Method for determining mea string leakage, fuel cell, vehicle, storage medium, and computer

Abstract

The present application relates to the technical field of MEA series leakage, and discloses a kind of MEA series leakage determination method, fuel cell, vehicle, storage medium and computer, S1: obtain vehicle OCV data by vehicle operation data;S2: determine whether the difference between average single piece voltage and single low piece voltage is greater than the first preset voltage in OCV state;S3: further determine whether the difference between average single piece voltage and single low piece voltage is greater than the first preset voltage in the state of pulling load current;S4: finally determine whether single low piece voltage growth amplitude is less than the second preset voltage amplitude in the operating state of fuel cell;S5: if the judgment results of S2-S4 are all positive, it is determined that the membrane electrode exists series leakage, and the piece number of series leakage piece is located.The MEA series leakage determination method of the present application does not need to be tested by pressure maintenance, and can quickly locate whether the stack is series leakage and the specific piece number of series leakage piece according to vehicle operation data, which can effectively locate the series leakage problem of the stack and greatly reduce the safety hazard during vehicle operation.

Description

Technical Field

[0001] This invention relates to the field of MEA leakage technology, and particularly to a method for determining MEA leakage, a fuel cell, a vehicle, a storage medium, and a computer. Background Technology

[0002] During fuel cell operation, poor operating conditions or fatigue of the membrane electrode assembly (MEA) can easily lead to cross-leakage. MEA cross-leakage refers to gas leakage between the anode and cathode, usually caused by problems such as pinholes in the membrane or frame encapsulation. It can lead to internal leakage, reduced efficiency, and the formation of hydrogen-oxygen interfaces, posing serious risks to the operation of the fuel cell stack.

[0003] Membrane electrode leakage can significantly impact the operation of fuel cell engines. Minor leakage affects fuel cell performance, primarily manifesting as low voltage on the leaking electrode, impacting engine performance, increasing the overall vehicle failure rate, and reducing vehicle reliability. Severe leakage can lead to safety issues, requiring close monitoring. However, locating and rapidly identifying membrane electrode leakage remains a major challenge in the industry.

[0004] Currently, the common method for resolving membrane electrode cross-leakage is through pressure holding tests. If the leakage rate fails to meet the requirements, and there is no leakage at the BOP (Body Plant), it is determined to be a cross-leakage. However, this solution cannot guarantee timeliness, and when conducting pressure holding tests on the vehicle, only the entire stack can be tested, which cannot pinpoint the specific cross-leakage electrode, resulting in insufficient accuracy. Summary of the Invention

[0005] To address the challenges of locating whether a fuel cell assembly (MEA) is leaking and accurately pinpointing leaking segments in existing technologies, this invention provides a method for determining MEA leakage, a fuel cell, a vehicle, a storage medium, and a computer.

[0006] The technical solution of the present invention is as follows:

[0007] As one aspect of this invention, the present invention provides a method for determining MEA (Multi-access Edge Computing) crosstalk leakage, comprising the following steps:

[0008] S1: Obtain vehicle-mounted OCV data through vehicle operation data;

[0009] S2: Determine whether the difference between the average single-chip voltage and the single low-chip voltage is greater than the first preset voltage under OCV state;

[0010] S3: Then determine whether the difference between the average single-chip voltage and the single low-chip voltage is greater than the first preset voltage under the load current condition.

[0011] S4: Finally, determine whether the voltage increase of a single low-voltage cell is less than the second preset voltage increase when the fuel cell is in operation.

[0012] S5: If the judgment results of S2-S4 are all positive, it is determined that there is cross-leakage in the membrane electrode, and the chip number of the cross-leakage chip is located.

[0013] Furthermore, the OCV data in S1 is the open-circuit voltage corresponding to a complete hydrogen-air supply to the fuel cell and no load current.

[0014] Furthermore, it also includes S6: if at least one of the judgment results of S2-S4 is negative, then it is determined that the membrane electrode does not have cross-leakage.

[0015] Furthermore, the first preset voltage is 80mV.

[0016] Furthermore, the second preset voltage amplitude is 20mV.

[0017] Furthermore, the chip number of the single low chip is the same as the chip number of the serial leak chip. By reading the vehicle operation data, the chip number of the single low chip is the chip number of the serial leak chip, thus locating the position of the serial leak chip.

[0018] As another aspect of the present invention, the present invention provides a fuel cell including a stack, the stack operating according to the MEA series leakage determination method in any of the above embodiments.

[0019] As another aspect of the present invention, the present invention provides a vehicle that includes the fuel cell described in the above embodiments.

[0020] As another aspect of the present invention, the present invention provides a storage medium storing a computer program, which, when executed by a processor, implements the MEA string leakage determination method described in any one of the above embodiments.

[0021] As another aspect of the present invention, the present invention also provides a computer, including at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the MEA string leakage determination method described in any one of the above embodiments when executing the computer program in the memory.

[0022] The beneficial effects of the embodiments of the present invention include at least some of the following: the MEA leakage determination method of the present invention can quickly locate whether the fuel cell stack is leaking and the specific chip number of the leaking chip based on vehicle operation data without the need for a pressure holding test. This can effectively locate the leakage problem of the fuel cell stack, improve the efficiency of problem solving, enhance the reliability and safety of the vehicle, and greatly reduce the safety hazards during vehicle operation. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating the MEA leakage detection method of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Example 1

[0026] Combination Figure 1 As shown, the present invention provides a method for determining MEA (Multi-access Edge Computing) leakage, comprising the following steps:

[0027] S1: Obtain vehicle-mounted OCV data through vehicle operation data;

[0028] S2: Determine whether the difference between the average single-chip voltage and the single low-chip voltage is greater than the first preset voltage in the OCV state, and set the first preset voltage to A;

[0029] S3: Next, determine whether the difference between the average single-chip voltage and the single low-chip voltage is greater than the first preset voltage under the load current condition. Here, the first preset voltage has the same meaning as described in S1.

[0030] S4: Finally, determine whether the voltage increase of a single low-voltage cell is less than the second preset voltage amplitude when the fuel cell is in operation, and set the second preset voltage amplitude to B.

[0031] S5: If the judgment results of S2-S4 are all positive, it is determined that there is cross-leakage in the membrane electrode, and the chip number of the cross-leakage chip is located.

[0032] Furthermore, the OCV data in S1 is the open-circuit voltage corresponding to a complete hydrogen-air supply to the fuel cell and no load current.

[0033] Furthermore, it also includes S6: if at least one of the judgment results of S2-S4 is negative, then it is determined that the membrane electrode does not have cross-leakage.

[0034] Furthermore, the first preset voltage is 80mV.

[0035] Furthermore, the second preset voltage amplitude is 20mV.

[0036] Furthermore, the chip number of the single low chip is the same as the chip number of the serial leak chip. By reading the vehicle operation data, the chip number of the single low chip is the chip number of the serial leak chip, thus locating the position of the serial leak chip.

[0037] Example 2

[0038] A fuel cell includes a stack that operates according to the MEA series leakage determination method described in Embodiment 1 above.

[0039] Example 3

[0040] A vehicle comprising the fuel cell described in Embodiment 2 above.

[0041] Example 4

[0042] A storage medium storing a computer program, which, when executed by a processor, implements the MEA (Multi-Level Analysis) leak detection method described in Embodiment 1.

[0043] Example 5

[0044] A computer includes at least a memory and a processor, wherein the memory stores a computer program, and the processor implements the MEA (Multi-Area Array) leakage determination method described in Embodiment 1 when executing the computer program in the memory.

[0045] The MEA leakage determination method of the present invention can quickly locate whether the fuel cell stack is leaking and the specific chip number of the leaking chip based on vehicle operation data without the need for a pressure holding test. This can effectively locate the leakage problem of the fuel cell stack, improve the efficiency of problem solving, enhance the reliability and safety of the vehicle, and greatly reduce the safety hazards during vehicle operation.

[0046] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for determining a MEA string leakage, characterized in that: Includes the following steps: S1: Obtain vehicle-mounted OCV data through vehicle operation data; S2: Determine whether the difference between the average single-chip voltage and the single low-chip voltage is greater than the first preset voltage under OCV state; S3: Then determine whether the difference between the average single-chip voltage and the single low-chip voltage is greater than the first preset voltage under the load current condition. S4: Finally, determine whether the voltage increase of a single low-voltage cell is less than the second preset voltage increase when the fuel cell is in operation. S5: If the judgment results of S2-S4 are all positive, it is determined that there is cross-leakage in the membrane electrode, and the chip number of the cross-leakage chip is located. This also includes S6: If at least one of the judgment results of S2-S4 is negative, then it is determined that the membrane electrode does not have cross-leakage. Wherein, the OCV data in S1 is the open-circuit voltage corresponding to a complete hydrogen-air supply to the fuel cell and no load current. The first preset voltage is 80mV; The second preset voltage amplitude is 20mV.

2. The MEA leakage detection method according to claim 1, characterized in that: The chip number of the single low-voltage chip is the same as the chip number of the serial leak chip, which is read through the vehicle operation data.

3. A fuel cell, comprising a stack, characterized in that: The fuel cell stack operates according to the MEA leakage determination method according to any one of claims 1-2.

4. A vehicle, characterized in that: The vehicle includes the fuel cell as described in claim 3.

5. A storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, it implements the MEA leakage detection method according to any one of claims 1-2.

6. A computer, comprising at least a memory and a processor, characterized in that: The memory stores a computer program, and when the processor executes the computer program in the memory, it implements the MEA cross-leakage determination method according to any one of claims 1-2.

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