Fuel cell consistency detection method and device, electronic equipment and storage medium

Abstract

The application provides a fuel cell consistency detection method and device, electronic equipment and a storage medium, relates to the technical field of fuel cell detection, and specifically relates to the following: test data of each single cell to be detected is acquired; the test data includes a plurality of voltage sampling values and current sampling values; three parameters of each single cell are solved by using the test data based on a preset single cell parameter calculation formula, and average values of the three parameters of all single cells are calculated respectively; the three parameters of each single cell are subtracted from the average values of the three parameters of all single cells, and a weighted average of absolute values of the three differences is taken as a consistency parameter of each single cell; the consistency parameter of each single cell is compared with a threshold value to obtain a consistency detection result. The application improves the consistency detection precision of the fuel cell.

Description

Technical Field

[0001] This application relates to the field of fuel cell testing technology, and in particular to fuel cell conformity testing methods, devices, electronic equipment and storage media. Background Technology

[0002] A proton exchange membrane fuel cell stack consists of dozens to hundreds of individual cells, each composed of a membrane electrode assembly (MEA) and bipolar plates. Excessive inconsistency in the performance of individual cells can reduce the performance and efficiency of the stack and system, increasing the risk of failure.

[0003] Currently, the consistency testing of individual fuel cell cells typically uses voltage testing, which has relatively low accuracy and poor intuitiveness. Summary of the Invention

[0004] In view of this, this application provides a fuel cell conformity testing method, apparatus, electronic device, and storage medium to solve the technical problem of low accuracy in existing fuel cell single cell conformity testing methods.

[0005] On one hand, embodiments of this application provide a fuel cell consistency detection method, applied to a proton exchange membrane fuel cell stack composed of multiple single cells connected in series, including:

[0006] Acquire test data for each individual cell to be tested; the test data includes multiple voltage and current sample values;

[0007] Based on the preset single-cell parameter calculation formula, the three parameters of each single cell are obtained by using the test data: reversible electromotive force, Tafel slope and ohmic resistance, and the average value of the three parameters of all single cells is calculated respectively.

[0008] The three parameters of each cell are subtracted from the average of the three parameters of all cells, and the weighted average of the absolute values ​​of the three differences is used as the consistency parameter of each cell.

[0009] The consistency parameters of each individual cell are compared with a threshold to obtain the consistency detection result.

[0010] Furthermore, test data for each individual cell to be tested is obtained, including:

[0011] Set the minimum electrical security value 'a' for electrical security testing. min Maximum electrical density a max and test runtime t;

[0012] Set the electrical density value for each electrical density test: the first electrical density value is the minimum electrical density value 'a'. min The electrical density value is then increased sequentially until the maximum electrical density value a is reached.max Then the electrical density value is gradually decreased until the final electrical density value is the minimum electrical density value a. min ;

[0013] The proton exchange membrane fuel cell stack was subjected to multiple electrical density tests according to the set electrical density value. In each electrical density test, the voltage and current of each single cell were collected at the set sampling interval until the test running time t was reached.

[0014] The voltage and current of each cell were collected during all electrical tightness tests and used as the test data for each cell.

[0015] Furthermore, the preset formula for calculating single-cell parameters is as follows:

[0016] U = E r +b log i0-b log I-RI

[0017] Where U is voltage, I is current, and E is voltage. r Let be the reversible electromotive force, b be the Tafel slope, R be the ohmic resistance, i0 be the exchange current density, and is a constant.

[0018] Furthermore, based on the preset single-cell parameter calculation formula, the three parameters of each single cell are obtained using the test data, including:

[0019] For the nth single cell, the obtained test data is substituted into the single cell parameter calculation formula to obtain:

[0020] U n，m，k =E r n +b n log i0-b log I n，m，k -R n I n，m，k

[0021] Among them, E r n Let b be the reversible electromotive force of the nth single cell. n Let R be the Tafel slope of the nth single cell. n U is the ohmic resistance of the nth single cell; n，m，k and I n，m，k Let M be the k-th voltage and current sample values ​​of the m-th electrical tightness test, 1≤m≤M, 1≤k≤K, 1≤n≤N; M is the number of electrical tightness tests, K is the number of samples in each electrical tightness test, and N is the number of single cells.

[0022] This yields M×K equations, where E r n bn and R n As unknowns in the solution, the least squares method is used for fitting or the Kalman filter is used for solving to obtain the three parameters of the nth single cell.

[0023] Furthermore, the average values ​​of the three parameters for all individual cells are calculated separately, including:

[0024] Calculate the average reversible electromotive force of N single cells.

[0025]

[0026] Calculate the average Tafel slope of N single cells.

[0027]

[0028] Calculate the average ohmic resistance of N single cells.

[0029]

[0030] Step 104: Calculate the consistency parameters of a single cell;

[0031] Furthermore, the three parameters of each individual cell are subtracted from the average of the three parameters of all individual cells. The weighted average of the absolute values ​​of the three differences is used as the consistency parameter for each individual cell, including:

[0032] Calculate the consistency parameter S of the nth single cell. n :

[0033]

[0034] Among them, w Er For the reversible electromotive force weight, w b For Tafel weights, w R The weight is the ohmic resistance.

[0035] On the other hand, embodiments of this application provide a fuel cell conformity testing device, including:

[0036] The acquisition unit is used to acquire test data of each single cell to be tested; the test data includes multiple voltage sample values ​​and current sample values;

[0037] The single-cell parameter calculation unit is used to calculate the three parameters of each single cell based on the test data using the preset single-cell parameter calculation formula: reversible electromotive force, Tafel slope and ohmic resistance; and to calculate the average value of the three parameters of all single cells respectively.

[0038] The consistency parameter calculation unit is used to calculate the difference between the three parameters of each cell and the average of the three parameters of all cells, and the weighted average of the absolute values ​​of the three differences is used as the consistency parameter of each cell.

[0039] The detection unit is used to compare the consistency parameters of each single cell with a threshold to obtain the consistency detection result.

[0040] On the other hand, embodiments of this application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the fuel cell conformity detection method of embodiments of this application.

[0041] On the other hand, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the fuel cell conformance detection method of embodiments of this application.

[0042] The beneficial effects of the embodiments of this application are as follows:

[0043] In this embodiment, test data for each battery is obtained, and three parameters for each battery are calculated. The three parameters of each single battery are then subtracted from the average of the three parameters of all single batteries. The weighted average of the absolute values ​​of the three differences is used as the consistency parameter of each single battery, which serves as the basis for evaluating the consistency of single batteries. This can effectively improve the detection accuracy and provide a direct and accurate understanding of the consistency of each battery.

[0044] Other features and advantages of this application will be set forth in the following description, or some features and advantages may be inferred from the description or determined without doubt, or may be learned by practicing the techniques disclosed in this application. To make the above-mentioned objects, features, and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0045] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0046] Figure 1 A flowchart of the fuel cell conformity detection method provided in the embodiments of this application;

[0047] Figure 2This is a functional structure diagram of the fuel cell conformity testing device provided in the embodiments of this application;

[0048] Figure 3 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0050] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0051] First, a brief introduction to the design concept of the embodiments of this application will be given.

[0052] A proton exchange membrane fuel cell stack consists of dozens to hundreds of individual cells. Excessive inconsistency in the performance of these individual cells can reduce the performance and efficiency of the stack and system, and increase the risk of failure. Currently, the consistency testing of individual fuel cell cells typically uses voltage detection, which has relatively low accuracy and poor intuitiveness.

[0053] To address the aforementioned issues, this application provides a fuel cell consistency detection method: acquiring test data for each individual cell to be tested; the test data includes multiple voltage and current sample values; based on a preset formula for calculating individual cell parameters, using the test data to calculate three parameters for each individual cell: reversible electromotive force, Tafel slope, and ohmic resistance, and calculating the average of the three parameters for all individual cells; subtracting the three parameters of each individual cell from the average of the three parameters for all individual cells, and using the weighted average of the absolute values ​​of the three differences as the consistency parameter for each individual cell; comparing the consistency parameter of each individual cell with a threshold to obtain the consistency detection result. This application links individual cell test data with simulation parameters, thereby calculating the consistency basis for individual cells, which has the advantages of being more intuitive, simpler, and more accurate. The method of this application can improve stack performance, reduce the failure risk of fuel cell systems, and improve the efficiency and safety of fuel cell systems.

[0054] After introducing the application scenarios and design concepts of the embodiments of this application, the technical solutions provided by the embodiments of this application will be described below.

[0055] like Figure 1 As shown in the figure, this application provides a fuel cell conformity detection method, including the following steps:

[0056] Step 101: Obtain test data for each individual cell to be tested;

[0057] In this embodiment, the proton exchange membrane fuel cell stack consists of N single cells connected in series, where 100 < N < 500.

[0058] Set the minimum electrical security value 'a' for electrical security testing. min Maximum electrical density a max and the test runtime t; where 0.1 min <0.2;

[0059] Set the electrical density value for each electrical density test: the first electrical density value is the minimum electrical density value 'a'. min The electrical density value is gradually increased until the maximum electrical density value a is reached. max Then the electrical density value is gradually decreased until the final electrical density value is the minimum electrical density value a. min The electrical density value that is increased each time can be the same or different, and the electrical density value that is decreased each time can be the same or different.

[0060] The proton exchange membrane fuel cell stack was subjected to multiple electrical density tests according to the set electrical density value. In each electrical density test, the voltage and current of each single cell were collected at the set sampling interval until the test running time t was reached.

[0061] The voltage and current of each individual cell are collected during all electrical tightness tests, serving as the test data for each cell. For each cell, M×K sets of test data can be obtained, where M is the number of electrical tightness tests and K is the number of sampling points in each electrical tightness test.

[0062] In a specific example, the electrical tightness test parameters are designed as shown in the table below:

[0063] 1 a＝0.1 3 2 a+0.1 3 3 a+0.2 3 4 a+0.3 3 5 a+0.4 3 6 a+0.5 3 7 a+0.4 3 8 a+0.3 3 9 a+0.2 3 10 a+0.1 3 11 a 3

[0064] In the table above, the test run time t = 3 minutes, the number of tests M = 11, and for each test condition, if the sampling interval is 1 second, then K = 180.

[0065] Step 102: Based on the test data and the single-cell parameter calculation formula, calculate the three parameters of each single cell; then calculate the average of the three parameters of all single cells. ​

[0066] First, establish the formula for calculating single-cell parameters:

[0067] U = E r +b log i0-b log I-RI

[0068] Where U is voltage, I is current, and E is voltage. r Let be the reversible electromotive force, b be the Tafel slope, R be the ohmic resistance, and i0 be a constant. The reversible electromotive force, Tafel slope, and ohmic resistance are the three parameters to be solved.

[0069] For the nth single cell, the kth voltage and current sample values ​​obtained in step 101 from the mth electrical tightness test are: U n，m，k and I n，m，k Substituting the parameters into the single-cell calculation formula, we get:

[0070] U n，m，k =E r n +b n logi0-b log I n，m，k -R n I n，m，k

[0071] Among them, E r n Let b be the reversible electromotive force of the nth single cell. n Let R be the Tafel slope of the nth single cell. n U is the ohmic resistance of the nth single cell; n，m，k and I n，m，k Let be the kth voltage and current sampling values ​​of the mth electrical tightness test, where 1≤m≤M, 1≤k≤K, and 1≤n≤N;

[0072] This yields M×K equations, where E r n b n and R n As unknowns in the solution, the least squares method is used for fitting, or the Kalman filter is used for solving.

[0073] Calculate the average reversible electromotive force of N single cells.

[0074]

[0075] Calculate the average Tafel slope of N single cells.

[0076]

[0077] Calculate the average ohmic resistance of N single cells.

[0078]

[0079] Step 103: Calculate the consistency parameters for each individual cell;

[0080] In this step, the three parameters of the nth single cell are subtracted from the average of the three parameters of the N single cells, and the weighted average of the absolute values ​​of the three differences is taken as the consistency parameter S of the nth single cell. n :

[0081]

[0082] Among them, w Er w b and w R The weighted value is determined based on the magnitude of the impact of a unit change on the battery terminal voltage.

[0083] Monte Carlo simulations were performed using the Simulink Design Optimization tool in Matlab. First, the Tafel slope and ohmic resistance were kept constant, and the reversible electromotive force was varied by ΔE. r Obtain the change in terminal voltage ΔU T Then the reversible electromotive force weight w Er for:

[0084]

[0085] Then, keeping the reversible electromotive force and ohmic resistance constant, and changing the Tafel slope by Δb, the change in terminal voltage ΔU is obtained. T Then the Tafel slope weight w b for:

[0086]

[0087] Finally, keeping the reversible electromotive force and Tafel slope constant, and changing the ohmic resistance by ΔR, the change in terminal voltage ΔU is obtained. T Then the weight of the ohmic resistance w R for:

[0088]

[0089] Consistency parameter S n The smaller the value, the higher the consistency of the single cell.

[0090] Step 104: Compare the consistency parameters of each single cell with the detection threshold to obtain the detection results;

[0091] If the consistency parameter of a single cell is less than the detection threshold, it indicates that the single cell meets the consistency requirements; otherwise, it does not meet the consistency requirements.

[0092] Based on the above embodiments, this application provides a fuel cell conformity detection device, see below. Figure 2 As shown, the fuel cell conformity testing device 200 provided in this application embodiment includes at least:

[0093] The acquisition unit 201 is used to acquire test data of each single cell to be tested; the test data includes multiple voltage sample values ​​and current sample values;

[0094] The single-cell parameter calculation unit 202 is used to calculate the three parameters of each single cell based on the preset single-cell parameter calculation formula and the test data, and to calculate the average value of the three parameters of all single cells respectively.

[0095] The consistency parameter calculation unit 203 is used to calculate the difference between the three parameters of each cell and the average of the three parameters of all cells, and to take the weighted average of the absolute values ​​of the three differences as the consistency parameter of each cell.

[0096] The detection unit 204 is used to compare the consistency parameters of each single cell with a threshold to obtain the consistency detection result.

[0097] As one possible implementation, the acquisition unit 201 is specifically used for:

[0098] Set the minimum electrical security value 'a' for electrical security testing. min Maximum electrical density a max and test runtime t;

[0099] Set the electrical density value for each electrical density test: the first electrical density value is the minimum electrical density value 'a'. min The electrical density value is gradually increased until the maximum electrical density value a is reached. max Then the electrical density value is gradually decreased until the final electrical density value is the minimum electrical density value a. min ;

[0100] The proton exchange membrane fuel cell stack was subjected to multiple electrical density tests according to the set electrical density value. In each electrical density test, the voltage and current of each single cell were collected at the set sampling interval until the test running time t was reached.

[0101] The voltage and current of each cell were collected during all electrical tightness tests and used as the test data for each cell.

[0102] As one possible implementation, the single-cell parameter calculation unit 202 is specifically used for:

[0103] For the nth single cell, the obtained test data is substituted into the single cell parameter calculation formula to obtain:

[0104] U n，m，k =E r n +b n log i0-b log I n，m，k -R n I n，m，k

[0105] Among them, E r n Let b be the reversible electromotive force of the nth single cell. n Let R be the Tafel slope of the nth single cell. n U is the ohmic resistance of the nth single cell; n，m，k and I n，m，k Let M be the k-th voltage and current sample values ​​of the m-th electrical tightness test, 1≤m≤M, 1≤k≤K, 1≤n≤N; M is the number of electrical tightness tests, K is the number of samples in each electrical tightness test, and N is the number of single cells.

[0106] This yields M×K equations, where E r n b n and R n As unknowns in the solution, the least squares method is used for fitting or the Kalman filter is used for solving to obtain the three parameters of the nth single cell.

[0107] Calculate the average reversible electromotive force of N single cells.

[0108]

[0109] Calculate the average Tafel slope of N single cells.

[0110]

[0111] Calculate the average ohmic resistance of N single cells.

[0112]

[0113] As one possible implementation, the consistency parameter calculation unit 203 is specifically used for:

[0114] Calculate the consistency parameter S of the nth single cell. n :

[0115]

[0116] Among them, w Er For the reversible electromotive force weight, w b For Tafel weights, w R The weight is the ohmic resistance.

[0117] It should be noted that the principle of the fuel cell conformity testing device 200 provided in this application embodiment to solve the technical problem is similar to that of the fuel cell conformity testing method provided in this application embodiment. Therefore, the implementation of the fuel cell conformity testing device 200 provided in this application embodiment can refer to the implementation of the fuel cell conformity testing method provided in this application embodiment, and the repeated parts will not be described again.

[0118] Based on the above embodiments, this application also provides an electronic device, see below. Figure 3 As shown, the electronic device 300 provided in this application embodiment includes at least: a processor 301, a memory 302, and a computer program stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program, it implements the fuel cell conformity detection method provided in this application embodiment.

[0119] The electronic device 300 provided in this application embodiment may further include a bus 303 connecting different components (including processor 301 and memory 302). The bus 303 represents one or more types of bus structures, including memory bus, peripheral bus, local area bus, etc.

[0120] The memory 302 may include a readable medium in the form of volatile memory, such as random access memory (RAM) 3021 and / or cache memory 3022, and may further include read-only memory (ROM) 3023.

[0121] The memory 302 may also include a program tool 3024 having a set (at least one) of program modules 3025, including but not limited to: an operating subsystem, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0122] Electronic device 300 can also communicate with one or more external devices 304 (e.g., keyboard, remote control, etc.), and with one or more devices that enable a user to interact with electronic device 300 (e.g., mobile phone, computer, etc.), and / or with any device that enables electronic device 300 to communicate with one or more other electronic devices 300 (e.g., router, modem, etc.). This communication can be performed through input / output (I / O) interface 305. Furthermore, electronic device 300 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 306. Figure 3 As shown, network adapter 306 communicates with other modules of electronic device 300 via bus 303. It should be understood that, although... Figure 3 As not shown, other hardware and / or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, Redundant Arrays of Independent Disks (RAID) subsystems, tape drives, and data backup storage subsystems.

[0123] It should be noted that, Figure 3 The electronic device 300 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0124] This application also provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the fuel cell conformance detection method provided in this application.

[0125] It should be noted that although several units or sub-units of the device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of this application, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units.

[0126] Furthermore, although the operations of the method of this application are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0127] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A fuel cell consistency testing method, applied to a proton exchange membrane fuel cell stack composed of multiple single cells connected in series, characterized in that, include: Acquire test data for each single cell to be tested; the test data includes multiple voltage and current sampling values; wherein, the minimum and maximum electrical density values ​​for electrical density testing are set; the current density value is increased sequentially, and then decreased sequentially, and during this process, the voltage and current of each single cell are collected as the test data according to the set sampling interval; Based on the preset formula for calculating single-cell parameters, the three parameters of each single cell are obtained using the test data: reversible electromotive force, Tafel slope, and ohmic resistance; and the average value of the three parameters of all single cells is calculated respectively. The three parameters of each single cell are subtracted from the average of the three parameters of all single cells, and the weighted average of the absolute values ​​of the three differences is used as the consistency parameter of each single cell. The weights of reversible electromotive force, Tafel slope, and ohmic resistance in the weighted average are determined according to the magnitude of the influence of the unit change of each parameter on the battery terminal voltage. For the weight of any parameter among reversible electromotive force, Tafel slope, and ohmic resistance, the change in terminal voltage is obtained under the condition that the parameter changes while the other two parameters remain unchanged, and the weight of the parameter is determined based on the ratio of the change in terminal voltage to the change in the parameter. The consistency parameters of each individual cell are compared with a threshold to obtain the consistency detection result.

2. The fuel cell conformity detection method according to claim 1, characterized in that, Obtain test data for each individual cell to be tested, including: Set the minimum electrical density value for electrical density testing under electrical density conditions. Maximum electrical density and test run time ; Set the electrical security value for each electrical security test: the minimum electrical security value for the first test. The electrical density value is then increased gradually until the maximum electrical density value is reached. Then the electrical density value is gradually decreased until the final electrical density value is the minimum electrical density value. ; The proton exchange membrane fuel cell stack was subjected to multiple electrical density tests according to the set electrical density value. In each electrical density test, the voltage and current of each individual cell were collected at the set sampling interval until the test run time was reached. ; The voltage and current of each cell were collected during all electrical tightness tests and used as the test data for each cell.

3. The fuel cell conformity detection method according to claim 2, characterized in that, The preset formula for calculating single-cell parameters is: in, For voltage, For current, It is a reversible electromotive force. Let the Tafel slope be... For ohm resistance, Let be the exchange current density, and be a constant.

4. The fuel cell conformity detection method according to claim 3, characterized in that, Based on the preset formula for calculating single-cell parameters, the three parameters of each single cell are obtained using the test data, including: For the For a single cell, the obtained test data is substituted into the single cell parameter calculation formula to obtain: in, For the first The reversible electromotive force of a single-cell battery. For the first The Tafel slope of a single cell, For the first The ohmic resistance of a single cell; and For the first The first electrical security test under the second electrical tightness condition. Each voltage sample value and current sample value, , , ; The number of electrical tightness tests. The number of samples taken in each electrical tightness test. The number of individual cells; Therefore, we obtain Equations, , and As the unknowns to be solved, the least squares method is used for fitting or the Kalman filter is used to obtain the th... Three parameters of a single-cell battery.

5. The fuel cell conformity detection method according to claim 4, characterized in that, Calculate the average of the three parameters for all individual cells, including: calculate Average reversible electromotive force of a single cell : calculate Tafel slope of a single cell calculate Average ohmic resistance of a single cell 。 6. The fuel cell conformity detection method according to claim 5, characterized in that, The three parameters of each individual cell are subtracted from the average of the three parameters of all individual cells. The weighted average of the absolute values ​​of the three differences is used as the consistency parameter for each individual cell, including: Calculate the first Consistency parameters of single cell : in, The weight is the reversible electromotive force. For Tafel weights, The weight is the ohmic resistance.

7. A fuel cell conformity testing device, characterized in that, include: The acquisition unit is used to acquire test data of each single cell to be tested; the test data includes multiple voltage sampling values ​​and current sampling values; wherein, the minimum and maximum electrical density values ​​for electrical density testing are set; the current density value is increased sequentially and then decreased sequentially, and in this process, the voltage and current of each single cell are collected as the test data according to the set sampling interval; The single-cell parameter calculation unit is used to calculate the three parameters of each single cell based on the test data using the preset single-cell parameter calculation formula: reversible electromotive force, Tafel slope and ohmic resistance; and to calculate the average value of the three parameters of all single cells respectively. The consistency parameter calculation unit is used to calculate the difference between the three parameters of each single cell and the average of the three parameters of all single cells, and to take the weighted average of the absolute values ​​of the three differences as the consistency parameter of each single cell. The weights of reversible electromotive force, Tafel slope, and ohmic resistance in the weighted average are determined based on the magnitude of the influence of the unit change of each parameter on the battery terminal voltage. For the weight of any parameter among reversible electromotive force, Tafel slope, and ohmic resistance, the change in terminal voltage is obtained under the condition that the parameter changes while the other two parameters remain unchanged, and the weight of the parameter is determined based on the ratio of the change in terminal voltage to the change in the parameter. The detection unit is used to compare the consistency parameters of each single cell with a threshold to obtain the consistency detection result.

8. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the fuel cell conformity detection method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the fuel cell conformity detection method as described in any one of claims 1-6.

Images