Information processing device, information processing method, and information processing program

Abstract

An information processing device is provided that can accurately predict transient phenomena in the current-voltage characteristics of a water electrolysis cell by automating the adjustment of coefficients of a physical formula used to predict the electrical characteristics of the water electrolysis cell. [Solution] An information processing device that predicts transient phenomena in a water electrolysis cell that includes a positive electrode, a negative electrode, an electrolyte membrane interposed between the positive electrode and the negative electrode, and an application unit that connects the positive electrode and the negative electrode and applies an application. The information processing device includes a theoretical formula memory unit that stores the physical formula of the water electrolysis cell, a first generation unit that generates a physical formula for an overvoltage component based on the physical formula, a second generation unit that generates a physical formula for an electric double layer from the physical formula for the overvoltage component, an acquisition unit that acquires actual measured values ​​in the water electrolysis cell, and an adjustment unit that adjusts the coefficients in the physical formula for the electric double layer based on the actual measured values.

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program, and more particularly to an information processing device, a method, and a program for executing processing to represent transient phenomena in a water electrolysis cell. [Background technology]

[0002] A water electrolysis cell, which electrolyzes water to produce hydrogen and oxygen, is composed of four elements: a positive electrode, a negative electrode, an electrolyte membrane, and a voltage application section, and inside it, chemical reactions occur, as do physical actions such as electrochemical reactions, gas (hydrogen, oxygen, water) transport, water diffusion, electroosmotic resistance, and water pressure. Taking these actions into consideration, water electrolysis cells are modeled, including overvoltage components of activation and resistance, and concentration overvoltage, in addition to the theoretical electrolysis voltage (see Non-Patent Document 1).

[0003] According to the water electrolysis cell model mentioned above, the coefficients (parameters) of the physical formula are empirically adjusted (fitted). At an ambient temperature of 60°C to 80°C, the current-voltage characteristics of the water electrolysis cell can be predicted with high accuracy.

[0004] However, the water electrolysis cell model described above does not accurately represent the transient phenomena that accompany the electrochemical reaction of the water electrolysis cell. For accurate performance evaluation of a water electrolysis cell that electrolyzes water, it is important to consider the transient phenomena that occur in each element. Furthermore, the coefficients (parameters) of the physical formula only represent the current-voltage characteristics of a specific water electrolysis cell, making it difficult to apply to other water electrolysis cells. The adjustment results for the coefficients (parameters) of the physical formula have not been evaluated based on objective indicators, and the accuracy is lower than that of adjustment results using an algorithm that uses objective indicators. [Prior art documents] [Non-patent literature]

[0005] [Non-Patent Document 1] Energies 2018,11(12),3273 Summary of the Invention [Problem to be solved by the invention]

[0006] The transient phenomenon in the current-voltage characteristics of a water electrolysis cell is mainly due to the formation of an electric double layer on the surface of the liquid and the electrodes. However, because there is no calculation formula for the electric double layer, transient phenomena could not be expressed. Since there is no method for adjusting the coefficients (parameters) of the physical formulas with high accuracy and automatically, adjustment of the coefficients (parameters) of the physical formulas is dependent on experience.

[0007] The present invention has been made in consideration of the above points and provides an information processing device that can accurately predict transient phenomena in the current-voltage characteristics of a water electrolysis cell by automating the adjustment of coefficients of a physical formula used to predict the electrical characteristics of the water electrolysis cell, and also provides an information processing method and an information processing program for the same purpose. [Means for solving the problem]

[0008] That is, the information processing device of the embodiment is an information processing device that predicts transient phenomena in a water electrolysis cell that includes a positive electrode, a negative electrode, an electrolyte membrane interposed between the positive electrode and the negative electrode, and an application unit that connects the positive electrode and the negative electrode and applies an application, and is characterized by including: a theoretical formula storage unit that stores a physical formula for the water electrolysis cell; a first generation unit that generates a physical formula for an overvoltage component based on the physical formula; a second generation unit that generates a physical formula for an electric double layer from the physical formula for the overvoltage component; an acquisition unit that acquires actual measured values ​​for the water electrolysis cell; and an adjustment unit that adjusts coefficients in the physical formula for the electric double layer based on the actual measured values.

[0009] Furthermore, in the information processing device, the theoretical formula storage unit may store physical formulas for gas transport, water diffusion, electroosmotic resistance, and water pressure in the water electrolysis cell.

[0010] Furthermore, in the information processing device, the first generator may generate physical formulas for the theoretical electrolysis voltage, activation overvoltage, resistance overvoltage, and concentration overvoltage in the water electrolysis cell.

[0011] Furthermore, in the information processing device, the adjustment unit may adjust the coefficients in the physical formula of the electric double layer by the square root of the mean square percentage error from the difference between the predicted value and the actually measured value of the physical formula of the electric double layer.

[0012] Furthermore, in the information processing device, the adjustment unit may adjust coefficients in the physical formula of the electric double layer by nonlinear programming. [Effects of the Invention]

[0013] The information processing device of the present invention is configured to predict transient phenomena in a water electrolysis cell including a positive electrode, a negative electrode, an electrolyte membrane interposed between the positive electrode and the negative electrode, and an application unit that connects the positive electrode and the negative electrode and applies an application voltage to the positive electrode and the negative electrode. The information processing device includes a theoretical formula storage unit that stores a physical formula for the water electrolysis cell, a first generation unit that generates a physical formula for an overvoltage component based on the physical formula, a second generation unit that generates a physical formula for an electric double layer from the physical formula for the overvoltage component, an acquisition unit that acquires actual measured values ​​of the water electrolysis cell, and an adjustment unit that adjusts coefficients in the physical formula for the electric double layer based on the actual measured values. Therefore, the information processing device can automate the adjustment of coefficients in the physical formula used to predict the electrical characteristics of the water electrolysis cell, thereby enabling accurate prediction of transient phenomena in the current-voltage characteristics of the water electrolysis cell. Similar effects can also be achieved with information processing methods and information processing programs. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a schematic configuration diagram illustrating an overview of an information processing apparatus according to an embodiment. [Figure 2] 1 is a block diagram showing a configuration inside an information processing apparatus according to an embodiment; [Figure 3] 1 is a block diagram illustrating functional units in an information processing apparatus according to an embodiment. [Figure 4] 4 is a flowchart illustrating main control of the information processing apparatus according to the embodiment. [Figure 5] 10 is a graph showing a voltage sweep measurement. [Figure 6]10 is a graph showing the measurement of frequency characteristic analysis. [Figure 7] 10 is a graph showing the voltage sweep measurement after the coefficients are adjusted. [Figure 8] This is a graph showing the measurement of frequency characteristic analysis after adjusting the coefficients that combine the physical formula of the electric double layer. [Figure 9] 10 is a graph showing the measurement of step voltage application after adjusting the coefficient. [Figure 10] 10 is a graph showing the measurement of step voltage application after adjusting the coefficients obtained by combining the physical formulas for the electric double layer. DETAILED DESCRIPTION OF THE INVENTION

[0015] In accordance with an embodiment, an information processing device supplies water and electricity to a water electrolysis cell that exists as an actual device, and measures physical quantities at various locations when hydrogen and oxygen are generated from the water electrolysis cell. The information processing device then calculates the difference between the measured and theoretical values ​​derived from theoretical calculations of physical phenomena associated with electrochemical reactions in the water electrolysis cell, and automates the adjustment of coefficients in a physical formula used to predict the electrical characteristics of the water electrolysis cell, thereby enabling accurate prediction of transient phenomena in the current-voltage characteristics of the actual water electrolysis cell. In particular, by reconnecting the water electrolysis cell to be measured and predicted, the information processing device determines coefficients in the physical formula that are adapted for each water electrolysis cell, enabling accurate prediction of transient phenomena in the water electrolysis cell.

[0016] FIG. 1 is a schematic diagram showing the configuration of an information processing device 1 according to an embodiment. The information processing device 1 is any type of electronic computer (computing resource, computer) such as a personal computer (PC), tablet terminal, or smartphone. A water electrolysis cell 50 to be predicted is connected to the information processing device 1 (computer). A display unit 7 (display) serving as an output device and devices such as a keyboard 5 and a mouse 6 serving as input devices are connected to the information processing device 1. Various detectors and sensors (not shown) for measuring the gas supplied, such as a pressure meter, flow meter, voltmeter, and resistance meter, are appropriately mounted on the water electrolysis cell 50, and measurements are taken during operation of the water electrolysis cell 50.

[0017] The water electrolysis cell 50 has a positive electrode 51, a negative electrode 52, and an electrolyte membrane 53 interposed between the positive electrode 51 and the negative electrode 52. Due to this structure, the water electrolysis cell 50 is in the form of an electric double layer. An application unit 54 that connects the positive electrode 51 and the negative electrode 52 and applies voltage is provided. The application unit 54 is a DC power source. When a voltage is applied between the positive electrode 51 and the negative electrode 52 by the application unit 54, and water (water vapor) is introduced from the positive electrode 51 side of the water electrolysis cell 50, electrolysis of the water occurs in the electric double layer, and protons (H + ) and ultimately hydrogen is produced at the negative electrode 52. As will be described later, the current density (Acm -2 ) and voltage (V), time (seconds) and current density (Acm -2 ) prediction accuracy will be improved.

[0018] 2 is a block diagram showing the internal configuration of an information processing device 1 according to an embodiment. As can be seen from this block diagram, the information processing device 1 (computer) is composed of, in terms of hardware, a processing element 11, RAM 12, ROM 13, a storage unit 14, and an I / O (input / output interface) 15. It also includes a main memory, an LSI, etc. In terms of software, it is realized by a document mapping display program loaded into the main memory, etc. The processing element 11 is a processor of various types, such as a CPU or GPU.

[0019] When each functional unit of the information processing device 1 is realized by software, the information processing device 1 is realized by executing instructions of a program, which is software that realizes each function. The recording medium that stores this program can be a "non-transitory tangible medium," such as a CD, DVD, semiconductor memory, or programmable logic circuit. The program may also be supplied to the information processing device 1 (computer) via any transmission medium (such as a communication network or broadcast waves) that can transmit the program.

[0020] The various storage units in the information processing device 1 are a RAM 12, a ROM 13, and a storage device such as an HDD or SSD as a storage unit 14. Furthermore, each functional unit that executes arithmetic processing is a calculation element 11. As shown in the block diagram of Fig. 3, the information processing device 1 includes functional units such as a theoretical formula storage unit 110, a first generation unit 120, a second generation unit 130, an acquisition unit 140, an adjustment unit 150, and an output unit 160.

[0021] The I / O 15 is an interface, buffer, etc. for communication (transmission and reception). The I / O 15 is used to connect various detectors and sensors of the water electrolysis cell 50, receive input signals, and send output signals to the display unit 7, etc., and works in conjunction with the arithmetic element 11. The display unit 7 is a known display (such as a liquid crystal display device or an organic EL display device). In addition, the display unit 7 may be a device with an image display function, such as a tablet terminal or a smartphone. Furthermore, devices such as a keyboard 5 and a mouse 6 are connected to the I / O 15 as input devices.

[0022] The individual functional units of the information processing device 1 (computer) according to the embodiment will be described in order with reference to the block diagram of FIG.

[0023] The theoretical formula storage unit 110 stores physical formulas for water electrolysis cells. These physical formulas include those for gas transport, water diffusion, electroosmotic resistance, and water pressure in water electrolysis cells, and are generally valid for water electrolysis cells. These physical formulas are general-purpose mathematical formulas that have been confirmed to hold true for water electrolysis cells, regardless of the type of water electrolysis cell (see the formulas described below).

[0024] The first generator 120 generates physical formulas for overvoltage components based on the physical formulas. The overvoltage components are the theoretical electrolysis voltage, activation overvoltage, resistance overvoltage, and concentration overvoltage in the water electrolysis cell, and the first generator 120 generates physical formulas for these overvoltage components (see the formulas described below).

[0025] The second generator 130 generates a physical formula for the electric double layer from the physical formula for the overvoltage component. The second generator 130 calculates the amount of charge (C) at the positive and negative electrodes to represent the electric double layer at the positive and negative electrodes of the water electrolysis cell from the physical formulas generated up to this point (see the formulas described below). The physical formula for the electric double layer is then implemented in the information processing device 1 in combination with the calculation of the current and voltage.

[0026] The process up to this point constitutes advance preparation of various physical formulas, calculations, etc. that are valid for a general water electrolysis cell. So-called theoretical physical formulas, calculations, etc. for a water electrolysis cell are prepared in advance.

[0027] The acquisition unit 140 then acquires the actual measured values ​​of the water electrolysis cell. As described above, detection signals from various detectors and sensors of the water electrolysis cell 50 currently connected to the information processing device 1 disclosed in FIG. 1 are received via the I / O 15 and stored in the RAM 12, storage unit 14, etc. of the information processing device 1. As will be described later, measurement data such as voltage sweep and frequency characteristic analysis is acquired from the water electrolysis cell (see FIGS. 5 and 6).

[0028] The adjustment unit 150 adjusts the coefficients in the physical formula of the electric double layer based on the actual measured values. In the information processing device 1 according to the embodiment, the theoretical physical formula, calculations, etc. that hold true for the water electrolysis cell are adjusted based on the behavior of the actually connected water electrolysis cell 50 during operation and the results of the actual measured values, and the coefficients (parameters) are adjusted and changed to a physical formula that is suited to the actual water electrolysis cell 50. Thus, the prediction accuracy is improved by adapting the formula to the water electrolysis cell 50 rather than theoretical prediction calculations.

[0029] Here, the adjustment unit 150 adjusts the coefficients in the physical formula of the electric double layer by statistically processing the square root of the mean squared percentage error from the difference between the predicted value and the actual measured value of the physical formula of the electric double layer. The square root of the mean squared percentage error is called RMSPE (Root Mean Squared Percentage Error). In RMSPE, the square of the "difference between the predicted value and the actual measured value divided by the actual measured value (= percentage error)" is calculated, and the sum of these values ​​is divided by the number of data to calculate the average value. The square root of the mean squared percentage error (RMSPE) is preferably used because it has good statistical processing accuracy when adjusting the coefficients.

[0030] When calculating the root mean square percentage error (RMSPE), the adjustment unit 150 adjusts the coefficients in the physical formulas of the electric double layer using nonlinear programming. Increasing the accuracy of the root mean square percentage error (RMSPE) calculations requires a large number of measurement points. Therefore, when using nonlinear programming to compare predicted values ​​of various physical formulas of the electric double layer with the corresponding measured values, and to perform calculations, machine learning techniques are incorporated to automate the process. Machine learning is primarily a model using training data, and various techniques such as support vector machines, naive Bayes estimation, linear regression models, support vector regression models, Gaussian process regression models, decision trees, and neural networks are used.

[0031] The output unit 160 executes processing to output various items such as the physical formula of the electric double layer, predicted values ​​(theoretical values) and actual measured values, and the physical formula generated through coefficient adjustment of the root mean square percent error (RMSPE) from the I / O 15 of the information processing device 1.

[0032] Next, an information processing method in the information processing device 1 of the embodiment will be described together with an information processing program. The information processing method in the information processing device 1 of the embodiment is executed by the arithmetic element 11 of the information processing device 1 based on the information processing program. The information processing method causes the arithmetic element 11 of the information processing device 1 to execute a theoretical formula storage function, a first generation function, a second generation function, an acquisition function, an adjustment function, and an output function. Each function has been described above, so details will be omitted.

[0033] The flowchart in Figure 4 shows the overall flow of the information processing method in the calculation element 11 of the information processing device 1 of the embodiment, and in Figure 4, a theoretical formula storage step (S110), a first generation step (S120), a second generation step (S130), an acquisition step (S140), an adjustment step (S150), and an output step (S160) are executed.

[0034] The theoretical formula storage function stores the physical formula for the water electrolysis cell (S110; theoretical formula storage step). The first generation function generates a physical formula for the overvoltage component based on the physical formula (S120; first generation step). The second generation function generates a physical formula for the electric double layer from the physical formula for the overvoltage component (S130; second generation step). The acquisition function acquires actual measured values ​​for the water electrolysis cell (S140; acquisition step). The adjustment function adjusts coefficients in the physical formula for the electric double layer based on the measured values ​​(S150; adjustment step). The output function outputs required information (S160; output step).

[0035] The computer program of the above-described embodiment may be recorded on a processor-readable recording medium, which may be a "non-transitory tangible medium" such as a disk, a card, a semiconductor memory, or a programmable logic circuit.

[0036] The computer program can be implemented using, for example, a scripting language such as ActionScript or JavaScript (registered trademark), an object-oriented programming language such as Objective-C or Java (registered trademark), or a markup language such as HTML5.

[0037] The physical equations for a water electrolysis cell will now be presented and explained.

[0038] The theoretical physical formula for a water electrolysis cell is as follows: Current is expressed as follows:

[0039]

number

[0040] In the formula, I is the current, A is the area of ​​the electrolyte membrane, and i is the current density.

[0041] The formula for calculating voltage (V) is as follows:

[0042]

number

[0043] In the formula, V oc is the open circuit voltage, V act is the activation overvoltage, V ohm is the resistor overvoltage, V con is the concentration overpotential.

[0044] The open circuit voltage is:

[0045]

number

[0046] where E0 is the reversible cell voltage, R is the universal gas constant, T is the temperature, z is the charge in the chemical reaction, F is the Faraday constant, and p H2 is the partial pressure of hydrogen, p O2 is the partial pressure of oxygen, p catis the air pressure at the negative electrode, p an is the air pressure at the positive electrode.

[0047] The activation overvoltage is:

[0048]

number

[0049]

number

[0050]

number

[0051] In the formula, V an act is the activation overvoltage of the positive electrode, V cat act is the activation overvoltage of the negative electrode, α an is the charge transfer coefficient of the positive electrode, i 0,an is the exchange current density of the positive electrode, α cat is the charge transfer coefficient of the negative electrode, i 0,act is the exchange current density of the negative electrode.

[0052] i0(i 0,an and i 0,act ) are as follows:

[0053]

number

[0054] where γM is the roughness coefficient, i0 * is the temperature-dependent exchange current density coefficient.

[0055] i0 by current * (i0 * ,an and i0 * ,act ) is calculated (Aurenius formula) as follows:

[0056]

number

[0057] In the formula, i 0,ref is the exchange current density at the reference temperature (i 0anref and i 0catref ), E a is the activation energy, T ref is the reference temperature.

[0058] The calculation of the resistance overvoltage is as follows:

[0059]

number

[0060] In the formula, δ mem is the thickness of the electrolyte membrane, σ mem is the conductivity of the electrolyte membrane.

[0061] σ mem The calculation is as follows:

[0062]

number

[0063] In the formula, C H+ is the concentration of hydrogen ions in the membrane, D H+ is the diffusion rate of hydrogen ions in the membrane.

[0064] The concentration overpotential is calculated as follows:

[0065]

number

[0066] In the formula, C an,mem,H2O is the molar concentration of water vapor in the membrane at the positive electrode, C an,ch,H2O is the molar concentration of water vapor at the positive electrode, C cat,mem,H2Ois the molar concentration of water vapor in the membrane at the negative electrode, C cat,ch,H2O is the molar concentration of water vapor at the negative electrode.

[0067] From this series of steps, the formula for calculating the electric double layer is as follows. Using this formula, the charge of the positive electrode (C an ) and the negative electrode charge (C cat ) can be calculated respectively.

[0068]

number

[0069] Next, when measuring an actual water electrolysis cell (see Figure 1), the following two measurement methods are used.

[0070] Voltage sweep The voltage applied to the water electrolysis cell is increased from 0 V to a predetermined upper voltage limit at the same rate, and once the upper voltage limit is reached, it is decreased back to 0 V at the same rate. The current is measured during the voltage increase and decrease. To eliminate the influence of the area of ​​the electrolyte membrane of the water electrolysis cell, the current is converted to a current density for evaluation. This process is shown as a graph of the hysteresis in Figure 5.

[0071] FRA (Frequency Response Analysis) A constant DC voltage signal is applied to the water electrolysis cell. A constant amplitude sine wave is then applied, and the ratio and phase difference between the current and voltage are measured while the frequency of the sine wave is swept. From the ratio and phase difference, the real part (ReZ(Ω)) and imaginary part (ImZ(Ω)) of the equivalent resistance can be calculated. This relationship is called a Cole-Cole plot.

[0072] The coefficients (parameters) of the physical equation to be adjusted (fitted) are as described above in "α an (charge transfer coefficient of the positive electrode), α cat (charge transfer coefficient of negative electrode), i 0anref (exchange current density of the positive electrode at the reference temperature), i 0catref (exchange current density of negative electrode at reference temperature), D H+(diffusivity of hydrogen ions in the membrane), C an (positive charge), C cat (charge on the negative electrode)".

[0073] The following values ​​are known as known information for these coefficients. α an :1.2 α cat :0.5 i 0anref :5×10 -12 A cm -2 i 0catref :1×10 -3 A cm -2 D H+ :2.4×10 -9 m 2 ·s -1 C an :1 F C cat :1 F

[0074] When adjusting the coefficients, the values ​​of each coefficient (parameter) in the above physical formula are searched for within the constraints so that the accuracy is maximized. The accuracy is defined as "1 - error rate (%)". The error rate is calculated using the root mean squared percentage error (RMSPE). The following formula outlines RMSPE. In the formula, y i is the actual value obtained from the measurement data, and y i ^ is a predicted value derived from a physical formula. When adjusting the coefficients, the lower limit of the voltage is the electrolysis voltage, and the upper limit is the region where the maximum voltage during measurement is used. The fmincon function (a function that finds the minimum value of a constrained nonlinear multivariable function) from the Optimization Toolbox of MATLAB (registered trademark) (MathWorks, Inc.) is used as the method for adjusting the coefficients (parameter fitting), and adjustments are made to minimize the error rate.

[0075]

number

[0076] The upper and lower limits for the coefficients (parameters) of the physical equation to be adjusted (fitted) are as follows: α an :0~2 α cat :0~1.5 i 0anref :10 -12 ~ 10 -9 A cm -2 i 0catref :10 -4 ~ 10 -3 A cm -2 D H+ :0.5×10 -9 m 2 ·s -1 C an :0~∞ F C cat :0~∞ F

[0077] The graph in Figure 7 shows a model that implements the physical equations for current and voltage and adjusts the coefficients (parameters). There is an overlap between the model and the measured data, and the current-voltage characteristics of the water electrolysis cell during voltage sweep are accurately represented. However, this model does not fully represent transient phenomena (hysteresis).

[0078] In contrast, the graph in Figure 8 shows a model implemented by combining the physical equations of current, voltage, and the electric double layer, with the coefficients (parameters) adjusted. This model is now able to express transient phenomena (hysteresis) in the same way as the actual measurement data.

[0079] The graph in Figure 9 shows a model that implements the physical equations for current and voltage and adjusts the coefficients (parameters) for step voltage application. By adjusting the coefficients, the current-voltage characteristics of a water electrolysis cell when a step voltage is applied can be accurately represented. However, it does not adequately represent the transient phenomena of inrush current and relaxation phenomenon that occur when the voltage changes. Here, inrush current refers to the peak portion where a large current flows instantaneously. Relaxation phenomenon refers to the portion where the current gradually converges after the peak.

[0080] The graph in Figure 10 shows a model implemented by combining the physical equations of current and voltage with the physical equations of the electric double layer, and adjusting the coefficients (parameters). From the graph in Figure 10, the low current side (0 to 0.3 A cm -2 ) when the voltage is changed stepwise, the model accurately represents the inrush current and relaxation phenomena of the water electrolysis cell.

[0081] By verifying a series of models and implementing them in combination with the physical equations of the electric double layer, it is possible to estimate the behavior of an actual water electrolysis cell with great accuracy. As a result, it is expected that the accuracy of predictions will improve when performance is changed due to changes in the material or structure of the water electrolysis cell. It is also expected that the model will be useful for predicting capacity design and control studies in the development of hydrogen supply systems. [Explanation of symbols]

[0082] 1 Literature mapping display device 5 Keyboard 6. Mouse 7 Display 11 Computing elements 12 RAM 13 ROM 14 Storage section 15 I / O (input / output interface) 50 water electrolysis cell 51 Positive electrode 52 Negative electrode 53 Electrolyte membrane 54 Applicator 110 Theoretical formula storage section 120 1st generation part 130 Second Generation Section 140 Acquired Department 150 Adjustment Department 160 Output Department

Claims

1. 1. An information processing device for predicting a transient phenomenon in a water electrolysis cell comprising: a positive electrode; a negative electrode; an electrolyte membrane interposed between the positive electrode and the negative electrode; and an application unit that connects the positive electrode and the negative electrode and applies an application voltage, The information processing device includes: a theoretical formula storage unit that stores a physical formula for the water electrolysis cell; a first generator that generates a physical formula of an overvoltage component based on the physical formula; a second generating unit that generates a physical formula of an electric double layer from the physical formula of the overvoltage component; an acquisition unit that acquires actual measured values ​​of the water electrolysis cell; an adjusting unit that adjusts a coefficient in the physical formula of the electric double layer based on the actual measurement value; 1. An information processing device comprising:

2. The information processing device according to claim 1 , wherein the theoretical formula storage unit stores physical formulas for gas transport, water diffusion, electroosmotic resistance, and water pressure in the water electrolysis cell.

3. The information processing device according to claim 1 , wherein the first generating unit generates physical formulas of a theoretical electrolysis voltage, an activation overvoltage, a resistance overvoltage, and a concentration overvoltage in the water electrolysis cell.

4. The information processing device according to claim 1 , wherein the adjustment unit adjusts a coefficient in the physical formula of the electric double layer by a square root of a mean square percentage error from a difference between a predicted value of the physical formula of the electric double layer and the actual measured value.

5. The information processing device according to claim 4 , wherein the adjustment unit adjusts coefficients in the physical formula of the electric double layer by nonlinear programming.

6. 1. An information processing method for an information processing device that predicts a transient phenomenon in a water electrolysis cell including a positive electrode, a negative electrode, an electrolyte membrane interposed between the positive electrode and the negative electrode, and an application unit that connects the positive electrode and the negative electrode and applies an application voltage, the method comprising: The information processing device includes: a theoretical formula storage step of storing a physical formula for the water electrolysis cell; a first generation step of generating a physical formula of an overvoltage component based on the physical formula; a second generation step of generating a physical formula of an electric double layer from the physical formula of the overvoltage component; acquiring an actual measurement value of the water electrolysis cell; and adjusting a coefficient in the physical formula of the electric double layer based on the actual measurement value.

1. An information processing method comprising:

7. 1. An information processing program for an information processing device that predicts a transient phenomenon in a water electrolysis cell including a positive electrode, a negative electrode, an electrolyte membrane interposed between the positive electrode and the negative electrode, and an application unit that connects the positive electrode and the negative electrode and applies an application, The information processing device includes: a theoretical formula storage function that stores a physical formula of the water electrolysis cell; a first generating function for generating a physical expression of an overvoltage component based on the physical expression; a second generating function for generating a physical formula of an electric double layer from the physical formula of the overvoltage component; an acquisition function for acquiring actual measured values ​​of the water electrolysis cell; and an adjustment function for adjusting the coefficients in the physical formula of the electric double layer based on the actual measured values. An information processing program characterized by:

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