Fuel cell stack sealing leakage rate prediction method and device, equipment and storage medium

Abstract

The invention discloses a method for predicting the sealing leakage rate of a fuel cell stack, and belongs to the technical field of fuel cells. The method comprises the following steps: acquiring first sealing data of a piano key area and second sealing data of a symmetric area of the fuel cell stack; based on a preset leakage channel height model, obtaining a height distribution function according to the first sealing data and the second sealing data; and according to the height distribution function and the obtained leakage gas attribute and leakage channel attribute of the fuel cell stack, predicting the leakage rate of the fuel cell stack seal. Wherein the height distribution functions comprise a first height distribution function, a second height distribution function and a third height distribution function which are respectively used for predicting the leakage rates of the symmetric area and the piano key area, and further predicting the overall leakage rate. The invention also provides a corresponding prediction device, equipment and a computer readable storage medium. The method can accurately predict the sealing leakage rate of the fuel cell stack, and improves the design and manufacturing efficiency of the fuel cell stack.

Description

Technical Field

[0001] This application relates to the field of fuel cell seal detection, specifically to a method, apparatus, equipment, and storage medium for predicting fuel cell stack seal leakage rate. Background Technology

[0002] Currently, leakage in hydrogen fuel cell stacks is a critical indicator affecting stack performance and safety. In actual production, specialized leak detection equipment is mainly used to test the airtightness of bipolar plates or membrane electrode assemblies, or to conduct systematic leak detection on the assembled stack. However, these leak detection devices are generally heavy and bulky, and can only be fixed in one location. When a leak occurs in a hydrogen fuel cell stack during actual use, it is difficult to obtain real-time, on-site information about the leak.

[0003] Therefore, there is an urgent need for a simple and efficient method to obtain information on leaks in hydrogen fuel cell stacks. Summary of the Invention

[0004] In a first aspect, embodiments of this application provide a method for predicting the leakage rate of a fuel cell stack seal, the method comprising: Acquire first sealing data and second sealing data of the fuel cell stack, wherein the first sealing data is the first sealing data of the piano key area and the second sealing data is the second sealing data of the symmetrical area; Based on the pre-set leakage channel height model, the height distribution function is obtained according to the first sealing data and the second sealing data; Based on the height distribution function, and the obtained leakage gas properties and leakage channel properties of the fuel cell stack, the leakage rate of the fuel cell stack seal is predicted.

[0005] In conjunction with the first aspect, in one embodiment, the height distribution function includes a first height distribution function, a second height distribution function, and a third height distribution function, and the step of predicting the leakage rate of the fuel cell stack seal based on the height distribution function and the obtained leakage gas properties and leakage channel properties of the fuel cell stack includes: Based on the properties of the leaking gas in the symmetrical region, the properties of the leaking channel, and the third height distribution function, the leakage rate of the symmetrical region is predicted. Based on the properties of the leaked gas in the piano key area, the properties of the leak channel, the first height distribution function, and the second height distribution function, the leakage rate of the piano key area is predicted. Based on the leakage rate of the symmetrical region and the leakage rate of the piano key region, the leakage rate of the fuel cell stack seal is predicted.

[0006] In conjunction with the first aspect, in one implementation, predicting the leakage rate of the symmetrical region based on the acquired properties of the leaking gas in the symmetrical region, the properties of the leakage channel, and the third height distribution function includes: Based on the properties of the leaking gas in the obtained symmetry region and the properties of the leaking channel, the Knudsen number is calculated. The properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. Based on the third height distribution function and the preset calculation formula, the leakage rate per unit length of the symmetrical region is predicted; The leakage rate of the symmetrical region is predicted based on the leakage rate per unit length of the symmetrical region and the obtained sealing line length of the symmetrical region.

[0007] In conjunction with the first aspect, in one embodiment, predicting the leakage rate of the piano key area based on the acquired properties of the leaked gas in the piano key area, the properties of the leakage channel, the first height distribution function, and the second height distribution function includes: Based on the properties of the leaking gas in the piano key area and the properties of the leaking channel, the Knudsen number is calculated. The properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. Based on the first height distribution function, the second height distribution function, and the preset calculation formula, the unit cycle leakage rate of the piano key area is predicted. The leakage rate of the piano key area is predicted based on the unit cycle leakage rate of the piano key area and the number of cycles of the obtained piano key area.

[0008] In conjunction with the first aspect, in one embodiment, the height distribution function includes a first height distribution function and a third height distribution function, and the step of predicting the leakage rate of the fuel cell stack seal based on the height distribution function and the obtained leakage gas properties and leakage channel properties of the fuel cell stack includes: Based on the properties of the leaking gas in the symmetrical region, the properties of the leaking channel, and the third height distribution function, the leakage rate of the symmetrical region is predicted. Based on the properties of the leaked gas in the piano key area, the properties of the leak channel, and the first height distribution function, the leakage rate of the piano key area is predicted. Based on the leakage rate of the symmetrical region and the leakage rate of the piano key region, the leakage rate of the fuel cell stack seal is predicted.

[0009] In conjunction with the first aspect, in one embodiment, the step of predicting the leakage rate of the piano key area based on the acquired properties of the leaking gas in the piano key area, the properties of the leakage channel, and the first height distribution function includes: Based on the properties of the leaking gas in the piano key area and the properties of the leaking channel, the Knudsen number is calculated. The properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. The leakage rate per unit length of the piano key area is calculated based on the first height distribution function and the preset calculation formula. The leakage rate of the piano key area is predicted based on the leakage rate per unit length of the piano key area and the obtained sealing line length of the piano key area. In conjunction with the first aspect, in one embodiment, the first sealing data includes a first sealing pressure, a second sealing pressure, a first pressure distribution function, and a second pressure distribution function; the second sealing data includes a third pressure distribution function; and obtaining the height distribution function based on a preset leakage channel height model, according to the first sealing data and the second sealing data, includes: The first correction factor is calculated based on the first sealing pressure and the second sealing pressure; The first pressure distribution function is corrected according to the first correction coefficient; Based on the corrected first pressure distribution function and the preset leakage channel height model, obtain the first height distribution function; Based on the second pressure distribution function and the preset leakage channel height model, obtain the second height distribution function; The third height distribution function is obtained based on the third pressure distribution function and the preset leakage channel height model.

[0010] Secondly, embodiments of this application provide a fuel cell stack seal leakage rate prediction device, the fuel cell stack seal leakage rate prediction device comprising: The first acquisition module is used to acquire first sealing data and second sealing data of the fuel cell stack, wherein the first sealing data is the first sealing data of the piano key area and the second sealing data is the second sealing data of the symmetrical area. The second acquisition module is used to acquire a height distribution function based on a preset leakage channel height model and according to the first sealing data and the second sealing data; The prediction module is used to predict the leakage rate of the fuel cell stack seal based on the height distribution function and the obtained leakage gas properties and leakage channel properties of the fuel cell stack.

[0011] Thirdly, embodiments of this application provide a fuel cell stack seal leakage rate prediction device, which includes a processor, a memory, and a fuel cell stack seal leakage rate prediction program stored in the memory and executable by the processor. When the fuel cell stack seal leakage rate prediction program is executed by the processor, it implements the steps of the above-described fuel cell stack seal leakage rate prediction method.

[0012] Fourthly, embodiments of this application provide a computer-readable storage medium, characterized in that the computer-readable storage medium stores a fuel cell stack seal leakage rate prediction program, wherein when the fuel cell stack seal leakage rate prediction program is executed by a processor, it implements the steps of the fuel cell stack seal leakage rate prediction method as described above.

[0013] The beneficial effects of this invention are as follows: 1. The single-cell seal is decomposed into two regions: the piano key area seal and the symmetrical area seal. The calculation is more consistent with the actual seal distribution. 2. The height distribution of the leakage path was analyzed based on the distribution of sealing pressure, which is more consistent with the actual sealing distribution than the existing model where the leakage path is consistent along the leakage direction; 3. By performing corresponding leakage rate analysis based on the fluid flow state of the leaking seal, the accuracy of the leakage rate calculation results is improved.

[0014] Through the above technical means, the leakage rate calculation of the present invention takes into account the distribution of sealing pressure generated by the geometry of the sealing element along the leakage direction, the flow state of the leaking fluid when leaking at the sealing interface, and the sealing situation of different areas of a single cell after the stack is assembled, thus ensuring the accuracy of the final leakage calculation result. Attached Figure Description

[0015] Figure 1 This is a schematic flowchart of an embodiment of the fuel cell stack sealing leakage rate prediction method of this application; Figure 2 A schematic diagram showing the division of the piano key area and the symmetrical area; Figure 3 This is a graph of the first pressure distribution function; Figure 4 This is a graph of the second pressure distribution function; Figure 5 This is a graph of the third pressure distribution function; Figure 6 This is a schematic diagram of the functional modules of an embodiment of the fuel cell stack seal leakage rate prediction device of this application; Figure 7 This is a schematic diagram of the hardware structure of the fuel cell stack sealing leakage rate prediction device involved in the embodiments of this application. Detailed Implementation

[0016] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0017] First, some of the technical terms used in this application will be explained to help those skilled in the art understand this application.

[0018] In a first aspect, embodiments of this application provide a method for predicting the sealing leakage rate of a fuel cell stack.

[0019] In one embodiment, reference is made to Figure 1 , Figure 1 This is a schematic flowchart of the first embodiment of the fuel cell stack seal leakage rate prediction method of this application. Figure 1 As shown, the method for predicting the leakage rate of fuel cell stack seals includes: Step S10: Obtain the first sealing data and the second sealing data of the fuel cell stack, wherein the first sealing data is the first sealing data of the piano key area and the second sealing data is the second sealing data of the symmetrical area. As an example, based on the differences in the sealing structure of the fuel cell stack, the sealing area is divided into two regions: a piano key area with asymmetrical sealing lines on both sides and a symmetrical area with symmetrical sealing lines on both sides. Figure 2 As shown, Figure 2 This diagram illustrates the division between the piano key area and the symmetrical area. In the overall fuel cell diagram, the black lines represent sealing lines, and the enlarged view of a portion of the 2D model of the piano key area seal shows the leakage channels. The first sealing data is for the piano key area, and the second sealing data is for the symmetrical area. The first and second sealing data are obtained through simulation analysis.

[0020] Step S20: Based on the preset leakage channel height model, obtain the height distribution function according to the first sealing data and the second sealing data; Specifically, the first sealing data includes a first sealing pressure, a second sealing pressure, a first pressure distribution function, and a second pressure distribution function; the second sealing data includes a third pressure distribution function; and the step of obtaining the height distribution function based on the preset leakage channel height model, according to the first sealing data and the second sealing data, includes: calculating a first correction coefficient based on the first sealing pressure and the second sealing pressure; correcting the first pressure distribution function based on the first correction coefficient; obtaining a first height distribution function based on the corrected first pressure distribution function and the preset leakage channel height model; obtaining a second height distribution function based on the second pressure distribution function and the preset leakage channel height model; and obtaining a third height distribution function based on the third pressure distribution function and the preset leakage channel height model.

[0021] As an example, a first correction factor is calculated based on the first sealing pressure and the second sealing pressure. The calculation formula is: first correction factor = second sealing pressure / first sealing pressure, where the first sealing pressure is the maximum sealing pressure along the sealing line in the piano key area, and the second sealing pressure is the average sealing pressure along the sealing line in the piano key area.

[0022] The first pressure distribution function is corrected according to the first correction coefficient. The correction method is to multiply the first pressure distribution function by the first correction coefficient to obtain the corrected first pressure distribution function, wherein the first pressure distribution function is the distribution function of the sealing pressure in the piano key area along the leakage direction.

[0023] Substituting the modified first pressure distribution function, second pressure distribution function, and third pressure distribution function into the preset leakage channel height model, respectively, yields the first height distribution function, second height distribution function, and third height distribution function. The second pressure distribution function represents the distribution of sealing pressure along the sealing line in the piano key area; the third pressure distribution function represents the distribution of sealing pressure along the leakage direction in the symmetrical area; the first height distribution function represents the distribution of the height of the sealing leakage channel along the leakage direction in the piano key area; the second height distribution function represents the distribution of the height of the sealing leakage channel along the sealing line in the piano key area; and the third height distribution function represents the distribution of the height of the sealing leakage channel along the leakage direction in the symmetrical area.

[0024] The preset leakage channel height model is as follows:

[0025] In the formula, P: sealing pressure; : Penetration depth; ℎ: Leakage path height; Ra: Sealing surface roughness; Fitted value: , , , , , , .

[0026] The first pressure distribution function is as follows: Figure 3 As shown, Figure 3 This is a graph of the first pressure distribution function. Figure 3 In the diagram, the horizontal axis represents the position coordinates along the leakage channel in the piano key area, and the vertical axis represents the sealing pressure along the leakage channel in the piano key area. Substituting the first pressure distribution function into the preset leakage channel height model yields the first height distribution function. In the formula, Let be the coordinates of the position along the leakage path in the piano key area. The fitted values ​​for the sealing pressure along the leakage path in the piano key area are as follows: , , , .

[0027] The second pressure distribution function is as follows: Figure 4 As shown, Figure 4 This is a graph of the second pressure distribution function. Figure 4 In the diagram, the horizontal axis represents the position coordinates along the sealing line in the piano key area, and the vertical axis represents the sealing pressure along the sealing line in the piano key area. Substituting the second pressure distribution function into the preset leakage channel height model yields the second height distribution function. .

[0028] The third pressure distribution function is as follows: Figure 5 As shown, Figure 5 This is the third pressure distribution function graph. The horizontal axis represents the position coordinates along the leakage path in the symmetrical region, and the vertical axis represents the sealing pressure along the leakage path in the symmetrical region. Substituting the third pressure distribution function graph into the preset leakage path height model, we obtain the third height distribution function. In the formula, the fitted values ​​include , , , , .

[0029] Step S30: Based on the height distribution function and the obtained leakage gas properties and leakage channel properties of the fuel cell stack, predict the leakage rate of the fuel cell stack seal.

[0030] Specifically, the height distribution function includes a first height distribution function, a second height distribution function, and a third height distribution function. Predicting the leakage rate of the fuel cell stack seal based on the height distribution function, and the obtained leakage gas properties and leakage channel properties of the fuel cell stack, includes: predicting the leakage rate of the symmetrical region based on the obtained leakage gas properties of the symmetrical region, the leakage channel properties, and the third height distribution function; predicting the leakage rate of the piano key region based on the obtained leakage gas properties of the piano key region, the leakage channel properties, the first height distribution function, and the second height distribution function; and predicting the leakage rate of the fuel cell stack seal based on the leakage rate of the symmetrical region and the leakage rate of the piano key region.

[0031] As an example, the Knudsen number is first calculated based on the properties of the leaking gas and the leak channel obtained from the symmetry region. The properties of the leaking gas include its molecular diameter, temperature, and pressure; the properties of the leak channel include its cross-sectional area and perimeter. The formula for calculating the Knudsen number is: Where λ is the mean free path of the gaseous medium molecules. The characteristic length of the leakage channel (here, the hydraulic diameter).

[0032] The formula for calculating the mean free path λ of molecules in a gaseous medium is: ,in, Where is Boltzmann constant, T is fluid temperature, d is effective diameter of fluid molecules, and P is fluid pressure (here, the fluid is leaking gas).

[0033] The formula for calculating Dh is:

[0034] Where A is the area of ​​the leakage channel cross-section, and L is the perimeter of the leakage channel cross-section.

[0035] According to the Roth model, the rough portion of the sealing surface can be considered as consisting of flattened equilateral pyramids that penetrate or flatten the opposing surfaces, forming leakage channels between these pyramids. The model defines the typical cross-sectional shape of the leakage channel formed at the interface contact as an isosceles triangle with a base angle of 4°. Therefore, the area and perimeter of the leakage channel cross-section are calculated using the following formulas: ,

[0036] Where h is the height of the leakage channel, S is the area of ​​the cross-section, and L is the perimeter of the cross-section.

[0037] Then, based on the Knudsen number, a preset calculation formula for the leakage rate of the fuel cell stack seal is determined. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. When Kn is less than or equal to 0.01, the leakage is viscous flow, and the first preset calculation formula is used; when Kn is greater than 0.01 and less than 1, the leakage is transient flow, and the second preset calculation formula is used; when Kn is greater than or equal to 1, the leakage is molecular flow, and the third preset calculation formula is used.

[0038] The first preset calculation formula (viscous flow) is:

[0039] in, Where N is the viscous flow leakage rate, and N is the number of leaking channels in the seal. This is a correction factor for the cross-sectional shape of the leakage channel. The average pressure of the gas medium on both sides of the leakage channel. The viscosity coefficient of the gas medium, , These represent the starting and ending points of the leakage path along the leakage direction.

[0040] The third preset calculation formula (molecular flow) is:

[0041] in, Molecular flow leakage rate, The average rate of gaseous medium analysis is calculated as follows: , where m is the mass of a single gaseous molecule.

[0042] The second preset calculation formula (transition flow) is: ,in, This is a correction factor for viscous flow leakage rate. This is the correction factor for molecular flow leakage rate. For the transition flow leakage rate, For viscous flow leakage rate, This refers to the leakage rate of the transition flow.

[0043] Next, based on the height distribution function and the preset calculation formula, the leakage rate of the fuel cell stack is predicted.

[0044] Specifically, predicting the leakage rate of the piano key area based on the obtained properties of the leaking gas in the piano key area, the properties of the leakage channel, the first height distribution function, and the second height distribution function includes: calculating the Knudsen number based on the obtained properties of the leaking gas and the leakage channel, wherein the properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leakage channel include the cross-sectional area and perimeter of the leakage channel; determining a preset calculation formula for the leakage rate of the fuel cell stack seal based on the Knudsen number, wherein the preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula; predicting the unit-cycle leakage rate of the piano key area based on the first height distribution function, the second height distribution function, and the preset calculation formula; and predicting the overall leakage rate of the piano key area based on the unit-cycle leakage rate of the piano key area and the obtained number of cycles in the piano key area.

[0045] As an example, the Knudsen number is first calculated based on the properties of the leaking gas in the piano key area and the properties of the leaking channel. Then, based on the Knudsen number, a preset calculation formula for the leakage rate of the fuel cell stack seal is determined.

[0046] Next, based on the first height distribution function, the second height distribution function, and the preset calculation formula, the unit period leakage rate of the piano key area is predicted. For example, if the Knudsen number determines that the leaking gas is a viscous flow, then the formula for calculating the unit leakage rate is: , In the formula, The leakage rate per unit period is given, and N is the number of leaking channels in the seal. This is a correction factor for the cross-sectional shape of the leakage channel. The average pressure of the gas medium on both sides of the leakage channel. The viscosity coefficient of the gas medium, , The coordinates of the start and end points of the leakage path within a unit period along the leakage direction in the piano key area are given. , The coordinates of the start and end points of the leakage path within a unit period along the sealing line in the piano key area are given. The first altitude distribution function, This is the second altitude distribution function.

[0047] Finally, based on the unit cycle leakage rate of the piano key area and the number of cycles of the obtained symmetrical area, the leakage rate of the piano key area is predicted. Specifically, the leakage rate of the piano key area is predicted by multiplying the unit cycle leakage rate by the number of cycles of the obtained symmetrical area.

[0048] In another embodiment, the leakage rate of the piano key area is predicted based on the acquired properties of the leaking gas in the piano key area, the properties of the leaking channel, and a first height distribution function. Specifically, this includes: calculating the Knudsen number based on the acquired properties of the leaking gas and the leaking channel, wherein the properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel; determining a preset calculation formula for the leakage rate of the fuel cell stack seal based on the Knudsen number, wherein the preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula; calculating the leakage rate per unit length of the piano key area based on the first height distribution function and the preset calculation formula; and predicting the leakage rate of the piano key area based on the leakage rate per unit length of the piano key area and the acquired seal line length of the piano key area. For example, given the Knudsen number, if the leaking gas in the sealed fuel cell stack is a molecular flow, then substituting the first height distribution function into the third preset calculation formula yields the formula for calculating the leakage rate per unit length in the piano key area. , In the formula, Let A be the leakage rate per unit length of the piano key area, where A is the unit length of the piano key area. This is the first altitude distribution function.

[0049] Then, the leakage rate per unit length of the piano key area is multiplied by the length of the sealing line of the piano key area to obtain the leakage rate of the piano key area.

[0050] Based on the obtained properties of the leaking gas in the symmetrical region, the properties of the leaking channel, and the third height distribution function, the leakage rate of the symmetrical region is predicted by: calculating the Knudsen number based on the obtained properties of the leaking gas and the leaking channel, wherein the properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel; determining a preset calculation formula for the leakage rate of the fuel cell stack seal based on the Knudsen number, wherein the preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula; predicting the leakage rate per unit length of the symmetrical region based on the third height distribution function and the preset calculation formula; and predicting the leakage rate of the symmetrical region based on the leakage rate per unit length of the symmetrical region and the obtained seal line length of the symmetrical region.

[0051] For example, using the Knudsen number to determine the leakage gas in the fuel cell stack seal as a transitional flow, the third height distribution function is substituted into the second preset calculation formula to obtain the leakage rate per unit length of the symmetrical region.

[0052] Then, the leakage rate per unit length of the symmetrical region is multiplied by the sealing line length of the symmetrical region to obtain the leakage rate of the symmetrical region.

[0053] The above method can accurately predict the leakage rate of fuel cell stack seals, providing an important reference for the design and optimization of fuel cell stacks. This method considers the distribution of sealing pressure along the leakage direction caused by the geometry of the seal, the flow state of the leaking fluid at the sealing interface, and the sealing conditions of different areas of a single cell after stack assembly, ensuring the accuracy of the final leakage calculation results.

[0054] Secondly, embodiments of this application also provide a fuel cell stack seal leakage rate prediction device.

[0055] In one embodiment, reference is made to Figure 6 , Figure 6 This is a functional module diagram of an embodiment of the fuel cell stack seal leakage rate prediction device of this application. Figure 6 As shown, the fuel cell stack seal leakage rate prediction device includes: The first acquisition module 01 is used to acquire the first sealing data and the second sealing data of the fuel cell stack, wherein the first sealing data is the first sealing data of the piano key area and the second sealing data is the second sealing data of the symmetrical area. The second acquisition module 02 is used to acquire a height distribution function based on a preset leakage channel height model and according to the first sealing data and the second sealing data; The prediction module 03 is used to predict the leakage rate of the fuel cell stack seal based on the height distribution function and the obtained leakage gas properties and leakage channel properties of the fuel cell stack.

[0056] Furthermore, in one embodiment, the second acquisition module 02 is used for: The first correction factor is calculated based on the first sealing pressure and the second sealing pressure; The first pressure distribution function is corrected according to the first correction coefficient; Based on the corrected first pressure distribution function and the preset leakage channel height model, obtain the first height distribution function; Based on the second pressure distribution function and the preset leakage channel height model, obtain the second height distribution function; The third height distribution function is obtained based on the third pressure distribution function and the preset leakage channel height model.

[0057] Furthermore, in one embodiment, the prediction module 03 is used for: Based on the properties of the leaking gas in the symmetrical region, the properties of the leaking channel, and the third height distribution function, the leakage rate of the symmetrical region is predicted. Based on the properties of the leaked gas in the piano key area, the properties of the leak channel, the first height distribution function, and the second height distribution function, the leakage rate of the piano key area is predicted. Based on the leakage rate of the symmetrical region and the leakage rate of the piano key region, the leakage rate of the fuel cell stack seal is predicted.

[0058] Furthermore, in one embodiment, the prediction module 03 is used for: Based on the properties of the leaking gas in the obtained symmetry region and the properties of the leaking channel, the Knudsen number is calculated. The properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. Based on the third height distribution function and the preset calculation formula, the leakage rate per unit length of the symmetrical region is predicted; The leakage rate of the symmetrical region is predicted based on the leakage rate per unit length of the symmetrical region and the obtained sealing line length of the symmetrical region.

[0059] Furthermore, in one embodiment, the prediction module 03 is used for: Based on the properties of the leaking gas in the piano key area and the properties of the leaking channel, the Knudsen number is calculated. The properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. Based on the first height distribution function, the second height distribution function, and the preset calculation formula, the unit cycle leakage rate of the piano key area is predicted. The leakage rate of the piano key area is predicted based on the unit cycle leakage rate of the piano key area and the number of cycles of the obtained piano key area.

[0060] Furthermore, in one embodiment, the prediction module 03 is used for: Based on the properties of the leaking gas in the symmetrical region, the properties of the leaking channel, and the third height distribution function, the leakage rate of the symmetrical region is predicted. Based on the properties of the leaked gas in the piano key area, the properties of the leak channel, and the first height distribution function, the leakage rate of the piano key area is predicted. Based on the leakage rate of the symmetrical region and the leakage rate of the piano key region, the leakage rate of the fuel cell stack seal is predicted.

[0061] Furthermore, in one embodiment, the prediction module 03 is used for: Based on the properties of the leaking gas in the piano key area and the properties of the leaking channel, the Knudsen number is calculated. The properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. The leakage rate per unit length of the piano key area is calculated based on the first height distribution function and the preset calculation formula. The leakage rate of the piano key area is predicted based on the leakage rate per unit length of the piano key area and the obtained sealing line length of the piano key area. The functions of each module in the above-mentioned fuel cell stack seal leakage rate prediction device correspond to the steps in the above-mentioned fuel cell stack seal leakage rate prediction method embodiment, and their functions and implementation processes will not be described in detail here.

[0062] Thirdly, this application provides a fuel cell stack seal leakage rate prediction device, which can be a personal computer (PC), laptop computer, server or other device with data processing capabilities.

[0063] Reference Figure 7 , Figure 7 This is a schematic diagram of the hardware structure of the fuel cell stack seal leakage rate prediction device involved in the embodiments of this application. In the embodiments of this application, the fuel cell stack seal leakage rate prediction device may include a processor, a memory, a communication interface, and a communication bus.

[0064] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0065] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces for interconnecting devices within the fuel cell stack sealing leakage rate prediction device, as well as interfaces for interconnecting the fuel cell stack sealing leakage rate prediction device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0066] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0067] The processor can be a general-purpose processor, which can call the fuel cell stack seal leakage rate prediction program stored in the memory and execute the fuel cell stack seal leakage rate prediction method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the fuel cell stack seal leakage rate prediction program is called can refer to the various embodiments of the fuel cell stack seal leakage rate prediction method of this application, and will not be repeated here.

[0068] Those skilled in the art will understand that Figure 7 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0069] Fourthly, embodiments of this application also provide a computer-readable storage medium.

[0070] The present application stores a fuel cell stack seal leakage rate prediction program on a computer-readable storage medium, wherein when the fuel cell stack seal leakage rate prediction program is executed by a processor, it implements the steps of the above-described fuel cell stack seal leakage rate prediction method.

[0071] The method implemented when the fuel cell stack seal leakage rate prediction program is executed can be referred to in the various embodiments of the fuel cell stack seal leakage rate prediction method of this application, and will not be repeated here.

[0072] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0073] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0074] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0075] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0076] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0077] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0078] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for predicting the sealing leakage rate of a fuel cell stack, characterized in that, The method for predicting the fuel cell stack seal leakage rate includes: Acquire first sealing data and second sealing data of the fuel cell stack, wherein the first sealing data is the first sealing data of the piano key area and the second sealing data is the second sealing data of the symmetrical area; Based on the pre-set leakage channel height model, the height distribution function is obtained according to the first sealing data and the second sealing data; Based on the height distribution function, and the obtained leakage gas properties and leakage channel properties of the fuel cell stack, the leakage rate of the fuel cell stack seal is predicted.

2. The fuel cell stack sealing leakage rate prediction method as described in claim 1, characterized in that, The height distribution function includes a first height distribution function, a second height distribution function, and a third height distribution function. The step of predicting the leakage rate of the fuel cell stack seal based on the height distribution function, and by obtaining the leakage gas properties and leakage channel properties of the fuel cell stack, includes: Based on the properties of the leaking gas in the symmetrical region, the properties of the leaking channel, and the third height distribution function, the leakage rate of the symmetrical region is predicted. Based on the properties of the leaked gas in the piano key area, the properties of the leak channel, the first height distribution function, and the second height distribution function, the leakage rate of the piano key area is predicted. Based on the leakage rate of the symmetrical region and the leakage rate of the piano key region, the leakage rate of the fuel cell stack seal is predicted.

3. The fuel cell stack sealing leakage rate prediction method as described in claim 2, characterized in that, The step of predicting the leakage rate of the symmetrical region based on the obtained properties of the leaking gas in the symmetrical region, the properties of the leakage channel, and the third height distribution function includes: Based on the properties of the leaking gas in the obtained symmetry region and the properties of the leaking channel, the Knudsen number is calculated. The properties of the leaking gas include the molecular diameter, temperature, and pressure of the leaking gas, and the properties of the leaking channel include the cross-sectional area and perimeter of the leaking channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. Based on the third height distribution function and the preset calculation formula, the leakage rate per unit length of the symmetrical region is predicted; The leakage rate of the symmetrical region is predicted based on the leakage rate per unit length of the symmetrical region and the obtained sealing line length of the symmetrical region.

4. The fuel cell stack seal leakage rate prediction method as described in claim 2, characterized in that, The step of predicting the leakage rate of the piano key area based on the obtained properties of the leaked gas in the piano key area, the properties of the leakage channel, the first height distribution function, and the second height distribution function includes: Based on the properties of the leaked gas in the piano key area and the properties of the leak channel, the Knudsen number is calculated. The properties of the leaked gas include the molecular diameter, temperature, and pressure of the leaked gas, and the properties of the leak channel include the cross-sectional area and perimeter of the leak channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. Based on the first height distribution function, the second height distribution function, and the preset calculation formula, the unit cycle leakage rate of the piano key area is predicted. The leakage rate of the piano key area is predicted based on the unit cycle leakage rate of the piano key area and the number of cycles of the obtained piano key area.

5. The fuel cell stack seal leakage rate prediction method as described in claim 1, characterized in that, The height distribution function includes a first height distribution function and a third height distribution function. The step of predicting the leakage rate of the fuel cell stack seal based on the height distribution function, and by obtaining the leakage gas properties and leakage channel properties of the fuel cell stack, includes: Based on the properties of the leaking gas in the symmetrical region, the properties of the leaking channel, and the third height distribution function, the leakage rate of the symmetrical region is predicted. Based on the properties of the leaked gas in the piano key area, the properties of the leak channel, and the first height distribution function, the leakage rate of the piano key area is predicted. Based on the leakage rate of the symmetrical region and the leakage rate of the piano key region, the leakage rate of the fuel cell stack seal is predicted.

6. The fuel cell stack seal leakage rate prediction method as described in claim 5, characterized in that, The step of predicting the leakage rate of the piano key area based on the obtained properties of the leaked gas in the piano key area, the properties of the leakage channel, and the first height distribution function includes: Based on the properties of the leaked gas in the piano key area and the properties of the leak channel, the Knudsen number is calculated. The properties of the leaked gas include the molecular diameter, temperature, and pressure of the leaked gas, and the properties of the leak channel include the cross-sectional area and perimeter of the leak channel. Based on the Knudsen number, a preset calculation formula is used to determine the leakage rate of the fuel cell stack seal. The preset calculation formula includes a first preset calculation formula, a second preset calculation formula, or a third preset calculation formula. The leakage rate per unit length of the piano key area is calculated based on the first height distribution function and the preset calculation formula. The leakage rate of the piano key area is predicted based on the leakage rate per unit length of the piano key area and the obtained sealing line length of the piano key area.

7. The fuel cell stack seal leakage rate prediction method as described in claim 1, characterized in that, The first sealing data includes a first sealing pressure, a second sealing pressure, a first pressure distribution function, and a second pressure distribution function; the second sealing data includes a third pressure distribution function; and the step of obtaining the height distribution function based on the preset leakage channel height model, according to the first sealing data and the second sealing data, includes: The first correction coefficient is calculated based on the first sealing pressure and the second sealing pressure. number; The first pressure distribution function is corrected according to the first correction coefficient; Based on the corrected first pressure distribution function and the preset leakage channel height model, obtain the first height distribution function; Based on the second pressure distribution function and the preset leakage channel height model, obtain the second height distribution function; The third height distribution function is obtained based on the third pressure distribution function and the preset leakage channel height model.

8. A fuel cell stack seal leakage rate prediction device, characterized in that, The fuel cell stack seal leakage rate prediction device includes: The first acquisition module is used to acquire first sealing data and second sealing data of the fuel cell stack, wherein the first sealing data is the first sealing data of the piano key area and the second sealing data is the second sealing data of the symmetrical area. The second acquisition module is used to acquire a height distribution function based on a preset leakage channel height model and according to the first sealing data and the second sealing data; The prediction module is used to predict the leakage rate of the fuel cell stack seal based on the height distribution function and the obtained leakage gas properties and leakage channel properties of the fuel cell stack.

9. A fuel cell stack seal leakage rate prediction device, characterized in that, The fuel cell stack seal leakage rate prediction device includes a processor, a memory, and a fuel cell stack seal leakage rate prediction program stored in the memory and executable by the processor, wherein when the fuel cell stack seal leakage rate prediction program is executed by the processor, it implements the steps of the fuel cell stack seal leakage rate prediction method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a fuel cell stack seal leakage rate prediction program, wherein when the fuel cell stack seal leakage rate prediction program is executed by a processor, it implements the steps of the fuel cell stack seal leakage rate prediction method as described in any one of claims 1 to 7.

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