Solid-state hydrogen storage fuel cell control method, medium, and solid-state hydrogen storage fuel cell

Abstract

This application discloses a control method, medium, and solid-state hydrogen storage fuel cell, belonging to the field of fuel cell technology. The control method acquires the actual temperature, pressure, and flow data of the solid-state hydrogen storage module and preprocesses the data; it employs a multi-parameter collaborative control algorithm to dynamically optimize the target temperature and pressure of the solid-state hydrogen storage module at the current moment; based on the optimized target temperature at the current moment, it uses an adaptive heating strategy to manage the regional temperature of the solid-state hydrogen storage module; based on the stable hydrogen release of the solid-state hydrogen storage module at each stage, it uses the optimized target pressure at the current moment and adjusts the valve opening of the solid-state hydrogen storage module according to PID control; and it controls the hydrogen release rate of the solid-state hydrogen storage module. This method achieves rapid and accurate temperature control and uniform temperature distribution of the solid-state hydrogen storage module, ensuring the stability of hydrogen release and greatly improving the performance and reliability of the fuel cell system.

Description

Technical Field

[0001] This application relates to the field of fuel cell technology, specifically to solid hydrogen storage fuel cell control methods, media, and solid hydrogen storage fuel cells. Background Technology

[0002] With the development of the hydrogen energy industry, solid-state hydrogen storage technology has gradually become a research hotspot for on-board fuel cell systems due to its high safety and volumetric hydrogen storage density advantages, and has been increasingly widely applied. However, in actual operation, the hydrogen release rate control of solid-state hydrogen storage modules and the system hydrogen pressure control are key factors affecting the performance and stability of fuel cells. The dehydrogenation rate of solid-state hydrogen storage materials (such as MOFs and metal hydrides) is significantly affected by temperature sensitivity. Existing hydrogen release rate control methods for solid-state hydrogen storage modules mostly rely on monitoring the temperature and pressure of the solid-state hydrogen storage module, which may lead to deviations between the hydrogen supply and actual demand. Under complex operating conditions, such as large temperature fluctuations or large fluctuations in load demand, the control effect may be unstable. How to stabilize the hydrogen release rate of solid-state hydrogen storage fuel cells, reduce hydrogen pressure fluctuations, and improve the output performance of fuel cells are technical problems that engineers need to solve. Summary of the Invention

[0003] The purpose of this application is to provide a control method, medium, and solid hydrogen storage fuel cell for solid hydrogen storage, so as to solve the above-mentioned defects caused by the prior art.

[0004] To achieve the above objectives, this application employs the following technical solution:

[0005] In a first aspect, this application discloses a control method for a solid-state hydrogen storage fuel cell, which includes...

[0006] Obtain actual temperature, actual pressure, and actual flow rate data for the solid-state hydrogen storage module;

[0007] Based on actual temperature, actual pressure, and actual flow data, a multi-parameter collaborative control algorithm is used to obtain the target temperature and target pressure of the solid hydrogen storage module at the current moment.

[0008] Based on the target temperature, an adaptive heating strategy is adopted to control the current stage of the solid-state hydrogen storage module. This control includes: if the current target temperature is less than T1 and the solid-state hydrogen storage module is in the cold start stage, heating is performed during the cold start stage; if the current target temperature is between T1 and T2 and the solid-state hydrogen storage module is in the stable hydrogen release stage, the temperature is maintained during the stable hydrogen release stage; if the current target temperature is greater than T2 and the solid-state hydrogen storage module is in the high load stage, overshoot is suppressed during the high load stage. Here, T1 is the low-temperature threshold, and T2 is the high-temperature threshold.

[0009] If the solid-state hydrogen storage module is currently in a stable hydrogen release phase after phase control, the valve opening of the solid-state hydrogen storage module is adjusted using PID control (proportional-integral-derivative control) based on the target pressure; wherein, the valve opening controls the hydrogen release rate of the solid-state hydrogen storage module.

[0010] A further aspect of this application includes a preprocessing step for the actual temperature, actual pressure, and actual flow rate data before obtaining the target temperature and target pressure. This preprocessing step includes:

[0011] The actual temperature, actual pressure, and actual flow rate are filtered using the Kalman filter algorithm. The calculation formula is as follows:

[0012] State equation: x k =Ax k-1 +Bu k +w k；

[0013] Observation equation: z k =Hx k +v k；

[0014] Where, x k Let x be the actual temperature, actual pressure, and actual flow rate state vector at time k; k-1 z is the actual temperature, actual pressure, and actual flow rate state vector at time k-1; k Let w be the measurement vector of actual temperature, actual pressure, and actual flow rate at time k; k For process noise; v k For observation noise; u k The control input vector is represented by A and B, which are the state transition matrix and control input matrix, respectively, and H is the observation matrix.

[0015] Residual analysis was used to screen the reliability of actual temperature, actual pressure, and actual flow rate data. The calculation formula is as follows:

[0016] ;

[0017] in, The raw data is set as a measurement vector of actual temperature, actual pressure, and actual flow rate; These are the historical averages of actual temperature, actual pressure, and actual flow rate.

[0018] If the residual value exceeds the preset residual value threshold within the preset time, the actual temperature, actual pressure, and actual flow rate will be collected again.

[0019] If the residual value does not exceed the preset residual value threshold, the original data is valid.

[0020] In a further embodiment of this application, the objective function used in the multi-parameter cooperative control algorithm is:

[0021] The model is ;

[0022] The constraints are as follows:

[0023] T min ≤ T ≤ T max ;

[0024] P min ≤ P ≤ P max ;

[0025] = f(Istack);

[0026] , , ;

[0027] Where Istack is the stack operating current; T target P represents the theoretical target value for temperature. target Q represents the theoretical target value for pressure. target The theoretical target value for hydrogen flow rate; α, β, and γ are weighting coefficients; T min To set the minimum temperature; T max To set the maximum temperature; P min To set the minimum pressure; P max To set the maximum pressure;

[0028] The temperature deviation at time t; The pressure deviation at time t; Let be the hydrogen flow rate deviation at time t. t represents the actual flow rate of hydrogen at time t; N represents the total monitoring time; T represents the temperature parameter, and P represents the pressure parameter;

[0029] Initial temperature parameters , Let be the actual temperature at time t, and the objective function be solved. , Let T be the target temperature at time t, and adjust the temperature parameter T during the solution process;

[0030] Initial pressure parameters , Let be the actual pressure at time t. After solving the objective function... , Let P be the target pressure at time t. The pressure parameter P is adjusted during the solution process.

[0031] A further aspect of this application involves controlling the heating power to control the temperature rise during the cold start phase, maintain the temperature during the stable hydrogen release phase, and suppress overshoot during the high load phase.

[0032] The heating power control formula is as follows:

[0033] ;

[0034] in, This refers to the heating power. This is the first proportional control coefficient. This is the first integral control coefficient. Represents the theoretical target value of temperature. Let t be the target temperature at time t.

[0035] A further aspect of this application is that the formula for adjusting the valve opening of the solid-state hydrogen storage module is as follows:

[0036] ;

[0037] ;

[0038] in, For pressure deviation, Valve opening degree; This is the second proportional control coefficient. This is the second integral control coefficient; Represents the theoretical target value of stress; The target pressure at time t; This is the initial valve.

[0039] Secondly, this application provides a computer-readable storage medium that stores one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform the above-described method.

[0040] Thirdly, this application also provides a solid-state hydrogen storage fuel cell, which is controlled using the above-mentioned method.

[0041] The beneficial effects of this application are as follows:

[0042] This invention combines a multi-parameter collaborative control algorithm to control the temperature, hydrogen release flow rate, and pressure of the solid-state hydrogen storage module. By utilizing an adaptive heating control strategy, the accuracy and response speed of the temperature control of the solid-state hydrogen storage module, as well as the uniformity of the temperature distribution, are optimized. This greatly improves the hydrogen release rate and stability of the solid-state hydrogen storage module under harsh operating conditions such as sudden changes in demand load, achieving efficient and stable hydrogen release from the solid-state hydrogen storage fuel cell and enhancing the performance and reliability of the fuel cell. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the solid-state hydrogen storage fuel cell system in the embodiments of this application;

[0044] Figure 2 This is a schematic diagram of the solid-state hydrogen storage and dehydrogenation module in an embodiment of this application;

[0045] Figure 3 This is a flowchart illustrating the control method in an embodiment of this application. Detailed Implementation

[0046] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this application or its application or use.

[0047] Example 1

[0048] As attached Figure 1 As shown, this embodiment relates to a hydrogen output control method for a solid-state hydrogen storage fuel cell, which includes acquiring the actual temperature, actual pressure, and actual flow data of the solid-state hydrogen storage module.

[0049] Based on actual temperature, actual pressure, and actual flow data, a multi-parameter collaborative control algorithm is used to obtain the target temperature and target pressure of the solid hydrogen storage module at the current moment.

[0050] Based on the target temperature, an adaptive heating strategy is adopted to control the current stage of the solid-state hydrogen storage module. This control includes: if the current target temperature is less than T1 and the solid-state hydrogen storage module is in the cold start stage, heating is performed during the cold start stage; if the current target temperature is between T1 and T2 and the solid-state hydrogen storage module is in the stable hydrogen release stage, the temperature is maintained during the stable hydrogen release stage; if the current target temperature is greater than T2 and the solid-state hydrogen storage module is in the high load stage, overshoot is suppressed during the high load stage. Here, T1 is the low-temperature threshold, and T2 is the high-temperature threshold.

[0051] If the solid-state hydrogen storage module is currently in a stable hydrogen release phase after phase control, the valve opening of the solid-state hydrogen storage module is adjusted according to the target pressure; wherein, the valve opening controls the hydrogen release rate of the solid-state hydrogen storage module.

[0052] This method is used to implement hydrogen output control in a solid-state hydrogen storage fuel cell system, as shown in the attached figure. Figure 2 and Figure 3A solid-state hydrogen fuel cell system includes a stack, a solid-state hydrogen storage module, a cooling module, and a controller. The solid-state hydrogen storage module supplies hydrogen to the stack; the air supply module supplies air to the stack; the cooling module controls the operating temperature of the stack; and the controller controls each module and the system's power output.

[0053] In some embodiments, the solid-state hydrogen storage fuel cell system is specifically designed as follows;

[0054] like Figure 3 As shown, the solid-state hydrogen storage module includes a solid-state hydrogen storage tank, a heating module, and a pressure buffer. Multi-parameter sensors are connected between the outlet of the solid-state hydrogen storage tank and the inlet of the heating module and pressure buffer. The multi-parameter sensors are used to collect signals such as temperature, pressure, and flow rate during the operation of the solid-state hydrogen storage module. Temperature is primarily measured by thermocouples (K-type) arranged on the surface and inside the hydrogen storage module, covering three layers along the axial direction with four radial points in each layer, ensuring the acquisition of temperature signals from different areas. Pressure and flow sensors are located at the outlet of the hydrogen storage module, collecting the hydrogen flow rate and pressure signals. The heating module is used to control the temperature of the hydrogen storage module. The pressure buffer is used to suppress high- and low-frequency pressure disturbances under varying load conditions, thereby achieving efficient and stable hydrogen output.

[0055] like Figure 2 As shown, a hydrogen circulation pump is installed between the solid hydrogen storage module and the fuel cell stack to provide circulation power for hydrogen; an exhaust and drain valve is used to discharge waste gas and moisture from the anode gas circulation process into the system; a water-gas separator is also included, with the upper output port of the water-gas separator connected to the inlet of the hydrogen circulation pump, the lower port of the water-gas separator connected to the inlet of the exhaust and drain valve, and the inlet of the water-gas separator connected to the gas-liquid outlet on the left side of the fuel cell stack.

[0056] The air supply module includes an integrated ambient temperature and pressure sensor, a flow meter assembly, a blower, an outlet throttle valve, and an inlet three-way valve;

[0057] The flow meter assembly and blower are connected in sequence. A humidifier is connected between the blower and the inlet of the three-way valve. An integrated ambient temperature and pressure sensor is arranged in the flow meter. The left outlet of the three-way valve is connected to the fuel cell stack, and the outlet throttle valve is connected to the fuel cell stack and the humidifier. A silencer is connected between the lower outlet of the three-way valve and the humidifier. The controller is configured to control the humidity of the air entering the fuel cell stack. The upper inlet of the humidifier and the right air outlet of the fuel cell stack are connected to the outlet throttle valve.

[0058] An integrated ambient temperature and pressure sensor is used to detect the temperature and pressure of the fuel cell operating environment; an air filter and air flow meter are used to filter impurities in the air and measure the flow rate of the air entering the stack; a blower provides power for the air; a humidifier controls the relative humidity of the air entering the stack; a three-way valve for entering the stack is used to regulate the flow rate of the air entering the stack and the bypass; air entering the stack temperature and pressure sensors are used to measure the pressure and temperature of the air entering the stack to determine whether they meet the requirements for stack operation; an outlet throttle valve is used to regulate the air system pressure and seal the stack when the system is shut down; and a tailpipe silencer is used for exhaust gas treatment.

[0059] The cooling module includes a water tank, a water pump, a filter, and a radiator; the water pump, water tank, filter, and radiator are connected in sequence; a thermostat is connected between the fuel cell stack and the radiator, the thermostat is connected to the outlet of the filter, and the outlet of the water pump is connected to the inlet of the fuel cell stack.

[0060] The controller of the solid-state hydrogen storage fuel cell system performs the following actions:

[0061] The first step involves the acquisition and preprocessing of multi-source data to achieve accurate and coordinated conditions for parameters such as actual temperature, actual flow rate, and actual pressure of the hydrogen storage module. A Kalman filter is used to process the raw sensor data (actual temperature, actual flow rate, and actual pressure) to eliminate noise interference and remove outlier data. The implementation method is as follows:

[0062] State equation: x k =Ax k-1 +Bu k +w k；

[0063] Observation equation: z k =Hx k +v k；

[0064] Where, x k Let x be the actual temperature, actual pressure, and actual flow rate state vector at time k; k-1 z is the actual temperature, actual pressure, and actual flow rate state vector at time k-1; k Let w be the measurement vector of actual temperature, actual pressure, and actual flow rate at time k; k For process noise; v k For observation noise; u k Let A be the control input vector; A and B be the state transition matrix and control input matrix, respectively, and H be the observation matrix.

[0065] To ensure stable system operation in the event of sensor or actuator failure, anomaly handling and fault tolerance mechanisms are implemented. Residual analysis is used to compare the consistency of data from multiple sensors. If the residuals consistently exceed limits (e.g., temperature differences exceeding 10°C), the temperature sensor is determined to be faulty, and the system switches to a redundant channel.

[0066] The residuals are calculated using the following formula;

[0067] ;

[0068] in, The raw data is set as a measurement vector of actual temperature, actual pressure, and actual flow rate; These are the historical averages of actual temperature, actual pressure, and actual flow rate.

[0069] If the residual value exceeds the preset residual value threshold within the preset time, the actual temperature, actual pressure, and actual flow rate will be collected again.

[0070] If the residual value does not exceed the preset residual value threshold, the original data is valid.

[0071] An MPC (Model Predictive Control) algorithm was employed to optimize the actual temperature and pressure data to obtain the target temperature and pressure at the current moment. The objective function for optimization is:

[0072] ;

[0073] The constraints are as follows:

[0074] T min ≤ T ≤ T max ;

[0075] P min ≤ P ≤ P max ;

[0076] = f(Istack);

[0077] , , ;

[0078] Where Istack is the stack operating current; T target P represents the theoretical target value for temperature. target Q represents the theoretical target value for pressure. target The theoretical target value for hydrogen flow rate; α, β, and γ are weighting coefficients; T min To set the minimum temperature; T max To set the maximum temperature; P min To set the minimum pressure; P max To set the maximum pressure;

[0079] The temperature deviation at time t; The pressure deviation at time t; Let be the hydrogen flow rate deviation at time t. t represents the actual flow rate of hydrogen at time t; N represents the total monitoring time; T represents the temperature parameter, and P represents the pressure parameter;

[0080] Initial temperature parameters , Let be the actual temperature at time t, and the objective function be solved. , Let T be the target temperature at time t, and adjust the temperature parameter T during the solution process;

[0081] Initial pressure parameters , Let be the actual pressure at time t. After solving the objective function... , Let P be the target pressure at time t. The pressure parameter P is adjusted during the solution process.

[0082] Specifically, α, β, and γ are adjusted according to different system operating conditions. For example, when the pressure deviation is >5%, α=0.2, β=0.6, and γ=0.2, and the pressure target value is adjusted first; when the temperature deviation is >10℃, α=0.7, β=0.1, and γ=0.2, and the pressure target value is adjusted first; the specific target deviation value can be adjusted according to different objects.

[0083] To dynamically allocate heating power and ensure uniform temperature distribution and response speed across different areas of the solid-state hydrogen storage module, an adaptive heating strategy is employed. A piecewise PID control (Proportional-Integral-Derivative control, which involves real-time acquisition of the deviation between the actual value of the controlled object and the preset target value, followed by coordinated calculations of proportional, integral, and derivative components to output control commands and continuously reduce the deviation) method is used to achieve rapid response and precise temperature control. The temperature control target for solid-state hydrogen storage is divided into three stages: when the temperature is below T1 and the solid-state hydrogen storage module is in the cold start stage, rapid temperature rise is implemented during the cold start stage; when the temperature is between T1 and T2 and the solid-state hydrogen storage module is in the stable hydrogen release stage, temperature maintenance is implemented during the stable hydrogen release stage; when the temperature is above T2 and the solid-state hydrogen storage module is in the high load stage, overshoot suppression is implemented during the high load stage; when the temperature target crosses the range, linear interpolation transition control parameters are used to avoid step disturbances.

[0084] A distributed heating power allocation method is adopted to control the heating power, thereby controlling the temperature rise during the cold start phase, maintaining the temperature during the stable hydrogen release phase, and suppressing overshoot during the high load phase. The heating power control formula is as follows:

[0085] ;

[0086] in, This refers to the heating power. This is the first proportional control coefficient. This is the first integral control coefficient. Represents the theoretical target value of temperature. Let t be the target temperature at time t.

[0087] To suppress pressure fluctuations caused by sudden load changes, a feedforward control method is adopted. Based on the current signal of the fuel cell, the hydrogen demand is calculated, and the heating power of the hydrogen storage module is adjusted in advance to meet the required hydrogen release rate, while correcting for pressure deviations.

[0088] Pressure deviation: ;

[0089] Correct valve opening: ;

[0090] in, For pressure deviation, Valve opening degree; This is the second proportional control coefficient. This is the second integral control coefficient; Represents the theoretical target value of stress; The target pressure at time t; This is the initial valve.

[0091] By using the control method described above for the hydrogen system of a solid-state hydrogen storage fuel cell, rapid and precise temperature control and uniform temperature distribution of the solid-state hydrogen storage module can be achieved. This enables efficient, continuous and stable hydrogen release from solid-state hydrogen storage, ensuring the stability of hydrogen release even under sudden changes in load conditions, and greatly improving the performance and reliability of the fuel cell system.

[0092] Example 2

[0093] This embodiment provides a computer-readable storage medium that stores one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform the method described in Embodiment 1.

[0094] Example 3

[0095] This embodiment relates to a solid-state hydrogen storage fuel cell, which is controlled by the method described in Embodiment 1 above.

[0096] In the description of this application, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this application. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0097] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art will understand the specific meaning of the above terms in this application based on the specific circumstances.

Claims

1. A control method for a solid-state hydrogen storage fuel cell, characterized in that, include Obtain actual temperature, actual pressure, and actual flow rate data for the solid-state hydrogen storage module; Based on actual temperature, actual pressure, and actual flow data, a multi-parameter collaborative control algorithm is used to obtain the target temperature and target pressure of the solid hydrogen storage module at the current moment. The objective function used in the multi-parameter cooperative control algorithm is: ； The constraints are: T min ≤ T ≤ T max ; P min ≤ P ≤ P max ; = f(Istack); ， ， ； Where Istack is the stack operating current; T target P represents the theoretical target value for temperature. target Q represents the theoretical target value for pressure. target The theoretical target value for hydrogen flow rate; α, β, and γ are weighting coefficients; T min To set the minimum temperature; T max To set the maximum temperature; P min To set the minimum pressure; P max To set the maximum pressure; The temperature deviation at time t; The pressure deviation at time t; Let be the hydrogen flow rate deviation at time t. t represents the actual flow rate of hydrogen at time t; N represents the total monitoring time; T represents the temperature parameter, and P represents the pressure parameter; Initial temperature parameters , Let be the actual temperature at time t, and the objective function be solved. , Let be the target temperature at time t. During the solution process, the temperature parameters... ; Initial pressure parameters , Let be the actual pressure at time t. After solving the objective function... , Let be the target pressure at time t. During the solution process, the pressure parameters... ; Based on the target temperature, an adaptive heating strategy is adopted to control the current stage of the solid-state hydrogen storage module. This control includes: if the current target temperature is less than T1 and the solid-state hydrogen storage module is in the cold start stage, heating is performed during the cold start stage; if the current target temperature is between T1 and T2 and the solid-state hydrogen storage module is in the stable hydrogen release stage, the temperature is maintained during the stable hydrogen release stage; if the current target temperature is greater than T2 and the solid-state hydrogen storage module is in the high load stage, overshoot is suppressed during the high load stage. Here, T1 is the low-temperature threshold, and T2 is the high-temperature threshold. If the solid-state hydrogen storage module is currently in a stable hydrogen release phase after phase control, the valve opening of the solid-state hydrogen storage module is adjusted according to the target pressure; wherein, the valve opening controls the hydrogen release rate of the solid-state hydrogen storage module.

2. The solid-state hydrogen storage fuel cell control method according to claim 1, characterized in that, Before obtaining the target temperature and target pressure, a preprocessing step is included for the actual temperature, actual pressure, and actual flow rate data. This step includes: After filtering the actual temperature, actual pressure, and actual flow rate using the Kalman filter algorithm, residual analysis is used to screen the reliability of the actual temperature, actual pressure, and actual flow rate data.

3. The solid-state hydrogen storage fuel cell control method according to claim 2, characterized in that, Residual analysis was used to screen the reliability of actual temperature, actual pressure, and actual flow data, specifically including: ； in, The raw data is set as a measurement vector of actual temperature, actual pressure, and actual flow rate; These are the historical averages of actual temperature, actual pressure, and actual flow rate. If the residual value exceeds the preset residual value threshold within the preset time, the actual temperature, actual pressure, and actual flow rate will be collected again. If the residual value does not exceed the preset residual value threshold, the original data is valid.

4. The solid-state hydrogen storage fuel cell control method according to claim 1, characterized in that, By controlling the heating power, the temperature rise during the cold start phase, the temperature maintenance during the stable hydrogen release phase, and the suppression of overshoot during the high load phase can be achieved. The heating power control formula is: ； in, This refers to the heating power. This is the first proportional control coefficient. This is the first integral control coefficient. Represents the theoretical target value of temperature. Let t be the target temperature at time t.

5. The solid-state hydrogen storage fuel cell control method according to claim 1, characterized in that, The formula for adjusting the valve opening of the solid hydrogen storage module is: ； ； in, For pressure deviation, Valve opening degree; This is the second proportional control coefficient. This is the second integral control coefficient; Represents the theoretical target value of stress; The target pressure at time t; This is the initial valve.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform the method of any one of claims 1 to 5.

7. A solid-state hydrogen storage fuel cell, characterized in that, Control is performed using the method described in any one of claims 1 to 5.

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