment criteria are v and k;

[0031] If Vmin < v or ki > k, it is determined that the membrane electrode has series leakage abnormality; locate the position of the abnormal membrane electrode through the pre-stored inspection system number.

[0032] The t1 is 12 minutes.

[0033] The I is 35 A.

[0034] m1 is 3.

[0035] m2 is 12.

[0036] t2 is 4 min.

[0037] v = 0 V.

[0038] k = 60 mv / s.

[0039] Embodiment 2

[0040] A method for detecting series leakage of a fuel cell membrane electrode assembly, comprising

[0041] After the fuel cell stack operates at the rated point for time t1, the load is reduced to current I, and it operates stably for time t2 at the air overload factor m1 and continues to operate at the preset air overload factor m2, where m1 < m2;

[0042] Monitor the voltage change during the t2 time period, record the minimum voltage Vmin of each single cell and the voltage drop slope ki of each single cell during the stable operation time t2; judge whether the membrane electrode is abnormal through the minimum voltage Vmin of each single cell and the voltage drop slope ki of each single cell, and the judgment criteria are v and k;

[0043] If Vmin < v or ki > k, it is judged that the membrane electrode has series leakage abnormality; locate the position of the abnormal membrane electrode through the pre-stored inspection system number.

[0044] t1 is 10 min.

[0045] I is 30 A.

[0046] m1 is 2.

[0047] m2 is 10.

[0048] t2 is 3 min.

[0049] v = 0 V.

[0050] k = 50 mv / s.

[0051] Embodiment 3

[0052] Please refer to Figure 1 and Figure 2 , A method for detecting series leakage of a fuel cell membrane electrode assembly, comprising

[0053] After the fuel cell stack operates at the rated point for time t1, the load is reduced to current I, and it operates stably for time t2 at the air overload factor m1 and continues to operate at the preset air overload factor m2, where m1 < m2;

[0054] Monitor the voltage change within the time period t2, and record the minimum voltage Vmin of each single piece and the voltage drop slope ki of each single piece during the stable operation time t2; determine whether the membrane electrode is abnormal based on the minimum voltage Vmin of each single piece and the voltage drop slope ki of each single piece, and the judgment criteria are v and k;

[0055] If Vmin < v or ki > k, it is determined that there is a leakage abnormality in the membrane electrode; locate the position of the abnormal membrane electrode through the pre-stored inspection system number.

[0056] The t1 is 8 min.

[0057] The I is 25 A.

[0058] The m1 is 2.

[0059] The m2 is 8.

[0060] The t2 is 2 min.

[0061] The v = 0 V.

[0062] The k = 40 mv / s.

[0063] Embodiment 4

[0064] A computer includes a processor and a memory;

[0065] The memory is used to store computer instructions, and the processor is used to run the computer instructions stored in the memory to implement the fuel cell membrane electrode leakage detection method described in any one of Embodiments 1 to 3.

[0066] Embodiment 5

[0067] A computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the fuel cell membrane electrode leakage detection method described in any one of Embodiments 1 to 3.

[0068] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent transformation made using the content of the specification and drawings of the present invention, or directly or indirectly applied in the relevant technical fields, is similarly included in the patent protection scope of the present invention.

Claims

1. A fuel cell membrane electrode cross-leakage detection method, characterized in that: including After the stack operates at the rated point for a time t1, the load is reduced to a current I, and it operates stably for a time t2 with an air overload factor m1, and then continues to operate under a preset air overload factor m2, where m1 < m2; Monitor the voltage change during the time period t2, and record the minimum voltage Vmin of each single cell and the voltage drop slope ki of each single cell during the stable operation time t2; judge whether the membrane electrode is abnormal through the minimum voltage Vmin of each single cell and the voltage drop slope ki of each single cell, and the judgment criteria are v and k; If Vmin < v or ki > k, it is judged that the membrane electrode has a leakage abnormality; locate the position of the abnormal membrane electrode through the pre-stored inspection system number.

2. The fuel cell membrane electrode cross-talk detection method according to claim 1, characterized in that: The t1 is 8 - 12 min.

3. The fuel cell membrane electrode cross-leakage detection method according to claim 1, characterized in that: The I is 25 - 35 A.

4. The fuel cell membrane electrode cross-talk detection method according to claim 1, characterized in that: The m1 is 2 - 3.

5. The fuel cell membrane electrode cross-talk detection method according to claim 1, characterized in that: The m2 is 8 - 12.

6. The fuel cell membrane electrode cross-leakage detection method according to claim 1, characterized in that: The t2 is 2 - 4 min.

7. The fuel cell membrane electrode cross-talk detection method according to claim 1, characterized in that: The v = 0 V.

8. The fuel cell membrane electrode cross-talk detection method according to claim 1, characterized in that: The k is 40 - 60 mv / s.

9. A computer, characterized in that: including a processor and a memory; The memory is used to store computer instructions, and the processor is used to run the computer instructions stored in the memory to implement the fuel cell membrane electrode leakage detection method according to any one of claims 1 - 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the fuel cell membrane electrode leakage detection method according to any one of claims 1 - 8.

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