Cooperative control method and device for mixed hydrogen production electrolytic cell and electronic equipment

Abstract

The embodiment of the invention discloses a cooperative control method and device for a mixed hydrogen production electrolytic cell and electronic equipment. The method comprises the steps that after physical parameters of the mixed hydrogen production electrolytic cell are obtained in real time, a fuzzy input signal is obtained, then a fuzzy rule corresponding to the mixed hydrogen production electrolytic cell is determined, a fuzzy output signal is determined based on the fuzzy rule, and then defuzzification processing is conducted on the fuzzy output signal to obtain electrolytic cell control parameters. And finally, cooperatively controlling the mixed hydrogen production electrolytic cell through the electrolytic cell control parameters. And fuzzy logic control is adopted to carry out a series of processing such as fuzzification and defuzzification, so that the purpose of automatically and cooperatively controlling the ALK electrolytic cell and the PEM electrolytic cell is achieved, the obtained control parameters of the mixed hydrogen production electrolytic cell are more accurate, the control system has certain robustness, the stability of the whole mixed hydrogen production system is ensured, and the service life of the whole mixed hydrogen production system is prolonged. And system fluctuation caused by parameter factors is reduced, so that the energy production efficiency is improved.

Description

Technical Field

[0001] One or more embodiments of the present specification relate to the field of battery technology, and in particular, to a coordinated control method, device, and electronic equipment for a hybrid hydrogen production electrolyzer. Background Art

[0002] Since the Second Industrial Revolution, the use of fossil energy for power generation has brought about a large amount of carbon dioxide emissions, causing a series of problems such as global warming and sea level rise. Therefore, the development of renewable energy has become the main development trend in the current energy field. In the renewable energy system, the use of wind energy and solar energy to produce hydrogen is considered to be one of the most promising development paths. However, when hybrid hydrogen production is currently carried out using a hybrid hydrogen production cell, it can include an alkaline (ALK) electrolyzer and a proton exchange membrane (PEM) electrolyzer. Since electrolyzers with different dynamic characteristics will increase the difficulty of system power control, resulting in a large number of voltage fluctuations and load uncertainty, the current traditional electrolyzer control method mostly adopts manual regular adjustment of parameters through output power judgment, which is difficult to meet the high stability and high production efficiency requirements of the hybrid hydrogen production system. Summary of the invention

[0003] The embodiments of this specification provide a coordinated control method, device and electronic equipment for a hybrid hydrogen production electrolyzer, and the technical solution thereof is as follows:

[0004] In a first aspect, an embodiment of the present specification provides a coordinated control method of a hybrid hydrogen production electrolyzer, the method comprising:

[0005] Acquire physical parameters of a hybrid hydrogen production electrolyzer in real time, and perform fuzzy category mapping on the physical parameters to obtain a fuzzy input signal, wherein the hybrid hydrogen production electrolyzer includes an ALK electrolyzer and a PEM electrolyzer;

[0006] Determining a fuzzy rule corresponding to the hybrid hydrogen production electrolyzer, and determining a fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule;

[0007] Defuzzification is performed on the fuzzy output signal to obtain electrolytic cell control parameters corresponding to the defuzzification result;

[0008] The hybrid hydrogen production electrolyzer is cooperatively controlled based on the electrolyzer control parameters.

[0009] In a second aspect, a coordinated control device for a hybrid hydrogen production electrolyzer is provided, the device comprising:

[0010] An acquisition module, used for acquiring physical parameters of a hybrid hydrogen production electrolyzer in real time, and performing fuzzy category mapping on the physical parameters to obtain a fuzzy input signal, wherein the hybrid hydrogen production electrolyzer includes an ALK electrolyzer and a PEM electrolyzer;

[0011] A determination module, used to determine the fuzzy rules corresponding to the hybrid hydrogen production electrolyzer, and determine the fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rules;

[0012] A processing module, used for performing defuzzification processing on the fuzzy output signal to obtain an electrolytic cell control parameter corresponding to the defuzzification result;

[0013] A control module is used to collaboratively control the hybrid hydrogen production electrolyzer based on the electrolyzer control parameters.

[0014] In a third aspect, an electronic device is provided, including a device processor and a memory;

[0015] The device processor is connected to the memory;

[0016] The memory is used to store executable program code;

[0017] The device processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps of the method provided in the first aspect or any possible implementation manner of the first aspect.

[0018] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and the computer-readable storage medium stores instructions, which, when the instructions are executed on a computer or a device processor, cause the computer or the device processor to execute the method provided in the first aspect or any possible implementation of the first aspect.

[0019] The beneficial effects brought by the technical solutions provided by some embodiments of this specification include at least:

[0020] In one or more embodiments of the present specification, after obtaining the fuzzy input signal by first acquiring the physical parameters of the hybrid hydrogen production electrolyzer in real time, the fuzzy rules corresponding to the hybrid hydrogen production electrolyzer are determined, and the fuzzy output signal is determined based on the fuzzy rules, and then the fuzzy output signal is defuzzified to obtain the electrolyzer control parameters, and finally the hybrid hydrogen production electrolyzer is collaboratively controlled by the electrolyzer control parameters. Fuzzy logic control is used to perform a series of processes such as fuzzification and defuzzification to achieve the purpose of automatic collaborative control of the ALK electrolyzer and the PEM electrolyzer, so that the obtained hybrid hydrogen production electrolyzer control parameters are more accurate and its control system has a certain robustness, which ensures the stability of the overall hybrid hydrogen production system, reduces the system fluctuations caused by parameter factors, and thus improves energy production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 A flow chart of a coordinated control method of a hybrid hydrogen production electrolyzer provided in an embodiment of this specification;

[0023] Figure 2 A schematic diagram of the structure of a coordinated control device for a hybrid hydrogen production electrolyzer provided in an embodiment of this specification;

[0024] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0026] The terms "first", "second", "third", etc. in the description and claims of this specification and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0027] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present specification. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described with respect to some examples may be combined in other examples.

[0028] See also Figure 1 , Figure 1 An overall flow chart of a coordinated control method of a hybrid hydrogen production electrolyzer provided in an embodiment of this specification is shown, and the coordinated control method of the hybrid hydrogen production electrolyzer can be used in a server.

[0029] like Figure 1 As shown, the coordinated control method of the hybrid hydrogen production electrolyzer may at least include the following steps:

[0030] Step 101: Acquire the physical parameters of the hybrid hydrogen production electrolyzer in real time, and perform fuzzy category mapping on the physical parameters to obtain a fuzzy input signal.

[0031] Wherein, the hybrid hydrogen production electrolyzer includes an ALK electrolyzer and a PEM electrolyzer.

[0032] In the embodiments of this specification, the hybrid hydrogen production electrolyzer may include multiple combinations of ALK electrolyzers and PEM electrolyzers. As an example, the present invention adopts a single ALK electrolyzer and a single PEM electrolyzer combination for hybrid hydrogen production. In order to coordinately control the hybrid hydrogen production electrolyzer so that the output power of the hybrid hydrogen production electrolyzer meets the target requirements, it is necessary to first obtain the physical parameters in the hybrid hydrogen production electrolyzer in real time through sensors to determine the power control strategy in the hybrid hydrogen production electrolyzer. Among them, the physical parameters may include the electrolyzer power of the ALK electrolyzer and the bus voltage of the PEM electrolyzer, and may also include the total current, temperature and number of electrolyzers of the hybrid hydrogen production electrolyzer. Next, in order to coordinately control the hybrid hydrogen production electrolyzer using the power control strategy of fuzzy logic control, the membership of the physical parameters obtained in real time can be calculated first, and then each physical parameter can be mapped to the corresponding fuzzy category according to the size of the membership to obtain a fuzzy input signal. As an example, if the physical parameter μ (ΔP) has the highest membership of the "low" category, the power change value ΔP is mapped to the "low" category. If the physical parameter μ(ΔV) has the highest degree of membership to the “high” category, the voltage change value ΔV is mapped to the “high” category.

[0033] In one possible implementation manner, the real-time acquisition of physical parameters of the hybrid hydrogen production electrolyzer includes:

[0034] Obtain the electrolyzer power of the ALK electrolyzer and the bus voltage of the PEM electrolyzer in real time;

[0035] Determine a first physical parameter corresponding to the electrolyzer power and a second physical parameter corresponding to the bus voltage, wherein the first physical parameter includes a target power difference and a power increment, and the second physical parameter includes a target voltage difference and a voltage increment;

[0036] The first physical parameter and the second physical parameter are integrated to obtain the physical parameters of the hybrid hydrogen production electrolyzer.

[0037] In the embodiments of the present specification, in order to use the power control strategy of fuzzy logic control to coordinately control the hybrid hydrogen production electrolyzer, the pre-set target operating power is used as the control target in the ALK electrolyzer to absorb most of the power from the photovoltaic system, and the stable hydrogen production is achieved by controlling the operating power of the ALK electrolyzer to be constant. The preset target bus voltage is used as the control target in the PEM electrolyzer to absorb the remaining power from the photovoltaic system. Therefore, the real-time power of the electrolyzer can be measured and recorded in real time by the power meter installed on the ALK electrolyzer, which is recorded as P(ALK), and the bus voltage of the PEM electrolyzer can be monitored in real time by the voltage sensor installed on the PEM electrolyzer, which is recorded as V(PEM). Then, the difference ΔP between the real-time power and the target power is determined by difference calculation, which is defined as the target power difference, and the difference between the current real-time power and the historical power at the previous moment is calculated, which is defined as the power increment, and then the first physical parameter is determined. Similarly, the difference ΔV between the real-time bus voltage and the target bus voltage is determined by difference calculation, which is defined as the target voltage difference, and the difference between the current real-time bus voltage and the historical bus voltage at the previous moment is calculated, which is defined as the voltage increment, and then the second physical parameter is determined. Furthermore, the first physical parameter and the second physical parameter obtained by calculation are sorted and combined to obtain the physical parameters corresponding to the hybrid hydrogen production electrolyzer.

[0038] In one possible implementation, the fuzzy category mapping of the physical parameter to obtain the fuzzy input signal includes:

[0039] Calculating at least one degree of membership corresponding to the physical parameter based on a Gaussian membership function;

[0040] The fuzzy category mapping of each of the membership degrees in the membership category database is determined to obtain a fuzzy input signal.

[0041] In the embodiments of the present specification, a Gaussian function can be selected as the membership function, the target power difference and power increment, i.e., the first physical parameter, can be selected as the input physical parameters for the fuzzy logic control of the ALK electrolyzer, and the target voltage difference and voltage increment, i.e., the second physical parameter, can be selected as the input physical parameters for the fuzzy logic control of the PEM electrolyzer.

[0042] e 1 (k) = P ALK (k)-P ref (k)

[0043] Δe 1 (k) = P ALK (k)-P ALK (k-1)

[0044] e 2 (k) = V DC (k)-V ref(k)

[0045] Δe 2 (k) = V DC (k)-V DC (k-1)

[0046] Among them, e 1 (k) is the difference between the electrolytic cell power value and the target setting value, Δe 1 (k) is the increment of the difference, P ALK (k) is the electrolytic cell power at time k, P ref (k) is the target power setting value of the electrolytic cell at time k, P ALK (k-1) is the electrolytic cell power at time k-1. 2 (k) is the difference between the bus voltage value and the target setting value, Δe 2 (k) is the increment of the difference, V DC (k) is the DC bus voltage at time k, V ref (k) is the target setting value of the DC bus voltage at time k, V DC (k-1) is the DC bus voltage at time k-1.

[0047] Then, the Gaussian membership function is calculated using the following formula:

[0048]

[0049] σ and c are the parameters of the Gaussian function to be fitted.

[0050] Furthermore, after obtaining the membership degrees corresponding to the physical parameters, the membership degrees are queried through the pre-built membership category database. In the membership category database, each membership degree can be mapped to a fuzzy category. Finally, the fuzzy input signal corresponding to the physical parameter is obtained through the query result of the membership category database.

[0051] Step 102: Determine a fuzzy rule corresponding to the hybrid hydrogen production electrolyzer, and determine a fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule.

[0052] In the embodiments of the present specification, in order to use fuzzy control logic to determine the fuzzy output signal corresponding to the acquired fuzzy input signal, it is necessary to first determine the fuzzy rules corresponding to the hybrid hydrogen production electrolyzer. Among them, when determining the fuzzy rules, the historical test data of the hybrid hydrogen production electrolyzer can be clustered by a fuzzy clustering algorithm, or the weights and structures of the network can be extracted through neural network training to form fuzzy rules or a genetic algorithm can be used to optimize the fuzzy rule set, and the optimal or approximately optimal rules can be found by simulating the natural selection process. Next, the fuzzy input signal is matched with the preconditions corresponding to the determined fuzzy rules, and each theoretical activation rule is determined by the matching degree. Finally, the fuzzy output signal corresponding to the fuzzy input signal is determined according to the rule output of each fuzzy rule.

[0053] In one possible implementation, the determining of the fuzzy rules corresponding to the hybrid hydrogen production electrolyzer includes:

[0054] Obtaining historical test data of the hybrid hydrogen production electrolyzer;

[0055] The historical test data is clustered based on a fuzzy clustering algorithm to obtain fuzzy rules corresponding to the clustering results.

[0056] In the embodiment of the present specification, the historical test data of the hybrid hydrogen production electrolyzer can be directly retrieved from the data record library, which may include the historical test parameters of the electrolyzer such as power, voltage, current, temperature, and hydrogen production. Then, the acquired historical test data is preprocessed, including cleaning the data first to remove outliers and noise, ensure the quality of the data, and then normalize it to obtain standard data, so that it is suitable for subsequent fuzzy clustering algorithms. Then, the FCM fuzzy clustering algorithm is selected to perform clustering processing on the preprocessed standard data. C points can be randomly selected as the initial cluster center in the standard data set, and then according to each data point, the process of updating the cluster center is repeated until all standard data are met and the cluster iteration is completed and stopped. After clustering is completed, each data point belongs to a cluster, and each cluster has a cluster center. Further, the data characteristics of each cluster center are analyzed to determine the state or behavior mode represented by each cluster, and then the fuzzy rules are established through the data characteristics of the cluster center. As an example, the fuzzy rules are established as shown in Table 1, and the data in the table represent the proportional parameter P and the integral parameter I corresponding to different fuzzy inputs.

[0057] Table 1 Fuzzy rules

[0058]

[0059] (a) Proportional parameters

[0060]

[0061] (b) Integration parameters

[0062] In one possible implementation, the determining the fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule includes:

[0063] determining at least one activatable rule corresponding to the fuzzy input signal based on the fuzzy rule;

[0064] Obtain the rule output corresponding to each of the activatable rules, and perform union processing on each of the rule outputs to obtain a fuzzy output signal.

[0065] In the embodiments of the present specification, the fuzzy input signal can be first matched with the determined fuzzy rules. In general, each determined fuzzy rule usually includes a premise (if part) and a conclusion (then part). As an example, Rule 1: If the power is low and the voltage is low, then the control strategy is A, Rule 2: If the power is medium and the voltage is medium, then the control strategy is B, Rule 3: If the power is high and the voltage is high, then the control strategy is C. Therefore, according to the matching of the fuzzy input signal with the premise of each rule, the rules with complete matching or high matching degree can be determined and defined as activatable rules. Next, fuzzy reasoning is used to determine the rule output corresponding to each activatable rule, and all the rule outputs are combined and processed to obtain the merged fuzzy output signal.

[0066] Step 103: Defuzzify the fuzzy output signal to obtain electrolytic cell control parameters corresponding to the defuzzification result.

[0067] In the embodiment of this specification, after the fuzzy output signal corresponding to the fuzzy input signal is determined by the fuzzy rule, the corresponding defuzzification method of the collaborative control system can be determined first. Among them, the defuzzification method can be processed by the centroid removal method and the average method, and then the membership function parameters are adjusted according to the actual response of the control system to obtain the defuzzification result.

[0068] Optionally, the weighted average of the membership function values, namely the centroid value, can be calculated as the defuzzification result using the centroid removal method, and the average value method can be used to calculate the average value of all the maximum membership values ​​as the defuzzification result.

[0069] In one possible implementation, the defuzzification of the fuzzy output signal to obtain the electrolytic cell control parameter corresponding to the defuzzification result includes:

[0070] Determining a membership function value of the fuzzy output signal;

[0071] The membership function value is defuzzified based on the de-centering method to obtain the electrolytic cell control parameters corresponding to the defuzzification result.

[0072] In the embodiment of the present specification, for the obtained fuzzy output signal, the membership function is first determined based on the similarity between the actual output category and the fuzzy output category, and the membership function value of the fuzzy output signal is calculated by the determined membership function. Then, the weighted average center value of the first calculated membership function value is taken by the centroid removal method. Finally, the corresponding electrolytic cell control parameter is directly obtained according to the defuzzification result.

[0073] As an example, the obtained electrolyzer control parameters include selecting P=0.00001 and I=0.001 in an ALK electrolyzer, and selecting P=0.002 and I=0.1 in a PEM electrolyzer.

[0074] Step 104: Coordinately control the hybrid hydrogen production electrolyzer based on the electrolyzer control parameters.

[0075] In the embodiment of this specification, after obtaining the electrolyzer control parameters, since the electrolyzer control parameters may include the control parameters of the ALK electrolyzer and the PEM electrolyzer, the electrolyzer control parameters need to be respectively assigned to the corresponding single electrolyzers. Then, proportional integral control is performed on each electrolyzer by setting the obtained parameter standard through the PID controller, and parameter feedback adjustment is performed through the actual power output to complete the system control of the hybrid hydrogen production electrolyzer.

[0076] In one possible implementation, the collaboratively controlling the hybrid hydrogen production electrolyzer based on the electrolyzer control parameters includes:

[0077] Respectively determining the ALK electrolyzer parameters and the PEM electrolyzer parameters in the electrolyzer control parameters;

[0078] The hybrid hydrogen production electrolyzer is subjected to PID coordinated control based on the ALK electrolyzer parameters and the PEM electrolyzer parameters.

[0079] In the embodiments of this specification, the ALK electrolyzer parameters and the PEM electrolyzer parameters in the electrolyzer control parameters are first determined. As an example, in the ALK electrolyzer, P=0.00001, I=0.001, and in the PEM electrolyzer, P=0.002, I=0.1. Next, the PID controllers of the ALK electrolyzer and the PEM electrolyzer are initialized, and then the determined ALK electrolyzer parameters and the PEM electrolyzer parameters are used to set the parameters of each PID controller, and the output of each PID controller is used to adjust the power of the ALK electrolyzer and the bus voltage of the PEM electrolyzer, thereby completing the system control of the hybrid hydrogen production electrolyzer.

[0080] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0081] See next Figure 2 , Figure 2 The structure diagram of a coordinated control device for a hybrid hydrogen production electrolyzer provided in an embodiment of this specification is shown. It should be noted that: Figure 2 The coordinated control device of the hybrid hydrogen production electrolyzer shown is used to implement the present application Figure 1 For the convenience of explanation, only the part related to the embodiment of the present application is shown. For the specific technical details not disclosed, please refer to the present application. Figure 1 The embodiment shown.

[0082] like Figure 2 As shown, the coordinated control device of the hybrid hydrogen production electrolyzer may include at least:

[0083] An acquisition module 201 is used to acquire the physical parameters of a hybrid hydrogen production electrolyzer in real time and perform fuzzy category mapping on the physical parameters to obtain a fuzzy input signal, wherein the hybrid hydrogen production electrolyzer includes an ALK electrolyzer and a PEM electrolyzer;

[0084] A determination module 202, configured to determine a fuzzy rule corresponding to the hybrid hydrogen production electrolyzer, and determine a fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule;

[0085] A processing module 203 is used to perform a defuzzification process on the fuzzy output signal to obtain an electrolytic cell control parameter corresponding to the defuzzification result;

[0086] The control module 204 is used to collaboratively control the hybrid hydrogen production electrolyzer based on the electrolyzer control parameters.

[0087] In one possible implementation, the acquisition module 201 is specifically used for:

[0088] Obtain the electrolyzer power of the ALK electrolyzer and the bus voltage of the PEM electrolyzer in real time;

[0089] Determine a first physical parameter corresponding to the electrolyzer power and a second physical parameter corresponding to the bus voltage, wherein the first physical parameter includes a target power difference and a power increment, and the second physical parameter includes a target voltage difference and a voltage increment;

[0090] The first physical parameter and the second physical parameter are integrated to obtain the physical parameters of the hybrid hydrogen production electrolyzer.

[0091] In one possible implementation, the acquisition module 201 is further specifically used for:

[0092] Calculating at least one degree of membership corresponding to the physical parameter based on a Gaussian membership function;

[0093] The fuzzy category mapping of each of the membership degrees in the membership category database is determined to obtain a fuzzy input signal.

[0094] In one possible implementation, the determination module 202 is specifically configured to:

[0095] Obtaining historical test data of the hybrid hydrogen production electrolyzer;

[0096] The historical test data is clustered based on a fuzzy clustering algorithm to obtain fuzzy rules corresponding to the clustering results.

[0097] In one possible implementation, the determination module 202 is further configured to:

[0098] determining at least one activatable rule corresponding to the fuzzy input signal based on the fuzzy rule;

[0099] Obtain the rule output corresponding to each of the activatable rules, and perform union processing on each of the rule outputs to obtain a fuzzy output signal.

[0100] In one possible implementation, the processing module 203 is specifically used for:

[0101] Determining a membership function value of the fuzzy output signal;

[0102] The membership function value is defuzzified based on the de-centering method to obtain the electrolytic cell control parameters corresponding to the defuzzification result.

[0103] In one possible implementation, the control module 204 is specifically configured to:

[0104] Respectively determining the ALK electrolyzer parameters and the PEM electrolyzer parameters in the electrolyzer control parameters;

[0105] The hybrid hydrogen production electrolyzer is subjected to PID coordinated control based on the ALK electrolyzer parameters and the PEM electrolyzer parameters.

[0106] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented with the help of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array (Field-Programmable Gate Array, FPGA), an integrated circuit (Integrated Circuit, IC), etc.

[0107] Each processing unit and / or module of the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.

[0108] See next Figure 3 , Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this specification is shown.

[0109] like Figure 3 As shown, the electronic device 300 may include: at least one device processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 and at least one communication bus 302 .

[0110] The communication bus 302 may be used to realize the connection and communication among the above-mentioned components.

[0111] The user interface 303 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0112] The network interface 304 may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, etc.

[0113] Among them, the device processor 301 may include one or more processing cores. The device processor 301 uses various interfaces and lines to connect various parts within the entire electronic device 300, and executes various functions and processes data of the electronic device 300 by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the device processor 301 can be implemented in at least one hardware form of DSP, FPGA, and PLA. The device processor 301 can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the device processor 301, and it can be implemented separately through a chip.

[0114] The memory 305 may include RAM or ROM. Optionally, the memory 305 includes a non-transitory computer-readable medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store data involved in the above-mentioned method embodiments, etc. The memory 305 may optionally be at least one storage device located away from the aforementioned device processor 301. As Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

[0115] Specifically, the device processor 301 may be used to call the collaborative control application of the hybrid hydrogen production electrolyzer stored in the memory 305, and specifically perform the following operations:

[0116] Acquire physical parameters of a hybrid hydrogen production electrolyzer in real time, and perform fuzzy category mapping on the physical parameters to obtain a fuzzy input signal, wherein the hybrid hydrogen production electrolyzer includes an ALK electrolyzer and a PEM electrolyzer;

[0117] Determining a fuzzy rule corresponding to the hybrid hydrogen production electrolyzer, and determining a fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule;

[0118] Defuzzification is performed on the fuzzy output signal to obtain electrolytic cell control parameters corresponding to the defuzzification result;

[0119] The hybrid hydrogen production electrolyzer is cooperatively controlled based on the electrolyzer control parameters.

[0120] As an option of the embodiments of this specification, the real-time acquisition of physical parameters of the hybrid hydrogen production electrolyzer includes:

[0121] Obtain the electrolyzer power of the ALK electrolyzer and the bus voltage of the PEM electrolyzer in real time;

[0122] Determine a first physical parameter corresponding to the electrolyzer power and a second physical parameter corresponding to the bus voltage, wherein the first physical parameter includes a target power difference and a power increment, and the second physical parameter includes a target voltage difference and a voltage increment;

[0123] The first physical parameter and the second physical parameter are integrated to obtain the physical parameters of the hybrid hydrogen production electrolyzer.

[0124] As an option of the embodiment of this specification, the performing fuzzy category mapping on the physical parameter to obtain a fuzzy input signal includes:

[0125] Calculating at least one degree of membership corresponding to the physical parameter based on a Gaussian membership function;

[0126] The fuzzy category mapping of each of the membership degrees in the membership category database is determined to obtain a fuzzy input signal.

[0127] As an optional embodiment of this specification, the determining of the fuzzy rules corresponding to the hybrid hydrogen production electrolyzer includes:

[0128] Obtaining historical test data of the hybrid hydrogen production electrolyzer;

[0129] The historical test data is clustered based on a fuzzy clustering algorithm to obtain fuzzy rules corresponding to the clustering results.

[0130] As an option of the embodiment of this specification, the determining the fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule includes:

[0131] determining at least one activatable rule corresponding to the fuzzy input signal based on the fuzzy rule;

[0132] Obtain the rule output corresponding to each of the activatable rules, and perform union processing on each of the rule outputs to obtain a fuzzy output signal.

[0133] As an option of the embodiment of this specification, the defuzzification processing is performed on the fuzzy output signal to obtain the electrolytic cell control parameter corresponding to the defuzzification result, including:

[0134] Determining a membership function value of the fuzzy output signal;

[0135] The membership function value is defuzzified based on the de-centering method to obtain the electrolytic cell control parameters corresponding to the defuzzification result.

[0136] As an option of the embodiments of this specification, the collaborative control of the hybrid hydrogen production electrolyzer based on the electrolyzer control parameter includes:

[0137] Respectively determining the ALK electrolyzer parameters and the PEM electrolyzer parameters in the electrolyzer control parameters;

[0138] The hybrid hydrogen production electrolyzer is subjected to PID coordinated control based on the ALK electrolyzer parameters and the PEM electrolyzer parameters.

[0139] The embodiments of this specification also provide a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0140] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0141] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0142] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0143] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0144] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0145] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program code.

[0146] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct the relevant hardware. The program may be stored in a computer-readable memory, and the memory may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0147] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A coordinated control method for a hybrid hydrogen production electrolyzer, characterized in that: The method comprises: Acquire physical parameters of a hybrid hydrogen production electrolyzer in real time, and perform fuzzy category mapping on the physical parameters to obtain a fuzzy input signal, wherein the hybrid hydrogen production electrolyzer includes an ALK electrolyzer and a PEM electrolyzer; Determining a fuzzy rule corresponding to the hybrid hydrogen production electrolyzer, and determining a fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule; Defuzzification is performed on the fuzzy output signal to obtain electrolytic cell control parameters corresponding to the defuzzification result; The hybrid hydrogen production electrolyzer is cooperatively controlled based on the electrolyzer control parameters.

2. The method according to claim 1, characterized in that The real-time acquisition of physical parameters of the hybrid hydrogen production electrolyzer includes: Obtain the electrolyzer power of the ALK electrolyzer and the bus voltage of the PEM electrolyzer in real time; Determine a first physical parameter corresponding to the electrolyzer power and a second physical parameter corresponding to the bus voltage, wherein the first physical parameter includes a target power difference and a power increment, and the second physical parameter includes a target voltage difference and a voltage increment; The first physical parameter and the second physical parameter are integrated to obtain the physical parameters of the hybrid hydrogen production electrolyzer.

3. The method according to claim 1, characterized in that The step of performing fuzzy category mapping on the physical parameters to obtain a fuzzy input signal comprises: Calculating at least one degree of membership corresponding to the physical parameter based on a Gaussian membership function; The fuzzy category mapping of each of the membership degrees in the membership category database is determined to obtain a fuzzy input signal.

4. The method according to claim 1, characterized in that The step of determining the fuzzy rules corresponding to the hybrid hydrogen production electrolyzer comprises: Obtaining historical test data of the hybrid hydrogen production electrolyzer; The historical test data is clustered based on a fuzzy clustering algorithm to obtain fuzzy rules corresponding to the clustering results.

5. The method according to claim 1, characterized in that The determining the fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rule comprises: determining at least one activatable rule corresponding to the fuzzy input signal based on the fuzzy rule; Obtain the rule output corresponding to each of the activatable rules, and perform union processing on each of the rule outputs to obtain a fuzzy output signal.

6. The method according to claim 1, characterized in that The defuzzification process is performed on the fuzzy output signal to obtain the electrolytic cell control parameter corresponding to the defuzzification result, including: Determining a membership function value of the fuzzy output signal; The membership function value is defuzzified based on the de-centering method to obtain the electrolytic cell control parameters corresponding to the defuzzification result.

7. The method according to claim 1, characterized in that The method of collaboratively controlling the hybrid hydrogen production electrolyzer based on the electrolyzer control parameters includes: Respectively determining the ALK electrolyzer parameters and the PEM electrolyzer parameters in the electrolyzer control parameters; The hybrid hydrogen production electrolyzer is subjected to PID coordinated control based on the ALK electrolyzer parameters and the PEM electrolyzer parameters.

8. A coordinated control device for a hybrid hydrogen production electrolyzer, characterized in that: The device comprises: An acquisition module, used for acquiring physical parameters of a hybrid hydrogen production electrolyzer in real time, and performing fuzzy category mapping on the physical parameters to obtain a fuzzy input signal, wherein the hybrid hydrogen production electrolyzer includes an ALK electrolyzer and a PEM electrolyzer; A determination module, used to determine the fuzzy rules corresponding to the hybrid hydrogen production electrolyzer, and determine the fuzzy output signal corresponding to the fuzzy input signal based on the fuzzy rules; A processing module, used for performing defuzzification processing on the fuzzy output signal to obtain an electrolytic cell control parameter corresponding to the defuzzification result; A control module is used to collaboratively control the hybrid hydrogen production electrolyzer based on the electrolyzer control parameters.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer-readable storage medium has instructions stored therein, and when the instructions are executed on a computer or a processor, the computer or the processor executes the steps of the method according to any one of claims 1 to 7.

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