Operation optimization methods, devices, media, and computing equipment for electrolytic hydrogen storage units

Abstract

This invention provides a method, apparatus, medium, and computing device for optimizing the operation of an electrolytic hydrogen storage device, relating to the field of hydrogen energy technology. The method includes: constructing a multiphysics simulation model of the electrolytic hydrogen storage device; obtaining a sampling matrix containing operating parameters based on the multiphysics simulation model; determining an initial adjustment scheme for the multiphysics simulation model based on the sampling matrix; wherein the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter; determining an optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme; and optimizing the operating parameters in the multiphysics simulation model based on the optimal adjustment scheme to obtain optimized performance indicators of the electrolytic hydrogen storage device. This invention improves the operating efficiency of the multiphysics simulation model based on the optimized performance indicators of the electrolytic hydrogen storage device, thereby enabling the electrolytic hydrogen storage device operating based on the optimized performance indicators to achieve optimal performance.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of hydrogen energy technology, and more specifically, the embodiments of the present invention relate to an operation optimization method, apparatus, medium and computing equipment for an electrolytic hydrogen storage device. Background Technology

[0002] This section is intended to provide background or context for embodiments of the invention as set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] Large-scale deployment of renewable energy is a key strategy for addressing greenhouse gas emissions and the energy crisis. However, the instability and intermittency of these energy sources pose significant challenges to the stable operation of power systems. Against this backdrop, hydrogen energy, with its superior cleanliness and high energy density, is gradually emerging as a strong candidate for mitigating fluctuations in energy supply and demand.

[0004] As an important part of the hydrogen energy industry chain, water electrolysis hydrogen production technology is mainly based on traditional electrolysis hydrogen storage devices, which mostly use alkaline electrolyzers and operate at normal temperature and pressure. Their electrolysis efficiency is relatively low, and the operating parameters of the electrolysis hydrogen storage device cannot be adjusted in a targeted manner, making it difficult for the electrolysis hydrogen storage device to achieve optimal performance. Summary of the Invention

[0005] In this context, embodiments of the present invention aim to provide an operation optimization method, apparatus, medium, and computing device for an electrolytic hydrogen storage device.

[0006] In a first aspect of the present invention, a method for optimizing the operation of an electrolytic hydrogen storage device is provided, comprising:

[0007] Construct a multiphysics simulation model for an electrolytic hydrogen storage device;

[0008] A sampling matrix containing operating parameters is obtained based on the multiphysics simulation model; wherein, the operating parameters include at least the current, inlet gas velocity, inlet pressure, and inlet gas temperature in the multiphysics simulation model;

[0009] Based on the sampling matrix, an initial adjustment scheme for the multiphysics simulation model is determined; wherein, the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter;

[0010] Based on the sampling matrix and the initial adjustment scheme, an optimal adjustment scheme is determined; wherein, the optimal adjustment scheme includes adjustment data corresponding to each operating parameter;

[0011] Based on the optimal adjustment scheme, the operating parameters in the multiphysics simulation model are optimized to obtain the optimized performance indicators of the electrolytic hydrogen storage device.

[0012] In one embodiment of this implementation, determining the initial adjustment scheme of the multiphysics simulation model based on the sampling matrix includes:

[0013] Initial operating parameters are randomly determined from the sampling matrix;

[0014] Based on the initial operating parameters and the preset standardized operating parameters, multiple candidate initial adjustment schemes are determined;

[0015] Calculate the device efficiency value for each candidate initial adjustment scheme;

[0016] The candidate initial adjustment scheme with the highest device efficiency value is determined as the initial adjustment scheme of the multiphysics simulation model.

[0017] In one embodiment of this implementation, determining the optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme includes:

[0018] Candidate operation parameters corresponding to the initial operation parameters are obtained from the sampling matrix; wherein the position of the candidate operation parameter in the sampling matrix is ​​adjacent to the position of the initial operation parameter in the sampling matrix;

[0019] Determine the candidate adjustment schemes corresponding to each candidate operating parameter;

[0020] Based on the initial adjustment scheme, the scheme parameters of each candidate adjustment scheme are calculated;

[0021] The global sensitivity data for each candidate adjustment scheme is calculated;

[0022] Based on the scheme parameters of each candidate adjustment scheme and the global sensitivity data, each candidate adjustment scheme is updated to obtain the updated candidate adjustment scheme.

[0023] The device efficiency values ​​of each updated candidate regulation scheme are calculated;

[0024] From the initial adjustment scheme and each updated candidate adjustment scheme, the initial adjustment scheme or the updated candidate adjustment scheme corresponding to the largest device efficiency value is determined as the optimal adjustment scheme.

[0025] In one embodiment of this implementation, the scheme parameters include at least distance, gravity, and velocity values. The calculation of scheme parameters for each candidate adjustment scheme based on the initial adjustment scheme includes:

[0026] The distance between each candidate adjustment scheme and the initial adjustment scheme is calculated.

[0027] Based on the distance value and the first random number, the gravitational force between each candidate adjustment scheme and the initial adjustment scheme is calculated;

[0028] Based on the distance value, the speed value of each candidate adjustment scheme is calculated.

[0029] In one embodiment of this implementation, the formula for calculating the global sensitivity data of the candidate adjustment scheme is:

[0030]

[0031] Δ=L / 2(LW)

[0032] Wherein, γ represents the global sensitivity data, r represents the number of samples for the k-th influencing factor, μ represents the average basic effect of the sampled operating parameters, and f(x) represents the device efficiency value, X W X2, ... X k This represents the candidate adjustment data corresponding to each operating parameter included in the candidate adjustment scheme, and L represents the number of values ​​evenly distributed across the range of each candidate adjustment data.

[0033] In one embodiment of this implementation, updating each candidate adjustment scheme based on the scheme parameters of each candidate adjustment scheme and the global sensitivity data to obtain an updated candidate adjustment scheme includes:

[0034] Randomly generate the current random number and randomly select the first random candidate adjustment scheme and the second random candidate adjustment scheme from the candidate adjustment schemes;

[0035] If the first random number is greater than the current random number, then each candidate adjustment scheme is updated based on the first random candidate adjustment scheme, the second random candidate adjustment scheme, and the initial adjustment scheme to obtain the first candidate adjustment scheme;

[0036] If the first random number is less than or equal to the current random number, the candidate adjustment schemes are sorted in descending order according to the global sensitivity data to obtain an update sequence of candidate adjustment schemes. Based on the initial adjustment scheme, the gravity value, and the velocity value, the candidate adjustment schemes in the update sequence are updated sequentially to obtain the second candidate adjustment scheme.

[0037] The updated candidate adjustment scheme is obtained by calculating the first candidate adjustment scheme, the second candidate adjustment scheme, and the unupdated candidate adjustment scheme based on the target algorithm.

[0038] In one embodiment of this implementation, the updated candidate adjustment scheme is calculated based on the target algorithm for the first candidate adjustment scheme / second candidate adjustment scheme and the unupdated candidate adjustment scheme, and the formula is expressed as follows:

[0039]

[0040] in, This represents the updated candidate adjustment scheme. This represents the first candidate adjustment scheme / the second candidate adjustment scheme. This indicates the candidate adjustment scheme that has not been updated.

[0041] In a second aspect of the present invention, an operation optimization device for an electrolytic hydrogen storage device is provided, comprising:

[0042] Building blocks are used to construct multiphysics simulation models of electrolytic hydrogen storage devices;

[0043] The acquisition unit is used to acquire a sampling matrix containing operating parameters based on the multiphysics simulation model; wherein the operating parameters include at least the current, inlet gas velocity, inlet pressure, and inlet gas temperature in the multiphysics simulation model.

[0044] The first determining unit is used to determine the initial adjustment scheme of the multiphysics simulation model based on the sampling matrix; wherein the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter;

[0045] The second determining unit is used to determine the optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme; wherein the optimal adjustment scheme includes adjustment data corresponding to each operating parameter;

[0046] The optimization unit is used to optimize the operating parameters in the multiphysics simulation model based on the optimal adjustment scheme to obtain the optimized performance indicators of the electrolytic hydrogen storage device.

[0047] In a third aspect of the present invention, a computing device is provided, the computing device comprising: at least one processor, a memory, and an input / output unit; wherein the memory is used to store a computer program, and the processor is used to invoke the computer program stored in the memory to execute the method described in any one aspect.

[0048] In a fourth aspect of the present invention, a computer-readable storage medium is provided, comprising instructions which, when executed on a computer, cause the computer to perform the method described in any one of the first aspects.

[0049] According to the present invention, the operation optimization method, apparatus, medium, and computing device for an electrolytic hydrogen storage device can simulate the electrolytic hydrogen storage device to obtain a multiphysics simulation model. Based on the obtained multiphysics simulation model, operational parameters affecting the operating efficiency of the multiphysics simulation model can be obtained, resulting in a sampling matrix containing the operational parameters. An initial adjustment scheme for the multiphysics simulation model can be determined based on the sampling matrix. Then, by calculating the sampling matrix and the initial adjustment scheme, an optimal adjustment scheme can be determined. Based on this optimal adjustment scheme, the operational parameters in the multiphysics simulation model can be optimized to obtain optimized performance indicators of the electrolytic hydrogen storage device. This improves the operating efficiency of the multiphysics simulation model operating based on the optimized performance indicators of the electrolytic hydrogen storage device, and enables the electrolytic hydrogen storage device operating based on the optimized performance indicators to achieve optimal performance. Attached Figure Description

[0050] The above and other objects, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated in the drawings by way of example and not limitation, wherein:

[0051] Figure 1 This is a flowchart illustrating an operation optimization method for an electrolytic hydrogen storage device according to an embodiment of the present invention.

[0052] Figure 2 for Figure 1 A detailed flowchart of step S104;

[0053] Figure 3 This is a schematic diagram of the operation optimization device for an electrolytic hydrogen storage device provided in an embodiment of the present invention;

[0054] Figure 4 This is a schematic diagram of the structure of an electrolytic hydrogen storage device provided in an embodiment of the present invention;

[0055] Figure 5 A schematic diagram of the structure of a medium according to an embodiment of the present invention is shown.

[0056] Figure 6 A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown.

[0057] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts. Detailed Implementation

[0058] The principles and spirit of the invention will now be described with reference to several exemplary embodiments. It should be understood that these embodiments are given merely to enable those skilled in the art to better understand and implement the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided to make this disclosure more thorough and complete, and to fully convey the scope of this disclosure to those skilled in the art.

[0059] Those skilled in the art will recognize that embodiments of the present invention can be implemented as a system, apparatus, device, method, or computer program product. Therefore, this disclosure can be specifically implemented in the following forms: entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0060] According to an embodiment of the present invention, an operation optimization method, apparatus, medium, and computing device for an electrolytic hydrogen storage device are proposed.

[0061] It should be noted that the number of any elements in the accompanying drawings is for illustrative purposes only and not as a limitation, and any naming is for distinction only and has no limiting meaning.

[0062] The principles and spirit of the present invention will be explained in detail below with reference to several representative embodiments.

[0063] Exemplary methods

[0064] The following is for reference. Figure 1 , Figure 1 This is a schematic flowchart illustrating an operation optimization method for an electrolytic hydrogen storage device according to an embodiment of the present invention. It should be noted that the embodiments of the present invention can be applied to any applicable scenario.

[0065] Figure 1 The flowchart of the operation optimization method for an electrolytic hydrogen storage device provided in an embodiment of the present invention, shown below, includes:

[0066] Step S101: Construct a multiphysics simulation model of the electrolytic hydrogen storage device.

[0067] In this embodiment of the invention, the multiphysics simulation model can be built using the finite element method and can be completed using COMSOL multiphysics simulation software.

[0068] In this embodiment of the invention, the electrolytic hydrogen storage device includes a high-temperature proton exchange membrane electrolyzer and a metal solid hydrogen storage unit. The multiphysics simulation model includes an electrochemical reaction module, a chemical reaction module, a mass transfer module, a momentum transfer module, a heat transfer module of the high-temperature proton exchange membrane electrolyzer, and a heat transfer module of the metal solid hydrogen storage unit.

[0069] Among them, the electrochemistry module is responsible for calculating the reaction rate of water electrolysis to produce hydrogen in the electrolytic hydrogen storage device; the chemistry module is responsible for calculating the adsorption / desorption rate of the metal solid hydrogen storage unit in the electrolytic hydrogen storage device; the mass transfer module is responsible for calculating the mass transfer of gas in the electrolytic hydrogen storage device; the heat transfer module of the high-temperature proton exchange membrane electrolyzer is responsible for calculating the temperature of the high-temperature proton exchange membrane fuel cell; and the heat transfer module of the metal solid hydrogen storage unit is responsible for calculating the temperature of the metal solid hydrogen storage unit.

[0070] In this embodiment of the invention, the electrochemical reaction module can be constructed using the Butler–Volme equation, represented as follows:

[0071]

[0072] Where i represents the operating current density, α is the transfer coefficient, i0 is the exchange current density, n is the number of electrons transferred in the electrolysis reaction, and η act The activation overpotential is given by F, which is the Faraday constant, and T, which represents the temperature. R represents the gas constant, also known as the universal gas constant, with a value of 8.314 J / (mol·K).

[0073] In this embodiment of the invention, the chemical reaction module can be calculated using COMSOL commercial software, and can be represented as follows:

[0074]

[0075] Where C represents the kinetic constant, E represents the activation energy, p represents the equilibrium pressure, and T represents the temperature. ρ is the saturation density of the solid material. s It is the density of the solid material when all the metal hydrides are converted into alloys and hydrogen. eqa This represents the equilibrium pressure, specifically the equilibrium pressure between the metal hydride and hydrogen gas. In solid-state hydrogen storage, it is the pressure at which hydrogen gas reaches equilibrium with the storage material under certain temperature and pressure conditions. This represents the actual pressure of hydrogen gas, that is, the current pressure of hydrogen gas in the system. The difference between this pressure and the equilibrium pressure determines whether the reaction proceeds in the direction of hydrogen absorption or hydrogen release. s This represents the hydrogen storage capacity of a solid-state material, specifically the saturation level of hydrogen storage in a metal hydride. This value is closely related to the saturation density of the hydrogen storage material and the current state of the hydride.

[0076] The quality transmission module is represented as:

[0077]

[0078] Where, Ni Defined as quality transfer quantity, y i The mole fraction of the operating parameter i, B0 is the permeability coefficient, and μ represents the gas viscosity. The effective diffusion coefficient of the operating parameter i is represented by p, where p represents pressure and T represents temperature.

[0079] The momentum transfer module is represented as:

[0080]

[0081] Where ρ represents the density of the porous medium in the electrolytic cell, and u represents the flow velocity.

[0082] The heat transfer module is represented as:

[0083]

[0084] Among them, C p λ represents the heat capacity of the fluid. eff Q represents the effective thermal conductivity, Q represents the heat source of the reaction (which can be heat from an electrochemical reaction), and T represents the temperature.

[0085] In this embodiment of the invention, the heat transfer module can be represented as:

[0086]

[0087] Among them, (ρC p ) e k represents the effective heat capacity. e C represents thermal conductivity. p，g ρ represents the isobaric heat capacity of a gas. g C represents the density of a gas. p，s ρ represents the heat capacity of a metal. s Let represent the metal density, v represent the hydrogen flux, m represent the hydrogen mass reaction rate, and ΔH represent the enthalpy change.

[0088] Step S102: Obtain a sampling matrix containing operating parameters based on the multiphysics simulation model.

[0089] In this embodiment of the invention, the operating parameters include at least the current, inlet gas velocity, inlet pressure, and inlet gas temperature in the multiphysics simulation model.

[0090] In this embodiment of the invention, the Latin Hypercube Sampling (LHS) method can be used to construct a sampling matrix to ensure that the sampling points of key operating parameters such as current, inlet gas flow rate, inlet pressure, and inlet gas temperature fully cover the entire parameter space, thereby obtaining the sampling matrix. This strategy enables efficient exploration of the parameter space, providing a solid data foundation for the operational optimization of the electrolytic hydrogen storage device.

[0091] Step S103: Based on the sampling matrix, determine the initial adjustment scheme of the multiphysics simulation model.

[0092] In this embodiment of the invention, the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter. When the multiphysics simulation model is initially constructed, the initial adjustment data of each operating parameter needs to be set in advance. Therefore, the initial adjustment scheme includes the initial adjustment data corresponding to each operating parameter.

[0093] As an optional implementation, step S103, based on the sampling matrix, determines the initial adjustment scheme of the multiphysics simulation model in the following ways:

[0094] Initial operating parameters are randomly determined from the sampling matrix;

[0095] Based on the initial operating parameters and the preset standardized operating parameters, multiple candidate initial adjustment schemes are determined;

[0096] Calculate the device efficiency value for each candidate initial adjustment scheme;

[0097] The candidate initial adjustment scheme with the highest device efficiency value is determined as the initial adjustment scheme of the multiphysics simulation model.

[0098] In this embodiment of the invention, there can be multiple standardized operating parameters corresponding to each operating parameter, and the value of the standardized operating parameter corresponding to each operating parameter exists in a preset value range. All the preset standardized operating parameters are within the preset value range.

[0099] Step S104: Based on the sampling matrix and the initial adjustment scheme, determine the optimal adjustment scheme; wherein the optimal adjustment scheme includes adjustment data corresponding to each operating parameter.

[0100] Please refer to the following: Figure 2 , Figure 2 This is a detailed flowchart of step S104;

[0101] Step S201: Obtain candidate operation parameters corresponding to the initial operation parameters from the sampling matrix.

[0102] In this embodiment of the invention, the position of the candidate operation parameter in the sampling matrix is ​​adjacent to the position of the initial operation parameter in the sampling matrix.

[0103] Step S202: Determine the candidate adjustment schemes corresponding to each candidate operating parameter.

[0104] Step S203: Based on the initial adjustment scheme, calculate the scheme parameters for each candidate adjustment scheme.

[0105] In this embodiment of the invention, the scheme parameters include at least distance, gravity, and velocity.

[0106] As an optional implementation, step S203, based on the initial adjustment scheme, may calculate the scheme parameters of each candidate adjustment scheme in the following ways:

[0107] The distance between each candidate adjustment scheme and the initial adjustment scheme is calculated.

[0108] Based on the distance value and the first random number, the gravitational force between each candidate adjustment scheme and the initial adjustment scheme is calculated;

[0109] Based on the distance value, the speed value of each candidate adjustment scheme is calculated.

[0110] In this embodiment of the invention, the distance value can be Euclidean distance, and the distance value R i The formula for calculating (t) can be:

[0111]

[0112] Among them, X S (t) represents the initial adjustment scheme, X i (t) represents the candidate adjustment scheme.

[0113] In this embodiment of the invention, the gravity value The calculation formula can be:

[0114]

[0115] Among them, M s With m i Representing X S (t) and X i The mass of (t), and Representing M s With m i The normalized value of , where ε represents a very small positive number, e iR is the planetary orbital eccentricity (a value between 0 and 1), and r1 is the first random number between 0 and 1, used to provide more variation for the gravity value during the optimization process. It is R i The distance-based normalized value of (t) highlights candidate adjustment schemes with larger distances, which can be used to further optimize schemes that are far from the optimal solution.

[0116] Among them, mass M s With m i Defined by the following formula:

[0117]

[0118] in:

[0119]

[0120] Where μ(t) is a function that decreases exponentially with time (t) to control the search accuracy, and it is expressed as follows:

[0121]

[0122] Where α is a constant, μ0 is the initial value, and t and T are constants. max These are the current and maximum iteration counts of the operating parameters in a multiphysics simulation model.

[0123] In this embodiment of the invention, the speed value V i The formula for calculating (t) can be:

[0124]

[0125] Where r3 and r4 represent random numbers between 0 and 1, and Represents a random vector between 0 and 1. as well as Representing the candidate adjustment scheme, R i-norm (t) represents R i The direct normalized value of (t) reflects the distance between the candidate adjustment scheme and the optimal solution at the current time, and is defined as follows:

[0126]

[0127] In addition, intermediate variables U2 is expressed as follows:

[0128]

[0129] Among them, a i(t) Let represent the semi-major axis of the elliptical orbit of object i at time t.

[0130] Step S204: Calculate the global sensitivity data for each candidate regulation scheme.

[0131] In this embodiment of the invention, the formula for calculating the global sensitivity data of the candidate adjustment scheme is as follows:

[0132]

[0133] Δ=L / 2(L-1)

[0134] Wherein, γ represents the global sensitivity data, r represents the number of samples for the k-th influencing factor, μ represents the average basic effect of the sampled operating parameters, and f(x) represents the device efficiency value, X1, X2, ..., X... k This represents the candidate adjustment data corresponding to each operating parameter included in the candidate adjustment scheme, and L represents the number of values ​​evenly distributed across the range of each candidate adjustment data.

[0135] Step S205: Based on the scheme parameters of each candidate adjustment scheme and the global sensitivity data, update each candidate adjustment scheme to obtain the updated candidate adjustment scheme.

[0136] As an optional implementation, step S205 updates each candidate adjustment scheme based on the scheme parameters of each candidate adjustment scheme and the global sensitivity data, and the updated candidate adjustment scheme can be obtained in the following ways:

[0137] Randomly generate the current random number and randomly select the first random candidate adjustment scheme and the second random candidate adjustment scheme from the candidate adjustment schemes;

[0138] If the first random number is greater than the current random number, then each candidate adjustment scheme is updated based on the first random candidate adjustment scheme, the second random candidate adjustment scheme, and the initial adjustment scheme to obtain the first candidate adjustment scheme;

[0139] If the first random number is less than or equal to the current random number, the candidate adjustment schemes are sorted in descending order according to the global sensitivity data to obtain an update sequence of candidate adjustment schemes. Based on the initial adjustment scheme, the gravity value, and the velocity value, the candidate adjustment schemes in the update sequence are updated sequentially to obtain the second candidate adjustment scheme.

[0140] The updated candidate adjustment scheme is obtained by calculating the first candidate adjustment scheme, the second candidate adjustment scheme, and the unupdated candidate adjustment scheme based on the target algorithm.

[0141] In this embodiment of the invention, based on the first random candidate adjustment scheme, the second random candidate adjustment scheme, and the initial adjustment scheme, each candidate adjustment scheme is updated to obtain the first candidate adjustment scheme. The formula can be:

[0142]

[0143] Where h is the adaptive factor, defined as follows:

[0144]

[0145] Where r is the current random number generated based on a normal distribution, and η is a linear decreasing factor from 1 to -2.

[0146] In this embodiment of the invention, based on the initial adjustment scheme, the gravity value, and the velocity value, the candidate adjustment schemes in the update sequence are updated sequentially to obtain a second candidate adjustment scheme. The formula can be:

[0147]

[0148] In this embodiment of the invention, the updated candidate adjustment scheme is calculated based on the target algorithm for the first candidate adjustment scheme / second candidate adjustment scheme and the unupdated candidate adjustment scheme, and the formula is expressed as follows:

[0149]

[0150] in, This represents the updated candidate adjustment scheme. This represents the first candidate adjustment scheme / the second candidate adjustment scheme. This indicates the candidate adjustment scheme that has not been updated.

[0151] Step S206: Calculate the device efficiency value of each updated candidate adjustment scheme.

[0152] Step S207: From the initial adjustment scheme and the various updated candidate adjustment schemes, determine the initial adjustment scheme or the updated candidate adjustment scheme corresponding to the largest device efficiency value as the optimal adjustment scheme.

[0153] like Figure 2 As shown, the global sensitivity data of parameters near the operating parameters of the electrolytic hydrogen storage device are calculated each time. When adjusting the optimal parameters, the parameters with high global sensitivity data are adjusted first, and the fitness is set to the optimal efficiency of the electrolytic hydrogen storage device.

[0154] These specific improvements aim to optimize the algorithm's search strategy to more effectively explore the parameter space and accurately locate the optimal solution. Through these improvements, the present invention can more quickly adjust the operating parameters of the electrolytic hydrogen storage device, thereby achieving higher operating efficiency.

[0155] Step S105: Based on the optimal adjustment scheme, optimize the operating parameters in the multiphysics simulation model to obtain the optimized performance indicators of the electrolytic hydrogen storage device.

[0156] After step S105, the current iteration number of the operating parameters in the multiphysics simulation model can be judged. If the current iteration number reaches the preset maximum iteration number, the iteration of the operating parameters in the multiphysics simulation model can be ended. If the current iteration number does not reach the preset maximum iteration number, the optimal adjustment scheme can be used as the initial adjustment scheme, and steps S104 to S105 can continue to be executed.

[0157] In addition, the device efficiency value of the previous optimal adjustment scheme can be obtained, and the difference between the device efficiency value of the current optimal adjustment scheme and the previous device efficiency value can be calculated. If the difference is less than a preset threshold, the iteration of the operating parameters in the multiphysics simulation model can be ended; if the difference is greater than or equal to the preset threshold, the optimal adjustment scheme can be used as the initial adjustment scheme, and steps S104 to S105 can continue to be executed.

[0158] This invention enables the simulation of an electrolytic hydrogen storage device to obtain a multiphysics simulation model. Based on this model, operational parameters affecting the model's efficiency can be identified, resulting in a sampling matrix containing these parameters. An initial adjustment scheme for the model can be determined using this matrix. Furthermore, an optimal adjustment scheme can be calculated using the sampling matrix and the initial scheme. Based on this optimal scheme, the operational parameters in the multiphysics simulation model can be optimized, leading to improved performance indicators for the electrolytic hydrogen storage device. This improved performance improves the efficiency of the multiphysics simulation model and allows the electrolytic hydrogen storage device to achieve optimal performance.

[0159] Exemplary device

[0160] After introducing the method of exemplary embodiments of the present invention, the following references are made. Figure 3 An operation optimization device for an electrolytic hydrogen storage device according to an exemplary embodiment of the present invention will be described, the device comprising:

[0161] Building unit 301 is used to build a multiphysics simulation model of an electrolytic hydrogen storage device;

[0162] The acquisition unit 302 is used to acquire a sampling matrix containing operating parameters based on the multiphysics simulation model; wherein the operating parameters include at least the current, inlet gas flow rate, inlet pressure and inlet gas temperature in the multiphysics simulation model;

[0163] The first determining unit 303 is used to determine the initial adjustment scheme of the multiphysics simulation model based on the sampling matrix; wherein the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter;

[0164] The second determining unit 304 is used to determine the optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme; wherein the optimal adjustment scheme includes adjustment data corresponding to each operating parameter;

[0165] The optimization unit 305 is used to optimize the operating parameters in the multiphysics simulation model based on the optimal adjustment scheme to obtain the optimized performance indicators of the electrolytic hydrogen storage device.

[0166] This invention enables the simulation of an electrolytic hydrogen storage device to obtain a multiphysics simulation model. Based on this model, operational parameters affecting the model's efficiency can be identified, resulting in a sampling matrix containing these parameters. An initial adjustment scheme for the model can be determined using this matrix. Furthermore, an optimal adjustment scheme can be calculated using the sampling matrix and the initial scheme. Based on this optimal scheme, the operational parameters in the multiphysics simulation model can be optimized, leading to improved performance indicators for the electrolytic hydrogen storage device. This improved performance improves the efficiency of the multiphysics simulation model and allows the electrolytic hydrogen storage device to achieve optimal performance.

[0167] In addition, refer to Figure 4 An exemplary embodiment of the present invention provides an electrolytic hydrogen storage device, which includes a high-temperature proton exchange membrane electrolyzer, a metal solid hydrogen storage unit, an evaporator, a first heater, a second heater, a first circulation pump, a second circulation pump, a separation device, and an evacuation device, wherein:

[0168] The high-temperature proton exchange membrane electrolyzer includes an anode, a cathode, and an electrolyte. The high-temperature proton exchange membrane electrolyzer is used to electrolyze water vapor to obtain hydrogen.

[0169] The evaporator is used to evaporate the input water into water vapor and input the water vapor into the first heater;

[0170] The first heater is used to heat the water vapor input from the first circulating pump and the evaporator, and to input the heated water vapor to the anode;

[0171] The anode is used to input the oxygen obtained from the electrolysis of water vapor and the unelectrolyzed water vapor into the separation device;

[0172] The separation device is used to separate the oxygen from the unelectrolyzed water vapor, and to input the oxygen into the venting device and the unelectrolyzed water vapor into the first circulating pump;

[0173] The venting device is used to release the oxygen;

[0174] The second heater is used to heat the hydrogen gas input by the second circulation pump and input the heated hydrogen gas into the cathode;

[0175] The cathode is used to input hydrogen gas after the electrolysis process is completed into the second circulation pump;

[0176] The second circulation pump is used to input a portion of hydrogen gas into the second heater and another portion of hydrogen gas into the metal solid hydrogen storage unit;

[0177] The metal solid hydrogen storage unit is used to store the received hydrogen gas.

[0178] In this embodiment of the invention, both the cathode and anode of the high-temperature proton exchange membrane electrolyzer adopt a tail gas recirculation structure design. Water vapor with a temperature range of 120°C to 200°C is introduced on the anode side, while hydrogen generated during electrolysis is introduced as a carrier gas on the cathode side. This structural design aims to efficiently recover unreacted reactants and thermal energy from the tail gas, thereby significantly improving the energy efficiency of the hydrogen electrolysis storage device.

[0179] The solid-state hydrogen storage unit utilizes a LaNi5 alloy and employs solid-state hydrogen storage technology, which enables high-density hydrogen storage within a limited space. This design not only optimizes the volumetric efficiency of the electrolytic hydrogen storage device but also enhances its overall hydrogen storage capacity. Through these innovative designs, the electrolytic hydrogen storage device of this invention demonstrates significant technological advantages in improving energy efficiency and hydrogen storage density.

[0180] Exemplary media

[0181] After introducing the methods and apparatus of exemplary embodiments of the present invention, the following references are made. Figure 5A computer-readable storage medium according to exemplary embodiments of the present invention will be described, please refer to... Figure 5 The computer-readable storage medium shown is an optical disc 50, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it implements the steps described in the above method embodiments. For example, it constructs a multiphysics simulation model of an electrolytic hydrogen storage device; obtains a sampling matrix containing operating parameters based on the multiphysics simulation model; wherein the operating parameters include at least the current, inlet gas flow rate, inlet pressure, and inlet gas temperature in the multiphysics simulation model; determines an initial adjustment scheme for the multiphysics simulation model based on the sampling matrix; wherein the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter; determines an optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme; wherein the optimal adjustment scheme includes adjustment data corresponding to each operating parameter; optimizes the operating parameters in the multiphysics simulation model based on the optimal adjustment scheme to obtain the optimized performance indicators of the electrolytic hydrogen storage device; the specific implementation methods of each step will not be repeated here.

[0182] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0183] Exemplary computing device

[0184] After introducing the methods, apparatus, and media of exemplary embodiments of the present invention, the following references are made. Figure 6 A computing device for optimizing the operation of an electrolytic hydrogen storage device according to an exemplary embodiment of the present invention.

[0185] Figure 6 A block diagram is shown of an exemplary computing device 60 suitable for implementing embodiments of the present invention. The computing device 60 may be a computer system or a server. Figure 6 The computing device 60 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0186] like Figure 6 As shown, the components of computing device 60 may include, but are not limited to: one or more processors or processing units 601, system memory 602, and bus 603 connecting different system components (including system memory 602 and processing unit 601).

[0187] The computing device 60 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 60, including volatile and non-volatile media, removable and non-removable media.

[0188] System memory 602 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 6021 and / or cache memory 6022. Computing device 60 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 6023 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 6 Not shown in the image (usually referred to as a "hard drive"). Although not shown in Figure 6 The diagram illustrates that disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) can be provided. In these cases, each drive can be connected to bus 603 via one or more data media interfaces. System memory 602 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0189] A program / utility 6025 having a set (at least one) of program modules 6024 may be stored, for example, in system memory 602, and such program modules 6024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment. Program modules 6024 typically perform the functions and / or methods described in the embodiments of the present invention.

[0190] The computing device 60 can also communicate with one or more external devices 604 (such as a keyboard, pointing device, display, etc.). This communication can be performed via the input / output (I / O) interface 605. Furthermore, the computing device 60 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 606. Figure 6 As shown, network adapter 606 communicates with other modules of computing device 60 (such as processing unit 601) via bus 603. It should be understood that, although... Figure 6 Other hardware and / or software modules may be used in conjunction with computing device 60, as not shown in the diagram.

[0191] The processing unit 601 executes various functional applications and data processing by running programs stored in the system memory 602. For example, it constructs a multiphysics simulation model of the electrolytic hydrogen storage device; obtains a sampling matrix containing operating parameters based on the multiphysics simulation model; wherein the operating parameters include at least the current, inlet gas flow rate, inlet pressure, and inlet gas temperature in the multiphysics simulation model; determines an initial adjustment scheme for the multiphysics simulation model based on the sampling matrix; wherein the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter; determines an optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme; wherein the optimal adjustment scheme includes adjustment data corresponding to each operating parameter; and optimizes the operating parameters in the multiphysics simulation model based on the optimal adjustment scheme to obtain the optimized performance indicators of the electrolytic hydrogen storage device. The specific implementation methods of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules of the operation optimization device for the electrolytic hydrogen storage device are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0192] In the description of this invention, it should be noted that the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0193] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0194] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0195] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0196] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0197] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0198] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0199] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

Claims

1. A method for optimizing the operation of an electrolytic hydrogen storage device, characterized in that, include: Construct a multiphysics simulation model for an electrolytic hydrogen storage device; A sampling matrix containing operating parameters is obtained based on the multiphysics simulation model; wherein, the operating parameters include at least the current, inlet gas velocity, inlet pressure, and inlet gas temperature in the multiphysics simulation model; Based on the sampling matrix, an initial adjustment scheme for the multiphysics simulation model is determined; wherein, the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter; Based on the sampling matrix and the initial adjustment scheme, an optimal adjustment scheme is determined; wherein, the optimal adjustment scheme includes adjustment data corresponding to each operating parameter; Based on the optimal adjustment scheme, the operating parameters in the multiphysics simulation model are optimized to obtain the optimized performance indicators of the electrolytic hydrogen storage device. The step of determining the initial adjustment scheme of the multiphysics simulation model based on the sampling matrix includes: Initial operating parameters are randomly determined from the sampling matrix; Based on the initial operating parameters and the preset standardized operating parameters, multiple candidate initial adjustment schemes are determined; Calculate the device efficiency value for each candidate initial adjustment scheme; The candidate initial adjustment scheme with the highest device efficiency value is determined as the initial adjustment scheme of the multiphysics simulation model; The step of determining the optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme includes: Candidate operation parameters corresponding to the initial operation parameters are obtained from the sampling matrix; wherein the position of the candidate operation parameter in the sampling matrix is ​​adjacent to the position of the initial operation parameter in the sampling matrix; Determine the candidate adjustment schemes corresponding to each candidate operating parameter; Based on the initial adjustment scheme, the scheme parameters of each candidate adjustment scheme are calculated; The global sensitivity data for each candidate adjustment scheme is calculated; Based on the scheme parameters of each candidate adjustment scheme and the global sensitivity data, each candidate adjustment scheme is updated to obtain the updated candidate adjustment scheme. The device efficiency values ​​of each updated candidate regulation scheme are calculated; From the initial adjustment scheme and each updated candidate adjustment scheme, the initial adjustment scheme or the updated candidate adjustment scheme corresponding to the largest device efficiency value is determined as the optimal adjustment scheme.

2. The operation optimization method for the electrolytic hydrogen storage device according to claim 1, characterized in that, The scheme parameters include at least distance, gravity, and velocity values. The scheme parameters for each candidate adjustment scheme, calculated based on the initial adjustment scheme, include: The distance between each candidate adjustment scheme and the initial adjustment scheme is calculated. Based on the distance value and the first random number, the gravitational force between each candidate adjustment scheme and the initial adjustment scheme is calculated; Based on the distance value, the speed value of each candidate adjustment scheme is calculated.

3. The operation optimization method for the electrolytic hydrogen storage device according to claim 2, characterized in that, The step of updating each candidate adjustment scheme based on the scheme parameters of each candidate adjustment scheme and the global sensitivity data to obtain an updated candidate adjustment scheme includes: Randomly generate the current random number and randomly select the first random candidate adjustment scheme and the second random candidate adjustment scheme from the candidate adjustment schemes; If the first random number is greater than the current random number, then each candidate adjustment scheme is updated based on the first random candidate adjustment scheme, the second random candidate adjustment scheme, and the initial adjustment scheme to obtain the first candidate adjustment scheme; If the first random number is less than or equal to the current random number, the candidate adjustment schemes are sorted in descending order according to the global sensitivity data to obtain an update sequence of candidate adjustment schemes. Based on the initial adjustment scheme, the gravity value, and the velocity value, the candidate adjustment schemes in the update sequence are updated sequentially to obtain the second candidate adjustment scheme. The updated candidate adjustment scheme is obtained by calculating the first candidate adjustment scheme, the second candidate adjustment scheme, and the unupdated candidate adjustment scheme based on the target algorithm.

4. The operation optimization method for the electrolytic hydrogen storage device according to claim 3, characterized in that, Based on the target algorithm, the first candidate adjustment scheme / second candidate adjustment scheme and the unupdated candidate adjustment scheme are calculated, and the updated candidate adjustment scheme is expressed by the following formula: ； in, This represents the updated candidate adjustment scheme. This represents the first candidate adjustment scheme / the second candidate adjustment scheme. This indicates the candidate adjustment scheme that has not been updated.

5. An operation optimization device for an electrolytic hydrogen storage unit, characterized in that, include: Building blocks are used to construct multiphysics simulation models of electrolytic hydrogen storage devices; The acquisition unit is used to acquire a sampling matrix containing operating parameters based on the multiphysics simulation model; wherein the operating parameters include at least the current, inlet gas velocity, inlet pressure, and inlet gas temperature in the multiphysics simulation model. The first determining unit is used to determine the initial adjustment scheme of the multiphysics simulation model based on the sampling matrix; wherein the initial adjustment scheme includes initial adjustment data corresponding to each operating parameter; The second determining unit is used to determine the optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme; wherein the optimal adjustment scheme includes adjustment data corresponding to each operating parameter; An optimization unit is used to optimize the operating parameters in the multiphysics simulation model based on the optimal adjustment scheme to obtain the optimized performance indicators of the electrolytic hydrogen storage device. The step of determining the initial adjustment scheme of the multiphysics simulation model based on the sampling matrix includes: Initial operating parameters are randomly determined from the sampling matrix; Based on the initial operating parameters and the preset standardized operating parameters, multiple candidate initial adjustment schemes are determined; Calculate the device efficiency value for each candidate initial adjustment scheme; The candidate initial adjustment scheme with the highest device efficiency value is determined as the initial adjustment scheme of the multiphysics simulation model; The step of determining the optimal adjustment scheme based on the sampling matrix and the initial adjustment scheme includes: Candidate operation parameters corresponding to the initial operation parameters are obtained from the sampling matrix; wherein the position of the candidate operation parameter in the sampling matrix is ​​adjacent to the position of the initial operation parameter in the sampling matrix; Determine the candidate adjustment schemes corresponding to each candidate operating parameter; Based on the initial adjustment scheme, the scheme parameters of each candidate adjustment scheme are calculated; The global sensitivity data for each candidate adjustment scheme is calculated; Based on the scheme parameters of each candidate adjustment scheme and the global sensitivity data, each candidate adjustment scheme is updated to obtain the updated candidate adjustment scheme. The device efficiency values ​​of each updated candidate regulation scheme are calculated; From the initial adjustment scheme and each updated candidate adjustment scheme, the initial adjustment scheme or the updated candidate adjustment scheme corresponding to the largest device efficiency value is determined as the optimal adjustment scheme.

6. A computing device, characterized in that, The computing device includes: At least one processor, memory, and input / output unit; The memory is used to store computer programs, and the processor is used to call the computer programs stored in the memory to execute the method as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, It includes instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1 to 4.

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