A fuel cell multi-module hybrid power source power control method and system

Abstract

This invention relates to the field of fuel cell technology, and more specifically, to a method and system for controlling the power of a multi-module composite power source in a fuel cell. The scheme includes: online setting of a fuel cell sensor information database and corresponding key constraint parameters; determining mandatory and conditional constraints based on the control parameters of the key constraint parameters before instability; forming a standard constraint set and a non-standard constraint set; performing adaptive control in real time based on the current control objective of the composite power source combined with the standard and non-standard constraint sets; controlling the operating constraint range of each control variable in real time according to the range of the standard constraint set; and automatically updating the standard and non-standard constraint sets for adaptive control when the control objective failure rate reaches 5% for more than 5 minutes. This scheme achieves optimal energy and stable control by extracting various information quantities such as stack temperature, air flow rate, and air pressure online for multi-module composite control.

Description

Technical Field

[0001] This invention relates to the field of fuel cell technology, and more specifically, to a method and system for controlling the power of a multi-module composite power source in a fuel cell. Background Technology

[0002] With continuous investment in research in the field of hydrogen fuel cells, the technology is constantly advancing. Fuel cell power systems convert chemical energy into electrical energy through the catalytic oxidation reaction of hydrogen and oxygen. This allows them to serve as a power source, producing pollution-free water, representing the ultimate solution for clean power generation. New energy power generation technology using hydrogen as fuel is clean and efficient. Furthermore, the fuel cell power generation process is extremely quiet, producing no black smoke or irritating odors. The vehicle's exhaust pipe only emits clean air and water, and the discharged water is directly drinkable. Compared to traditional diesel-powered vehicles, it offers numerous advantages such as quietness, cleanliness, and environmental friendliness; compared to lithium-ion battery-powered vehicles, it boasts advantages such as longer power supply time, shorter emergency response time, and longer storage capacity.

[0003] Prior to this invention, fuel cells included modules such as a stack, a water pump, and a radiator. By collecting temperature information from the stack, PID-based control of the water pump and radiator was performed to achieve stable control and ensure stable operation of the fuel cell. However, with multiple modules present during fuel cell operation, achieving stable control of the load modules is an extremely difficult problem, and there may be situations where it is impossible to reach an optimal control parameter. Summary of the Invention

[0004] In view of the above problems, this invention proposes a multi-module composite power control method and system for fuel cells. By extracting various information such as stack temperature, air flow rate, and air pressure online, multi-module composite control is performed to achieve optimal energy and stable control.

[0005] According to a first aspect of the present invention, a method for controlling the power of a multi-module composite power source in a fuel cell is provided.

[0006] In one or more embodiments, preferably, the fuel cell multi-module composite power control method includes:

[0007] Configure the fuel cell sensor information database and corresponding key constraint parameters online;

[0008] Based on the control parameters of the key constraint parameters before instability, determine the mandatory constraints and conditional constraints;

[0009] Based on the aforementioned mandatory constraints and conditional constraints, a set of standard constraints and a set of non-standard constraints are formed;

[0010] Real-time adaptive control is performed based on the control objective of the current composite power supply, combined with standard and non-standard constraint sets.

[0011] Based on the range of the standard constraint set, the operating constraint range of each control quantity is controlled in real time.

[0012] When the failure rate of the control target reaches 5% for more than 5 minutes, the standard constraint set and non-standard constraint set are automatically updated for adaptive control.

[0013] In one or more embodiments, preferably, the online setting of the fuel cell sensor information database and corresponding key constraint parameters specifically includes:

[0014] Set up and initialize a fuel cell sensor information database online.

[0015] The fuel cell sensor database includes sensors for humidifier, intercooler, stack cooler, stack electrode temperature, and throttle inlet pressure.

[0016] The hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are used as key constraint parameters.

[0017] In one or more embodiments, preferably, determining mandatory constraints and conditional constraints based on the control parameters of the key constraint parameters before instability specifically includes:

[0018] Obtain the control parameters of the key constraint parameters before instability;

[0019] The mandatory constraints are set, which correspond to the range of control parameter changes that will definitely occur before instability occurs. Specifically, these include the range of changes in hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature.

[0020] Conditional constraints are set, which correspond to the range of control parameter changes before instability occurs with a certain probability. The certain probability is greater than 0, specifically including the corresponding range of changes in hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature.

[0021] In one or more embodiments, preferably, the step of forming a standard constraint set and a non-standard constraint set based on the mandatory constraints and conditional constraints specifically includes:

[0022] The hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are analyzed online as seven online analysis data sets. If all seven online analysis data sets do not exceed the mandatory constraints and there are seven online analysis data sets that fall within the range of conditional constraints, then the initialization analysis is initiated.

[0023] After initiating the initial analysis, the hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature in the 7 online analysis data groups were numbered as 1, 2, 3, 4, 5, 6 and 7 respectively.

[0024] Select three data sets from 1, 2, 3, 4, 5, 6 and 7 consecutively without repetition as the standard constraint set;

[0025] The remaining four sets of data are treated as non-standard sets.

[0026] In one or more embodiments, preferably, the real-time adaptive control based on the control objective of the current composite power supply combined with a set of standard constraints and a set of non-standard constraints specifically includes:

[0027] Obtain the output target of the fuel cell in the current control objective of the combined power source;

[0028] Select the corresponding hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature according to the output target;

[0029] When adjusting the given control of a non-standard set, the constraints set for the corresponding three data groups do not include conditional constraints;

[0030] When giving control to a standard set, set constraints for the corresponding four data groups, including conditional constraints.

[0031] In one or more embodiments, preferably, the step of controlling the operating constraint range of each control quantity in real time according to the range of the standard constraint set specifically includes:

[0032] Priority is determined by the order of the numbers in each set of standard constraints, from front to back.

[0033] Adjust the control parameters corresponding to the standard constraint set from highest to lowest priority.

[0034] The control quantity corresponding to each number in the standard constraint set, and the control limit is the constraint range corresponding to the conditional constraint.

[0035] In one or more embodiments, preferably, when the failure rate of the control target reaches 5% for more than 5 minutes, automatically updating the standard constraint set and non-standard constraint set for adaptive control specifically includes:

[0036] When the failure rate of the control target of the composite power supply reaches 5% for more than 5 minutes, the standard constraint set and the non-standard constraint set are automatically re-selected randomly.

[0037] After obtaining the set of standard constraints and the set of non-standard constraints, new optimal control is automatically performed until the control target of the composite power supply operates at a long-term control target compliance rate of 95% or above.

[0038] According to a second aspect of the present invention, a fuel cell multi-module composite power control system is provided.

[0039] In one or more embodiments, preferably, the fuel cell multi-module composite power control system includes:

[0040] The data acquisition database module is used to set the fuel cell sensor data database and corresponding key constraint parameters online;

[0041] The stability constraint analysis module is used to determine mandatory constraints and conditional constraints based on the control parameters of the key constraint parameters before instability.

[0042] An adaptive adjustment initialization module is used to form a set of standard constraints and a set of non-standard constraints based on the mandatory constraints and conditional constraints.

[0043] The load power control module is used to perform adaptive control in real time based on the control objectives of the current composite power supply, combined with standard and non-standard constraint sets.

[0044] The condition constraint module is used to control the operating constraint range of each control quantity in real time according to the range of the standard constraint set;

[0045] The constraint update module is used to automatically update the standard constraint set and non-standard constraint set for adaptive control when the failure rate of the control target reaches 5% for more than 5 minutes.

[0046] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0047] According to a fourth aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method described in any one aspect of the present invention.

[0048] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0049] In this invention, all abnormal constraint ranges that may cause stability risks are analyzed online, and then online multi-module control is performed based on the abnormal constraint range to ensure the stability of the fuel cell.

[0050] In this invention, three different control modes are set during online control, and adaptive adjustments are made according to the control modes to achieve stable control of multi-module load.

[0051] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0052] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0054] Figure 1 This is a flowchart of a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0055] Figure 2 This is a flowchart illustrating the online setting of the fuel cell sensor information database and corresponding key constraint parameters in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0056] Figure 3 This is a flowchart illustrating the determination of mandatory and conditional constraints based on the control parameters before instability, according to the key constraint parameters, in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0057] Figure 4This is a flowchart illustrating the process of forming a standard constraint set and a non-standard constraint set based on the mandatory constraints and conditional constraints in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0058] Figure 5 This is a flowchart illustrating the real-time adaptive control of a fuel cell multi-module composite power supply power control method according to an embodiment of the present invention, which combines the current control objective of the composite power supply with a set of standard constraints and a set of non-standard constraints.

[0059] Figure 6 This is a flowchart illustrating the real-time control of the operating constraint range of each control quantity based on the range of the standard constraint set in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0060] Figure 7 This is a flowchart illustrating an embodiment of a fuel cell multi-module composite power control method of the present invention, in which when the failure rate of the control target reaches 5% for more than 5 minutes, the standard constraint set and the non-standard constraint set are automatically updated for adaptive control.

[0061] Figure 8 This is a structural diagram of a fuel cell multi-module composite power control system according to an embodiment of the present invention.

[0062] Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Detailed Implementation

[0063] In some of the processes described in the specification, claims, and accompanying drawings of this invention, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0064] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0065] With continuous investment in research in the field of hydrogen fuel cells, the technology is constantly advancing. Fuel cell power systems convert chemical energy into electrical energy through the catalytic oxidation reaction of hydrogen and oxygen. This allows them to serve as a power source, producing pollution-free water, representing the ultimate solution for clean power generation. New energy power generation technology using hydrogen as fuel is clean and efficient. Furthermore, the fuel cell power generation process is extremely quiet, producing no black smoke or irritating odors. The vehicle's exhaust pipe only emits clean air and water, and the discharged water is directly drinkable. Compared to traditional diesel-powered vehicles, it offers numerous advantages such as quietness, cleanliness, and environmental friendliness; compared to lithium-ion battery-powered vehicles, it boasts advantages such as longer power supply time, shorter emergency response time, and longer storage capacity.

[0066] Prior to this invention, fuel cells included modules such as a stack, a water pump, and a radiator. By collecting temperature information from the stack, PID-based control of the water pump and radiator was performed to achieve stable control and ensure stable operation of the fuel cell. However, with multiple modules present during fuel cell operation, achieving stable control of the load modules is an extremely difficult problem, and there may be situations where it is impossible to reach an optimal control parameter.

[0067] This invention provides a method and system for controlling the power of a fuel cell multi-module composite power source. This solution extracts various information such as stack temperature, airflow, and air pressure online to perform multi-module composite control, achieving optimal energy and stable control.

[0068] According to a first aspect of the present invention, a method for controlling the power of a multi-module composite power source in a fuel cell is provided.

[0069] Figure 1 This is a flowchart of a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0070] In one or more embodiments, preferably, the fuel cell multi-module composite power control method includes:

[0071] S101. Configure the fuel cell sensor information database and corresponding key constraint parameters online;

[0072] S102. Based on the control parameters of the key constraint parameters before instability, determine the mandatory constraints and conditional constraints;

[0073] S103. Form a set of standard constraints and a set of non-standard constraints based on the mandatory constraints and conditional constraints;

[0074] S104. Real-time adaptive control is performed based on the control objective of the current composite power supply, combined with standard and non-standard constraint sets;

[0075] S105. Based on the range of the standard constraint set, control the operating constraint range of each control quantity in real time;

[0076] S106. When the failure rate of the control target reaches 5% for more than 5 minutes, the standard constraint set and the non-standard constraint set are automatically updated for adaptive control.

[0077] In this embodiment of the invention, a complete database of fuel cell sensor data acquisition is explicitly set, stability constraints are determined, and initialization is performed using an online cyclic adaptive adjustment method. Composite power control is performed by distinguishing between standard and non-standard sets. When the given control is given for the standard set, the priority of conditional constraints is clearly set, and the standard and non-standard constraint sets are automatically updated.

[0078] Figure 2 This is a flowchart illustrating the online setting of the fuel cell sensor information database and corresponding key constraint parameters in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0079] like Figure 2 As shown, in one or more embodiments, preferably, the online setting of the fuel cell sensor information database and corresponding key constraint parameters specifically includes:

[0080] S201. Set up a fuel cell sensor information database online and initialize it;

[0081] S202. The fuel cell sensor information database includes sensors for humidifier, intercooler, stack cooler, stack electrode temperature and throttle inlet pressure.

[0082] S203. The hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are taken as key constraint parameters.

[0083] In this embodiment of the invention, an online fuel cell sensor information database is set up. The fuel cell sensor information database specifically includes the humidifier, intercooler, stack cooler, stack electrode temperature, and throttle inlet pressure. In order to stabilize the entire control process, the hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are used as key constraint parameters. The key constraint parameters can also be expanded.

[0084] Figure 3 This is a flowchart illustrating the determination of mandatory and conditional constraints based on the control parameters before instability, according to the key constraint parameters, in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0085] like Figure 3 As shown, in one or more embodiments, preferably, determining the mandatory constraints and conditional constraints based on the control parameters of the key constraint parameters before instability specifically includes:

[0086] S301. Obtain the control parameters of the key constraint parameters before instability;

[0087] S302. Set mandatory constraints, which correspond to the range of control parameter changes that will definitely occur before instability occurs. Specifically, these constraints include the corresponding range of changes for hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature.

[0088] S303. Set conditional constraints, which correspond to the range of control parameter changes before instability occurs with a certain probability. The certain probability is greater than 0, specifically including the corresponding range of changes of hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature.

[0089] In this embodiment of the invention, the stability constraint judgment process includes two parts. The first part is mandatory constraint, which sets mandatory constraint conditions for hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature throughout the entire control process. The operating control parameters cannot exceed the constraint range. If they are exceeded, a failure is likely to occur. The second part is conditional constraint, which is the range in which key constraint parameters can change, that is, anomalies exist within these ranges.

[0090] Figure 4 This is a flowchart illustrating the process of forming a standard constraint set and a non-standard constraint set based on the mandatory constraints and conditional constraints in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0091] like Figure 4 As shown, in one or more embodiments, preferably, the step of forming a standard constraint set and a non-standard constraint set based on the mandatory constraints and conditional constraints specifically includes:

[0092] S401. Analyze the hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature online as 7 online analysis data groups. If it is determined that none of the 7 online analysis data groups exceed the mandatory constraints, and if any of the 7 online analysis data groups fall within the range of conditional constraints, then the initialization analysis is initiated.

[0093] S402. After starting the initialization analysis, number the hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature in the 7 online analysis data groups, corresponding to 1, 2, 3, 4, 5, 6 and 7 respectively.

[0094] S403. Select three data sets from 1, 2, 3, 4, 5, 6 and 7 consecutively without repetition, as the standard constraint set;

[0095] S404. Treat the remaining four sets of data as non-standard sets.

[0096] In this embodiment of the invention, firstly, the parameters such as hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are analyzed online to ensure they do not exceed mandatory constraints; the hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are numbered sequentially as 1, 2, 3, 4, 5, 6, and 7; three data points from 1 to 7 are selected consecutively without repetition, for example, 3, 5, and 2 are selected as the standard constraint set, and the remaining 1, 4, 6, and 7 are selected as the non-standard set.

[0097] Figure 5 This is a flowchart illustrating the real-time adaptive control of a fuel cell multi-module composite power supply power control method according to an embodiment of the present invention, which combines the current control objective of the composite power supply with a set of standard constraints and a set of non-standard constraints.

[0098] like Figure 5 As shown, in one or more embodiments, preferably, the real-time adaptive control based on the control objective of the current composite power supply combined with a set of standard constraints and a set of non-standard constraints specifically includes:

[0099] S501, Obtain the output target of the fuel cell in the current control target of the composite power source;

[0100] S502. Select the corresponding hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature according to the output target.

[0101] S503. When adjusting the given control of a non-standard set, the constraints set for the corresponding three data groups do not include conditional constraints.

[0102] S504. When giving control to a standard set, set constraints for the corresponding four data groups, including conditional constraints.

[0103] In this embodiment of the invention, the current control target of the composite power source is the output target of the fuel cell. Based on the output target, the corresponding hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are selected. When adjusting the given control of a non-standard set, the set constraint conditions do not include conditional constraints. When the given control of a standard set is applied, the set constraint conditions include conditional constraints.

[0104] Figure 6 This is a flowchart illustrating the real-time control of the operating constraint range of each control quantity based on the range of the standard constraint set in a fuel cell multi-module composite power control method according to an embodiment of the present invention.

[0105] like Figure 6 As shown, in one or more embodiments, preferably, the step of controlling the operating constraint range of each control quantity in real time according to the range of the standard constraint set specifically includes:

[0106] S601. Prioritize the items according to the order of their numbers in the standard constraint set from front to back.

[0107] S602. Adjust the control parameters corresponding to the standard constraint set from highest to lowest priority.

[0108] S603. The control quantity corresponding to each number in the standard constraint set, and the control limit is the constraint range corresponding to the conditional constraint.

[0109] In this embodiment of the invention, the control quantity corresponding to each number in the standard constraint set is adjusted from high to low priority according to the order of the numbers from front to back; in extreme cases, the control quantity corresponding to each number in the standard constraint set operates within the conditional constraint range.

[0110] Figure 7 This is a flowchart illustrating an embodiment of a fuel cell multi-module composite power control method of the present invention, in which when the failure rate of the control target reaches 5% for more than 5 minutes, the standard constraint set and the non-standard constraint set are automatically updated for adaptive control.

[0111] like Figure 7 As shown, in one or more embodiments, preferably, when the failure rate of the control target reaches 5% for more than 5 minutes, automatically updating the standard constraint set and non-standard constraint set for adaptive control specifically includes:

[0112] S701. When the failure rate of the control target of the composite power supply reaches 5% for more than 5 minutes, the standard constraint set and the non-standard constraint set are automatically re-selected randomly.

[0113] S702. After obtaining the standard constraint set and non-standard constraint set, automatically perform new optimal control until the control target of the composite power supply operates at a long-term control target compliance rate of 95% or above.

[0114] In this embodiment of the invention, when the failure rate of the control target of the composite power supply reaches 5% for more than 5 minutes, a new random screening is automatically performed, so that the final control process can be fully optimized automatically, and can be adjusted and updated.

[0115] According to a second aspect of the present invention, a fuel cell multi-module composite power control system is provided.

[0116] Figure 8 This is a structural diagram of a fuel cell multi-module composite power control system according to an embodiment of the present invention.

[0117] In one or more embodiments, preferably, the fuel cell multi-module composite power control system includes:

[0118] The information acquisition module 801 is used to set the fuel cell sensor information database and corresponding key constraint parameters online.

[0119] The stability constraint analysis module 802 is used to determine mandatory constraints and conditional constraints based on the control parameters of the key constraint parameters before instability.

[0120] The adaptive adjustment initialization module 803 is used to form a standard constraint set and a non-standard constraint set based on the mandatory constraints and conditional constraints;

[0121] The load power control module 804 is used to perform adaptive control in real time based on the control objectives of the current composite power supply, combined with standard and non-standard constraint sets.

[0122] The condition constraint module 805 is used to control the operating constraint range of each control quantity in real time according to the range of the standard constraint set;

[0123] The constraint update module 806 is used to automatically update the standard constraint set and non-standard constraint set for adaptive control when the failure rate of the control target reaches 5% for more than 5 minutes.

[0124] In this embodiment of the invention, a system suitable for different structures is realized through a series of modular designs. This system can achieve closed-loop, reliable, and efficient execution through data acquisition, analysis, and control.

[0125] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0126] According to a fourth aspect of the present invention, an electronic device is provided. Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Figure 9 The electronic device shown is a general-purpose fuel cell multi-module composite power control device. This electronic device can be a smartphone, tablet, or other similar device. As shown, the electronic device 900 includes a processor 901 and a memory 902. The processor 901 and memory 902 are electrically connected. The processor 901 is the control center of the terminal 900, connecting various parts of the terminal through various interfaces and lines. By running or calling computer programs stored in the memory 902, and by calling data stored in the memory 902, it executes various functions of the terminal and processes data, thereby performing overall monitoring of the terminal.

[0127] In this embodiment, the processor 901 in the electronic device 900 loads the instructions corresponding to the processes of one or more computer programs into the memory 902 according to the following steps, and the processor 901 runs the computer programs stored in the memory 902 to realize various functions: online setting of fuel cell sensor information database and corresponding key constraint parameters; determining mandatory constraints and conditional constraints based on the control parameters of the key constraint parameters before instability; forming a standard constraint set and a non-standard constraint set based on the mandatory constraints and conditional constraints; performing adaptive control in real time based on the current control target of the composite power source combined with the standard constraint set and the non-standard constraint set; controlling the operating constraint range of each control quantity in real time according to the range of the standard constraint set; when the failure rate of the control target reaches 5% for more than 5 minutes, automatically updating the standard constraint set and the non-standard constraint set for adaptive control.

[0128] Memory 902 can be used to store computer programs and data. The computer programs stored in memory 902 contain instructions that can be executed in the processor. Computer programs can be composed of various functional modules. Processor 901 executes various functional applications and data processing by calling the computer programs stored in memory 902.

[0129] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0130] In this invention, all abnormal constraint ranges that may cause stability risks are analyzed online, and then online multi-module control is performed based on the abnormal constraint range to ensure the stability of the fuel cell.

[0131] In this invention, three different control modes are set during online control, and adaptive adjustments are made according to the control modes to achieve stable control of multi-module load.

[0132] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0133] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0134] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0135] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0136] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for controlling the power of a multi-module composite power source in a fuel cell, characterized in that, The method includes: Configure the fuel cell sensor information database and corresponding key constraint parameters online; Based on the control parameters of the key constraint parameters before instability, mandatory constraints and conditional constraints are determined; specifically, this includes: obtaining the control parameters of the key constraint parameters before instability; setting mandatory constraints, which correspond to the range of control parameter changes that will definitely occur before instability, specifically including the corresponding ranges of changes for hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature; and setting conditional constraints, which correspond to the range of control parameter changes that have a certain probability of occurring before instability, wherein the certain probability is greater than 0, specifically including the corresponding ranges of changes for hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature. Based on the aforementioned mandatory and conditional constraints, a standard constraint set and a non-standard constraint set are formed. Specifically, this includes: online analysis of hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature, as seven online analysis data sets. If all seven online analysis data sets do not exceed the mandatory constraints, and if any of the seven online analysis data sets fall within the range of conditional constraints, then initialization analysis is initiated. After initiating initialization analysis, the hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature in the seven online analysis data sets are numbered sequentially as 1, 2, 3, 4, 5, 6, and 7. Three data sets from 1, 2, 3, 4, 5, 6, and 7 are selected consecutively without repetition as the standard constraint set; the remaining four data sets are used as the non-standard set. Real-time adaptive control is performed based on the current control objective of the hybrid power source, combined with standard and non-standard constraint sets. Specifically, this includes: obtaining the fuel cell output target from the current control objective of the hybrid power source; selecting the corresponding hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature based on the output target; when adjusting the given control of the non-standard set, setting the constraints of the corresponding three data groups, excluding conditional constraints; when setting the given control of the standard set, setting the constraints of the corresponding four data groups, including conditional constraints. Based on the range of the standard constraint set, the operating constraint range of each control quantity is controlled in real time; specifically, this includes: prioritizing the control parameters corresponding to the standard constraint set according to the order of the numbers in each standard constraint set from front to back; adjusting the control parameters corresponding to the standard constraint set from high to low according to the priority; and controlling the limit of the control quantity corresponding to each number in the standard constraint set as the constraint range corresponding to the conditional constraint. When the failure rate of the control target reaches 5% for more than 5 minutes, the standard constraint set and non-standard constraint set are automatically updated for adaptive control.

2. The fuel cell multi-module composite power control method as described in claim 1, characterized in that, The online configuration of the fuel cell sensor information database and corresponding key constraint parameters specifically includes: Set up and initialize a fuel cell sensor information database online. The fuel cell sensor database includes sensors for humidifier, intercooler, stack cooler, stack electrode temperature, and throttle inlet pressure. The hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure, and cooling water temperature are used as key constraint parameters.

3. The fuel cell multi-module composite power control method as described in claim 1, characterized in that, When the failure rate of the control target reaches 5% for more than 5 minutes, the system automatically updates the standard constraint set and non-standard constraint set for adaptive control, specifically including: When the failure rate of the control target of the composite power supply reaches 5% for more than 5 minutes, the standard constraint set and the non-standard constraint set are automatically re-selected randomly. After obtaining the set of standard constraints and the set of non-standard constraints, new optimal control is automatically performed until the control target of the composite power supply operates at a long-term control target compliance rate of 95% or above.

4. A fuel cell multi-module composite power control system, characterized in that, The system is used to implement the method as described in any one of claims 1-3, the system comprising: The data acquisition database module is used to set the fuel cell sensor data database and corresponding key constraint parameters online; The stability constraint analysis module is used to determine mandatory constraints and conditional constraints based on the control parameters of the key constraint parameters before instability. An adaptive adjustment initialization module is used to form a set of standard constraints and a set of non-standard constraints based on the mandatory constraints and conditional constraints. The load power control module is used to perform adaptive control in real time based on the control objectives of the current composite power supply, combined with standard and non-standard constraint sets. The condition constraint module is used to control the operating constraint range of each control quantity in real time according to the range of the standard constraint set; The constraint update module is used to automatically update the standard constraint set and non-standard constraint set for adaptive control when the failure rate of the control target reaches 5% for more than 5 minutes.

5. A computer-readable storage medium storing computer program instructions thereon, characterized in that, The computer program instructions, when executed by a processor, implement the method as described in any one of claims 1-3.

6. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-3.

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