Solid oxide fuel cell stack on-line air leakage fault diagnosis method
By calculating the theoretical and actual heat release power difference of solid oxide fuel cell stack, early identification and accurate diagnosis of stack leakage faults is achieved, and the problems of low detection efficiency and poor sensitivity in the prior art are solved.
Patent Information
- Application Number
- CN202411950883.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-06-13
AI Technical Summary
In the prior art, the detection efficiency of air leakage faults of solid oxide fuel cell stacks is low and the sensitivity is poor, making it difficult to identify early air leakage.
By obtaining the current voltage, current current, current temperature and current heat box temperature of the solid oxide fuel cell stack, the difference between the theoretical heat discharge power and the actual heat discharge power is calculated. If the absolute value of the difference is greater than the preset threshold, it is determined that there is a leak fault.
It improves the efficiency, sensitivity and accuracy of detection of air leakage faults in solid oxide fuel cell stacks, can identify air leakage faults in the early stage, and has high stability.
Smart Images
Figure CN120149461A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of solid oxide fuel cells, and particularly to an online air leakage fault diagnosis method for a solid oxide fuel cell stack. Background Art
[0002] Currently, there are various technologies and methods for detecting air leakage faults in solid oxide fuel cell stacks.
[0003] In related technologies, the following main methods are used to detect air leakage faults in solid oxide fuel cell stacks: (1) Using a vane to detect air leakage. When there is air leakage in the stack, the leaked gas will blow the vane at the corresponding position to rotate; (2) Based on the principle of pneumatic balance, analyzing the relationship between the gas concentration, gas flow rate, and current at the inlet and outlet of the stack. If air leakage occurs, the predicted value of the gas concentration at the outlet of the stack will deviate; (3) Diagnosing the operating state of the stack by comparing the working current and voltage of a single cell with the characteristic parameters in a preset database.
[0004] However, for the first method of detecting by vane, the sensitivity of the device is low, and it is difficult to identify early air leakage; for the second method based on the principle of pneumatic balance, it is not robust to measurement noise, and the gas concentration measurement error is large, making it difficult to identify early air leakage; for the third method of comparing characteristic parameters, the measurement diagnosis sensitivity and accuracy are poor, and it is difficult to identify when the air leakage volume is small, and there is a certain risk of misjudgment, which urgently needs to be solved. Summary of the Invention
[0005] This application provides an online air leakage fault diagnosis method for a solid oxide fuel cell stack to solve the problems of low detection efficiency and poor sensitivity in detecting air leakage faults in solid oxide fuel cell stacks in related technologies.
[0006] The first aspect embodiment of this application provides an online air leakage fault diagnosis method for a solid oxide fuel cell stack, including the following steps:
[0007] Obtain the current voltage, current current, current temperature, and current hot box temperature of the solid oxide fuel cell stack;
[0008] Obtain the theoretical heat release power of the solid oxide fuel cell stack according to the current voltage and the current current, and calculate the actual heat release power of the solid oxide fuel cell stack according to the current temperature and the current hot box temperature;
[0009] Obtain the air leakage fault diagnosis result of the solid oxide fuel cell stack according to the theoretical heat release power and the actual heat release power.
[0010] Optionally, obtaining the air leakage fault diagnosis result of the solid oxide fuel cell stack based on the theoretical heat release power and the actual heat release power includes:
[0011] Calculating the difference between the theoretical heat release power and the actual heat release power of the stack;
[0012] If the absolute value of the difference is greater than a preset threshold, it is determined that there is an air leakage fault in the solid oxide fuel cell stack; otherwise, it is determined that there is no air leakage fault in the solid oxide fuel cell stack.
[0013] Optionally, after determining that there is an air leakage fault in the solid oxide fuel cell stack, it further includes:
[0014] Generating an air leakage fault reminder based on the air leakage fault diagnosis result;
[0015] Performing an acoustic alarm reminder and / or an optical alarm reminder based on the air leakage fault reminder.
[0016] Optionally, the theoretical heat release power is:
[0017]
[0018] where I is the current current of the solid oxide fuel cell stack, ΔH is the enthalpy change of the chemical reaction at the operating temperature, n is the number of electrons released by the complete oxidation of a single molecule of fuel, F is the Faraday constant, N stack is the number of cell sheets of the solid oxide fuel cell stack, and V is the current voltage of the solid oxide fuel cell stack.
[0019] Optionally, the actual heat release power is:
[0020]
[0021] where C h is the heat box heat capacity, C stack is the stack heat capacity, T h is the average temperature of the heat box and the stack, P h is the electric heating power, K hr is the equivalent heat conductance between the heat box and the environment, T r is the operating environment temperature of the stack, is the equivalent heat conductance between the stack and the fuel electrode gas, is the fuel electrode inlet temperature, is the equivalent heat conductance between the stack and the oxygen electrode gas, is the oxygen electrode inlet temperature.
[0022] The second aspect of the embodiments of the present application provides an on-line air leakage fault diagnosis device for a solid oxide fuel cell stack, including:
[0023] An acquisition module, configured to acquire the current voltage, current, current temperature, and current hot box temperature of a solid oxide fuel cell stack;
[0024] A calculation module, configured to obtain the theoretical heat release power of the solid oxide fuel cell stack according to the current voltage and the current, and calculate the actual heat release power of the solid oxide fuel cell stack according to the current temperature and the current hot box temperature;
[0025] A diagnosis module, configured to obtain a leakage fault diagnosis result of the solid oxide fuel cell stack according to the theoretical heat release power and the actual heat release power.
[0026] Optionally, the diagnosis module includes:
[0027] Calculate the difference between the theoretical heat release power and the actual heat release power of the stack;
[0028] If the absolute value of the difference is greater than a preset threshold, it is determined that the solid oxide fuel cell stack has a leakage fault; otherwise, it is determined that the solid oxide fuel cell stack does not have a leakage fault.
[0029] Optionally, after the diagnosis module, further includes:
[0030] Generate a leakage fault reminder based on the leakage fault diagnosis result;
[0031] Perform an acoustic alarm reminder and / or an optical alarm reminder based on the leakage fault reminder.
[0032] Optionally, the theoretical heat release power is:
[0033]
[0034] wherein, I is the current of the solid oxide fuel cell stack, ΔH is the enthalpy change of the chemical reaction at the operating temperature, n is the number of electrons released by the complete oxidation of a single molecule of fuel, F is the Faraday constant, N stack is the number of cell sheets of the solid oxide fuel cell stack, and V is the current voltage of the solid oxide fuel cell stack.
[0035] Optionally, the actual heat release power is:
[0036]
[0037] wherein, C h is the heat capacity of the hot box, C stack is the heat capacity of the stack, T h is the average temperature of the hot box and the stack, and P his the electric heating power, K hr is the equivalent thermal conductance between the hot box and the environment, T r is the operating environment temperature of the fuel cell stack is the equivalent thermal conductance between the fuel cell stack and the fuel electrode gas is the inlet temperature of the fuel electrode is the equivalent thermal conductance between the fuel cell stack and the oxygen electrode gas is the inlet temperature of the oxygen electrode
[0038] An embodiment of the third aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are configured to execute a method for online leakage fault diagnosis of a solid oxide fuel cell stack as described in the above embodiment.
[0039] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, and the program is executed by a processor to implement a method for online leakage fault diagnosis of a solid oxide fuel cell stack as described in the above embodiment.
[0040] An embodiment of the fifth aspect of the present application provides a computer program product, the computer program product stores a computer program, and when the program is executed by a processor, it implements a method for online leakage fault diagnosis of a solid oxide fuel cell stack as described in the above embodiment.
[0041] Thus, after obtaining the current voltage, current current, current temperature and current hot box temperature of the solid oxide fuel cell stack in the embodiments of the present application, the theoretical heat release power of the solid oxide fuel cell stack is obtained according to the current voltage and current current, the actual heat release power of the solid oxide fuel cell stack is calculated according to the current temperature and current hot box temperature, and then the leakage fault diagnosis result of the solid oxide fuel cell stack is obtained according to the theoretical heat release power and the actual heat release power. Thus, by obtaining the state of the solid oxide fuel cell stack, calculating and comparing the theoretical heat release power and the actual heat release power to diagnose the leakage fault, the problems of low detection efficiency and poor sensitivity of the leakage fault of the solid oxide fuel cell stack in the related art are solved, the calculation efficiency, sensitivity and accuracy are improved, and the stability is high.
[0042] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, wherein:
[0044] Figure 1 Flow chart of an on-line air leakage fault diagnosis method for a solid oxide fuel cell stack provided according to an embodiment of the present application;
[0045] Figure 2 Schematic diagram of the changes in the voltage, current and gas flow rate of a fuel cell stack during testing of an on-line air leakage fault diagnosis method for a solid oxide fuel cell stack provided according to an embodiment of the present application;
[0046] Figure 3 Schematic diagram of the fuel cell stack temperature measurement results and the actual heat balance analysis results of an on-line air leakage fault diagnosis method for a solid oxide fuel cell stack provided according to an embodiment of the present application;
[0047] Figure 4 Flow chart of an on-line air leakage fault diagnosis method for a solid oxide fuel cell stack provided according to an embodiment of the present application;
[0048] Figure 5 Schematic diagram of an on-line air leakage fault diagnosis device for a solid oxide fuel cell stack provided according to an embodiment of the present application;
[0049] Figure 6 Schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. Detailed implementation manners
[0050] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as a limitation to the present application.
[0051] A method for online leakage fault diagnosis of a solid oxide fuel cell stack according to an embodiment of the present application will be described below with reference to the accompanying drawings. Aiming at the problems of low detection efficiency and poor sensitivity of the leakage fault of the solid oxide fuel cell stack in the related art mentioned in the above background art, the present application provides a method for online leakage fault diagnosis of a solid oxide fuel cell stack. In this method, after obtaining the current voltage, current, current temperature and current hot box temperature of the solid oxide fuel cell stack, the theoretical heat release power of the solid oxide fuel cell stack is obtained according to the current voltage and current, and the actual heat release power of the solid oxide fuel cell stack is calculated according to the current temperature and current hot box temperature, and then the leakage fault diagnosis result of the solid oxide fuel cell stack is obtained according to the theoretical heat release power and the actual heat release power. Thus, by obtaining the state of the solid oxide fuel cell stack, calculating and comparing the theoretical heat release power and the actual heat release power to diagnose the leakage fault, the problems of low detection efficiency and poor sensitivity of the leakage fault of the solid oxide fuel cell stack in the related art are solved, the calculation efficiency, sensitivity and accuracy are improved, and the stability is relatively high.
[0052] Specifically, Figure 1 FIG. is a schematic flow chart of a method for online leakage fault diagnosis of a solid oxide fuel cell stack provided by an embodiment of the present application.
[0053] As Figure 1 shown, the method for online leakage fault diagnosis of a solid oxide fuel cell stack includes the following steps:
[0054] In step S101, the current voltage, current, current temperature and current hot box temperature of the solid oxide fuel cell stack are obtained.
[0055] Among them, the hot box temperature refers to the temperature in the thermal management environment (hot box) where the solid oxide fuel cell stack is located. The role of the hot box is to provide a stable high-temperature environment for the fuel cell stack.
[0056] Specifically, as Figure 2 shown, Figure 2 (a) is a schematic diagram of the voltage and current changes of the fuel cell stack during the test in an embodiment of the present application. Figure 2(b) Schematic diagram of the gas flow change of the fuel cell stack during the test of an embodiment of the present application; the stack current and voltage data are obtained through a DC electronic load; temperature sensors (such as thermocouples, RTD - Resistance Temperature Detector) are installed at key positions of the stack to monitor the operating temperatures of different parts inside the stack. Since the operating temperature of the solid oxide fuel cell stack is relatively high, the selected temperature sensors should be able to withstand high - temperature environments and have good stability and response speed; this is achieved by arranging additional temperature sensors inside and outside the thermal box to evaluate the heat exchange of the entire system. In practical applications, data acquisition cards, programmable logic controllers, or other industrial automation components may also be involved to monitor these parameters in real - time and record them for subsequent analysis; to ensure the validity of the measurement results, attention should be paid to avoiding electromagnetic interference and other factors that may affect the measurement accuracy when installing sensors.
[0057] In step S102, the theoretical heat release power of the solid oxide fuel cell stack is obtained based on the current voltage and current, and the actual heat release power of the solid oxide fuel cell stack is calculated according to the current temperature and the current thermal box temperature.
[0058] Optionally, in some embodiments, the theoretical heat release power is:
[0059]
[0060] where I is the current current of the solid oxide fuel cell stack, ΔH is the enthalpy change of the chemical reaction at the operating temperature, n is the number of electrons released by the complete oxidation of a single - molecule fuel, F is the Faraday constant, N stack is the number of cell plates of the solid oxide fuel cell stack, and V is the current voltage of the solid oxide fuel cell stack.
[0061] Optionally, in some embodiments, the actual heat release power is:
[0062]
[0063] where C h is the heat capacity of the thermal box, C stack is the heat capacity of the stack, T h is the average temperature of the thermal box and the stack, P h is the electric heating power, K hr is the equivalent heat conductance between the thermal box and the environment, T r is the operating environment temperature of the stack, is the equivalent heat conductance between the stack and the fuel electrode gas, is the inlet temperature of the fuel electrode gas, is the equivalent heat conductance between the stack and the oxygen electrode gas, is the inlet temperature of the oxygen electrode gas.
[0064] Among them, the theoretical heat release power refers to the expected heat release calculated based on the working voltage, current, and relevant thermodynamic principles of a solid oxide fuel cell stack under ideal conditions. It is obtained based on the energy conversion occurring during the electrochemical reaction process and reflects the heat that the stack should release without the influence of additional heat losses or other non-ideal factors. The actual heat release power refers to the heat actually released by a solid oxide fuel cell stack under real operating conditions, taking into account various actual factors such as heat losses, material properties, and environmental conditions.
[0065] It can be understood that as Figure 3 shown, Figure 3 (a) is a schematic diagram of the temperature measurement results of a fuel cell stack according to an embodiment of the present application, Figure 3 (b) is a schematic diagram of the actual heat balance analysis results of a fuel cell stack according to an embodiment of the present application; the theoretical heat release power provides basic data for the design and optimization of the thermal management system; the actual heat release power reflects the thermal energy output of the stack during actual operation, which helps to timely detect and solve problems in thermal management; by comparing the theoretical heat release power and the actual heat release power, the air leakage situation of the stack can be evaluated, and based on this, it can be determined whether maintenance of the stack and the system is required to improve the reliability of the stack and the system.
[0066] In step S103, a leakage fault diagnosis result of the solid oxide fuel cell stack is obtained based on the theoretical heat release power and the actual heat release power.
[0067] Optionally, in some embodiments, obtaining a leakage fault diagnosis result of the solid oxide fuel cell stack based on the theoretical heat release power and the actual heat release power includes: calculating the difference between the theoretical heat release power and the actual heat release power of the stack; if the absolute value of the difference is greater than a preset threshold, it is determined that the solid oxide fuel cell stack has a leakage fault, otherwise, it is determined that the solid oxide fuel cell stack does not have a leakage fault.
[0068] Among them, the preset threshold can be a threshold preset by the user, a threshold obtained through a finite number of experiments, or a threshold obtained through a finite number of computer simulations, and no specific limitation is made here.
[0069] It can be understood that in some cases, changes in external environmental conditions (such as temperature, humidity, etc.) may also affect the actual heat release power. Therefore, the influence of environmental factors should be considered when setting the preset threshold; to maintain the accuracy of the diagnosis result, the preset threshold can be regularly reviewed and adjusted according to the actual situation, and the performance changes of the stack can be continuously monitored; through this method, the difference between the theoretical heat release power and the actual heat release power can be effectively utilized to diagnose whether a leakage fault has occurred in the solid oxide fuel cell stack, so as to timely take necessary maintenance measures to ensure the safe and stable operation of the system.
[0070] Optionally, in some embodiments, after determining that there is a leakage fault in the solid oxide fuel cell stack, it further includes: generating a leakage fault reminder based on the leakage fault diagnosis result; performing an acoustic alarm reminder and / or an optical alarm reminder based on the leakage fault reminder.
[0071] It can be understood that the leakage fault reminder generated in the embodiments of the present application may include the time and date of the fault occurrence, the specific fault type (such as "stack leakage"), the current operating parameters (such as voltage, current, temperature, etc.), the possible cause analysis or the recommended preliminary inspection steps, the information of the emergency contact person or the maintenance team; saving the leakage fault reminder to the log file of the system for subsequent review and analysis. Based on the leakage fault reminder, the acoustic alarm should be designed to be loud enough, which can be continuous or intermittent, to continuously remind the personnel to pay attention and ensure that it will not be ignored, but also avoid causing unnecessary panic; the acoustic alarm should allow the user to adjust the alarm volume as needed to adapt to different working environments and hearing needs; the optical alarm device can adopt a red warning light or other visual signals, or convey different levels of emergency situations by changing the color or blinking mode; in some cases, in addition to the alarm reminder, the system can also start an automatic protection mechanism, such as reducing the stack load, closing the fuel supply, starting an emergency cooling program, etc., to prevent the fault from deteriorating further; updating the status indication on the control panel or the monitoring software so that the operator can clearly see the current problem at a glance, and the graphical interface can help quickly understand the location and severity of the fault.
[0072] To facilitate those skilled in the art to further understand the online leakage fault diagnosis method of the solid oxide fuel cell stack in the embodiments of the present application, the following will elaborate in detail in combination with the embodiments of the online leakage fault diagnosis method of the solid oxide fuel cell stack.
[0073] Specifically, as Figure 4 shown, Figure 4 is a flowchart of an online leakage fault diagnosis method for a solid oxide fuel cell stack provided by an embodiment of the present application. The diagnosis method involved in the online leakage fault diagnosis method for the solid oxide fuel cell stack includes the following steps:
[0074] S401: Monitor the voltage and current of the stack to obtain the basic operating parameters of the stack.
[0075] S402: Calculate the theoretical heat release power of the stack according to the monitored voltage and current data.
[0076] S403: Monitor the temperatures of the stack and the hot box.
[0077] S404: Calculate the actual heat release power of the stack according to the monitored temperature data.
[0078] S405: Compare the calculated theoretical heat release power with the actual heat release power.
[0079] S406: If the difference between the theoretical heat release power and the actual heat release power is greater than the preset threshold, it is determined that there is a gas leakage fault in the stack.
[0080] S407: If the difference between the theoretical heat release power and the actual heat release power is less than the preset threshold, it is determined that there is no gas leakage fault in the stack.
[0081] Therefore, the embodiment of the present application has high calculation efficiency and can realize real-time fault diagnosis; considering the heat balance mechanism of the Solid Oxide Fuel Cell (SOFC) and the Solid Oxide Electrolysis Cell (SOEC), the calculation equation is condensed, the temperature and parameters such as current and voltage can be measured in real time, and the required equation calculation is simple. The embodiment of the present application can realize quantitative calculation and has high diagnostic result accuracy; it is proposed based on the analysis of the stack heat balance mechanism, and can accurately quantitatively calculate the theoretical heat release and actual heat release power of the stack, so that the diagnostic accuracy is relatively high. The embodiment of the present application has high sensitivity and can be used for early gas leakage diagnosis; the abnormal heat release amount of the stack can be quantitatively calculated, and it can be accurately identified when the abnormal heat release amount is small in the early stage of gas leakage, and has high stability. The embodiment of the present application requires fewer physical quantities to be measured and the measurement method is relatively simple, so problems such as equipment failure are not likely to occur.
[0082] According to an online gas leakage fault diagnosis method for a solid oxide fuel cell stack proposed by an embodiment of the present application, after obtaining the current voltage, current, current temperature and current hot box temperature of the solid oxide fuel cell stack, the theoretical heat release power of the solid oxide fuel cell stack is obtained according to the current voltage and current, the actual heat release power of the solid oxide fuel cell stack is calculated according to the current temperature and current hot box temperature, and then the gas leakage fault diagnosis result of the solid oxide fuel cell stack is obtained according to the theoretical heat release power and the actual heat release power. Therefore, by obtaining the state of the solid oxide fuel cell stack, calculating and comparing the theoretical heat release power and the actual heat release power to diagnose the gas leakage fault, the problems of low detection efficiency and poor sensitivity of the gas leakage fault of the solid oxide fuel cell stack in the related technology are solved, and the calculation efficiency, sensitivity and accuracy are improved, and it has high stability.
[0083] Next, a description is given of an online gas leakage fault diagnosis device for a solid oxide fuel cell stack according to an embodiment of the present application with reference to the accompanying drawings.
[0084] Figure 5 It is a block diagram of an on-line air leakage fault diagnosis device for a solid oxide fuel cell stack according to an embodiment of the present application.
[0085] As Figure 5 shown, the on-line air leakage fault diagnosis device 10 for a solid oxide fuel cell stack includes: an acquisition module 100, a calculation module 200, and a diagnosis module 300.
[0086] Among them, the acquisition module 100 is used to acquire the current voltage, current current, current temperature, and current hot box temperature of the solid oxide fuel cell stack; the calculation module 200 is used to obtain the theoretical heat release power of the solid oxide fuel cell stack according to the current voltage and current current, and calculate the actual heat release power of the solid oxide fuel cell stack according to the current temperature and current hot box temperature; the diagnosis module 300 is used to obtain the air leakage fault diagnosis result of the solid oxide fuel cell stack according to the theoretical heat release power and the actual heat release power.
[0087] Optionally, the diagnosis module 300 includes: calculating the difference between the theoretical heat release power and the actual heat release power of the fuel cell stack; if the absolute value of the difference is greater than a preset threshold, it is determined that the solid oxide fuel cell stack has an air leakage fault, otherwise, it is determined that the solid oxide fuel cell stack does not have an air leakage fault.
[0088] Optionally, after the diagnosis module 300, it further includes: generating an air leakage fault reminder based on the air leakage fault diagnosis result; performing an acoustic alarm reminder and / or an optical alarm reminder based on the air leakage fault reminder.
[0089] Optionally, the theoretical heat release power is:
[0090]
[0091] Among them, I is the current current of the solid oxide fuel cell stack, ΔH is the enthalpy change of the chemical reaction at the operating temperature, n is the number of electrons released by the complete oxidation of a single molecule of fuel, F is the Faraday constant, N stack is the number of cell sheets of the solid oxide fuel cell stack, and V is the current voltage of the solid oxide fuel cell stack.
[0092] Optionally, the actual heat release power is:
[0093]
[0094] Among them, C h is the heat capacity of the hot box, C stack is the heat capacity of the fuel cell stack, T h is the average temperature of the hot box and the fuel cell stack, P h is the electric heating power, K hr is the equivalent heat conductance between the hot box and the environment, Tr is the operating environment temperature of the stack, is the equivalent thermal conductivity between the stack and the fuel electrode gas, is the inlet temperature of the fuel electrode, is the equivalent thermal conductivity between the stack and the oxygen electrode gas, is the inlet temperature of the oxygen electrode.
[0095] It should be noted that the foregoing explanation of the embodiment of the method for online leakage fault diagnosis of a solid oxide fuel cell stack is also applicable to an online leakage fault diagnosis device for a solid oxide fuel cell stack in this embodiment, and will not be elaborated here.
[0096] An online leakage fault diagnosis device for a solid oxide fuel cell stack according to an embodiment of the present application. After obtaining the current voltage, current, current temperature, and current hot box temperature of the solid oxide fuel cell stack, the theoretical heat release power of the solid oxide fuel cell stack is obtained according to the current voltage and current, the actual heat release power of the solid oxide fuel cell stack is calculated according to the current temperature and current hot box temperature, and then the leakage fault diagnosis result of the solid oxide fuel cell stack is obtained according to the theoretical heat release power and the actual heat release power. Thus, by obtaining the state of the solid oxide fuel cell stack, calculating and comparing the theoretical heat release power and the actual heat release power to diagnose the leakage fault, the problems of low detection efficiency and poor sensitivity of the leakage fault of the solid oxide fuel cell stack in the related art are solved, the calculation efficiency, sensitivity, and accuracy are improved, and it has high stability.
[0097] Figure 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device may include:
[0098] A memory 601, a processor 602, and a computer program stored on the memory 601 and executable on the processor 602.
[0099] When the processor 602 executes the program, it implements an online leakage fault diagnosis method for a solid oxide fuel cell stack provided in the above embodiment.
[0100] Further, the electronic device further includes:
[0101] A communication interface 603 for communication between the memory 601 and the processor 602.
[0102] The memory 601 is used to store a computer program executable on the processor 602.
[0103] The memory 601 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.
[0104] If the memory 601, the processor 602, and the communication interface 603 are implemented independently, the communication interface 603, the memory 601, and the processor 602 can be interconnected through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, Figure 6 only a thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.
[0105] Optionally, in specific implementation, if the memory 601, the processor 602, and the communication interface 603 are integrated on a single chip, the memory 601, the processor 602, and the communication interface 603 can communicate with each other through an internal interface.
[0106] The processor 602 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.
[0107] The embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, characterized in that when the program is executed by a processor, the online leakage fault diagnosis method of the solid oxide fuel cell stack as described above is implemented.
[0108] The embodiments of the present application also provide a computer program product. The computer program product stores a computer program, and when the program is executed by a processor, the online leakage fault diagnosis method of the solid oxide fuel cell stack as described above is implemented.
[0109] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.
[0110] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0111] Any process or method description in a flowchart or described in other ways herein can be understood to represent a module, segment, or part of code including one or more N executable instructions for implementing a customized logic function or process, and the scope of the preferred embodiments of this application includes additional implementations, where the functions can be executed in a manner that is not in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved, which should be understood by those skilled in the art to which the embodiments of this application pertain.
[0112] It should be understood that each part of this application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logic functions on data signals, application specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.
[0113] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.
Claims
1. A method for online gas leakage fault diagnosis of a solid oxide fuel cell stack, characterized in that: The following steps are involved: Obtaining the current voltage, current, temperature and hot box temperature of the solid oxide fuel cell stack; Obtaining the theoretical heat release power of the solid oxide fuel cell stack according to the current voltage and the current current, and calculating the actual heat release power of the solid oxide fuel cell stack according to the current temperature and the current hot box temperature; The leakage fault diagnosis result of the solid oxide fuel cell stack is obtained according to the theoretical heat release power and the actual heat release power.
2. The method according to claim 1, characterized in that: The method of obtaining a gas leakage fault diagnosis result of the solid oxide fuel cell stack according to the theoretical heat release power and the actual heat release power includes: Calculating the difference between the theoretical heat release power and the actual heat release power of the fuel cell stack; If the absolute value of the difference is greater than a preset threshold, it is determined that the solid oxide fuel cell stack has a gas leakage fault; otherwise, it is determined that the solid oxide fuel cell stack does not have a gas leakage fault.
3. The method according to claim 2, characterized in that After determining that the solid oxide fuel cell stack has a gas leakage fault, the method further includes: Based on the air leakage fault diagnosis result, generating an air leakage fault reminder; Based on the air leakage fault reminder, an acoustic alarm reminder and / or an optical alarm reminder is performed.
4. The method according to claim 1, characterized in that: The theoretical heat release power is: Wherein, I is the current current of the solid oxide fuel cell stack, ΔH is the enthalpy change of the chemical reaction at the operating temperature, n is the number of electrons released by the complete oxidation of a single molecule of fuel, F is the Faraday constant, and N stack is the number of cells in the solid oxide fuel cell stack, and V is the current voltage of the solid oxide fuel cell stack.
5. The method according to claim 1, characterized in that The actual heat release power is: Among them, C h is the heat capacity of the hot box, C stack is the stack heat capacity, T h is the average temperature of the hot box and the stack, P h is the electric heating power, K hr is the equivalent thermal conductivity between the heat box and the environment, T r is the operating environment temperature of the battery stack, is the equivalent thermal conductivity between the stack and the fuel electrode gas, is the fuel electrode inlet temperature, is the equivalent thermal conductivity between the stack and the oxygen electrode gas, is the oxygen electrode inlet temperature.
6. A solid oxide fuel cell stack online leakage fault diagnosis device, characterized in that: include: An acquisition module is used to acquire the current voltage, current current, temperature and hot box temperature of the solid oxide fuel cell stack; a calculation module, configured to obtain a theoretical heat release power of the solid oxide fuel cell stack according to the current voltage and the current current, and to calculate an actual heat release power of the solid oxide fuel cell stack according to the current temperature and the current hot box temperature; A diagnosis module is used to obtain a leakage fault diagnosis result of the solid oxide fuel cell stack according to the theoretical heat release power and the actual heat release power.
7. The device according to claim 6, characterized in that The diagnostic module comprises: Calculating the difference between the theoretical heat release power and the actual heat release power of the fuel cell stack; If the absolute value of the difference is greater than a preset threshold, it is determined that the solid oxide fuel cell stack has a gas leakage fault; otherwise, it is determined that the solid oxide fuel cell stack does not have a gas leakage fault.
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 executes the program to implement the method for online gas leakage fault diagnosis of a solid oxide fuel cell stack as described in any one of claims 1 to 5.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the solid oxide fuel cell stack online gas leakage fault diagnosis method as described in any one of claims 1 to 5.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for online gas leakage fault diagnosis of a solid oxide fuel cell stack as described in any one of claims 1 to 5 is implemented.