Solid oxide electrolysis cell control method and system, electronic device, and storage medium

Abstract

The application relates to the field of electrolytic cells, in particular to a solid oxide electrolytic cell control method and system, an electronic device and a computer readable storage medium. The method comprises the following steps: obtaining a target power of a set electrolytic cell; determining a parameter curve set of the set electrolytic cell according to the target power, wherein the parameter curve set comprises a plurality of electrolytic cell parameter-time curves, and each electrolytic cell parameter-time curve corresponds to one electrolytic cell parameter; and controlling each electrolytic cell parameter based on the plurality of electrolytic cell parameter-time curves. The solid oxide electrolytic cell control method and system, the electronic device and the computer readable storage medium provided by the application can reduce the probability of system failure and safety risk of the SOEC system during the power change process of the solid oxide electrolytic cell.

Description

Technical Field

[0001] This application relates to the field of electrolytic cells, specifically to a control method and system for a solid oxide electrolytic cell, an electronic device, and a computer-readable storage medium. Background Technology

[0002] Solid oxide electrolysis cells (SOECs), as a highly efficient energy conversion and storage system, possess unique advantages such as high energy conversion efficiency, high fuel product purity, and deep coupling with renewable energy sources like solar and wind power. They exhibit irreplaceable and broad application prospects in large-scale green hydrogen production, grid energy storage, and industrial byproduct energy recovery, becoming a research hotspot and development focus in the current new energy field. In practical engineering applications, SOEC systems do not operate under constant power conditions but need to closely follow fluctuations in external grid load and the unstable characteristics of renewable energy output, frequently switching and adjusting between different power conditions.

[0003] In existing SOEC system control technologies, a common and mature control method is to achieve precise control of system power and switching of operating conditions by adjusting the fuel cell stack current. Its core principle is based on the linear correlation between SOEC system power and fuel cell stack current. By changing the input current of the fuel cell stack, the electrolysis reaction rate of the stack is directly adjusted, thereby achieving rapid adjustment of the system output power.

[0004] However, while the stack current, as an electrical signal, has an extremely fast response speed, adjusting from its minimum value to its rated value within milliseconds, other key parameters of the SOEC system, such as stack temperature, fuel gas (hydrogen, water vapor) flow rate and concentration, electrolyte humidity, and system inlet and outlet pressures, are limited by their own physical characteristics and control lag, resulting in relatively slower response times. For example, stack temperature, as a thermal parameter, is affected by the heat transfer process and the balance between exothermic and endothermic reactions in the electrolysis process. Its response time is typically on the order of seconds or even minutes. When the stack current increases rapidly, the electrolysis reaction rate accelerates sharply, and the exothermic reaction increases instantaneously, while the stack temperature cannot rise in time, leading to a large temperature gradient inside the stack and generating thermal stress. At the same time, the fuel gas flow rate is affected by the lag in pump and valve regulation and cannot match the reaction demand brought about by the increase in current in time, resulting in insufficient or excessive supply of reactants inside the stack, which in turn leads to problems such as localized oxygen deficiency, carbon buildup, or oxidation of the electrodes. The asynchronous response of these parameters not only leads to a significant decrease in the operating efficiency of the SOEC system and a shortened stack life, but also causes system failures such as electrolyte cracking, electrode peeling, and seal damage. In severe cases, it can also cause safety risks such as gas leakage, local overheating, or even explosion, which greatly limits the reliability and stability of the SOEC system in large-scale engineering applications. Summary of the Invention

[0005] In view of this, it is necessary to provide a solid oxide electrolyzer control method and system, electronic equipment and computer-readable storage medium to achieve the technical effect of reducing the probability of system failure and safety risks in the SOEC system during power variation of the solid oxide electrolyzer.

[0006] To address the aforementioned technical problems, in a first aspect, this application provides a method for controlling a solid oxide electrolytic cell, comprising: Obtain the target power of the set electrolytic cell; The parameter curve set of the set electrolytic cell is determined based on the target power. The parameter curve set includes multiple electrolytic cell parameter-time curves, and each electrolytic cell parameter-time curve corresponds to a certain electrolytic cell parameter. The parameters of each electrolytic cell are controlled based on the parameter-time curves of the multiple electrolytic cells.

[0007] In one possible embodiment, it further includes: Obtain the current power of the specified electrolytic cell; The step of determining the set of parameter curves for the set electrolytic cell based on the target power includes: The set of parameter curves for the set electrolytic cell is determined based on the current power and the target power.

[0008] In one possible embodiment, the method further includes: providing a setting correspondence, the setting correspondence including a plurality of setting powers and a set of setting parameter curves corresponding to each of the setting powers; The step of determining the parameter curve set of the set electrolytic cell based on the target power includes: The parameter curve set is determined based on the target power and the set correspondence.

[0009] In one possible embodiment, the electrolytic cell parameters include the stack current, the electrolytic cell parameter-time curve includes the stack current-time curve, and the step of determining the set of parameter curves for the set electrolytic cell based on the target power includes: Construct a correlation model between the stack current and the power of the electrolytic cell; The current-time curve of the fuel cell stack is determined based on the minimization objective function of the correlation model.

[0010] In one possible embodiment, constructing the correlation model between the stack current and the power of the electrolytic cell includes: According to the formula group ;

[0011] Construct a correlation model between the stack current and the power of the electrolytic cell, where z 1 This is a time shift operator, where k is a time parameter. Let k be the current in the fuel cell stack at time k. Let k be the power of the electrolytic cell at time k. Let k be the white noise corresponding to time k. For pure time delay steps, and For constant model coefficients, , The order of the constant model.

[0012] In one possible embodiment, before controlling each of the electrolytic cell parameters based on the plurality of electrolytic cell parameter-time curves, the method further includes: The maximum value of the constraint parameters of the set electrolytic cell is determined based on the current-time curve of the stack, and the constraint parameters include the water vapor mole fraction and / or the maximum oxygen partial pressure. In response to the maximum value being less than a set constraint parameter threshold, the following steps are performed: controlling each of the electrolytic cell parameters based on the multiple electrolytic cell parameter-time curves.

[0013] In one possible embodiment, the electrolytic cell parameters include the stack current, the electrolytic cell parameter-time curve includes the stack current-time curve, and the step of determining the set of parameter curves for the set electrolytic cell based on the target power includes: Obtain the current power of the set electrolytic cell, and set multiple interpolation power values ​​between the current power and the target power; Determine the interpolated stack current-time curves corresponding to each interpolated power, and combine all the interpolated stack current-time curves to obtain the stack current-time curve corresponding to the target power.

[0014] Secondly, this application also provides a solid oxide electrolytic cell control system, comprising: A power acquisition module, wherein the power acquisition module is used to acquire the target power of a set electrolytic cell; The parameter curve determination module is used to determine the parameter curve set of the set electrolytic cell according to the target power. The parameter curve set includes multiple electrolytic cell parameter-time curves, and each electrolytic cell parameter-time curve corresponds to a type of electrolytic cell parameter. A control module is used to control the parameters of each electrolytic cell based on the multiple electrolytic cell parameter-time curves.

[0015] Thirdly, this application also provides an electronic device, including a memory and a processor, wherein, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the solid oxide electrolytic cell control method described in any of the above implementations.

[0016] Fourthly, this application also provides a computer-readable storage medium for storing a computer-readable program or instructions, which, when executed by a processor, can implement the steps in the solid oxide electrolysis cell control method described in any of the above implementations.

[0017] The beneficial effects of this application are: Compared with related technologies, the solid oxide electrolyzer control method and system, electronic device and computer-readable storage medium provided in this application determine the corresponding set of parameter curves according to the target power that the set electrolyzer needs to be adjusted to. Since the set of parameter curves includes multiple electrolyzer parameter-time curves corresponding to different electrolyzer parameters, the parameters of each electrolyzer can be controlled separately according to the multiple electrolyzer parameter-time curves. This allows the parameters of different electrolyzers to change synchronously during the power conversion process, thereby avoiding electrolyzer failures and safety risks caused by inconsistent response speeds of multiple different electrolyzer parameters. This achieves the technical effect of reducing the probability of system failures and safety risks in the SOEC system during the power change process of the solid oxide electrolyzer. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application, 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 this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic flowchart of the solid oxide electrolytic cell control method provided in the embodiments of this application; Figure 2 This is a schematic flowchart illustrating the process of determining the set of parameter curves for the electrolytic cell based on the target power in the solid oxide electrolytic cell control method provided in this application embodiment. Figure 3 This is a schematic flowchart illustrating the process of determining the set of parameter curves for the electrolytic cell based on the target power in a solid oxide electrolytic cell control method provided in another embodiment of this application. Figure 4 This is a schematic diagram of the solid oxide electrolytic cell control system provided in the embodiments of this application; Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application; Figure 6 This is a schematic diagram of a specific experimental result of the solid oxide electrolytic cell control method provided in the embodiments of this application. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0021] In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0022] The terms "first," "second," etc., used in the embodiments of this application are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0024] This application provides a solid oxide electrolytic cell control method and system, electronic device and computer-readable storage medium, which are described below.

[0025] Please refer to Figure 1 The solid oxide electrolytic cell control method provided in this application includes: Step S101: Obtain the target power of the set electrolytic cell.

[0026] In this step, the electrolytic cell is defined as the solid oxide electrolytic cell that requires power conversion control, and the target power is the power that the solid oxide electrolytic cell needs to achieve, that is, the power of the solid oxide electrolytic cell after power conversion control.

[0027] Step S102: Determine the parameter curve set of the electrolytic cell based on the target power. The parameter curve set includes multiple electrolytic cell parameter-time curves.

[0028] In this step, each electrolytic cell parameter-time curve corresponds to one type of electrolytic cell parameter. That is, for each type of electrolytic cell parameter, a corresponding electrolytic cell parameter-time curve is determined. The electrolytic cell parameter-time curves corresponding to all electrolytic cell parameters together form the parameter curve set of the set electrolytic cell.

[0029] In this embodiment, a pre-set correspondence relationship is established, which includes multiple set power values ​​and a set of set parameter curves corresponding to each set power value. Based on this, this step compares the target power with each set power value to obtain the set of set parameter curves corresponding to the target power as the parameter curve set for the electrolytic cell. Directly matching the target power with multiple set power values ​​in the correspondence relationship and determining the parameter curve set for the electrolytic cell based on the matching results simplifies the calculation process, reduces the computational load, and effectively improves the control efficiency of the solid oxide electrolytic cell. This improved control efficiency further synchronizes the response rates of the various electrolytic cell parameters, reducing the failure and safety risks of the solid oxide electrolytic cell.

[0030] It is understood that the aforementioned method of determining the parameter curve set of the electrolytic cell using only the target power and the set correspondence is merely an example of one specific implementation of determining the parameter curve set of the electrolytic cell in this embodiment. In some other embodiments of this application, other methods may also be used, such as obtaining the current power of the electrolytic cell, setting multiple set power pairs in the set correspondence, and setting parameter curve sets corresponding to each set power pair. Based on this, the actual power pair composed of the current power and the target power is compared with each set power pair, and the set parameter curve set corresponding to the set power pair that is the same as the actual power pair composed of the current power and the target power is used as the parameter curve set of the electrolytic cell. Since the power switching process is affected not only by the final target power but also by the current power before the switching begins, in some embodiments of this application, the current power and the target power of the electrolytic cell are combined into an actual power pair, and multiple set power pairs are set in the set correspondence. This can make the determined parameter curve set of the electrolytic cell more consistent with the actual operating conditions and improve the reliability of the parameter curve set of the electrolytic cell.

[0031] Furthermore, in addition to the method described above for determining the parameter curve set of the electrolytic cell, please refer to some embodiments of this application. Figure 2 The parameter curve set for determining the electrolytic cell based on the target power can also be: Step S201: Obtain the current power of the set electrolytic cell, and set multiple interpolation power values ​​between the current power and the target power.

[0032] In this step, setting multiple interpolation powers between the current power and the target power specifically means obtaining multiple powers between the current power and the target power as interpolation powers. For example, if the current power is 10kW and the target power is 15kW, then power values ​​such as 12kW, 13kW, etc., which are greater than the current power of 10kW and less than the target power of 15kW, can be obtained as interpolation powers.

[0033] In this embodiment, obtaining multiple interpolated powers specifically means obtaining them uniformly, that is, obtaining multiple powers between the current power and the target power at the same interval as interpolated powers.

[0034] It is understood that the aforementioned method of obtaining multiple powers between the current power and the target power at the same interval as interpolation power is only a specific example in this embodiment. In some other embodiments of this application, the interpolation power can also be flexibly set according to actual needs.

[0035] Step S202: Determine the interpolated stack current-time curve corresponding to each interpolated power, and combine all the interpolated stack current-time curves to obtain the stack current-time curve corresponding to the target power.

[0036] It is understandable that after determining multiple interpolation powers, each interpolation power can be used as the target power in the aforementioned steps. Based on the aforementioned specific technical solution, the current-time curve of each interpolation power is obtained as the interpolation current-time curve. Then, according to the connection relationship of each interpolation power, all interpolation current-time curves are connected to obtain the current-time curve of the target power. For example, if the current power is 10kW and the target power is 15kW, obtain four interpolated power values ​​of 11kW, 12kW, 13kW, and 14kW. Then, based on the aforementioned technical solution, obtain the interpolated fuel cell current-time curve Q1 for the power pair (10kW, 11kW), Q2 for (11kW, 12kW), Q3 for (12kW, 13kW), Q4 for (13kW, 14kW), and Q5 for (14kW, 15kW). Finally, connect all the interpolated fuel cell current-time curves Q1, Q2, Q3, Q4, and Q5 in sequence to obtain the fuel cell current-time curve corresponding to the target power.

[0037] It is understood that the aforementioned method of determining the parameter curve set of the electrolytic cell by setting a correspondence is merely an example of one method for determining the parameter curve set of the electrolytic cell in this embodiment. In some other embodiments of this application, it can also be obtained through calculation. For example, in one embodiment of this application, the electrolytic cell parameters specifically include the stack current, and the electrolytic cell parameter-time curve includes the stack current-time curve corresponding to the stack current. Based on this, please refer to... Figure 3 The parameter curve set for determining the electrolytic cell based on the target power specifically includes: Step S301: Construct a correlation model between the stack current and the power of the electrolytic cell.

[0038] In this step, the correlation model between the stack current and the electrolytic cell power is specifically a discrete prediction model, based on the formula set. ;

[0039] Construct a correlation model between the stack current and the cell power of a given electrolytic cell; where z 1 represents the shift time operator, and k represents the time parameter. Let k be the current in the fuel cell stack at time k. Let k be the power of the electrolytic cell at time k. Let k be the white noise corresponding to time k. For pure time delay steps, and For constant model coefficients, , Let A(z) be the order of the constant model. 1 B(z) represents the autoregressive polynomial of the system output, used to describe the relationship between the current output and historical outputs. 1 ) represents the input polynomial, used to describe the dynamic effect of system input on output.

[0040] Step S302: Determine the stack current-time curve based on the minimization objective function of the correlation model.

[0041] In this step, the specific formula for determining the stack current-time curve based on the minimization objective function of the correlation model is as follows: ; in, J Let be the objective function. For the first The predicted output at each sampling time. for The reference trajectory formed as time j changes, To predict the step size, To control the step size, , For the first The weighting coefficients at each sampling time point, where k is the initial time parameter.

[0042] Based on the above formula, the resulting stack current-time curve is as follows: ,in, For the target power, This is the softening coefficient.

[0043] It is understandable that, in addition to the aforementioned specific parameters of the electrolytic cell, including the stack current, other parameters such as fuel flow rate and air flow rate are also included. For these other parameters, after the aforementioned stack current-time curve, multiple sampling points can be selected from the stack current-time curve. For the stack current corresponding to each sampling point, the fuel flow rate and air flow rate corresponding to that stack current are determined. Based on the fuel flow rate and air flow rate corresponding to all sampling points, the corresponding electrolytic cell parameter-time curve is obtained.

[0044] Step S103: Control the parameters of each electrolytic cell based on multiple electrolytic cell parameter-time curves.

[0045] In this step, for each electrolytic cell parameter, the parameter is controlled to change according to the corresponding electrolytic cell parameter-time curve. In this way, each electrolytic cell parameter changes according to the corresponding electrolytic cell parameter-time curve, and all electrolytic cell parameters can change synchronously.

[0046] Furthermore, in some embodiments of this application, before performing step S103, the maximum value of the constraint parameters of the electrolytic cell is determined based on the stack current-time curve. The constraint parameters include the water vapor mole fraction and / or the maximum oxygen partial pressure. In response to the maximum value being less than the threshold of the constraint parameters, the following step is performed: controlling the parameters of each electrolytic cell based on multiple electrolytic cell parameter-time curves.

[0047] Specifically, pre-set threshold values ​​for constraint parameters, taking water vapor mole fraction as an example, specifically the water vapor mole fraction at the outlet node, which is directly related to the risk of fuel deficit. For discrete nodes... (i, j), i, j These are time data and location data, respectively. i time, j Based on the location data, the water vapor mole fraction is defined as: ; Among them, respectively , They are respectively i Time, Exit Node jThe molar flow rates of hydrogen and water vapor at the specified locations. Since the electrolytic reaction in the solid oxide electrolytic cell consumes water vapor, the amount consumed is related to the current and can be characterized by a Faraday relationship: ; in, I For the fuel cell stack current, F Since is the Faraday constant, it can be seen that the molar flow rate of water vapor is directly related to the stack current. Therefore, in this application, the maximum value of the molar fraction of water vapor can be calculated from each stack current in the stack current-time curve.

[0048] Furthermore, taking the maximum oxygen partial pressure as an example, the maximum oxygen partial pressure is the maximum oxygen partial pressure at the oxygen electrode / electrolyte interface, which is directly related to the risk of oxygen electrode stratification. For discrete nodes (i, j), the interfacial oxygen partial pressure can be expressed in a form related to temperature and electrochemical polarization as follows:

[0049] in, This is the reference pressure for solid oxide electrolytic cells. F It is Faraday's constant. R The gas constant is... This refers to the polarization term corresponding to the fuel cell stack. For solid-state structures. Polarization term. The polarization term represents the polarization intensity of the fuel cell, reflecting the degree of polarization as the fuel cell potential deviates from the equilibrium potential. It is directly related to the fuel cell current. As the fuel cell current increases, the electrochemical reaction rate and ion diffusion rate on the fuel cell surface cannot keep up with the charge transfer requirements. Activation polarization, concentration polarization, and ohmic polarization all increase accordingly, significantly enhancing the polarization degree. This increased polarization degree, in turn, limits the fuel cell current, increases energy loss, and reduces the efficiency of the electrolytic cell. In other words, the polarization term... Since it is positively correlated with the stack current, the maximum value of the maximum oxygen partial pressure can be calculated from each stack current in the stack current-time curve in this application.

[0050] Compared with related technologies, the solid oxide electrolyzer control method provided in this embodiment determines the corresponding set of parameter curves based on the target power that the set electrolyzer needs to be adjusted to. Since the set of parameter curves includes multiple electrolyzer parameter-time curves corresponding to different electrolyzer parameters, the parameters of each electrolyzer can be controlled according to the multiple electrolyzer parameter-time curves. This allows the parameters of different electrolyzers to change synchronously during the power conversion process, thereby avoiding electrolyzer failures and safety risks caused by inconsistent response speeds of multiple different electrolyzer parameters. This achieves the technical effect of reducing the probability of system failures and safety risks in the SOEC system during the power change process of the solid oxide electrolyzer.

[0051] Based on the control methods of solid oxide electrolyzers, the corresponding methods are as follows: Figure 4 As shown in the figure, this application embodiment also provides a solid oxide electrolyzer control system, including: The power acquisition module 401 is used to acquire the target power of the set electrolytic cell; The parameter curve determination module 402 is used to determine the parameter curve set of the electrolytic cell according to the target power. The parameter curve set includes multiple electrolytic cell parameter-time curves, and each electrolytic cell parameter-time curve corresponds to a type of electrolytic cell parameter. The control module 403 is used to control the parameters of each electrolytic cell based on multiple electrolytic cell parameter-time curves.

[0052] The solid oxide electrolytic cell control system provided in the above embodiments can realize the technical solutions described in the above solid oxide electrolytic cell control method embodiments. The specific implementation principles of each module or unit can be found in the corresponding content in the above solid oxide electrolytic cell control method embodiments, which will not be repeated here.

[0053] Please refer to Figure 5 This application also provides an electronic device 500. The electronic device 500 includes a processor 501, a memory 502, and a display 503. Figure 5 Only some components of the electronic device 500 are shown, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0054] In some embodiments, processor 501 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 502 or process data, such as the solid oxide electrolysis cell control method in this application.

[0055] In some embodiments, processor 501 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 501 may be local or remote. In some embodiments, processor 501 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, inter-cloud, multi-cloud, or any combination thereof.

[0056] In some embodiments, memory 502 may be an internal storage unit of electronic device 500, such as a hard disk or memory of electronic device 500. In other embodiments, memory 502 may also be an external storage device of electronic device 500, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 500.

[0057] Furthermore, the memory 502 may include both internal storage units of the electronic device 500 and external storage devices. The memory 502 is used to store application software and various types of data installed on the electronic device 500.

[0058] In some embodiments, display 503 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 503 is used to display information from electronic device 500 and to display a visual user interface. Components 501-503 of electronic device 500 communicate with each other via a system bus.

[0059] In one embodiment, when processor 501 executes the solid oxide electrolysis cell control program in memory 502, the following steps can be implemented: Obtain the target power of the set electrolytic cell; The parameter curve set of the electrolytic cell is determined based on the target power. The parameter curve set includes multiple electrolytic cell parameter-time curves, and each electrolytic cell parameter-time curve corresponds to a certain electrolytic cell parameter. The parameters of each electrolytic cell are controlled based on multiple electrolytic cell parameter-time curves.

[0060] It should be understood that when the processor 501 executes the solid oxide electrolysis cell control program in the memory 502, in addition to the functions mentioned above, it can also perform other functions, as detailed in the description of the corresponding method embodiments above.

[0061] Furthermore, this application does not specifically limit the type of electronic device 500 mentioned in the embodiments. Electronic device 500 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic devices. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of this application, electronic device 500 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0062] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions of the solid oxide electrolysis cell control methods provided in the above-described method embodiments.

[0063] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0064] For further details, please refer to Figure 6 The solid oxide electrolyzer initially operated stably at a power of 10kW, and then switched its power from the current 10kW to a target power of 12kW. During the power switching process, such as... Figure 6 As shown, in the existing PID control method, because the rate of change of current is not constrained, the current changes extremely rapidly in the initial stage. After the current rises rapidly to about 46A, it drops rapidly to 44A, and then rises rapidly again to 46A. This not only involves a rapid fluctuation process, but also causes the water vapor mole fraction and interfacial oxygen pressure to exceed the preset safety threshold. Furthermore, compared with... Figure 6 (b) Figure 6 (c) Figure 6(d) It is evident that there are significant differences in the response rates of the stack current, water vapor mole fraction, and interfacial oxygen pressure. The response rate of the stack current is significantly faster than that of the water vapor mole fraction, which in turn is significantly faster than that of the interfacial oxygen pressure. The changes in these three parameters are asynchronous. However, in the solid oxide electrolyzer control method provided in this application, the stack current is used as the primary control variable and is adjusted according to the aforementioned constrained optimization control method. The fuel flow rate and air flow rate are adjusted according to the operating point corresponding to the target power. The power and stack current of the solid oxide electrolyzer gradually reach a new steady-state condition during the switching process. During this process, the minimum water vapor mole fraction at the outlet node remains above the preset safety threshold, and the oxygen partial pressure at the oxygen electrode-electrolyte interface does not exceed the safety upper limit.

[0065] The solid oxide electrolytic cell control method, system, electronic device, and storage medium provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for controlling a solid oxide electrolytic cell, characterized in that, include: Obtain the target power of the set electrolytic cell; The parameter curve set of the set electrolytic cell is determined based on the target power. The parameter curve set includes multiple electrolytic cell parameter-time curves, and each electrolytic cell parameter-time curve corresponds to a certain electrolytic cell parameter. The parameters of each electrolytic cell are controlled based on the parameter-time curves of the multiple electrolytic cells.

2. The solid oxide electrolytic cell control method according to claim 1, characterized in that, Also includes: Obtain the current power of the specified electrolytic cell; The step of determining the set of parameter curves for the set electrolytic cell based on the target power includes: The set of parameter curves for the set electrolytic cell is determined based on the current power and the target power.

3. The solid oxide electrolytic cell control method according to claim 1, characterized in that, Also includes: A setting correspondence relationship is provided, which includes multiple setting powers and a set of setting parameter curves corresponding to each setting power; The step of determining the parameter curve set of the set electrolytic cell based on the target power includes: The parameter curve set is determined based on the target power and the set correspondence.

4. The solid oxide electrolytic cell control method according to claim 1, characterized in that, The electrolytic cell parameters include the stack current, and the electrolytic cell parameter-time curve includes the stack current-time curve. Determining the parameter curve set of the set electrolytic cell based on the target power includes: Construct a correlation model between the stack current and the power of the electrolytic cell; The current-time curve of the fuel cell stack is determined based on the minimization objective function of the correlation model.

5. The solid oxide electrolytic cell control method according to claim 4, characterized in that, The construction of the correlation model between the stack current and the power of the electrolytic cell includes: Based on the formula set, a correlation model between the stack current and the power of the electrolytic cell is constructed. The formula set is as follows: ； Among them, z 1 This is a time shift operator, where k is a time parameter. Let k be the current in the fuel cell stack at time k. Let k be the power of the electrolytic cell at time k. Let k be the white noise corresponding to time k. For pure time delay steps, and For constant model coefficients, , The order of the constant model.

6. The solid oxide electrolytic cell control method according to claim 4, characterized in that, Before controlling the parameters of each electrolytic cell based on the multiple electrolytic cell parameter-time curves, the method further includes: The maximum value of the constraint parameters of the set electrolytic cell is determined based on the current-time curve of the stack, and the constraint parameters include the water vapor mole fraction and / or the maximum oxygen partial pressure. In response to the maximum value being less than a set constraint parameter threshold, the following steps are performed: controlling each of the electrolytic cell parameters based on the multiple electrolytic cell parameter-time curves.

7. The solid oxide electrolytic cell control method according to claim 1, characterized in that, The electrolytic cell parameters include the stack current, and the electrolytic cell parameter-time curve includes the stack current-time curve. Determining the parameter curve set of the set electrolytic cell based on the target power includes: Obtain the current power of the set electrolytic cell, and set multiple interpolation power values ​​between the current power and the target power; Determine the interpolated stack current-time curves corresponding to each interpolated power, and combine all the interpolated stack current-time curves to obtain the stack current-time curve corresponding to the target power.

8. A control system for a solid oxide electrolytic cell, characterized in that, include: A power acquisition module, wherein the power acquisition module is used to acquire the target power of a set electrolytic cell; The parameter curve determination module is used to determine the parameter curve set of the set electrolytic cell according to the target power. The parameter curve set includes multiple electrolytic cell parameter-time curves, and each electrolytic cell parameter-time curve corresponds to a type of electrolytic cell parameter. A control module is used to control the parameters of each electrolytic cell based on the multiple electrolytic cell parameter-time curves.

9. An electronic device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the solid oxide electrolytic cell control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the solid oxide electrolytic cell control method according to any one of claims 1 to 7.

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