Mass and heat transfer optimization design method and device for solid hydrogen storage system

Abstract

The invention provides a mass and heat transfer optimization design method and device for a solid hydrogen storage system, and relates to the technical field of hydrogen energy storage. The method comprises the steps that to-be-optimized parameters in the solid hydrogen storage system are obtained, the solid hydrogen storage system comprises a plurality of tank bodies and a plurality of baffle plates, and the to-be-optimized parameters comprise staggered setting parameters corresponding to the tank bodies and structural arrangement parameters corresponding to the baffle plates; according to the to-be-optimized parameters, an adjustment decision variable corresponding to the solid hydrogen storage system is constructed; acquiring mass and heat transfer performance indexes in the solid hydrogen storage system, wherein the mass and heat transfer performance indexes comprise a temperature distribution index, a local overheating index, a hydrogen flow uniformity index and an absorption and desorption rate index; a decision variable is adjusted through a Newton-Raphson optimization algorithm, then the mass and heat transfer performance index is adjusted, a parameter configuration scheme corresponding to the solid hydrogen storage system is optimized, and the parameter configuration scheme comprises a tank body structure arrangement scheme and a baffle plate structure arrangement scheme; and the multiple tank bodies and the multiple baffle plates are optimally arranged according to the parameter configuration scheme, so that mass and heat transfer optimization design in the solid hydrogen storage system is completed. The problem that a solid hydrogen storage system designed through experience and a simple physical model is low in mass transfer and heat transfer efficiency in actual operation is solved.

Description

Technical Field

[0001] The present application relates to the field of hydrogen energy storage technology, and in particular to a mass transfer and heat transfer optimization design method and device for a solid-state hydrogen storage system. Background Art

[0002] As a clean and efficient energy source, hydrogen energy has broad application prospects in transportation, industry, and energy storage. Solid-state hydrogen storage system is a technology that uses metal hydrides or other solid materials to adsorb hydrogen to achieve high-density hydrogen storage. Compared with traditional high-pressure gaseous hydrogen storage and liquid hydrogen storage, solid-state hydrogen storage has higher safety and hydrogen storage density. However, in practical applications, solid-state hydrogen storage systems face problems such as low mass and heat transfer efficiency and slow hydrogen absorption and desorption rates, which seriously restrict their large-scale application and promotion.

[0003] In the prior art, the mass transfer and heat transfer design of solid-state hydrogen storage systems mainly relies on experience and simple physical models. However, only using the above method, it is difficult to accurately describe the multiphase flow and heat transfer process in the complex solid-state hydrogen storage system because the nonlinear effects and multi-factor coupling influences within the solid-state hydrogen storage system cannot be fully considered. As a result, the designed solid-state hydrogen storage system exhibits low mass transfer and heat transfer efficiency in actual operation.

[0004] Therefore, there is an urgent need for a mass transfer and heat transfer optimization design method and device for a solid-state hydrogen storage system. Summary of the invention

[0005] The present application provides a mass transfer and heat transfer optimization design method and device for a solid-state hydrogen storage system, which solves the problem that a hydrogen storage system designed through experience and a simple physical model exhibits low mass transfer and heat transfer efficiency in actual operation.

[0006] In a first aspect of the present application, a mass transfer and heat transfer optimization design method for a solid-state hydrogen storage system is provided, the method comprising: obtaining parameters to be optimized in the solid-state hydrogen storage system, the solid-state hydrogen storage system comprising a plurality of tanks and a plurality of baffles, the parameters to be optimized comprising staggered setting parameters corresponding to each tank and structural layout parameters corresponding to each baffle; constructing adjustment decision variables corresponding to the solid-state hydrogen storage system according to the parameters to be optimized; obtaining mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, the mass transfer and heat transfer performance indicators comprising a temperature distribution index, a local overheating index, a hydrogen flow uniformity index, and an absorption and release rate index; adjusting the decision variables through a Newton-Raphson optimization algorithm, and then adjusting the mass transfer and heat transfer performance indicators, optimizing a parameter configuration scheme corresponding to the solid-state hydrogen storage system, the parameter configuration scheme comprising a tank structure layout scheme and a baffle structure layout scheme; optimizing the layout of the plurality of tanks and the plurality of baffles according to the parameter configuration scheme to complete the mass transfer and heat transfer optimization design in the solid-state hydrogen storage system.

[0007] Optionally, constructing adjustment decision variables corresponding to the solid-state hydrogen storage system specifically includes: constructing a staggered arrangement corresponding to multiple tank bodies and a structural arrangement corresponding to multiple baffles, the staggered arrangement includes a center distance arrangement between each adjacent tank body and an arrangement angle arrangement of each tank body, the structural arrangement includes an area arrangement of each baffle, a thickness arrangement of each baffle, a hole size arrangement of each baffle and an angle arrangement of each baffle; according to the staggered arrangement and the structural arrangement, constructing the adjustment decision variables corresponding to the solid-state hydrogen storage system.

[0008] Optionally, the staggered setting mode and the structural arrangement mode are used as adjustment decision variables corresponding to the solid-state hydrogen storage system, specifically including: constructing the adjustment decision variables through the following formula;

[0009]

[0010] Among them, x is the adjustment decision variable, D ij is the center distance setting method between the i-th and j-th tanks, θ i is the arrangement angle setting method of the i-th tank, A i is the area layout of the i-th baffle, H i is the thickness arrangement of the i-th baffle, P i The arrangement of the hole sizes of the i-th baffle, α i is the angle arrangement of the i-th baffle.

[0011] Optionally, the mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system are obtained, specifically including: constructing mass transfer and heat transfer performance evaluation functions corresponding to each mass transfer and heat transfer performance indicator respectively, one mass transfer and heat transfer performance indicator corresponds to one mass transfer and heat transfer performance evaluation function, wherein the temperature distribution indicator corresponds to the temperature distribution evaluation function, the local overheating indicator corresponds to the local overheating evaluation function, the hydrogen flow uniformity indicator corresponds to the hydrogen flow uniformity evaluation function, and the absorption and release rate indicator corresponds to the absorption and release rate evaluation function; obtaining the evaluation weight coefficient corresponding to each mass transfer and heat transfer performance evaluation function, one mass transfer and heat transfer performance evaluation function corresponds to one evaluation weight coefficient; constructing the mass transfer and heat transfer performance indicator function corresponding to the solid-state hydrogen storage system through the mass transfer and heat transfer performance evaluation function and the evaluation weight coefficient, and obtaining the mass transfer and heat transfer performance indicator in the solid-state hydrogen storage system through the mass transfer and heat transfer performance indicator function.

[0012] Optionally, the mass transfer and heat transfer performance index function is obtained according to the following formula:

[0013] f=w1·f temp +w2·f hotspot +w3·f flow +w4·f rate ;

[0014] Among them, f is the mass transfer and heat transfer performance index function, w1-w4 are the evaluation weight coefficients corresponding to each mass transfer and heat transfer performance evaluation function, f temp is the temperature distribution evaluation function, f hotspot is the local overheating evaluation function, f flow is the hydrogen flow uniformity evaluation function, f rate is the absorption and release rate evaluation function.

[0015] Optionally, the iterative process of the Newton-Raphson optimization algorithm specifically includes: obtaining a random number corresponding to the iterative process, and determining whether the random number is greater than a preset threshold; if the random number is greater than the preset threshold, not updating the position of the decision vector; if the random number is less than or equal to the preset threshold, updating the position of the decision vector to obtain an updated position of the decision vector, and the iterative process specifically includes:

[0016]

[0017] Among them, x i,n The position of the decision vector for the i-th parameter configuration scheme during the n-th iteration; x i,n:1 The position of the decision vector for the i-th parameter configuration scheme during the n+1-th iteration process; The updated position of the decision vector for the i-th parameter configuration scheme during the n+1th iteration, r 10 is a random number and 0.6 is the preset threshold.

[0018] Optionally, according to the mass transfer and heat transfer simulation model, the decision variables are adjusted through the Newton-Raphson optimization algorithm, and then the mass transfer and heat transfer performance indicators are adjusted to optimize the parameter configuration scheme corresponding to the solid-state hydrogen storage system, specifically including: obtaining the current number of iterations of the iterative process and the preset number of iterations corresponding to the Newton-Raphson optimization algorithm; if it is confirmed that the current number of iterations is greater than the preset number of iterations, it is determined that the iterative process meets the convergence conditions, and the solution that meets the preset conditions in each iterative process is used as the parameter configuration scheme.

[0019] In a second aspect of the present application, a mass transfer and heat transfer optimization design device for a solid-state hydrogen storage system is provided, the device comprising a parameter acquisition module to be optimized and a mass transfer and heat transfer optimization design module, wherein:

[0020] The module for obtaining parameters to be optimized is used to obtain parameters to be optimized in the solid-state hydrogen storage system. The solid-state hydrogen storage system includes multiple tanks and multiple baffles. The parameters to be optimized include the staggered setting parameters corresponding to each tank and the structural layout parameters corresponding to each baffle.

[0021] The mass transfer and heat transfer optimization design module is used to construct the adjustment decision variables corresponding to the solid-state hydrogen storage system according to the parameters to be optimized; obtain the mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, and the mass transfer and heat transfer performance indicators include temperature distribution indicators, local overheating indicators, hydrogen flow uniformity indicators, and absorption and release rate indicators; adjust the decision variables through the Newton-Raphson optimization algorithm, and then adjust the mass transfer and heat transfer performance indicators to optimize the parameter configuration scheme corresponding to the solid-state hydrogen storage system, and the parameter configuration scheme includes a tank structure layout scheme and a baffle structure layout scheme; optimize the layout of multiple tanks and multiple baffles according to the parameter configuration scheme to complete the mass transfer and heat transfer optimization design in the solid-state hydrogen storage system.

[0022] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods described above.

[0023] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to perform any of the above methods.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0025] 1. Obtain the staggered setting parameters corresponding to each tank body and the structural layout parameters corresponding to each baffle in the solid-state hydrogen storage system, and use the staggered setting parameters and the structural layout parameters as parameters to be optimized, so as to construct the adjustment decision variables corresponding to the solid-state hydrogen storage system according to the parameters to be optimized, and then obtain the mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, the mass transfer and heat transfer performance indicators include temperature distribution indicators, local overheating indicators, hydrogen flow uniformity indicators and absorption and release rate indicators, and adjust the decision variables through the Newton-Raphson optimization algorithm, and then adjust the mass transfer and heat transfer performance indicators, and optimize the parameter configuration scheme corresponding to the solid-state hydrogen storage system, so as to optimize the arrangement of multiple tank bodies and multiple baffles according to the parameter configuration scheme, and then effectively improve the mass transfer and heat transfer efficiency of the solid-state hydrogen storage system design through the Newton-Raphson optimization algorithm.

[0026] 2. Construct a mass transfer and heat transfer simulation model, and simulate the mass transfer and heat transfer performance in the solid-state hydrogen storage system through the mass transfer and heat transfer simulation model, so as to obtain the mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, and accurately simulate the flow path and heat transfer process of hydrogen in the solid-state hydrogen storage system, so as to optimize the corresponding parameter configuration scheme of the solid-state hydrogen storage system through the Newton-Raphson optimization algorithm according to the simulation results.

[0027] 3. Through continuous iterative optimization using the Newton-Raphson optimization algorithm, the optimal parameter configuration of the solid-state hydrogen storage system is finally obtained, and the corresponding parameter configuration scheme of the hydrogen storage system is obtained, thereby effectively improving the mass transfer and heat transfer efficiency during the design of the solid-state hydrogen storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flow chart of a mass transfer and heat transfer optimization design method for a solid-state hydrogen storage system provided in an embodiment of the present application;

[0029] Figure 2 It is a module schematic diagram of a mass transfer and heat transfer optimization design device for a solid-state hydrogen storage system provided in an embodiment of the present application;

[0030] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0031] Explanation of the reference numerals: 21. Module for acquiring parameters to be optimized; 22. Module for optimizing the mass and heat transfer; 301. Processor; 302. Communication bus; 303. User interface; 304. Network interface; 305. Memory. DETAILED DESCRIPTION

[0032] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0033] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0034] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0035] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0036] As a clean and efficient energy source, hydrogen energy has broad application prospects in transportation, industry, and energy storage. Solid-state hydrogen storage system is a technology that uses metal hydrides or other solid materials to adsorb hydrogen to achieve high-density hydrogen storage. Compared with traditional high-pressure gaseous hydrogen storage and liquid hydrogen storage, solid-state hydrogen storage has higher safety and hydrogen storage density. However, in practical applications, solid-state hydrogen storage systems face problems such as low mass and heat transfer efficiency and slow hydrogen absorption and desorption rates, which seriously restrict their large-scale application and promotion.

[0037] In the prior art, the mass transfer and heat transfer design of solid-state hydrogen storage systems mainly relies on experience and simple physical models. However, only using the above method, it is difficult to accurately describe the multiphase flow and heat transfer process in the complex solid-state hydrogen storage system because the nonlinear effects and multi-factor coupling influences within the solid-state hydrogen storage system cannot be fully considered. As a result, the designed solid-state hydrogen storage system exhibits low mass transfer and heat transfer efficiency in actual operation.

[0038] Therefore, there is an urgent need for a mass transfer and heat transfer optimization design method and device for a solid-state hydrogen storage system.

[0039] Please refer to Figure 1 , which shows a flow chart of a mass transfer and heat transfer optimization design method for a solid-state hydrogen storage system provided in an embodiment of the present application. The method is applied to a server. The flow chart mainly includes the following steps: S101 to S105.

[0040] Step S101, obtaining parameters to be optimized in a solid-state hydrogen storage system, wherein the solid-state hydrogen storage system comprises a plurality of tanks and a plurality of baffles, and the parameters to be optimized comprise staggered setting parameters corresponding to each of the tanks and structural arrangement parameters corresponding to each baffle.

[0041] Specifically, the solid-state hydrogen storage system is composed of a plurality of tanks and a plurality of baffles, wherein the tanks are used to store hydrogen and perform the hydrogen absorption and release process through their external heat transfer, and the baffles are used to guide the flow of hydrogen and adjust the temperature field and flow field in the system, and obtain the parameters to be optimized in the solid-state hydrogen storage system, that is, obtain the staggered setting parameters corresponding to each of the tanks and the structural layout parameters corresponding to each of the baffles, wherein the staggered setting parameters include but are not limited to: the arrangement angle parameters of each tank, the center distance parameters between adjacent tanks, the diameter parameters of each tank, etc., and the structural layout parameters include but are not limited to: the area parameters of each baffle, the thickness parameters of each baffle, the size parameters of the holes on the baffles, the placement angle parameters of each baffle, the overall distribution parameters of the baffles, etc.

[0042] Step S102: constructing adjustment decision variables corresponding to the solid-state hydrogen storage system according to the parameters to be optimized.

[0043] Specifically, in this application, how to change the parameters to be optimized in the solid-state hydrogen storage system, so as to optimize the mass transfer and heat transfer efficiency in the solid-state hydrogen storage system, is the main consideration. Therefore, in the embodiment of this application, it is necessary to first construct a specific optimization problem. The multiple optimization problems are mainly reflected in how to optimize the temperature distribution in the solid-state hydrogen storage system, reduce local overheating in the solid-state hydrogen storage system, increase the uniformity of hydrogen flow in the solid-state hydrogen storage system, and improve the absorption and release rate of hydrogen in the hydrogen storage material. At this time, the staggered arrangement method corresponding to the multiple tank bodies and the structural arrangement method corresponding to the multiple baffles are used as the main optimization problems in the solid-state hydrogen storage system, wherein the staggered arrangement method includes the center distance arrangement method between each adjacent tank body and the arrangement angle arrangement method of each tank body, and the structural arrangement method includes the area arrangement method of each baffle, the thickness arrangement method of each baffle, the hole size arrangement method of each baffle, and the placement angle arrangement method of each baffle. In order to solve the above optimization problem, it is necessary to construct the adjustment decision variables corresponding to the solid-state hydrogen storage system, and the adjustment decision variables are constructed by the following formula:

[0044]

[0045] Where x is the adjustment decision variable, D ij is the center distance setting method between the i-th and j-th tanks, θ i is the arrangement angle setting mode of the i-th tank body, A i is the area arrangement of the i-th baffle, H i is the thickness arrangement of the i-th baffle, P i The arrangement of the hole sizes of the i-th baffle, α i The angle arrangement of the i-th baffle.

[0046] Step S103, obtaining mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, wherein the mass transfer and heat transfer performance indicators include a temperature distribution indicator, a local overheating indicator, a hydrogen flow uniformity indicator, and an absorption and release rate indicator.

[0047] Specifically, the overall mass transfer and heat transfer performance of the solid-state hydrogen storage system is represented by a plurality of mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system. The mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system can be calculated according to a mass transfer and heat transfer simulation model. By inputting the parameters to be optimized into the mass transfer and heat transfer simulation model, the mass transfer and heat transfer simulation model simulates the mass transfer and heat transfer performance of the solid-state hydrogen storage system, and then obtains the simulation results: respectively construct a mass transfer and heat transfer performance evaluation function corresponding to each of the mass transfer and heat transfer performance indicators, one mass transfer and heat transfer performance indicator corresponds to one mass transfer and heat transfer performance evaluation function, wherein the temperature distribution indicator corresponds to the temperature Distribution evaluation function, the local overheating index corresponds to the local overheating evaluation function, the hydrogen flow uniformity index corresponds to the hydrogen flow uniformity evaluation function, and the absorption and release rate index corresponds to the absorption and release rate evaluation function; obtain the evaluation weight coefficient corresponding to each of the mass transfer and heat transfer performance evaluation functions, one mass transfer and heat transfer performance evaluation function corresponds to one evaluation weight coefficient; construct the mass transfer and heat transfer performance index function corresponding to the solid-state hydrogen storage system through the mass transfer and heat transfer performance evaluation function and the evaluation weight coefficient, and obtain the mass transfer and heat transfer performance index in the solid-state hydrogen storage system through the mass transfer and heat transfer performance index function. Obtain the mass transfer and heat transfer performance index function according to the following formula:

[0048] f=w1·f temp +w2·f hotspot +w3·f flow +w4·f rate ;

[0049] Wherein, f is the mass transfer and heat transfer performance index function, w1-w4 are the evaluation weight coefficients corresponding to each of the mass transfer and heat transfer performance evaluation functions, and f temp is the temperature distribution evaluation function, f hotspot is the local overheating evaluation function, f flow is the hydrogen flow uniformity evaluation function, f rate is the absorption and release rate evaluation function. In the embodiment of the present application, each evaluation function can be given the same importance, and then w1=w2=w3=w4=0.25 is set. temp 、f hotspot 、f flow and f rate The expressions are:

[0050]

[0051] Among them, σ T is the standard deviation of temperature distribution in solid-state hydrogen storage system, is the maximum value of the standard deviation of temperature distribution, T max is the maximum temperature in the solid-state hydrogen storage system, Tavg is the average temperature in the solid-state hydrogen storage system, (T max -T avg ) max is the maximum temperature difference in the solid-state hydrogen storage system, σ v is the standard deviation of the flow velocity distribution in the solid hydrogen storage system, is the maximum standard deviation of the flow rate distribution in the solid-state hydrogen storage system, n is the total number of multiple tanks in the solid-state hydrogen storage system, and r is i is the hydrogen absorption and release rate of the i-th tank in the solid hydrogen storage system, r max is the maximum hydrogen absorption and release rate in the solid-state hydrogen storage system. According to the above mass transfer and heat transfer performance index function and decision variables, the optimization problem of mass transfer and heat transfer performance in the solid-state hydrogen storage system is as follows:

[0052] f=w1·f temp +w2·f hotspot +w3·f flow +w4·f rate

[0053]

[0054] in, D ij The lower bound of D ij The upper bound of is θ i The lower bound of is θ i The lower bound of D ij The upper bound of A i The lower bound of A i The upper bound of H i The lower bound of H i The upper bound of P i The Nether, P i The upper bound of is α i The Nether, is α i The upper bound of . Describing all optimization problems, i.e., staggered settings and structural layouts in the form of vectors, we can get the target optimization function corresponding to the optimization problem as f(x). Then the constraints of the above optimization problem can be described as (x) k,min ≤(x) k ≤(x) k,max , Among them, (x)k,min is the lower bound of the kth element, (x) k,max is the upper bound of the kth element, and |x| is the dimension of the vector.

[0055] Step S104, adjusting the decision variables through the Newton-Raphson optimization algorithm, and then adjusting the mass transfer and heat transfer performance indicators, optimizing the parameter configuration scheme corresponding to the solid-state hydrogen storage system, the parameter configuration scheme including the tank structure layout scheme and the baffle structure layout scheme.

[0056] Specifically, the above adjustment decision variables are iteratively optimized in MATLAB through the Newton-Raphson optimization algorithm, and the target optimization function is solved in each iteration process, so as to improve the value of the target optimization function. Through continuous iterative optimization, the optimal parameter configuration of the solid-state hydrogen storage system is finally obtained. The parameter configuration is the parameter configuration scheme corresponding to the solid-state hydrogen storage system. The configuration scheme includes the tank structure layout scheme and the baffle structure layout scheme. First, the general search rules of the Newton-Raphson algorithm are explained, which mainly uses the Taylor series expansion:

[0057]

[0058] Where f(x) is a general function expression, Δx represents an increment of the variable x, and f′(x) and f″(x) represent the first-order derivative and second-order derivative of the function f(x) at point x, respectively. Adding and subtracting the two formulas in formula (1) respectively, we can obtain the expressions of f′(x) and f″(x), respectively:

[0059]

[0060] Get the general Newton–Raphson algorithm iteration formula:

[0061]

[0062] Substituting formula (2) into formula (3), we get:

[0063]

[0064] Among them, x i,n is the position of the decision vector when the i-th parameter configuration scheme performs the n-th iteration process; x i,n:1The position of the decision vector when the i-th parameter configuration scheme performs the n+1-th iteration process. Considering that the above decision vector position update formula also needs to calculate the target optimization function, when the target optimization function is complex, it will greatly increase the solution time. Therefore, it is necessary to improve the search rule of the general Newton-Raphson algorithm to obtain the Newton-Raphson optimization algorithm in this application, wherein formula (4) can be improved into the following form:

[0065]

[0066] Among them, NRSR is the Newton-Raphson search rule, randn represents a normally distributed random number with a mean of 0 and a variance of 1, r1, r2, and r3 are random numbers between (0,1), and y worst is an intermediate variable associated with the worst parameter configuration solution, used to calculate the position update of the worst solution in the current iteration, y best is an intermediate variable related to the optimal parameter configuration scheme, which is used to calculate the position update of the optimal solution in the current iteration process, z i,n:1 is the intermediate update position of the parameter configuration scheme in the nth iteration process, x worst 、x best are the positions of the worst and best parameter configuration solutions in the current iteration. By comparing these two solutions, the optimization process can be guided to iterate in the direction of a better solution. The worst solution is used to ensure global search, and the best solution is used for local convergence. Afterwards, by x i,n and x best Calculate multiple temporary update positions of the i-th parameter configuration scheme respectively as well as As shown in formula (6):

[0067]

[0068] in, as well as are three different temporary update positions, r4 and r5 are also random numbers between (0,1), p1 and p2 are integers between 1-M, M is the population size, δ is the adaptive coefficient used to enhance the algorithm, and Where N is the maximum number of iterations. Finally, for each iteration, obtain the r corresponding to the iteration 10 Random number, and judge r 10 whether the random number is greater than a preset threshold; if the random number is greater than the preset threshold, the position of the decision vector is not updated; if the random number is less than or equal to the preset threshold, the position of the decision vector is updated to obtain the updated position of the decision vector, and the iterative process specifically includes:

[0069]

[0070] Among them, x i,n is the position of the decision vector when the i-th parameter configuration scheme performs the n-th iteration process; x i,n:1 The position of the decision vector when the i-th parameter configuration scheme performs the n+1-th iteration process; The updated position of the decision vector when the i-th parameter configuration scheme performs the n+1-th iteration process, r 10 is the random number, and 0.6 is the preset threshold. i,n:1 Calculate using formula (8):

[0071]

[0072] Among them, r6 and r7 are also random numbers between (0,1). Calculate using formula (9):

[0073]

[0074] Among them, θ1 and θ2 are uniform random numbers generated in different ranges, P is the population size, μ1=3×r8×β+(1-β), μ2=r9×β+(1-β), r8 and r9 are also random numbers between (0,1), β is a binary variable, and β∈{0,1}. Afterwards, the current number of iterations of the iterative process and the preset number of iterations corresponding to the Newton-Raphson optimization algorithm are obtained, and the preset number of iterations is N; if it is confirmed that the current number of iterations is greater than the preset number of iterations, it is determined that the iterative process meets the convergence condition, and the solution that meets the preset condition in each of the iterative processes is used as the parameter configuration scheme.

[0075] Step S105, optimizing the arrangement of the plurality of tanks and the plurality of baffles according to the parameter configuration scheme to complete the mass transfer and heat transfer optimization design in the solid-state hydrogen storage system.

[0076] Specifically, according to the parameter configuration plan, each tank body and each baffle are configured respectively to determine the optimal arrangement angle setting of each tank body, the optimal center distance setting between adjacent tank bodies, the optimal area setting of each baffle, the optimal thickness setting of each baffle, the optimal hole size setting on each baffle, the optimal placement angle setting of each baffle, and the optimal overall distribution setting of the baffles, thereby completing the mass transfer and heat transfer optimization of the solid-state hydrogen storage system.

[0077] The present application adopts the above method to obtain the staggered setting parameters corresponding to each tank body and the structural layout parameters corresponding to each baffle in the solid-state hydrogen storage system, and uses the staggered setting parameters and the structural layout parameters as parameters to be optimized, so as to construct the adjustment decision variables corresponding to the solid-state hydrogen storage system according to the parameters to be optimized, and then obtain the mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, the mass transfer and heat transfer performance indicators include temperature distribution indicators, local overheating indicators, hydrogen flow uniformity indicators and absorption and release rate indicators, and adjust the decision variables through the Newton-Raphson optimization algorithm, and then adjust the mass transfer and heat transfer performance indicators, and optimize the parameter configuration scheme corresponding to the solid-state hydrogen storage system, so as to optimize the arrangement of multiple tank bodies and multiple baffles according to the parameter configuration scheme, and then effectively improve the mass transfer and heat transfer efficiency during the design of the solid-state hydrogen storage system through the Newton-Raphson optimization algorithm.

[0078] Please refer to Figure 2 , which shows a module schematic diagram of a mass transfer and heat transfer optimization design device for a solid hydrogen storage system provided in an embodiment of the present application, the device is a server, and the server includes a parameter acquisition module 21 to be optimized and a mass transfer and heat transfer optimization design module 22, wherein,

[0079] The parameter acquisition module 21 to be optimized is used to obtain the parameters to be optimized in the solid-state hydrogen storage system. The solid-state hydrogen storage system includes multiple tanks and multiple baffles. The parameters to be optimized include the staggered setting parameters corresponding to each tank and the structural layout parameters corresponding to each baffle.

[0080] The mass transfer and heat transfer optimization design module 22 is used to construct adjustment decision variables corresponding to the solid-state hydrogen storage system according to the parameters to be optimized; obtain mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, and the mass transfer and heat transfer performance indicators include temperature distribution indicators, local overheating indicators, hydrogen flow uniformity indicators, and absorption and release rate indicators; adjust the decision variables through the Newton-Raphson optimization algorithm, and then adjust the mass transfer and heat transfer performance indicators to optimize the parameter configuration scheme corresponding to the solid-state hydrogen storage system, and the parameter configuration scheme includes a tank structure layout scheme and a baffle structure layout scheme; optimize the layout of multiple tanks and multiple baffles according to the parameter configuration scheme to complete the mass transfer and heat transfer optimization design in the solid-state hydrogen storage system.

[0081] In one possible implementation, the mass transfer and heat transfer optimization design module 22 is used to construct adjustment decision variables corresponding to the solid-state hydrogen storage system, specifically including: constructing a staggered arrangement corresponding to multiple tank bodies and a structural arrangement corresponding to multiple baffles, the staggered arrangement including a center distance arrangement between each adjacent tank body and an arrangement angle arrangement of each tank body, the structural arrangement including an area arrangement of each baffle, a thickness arrangement of each baffle, a hole size arrangement of each baffle, and an angle arrangement of each baffle; according to the staggered arrangement and the structural arrangement, the adjustment decision variables corresponding to the solid-state hydrogen storage system are constructed.

[0082] In a possible implementation, the mass transfer and heat transfer optimization design module 22 is used to use the staggered arrangement mode and the structural arrangement mode as adjustment decision variables corresponding to the solid-state hydrogen storage system, specifically including: constructing the adjustment decision variables through the following formula;

[0083]

[0084] Among them, x is the adjustment decision variable, D ij is the center distance setting method between the i-th and j-th tanks, θ i is the arrangement angle setting method of the i-th tank, A i is the area layout of the i-th baffle, H i is the thickness arrangement of the i-th baffle, P i The arrangement of the hole sizes of the i-th baffle, α i is the angle arrangement of the i-th baffle.

[0085] In one possible embodiment, the mass transfer and heat transfer optimization design module 22 is used to obtain the mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, specifically including: constructing mass transfer and heat transfer performance evaluation functions corresponding to each mass transfer and heat transfer performance indicator, one mass transfer and heat transfer performance indicator corresponds to one mass transfer and heat transfer performance evaluation function, wherein the temperature distribution indicator corresponds to the temperature distribution evaluation function, the local overheating indicator corresponds to the local overheating evaluation function, the hydrogen flow uniformity indicator corresponds to the hydrogen flow uniformity evaluation function, and the absorption and release rate indicator corresponds to the absorption and release rate evaluation function; obtaining the evaluation weight coefficient corresponding to each mass transfer and heat transfer performance evaluation function, one mass transfer and heat transfer performance evaluation function corresponds to one evaluation weight coefficient; constructing the mass transfer and heat transfer performance indicator function corresponding to the solid-state hydrogen storage system through the mass transfer and heat transfer performance evaluation function and the evaluation weight coefficient, and obtaining the mass transfer and heat transfer performance indicator in the solid-state hydrogen storage system through the mass transfer and heat transfer performance indicator function.

[0086] In a possible implementation, the mass transfer and heat transfer optimization design module 22 is used to obtain the mass transfer and heat transfer performance index function according to the following formula:

[0087] f=w1·f temp +w2·f hotspot +w3·f flow +w4·f rate ;

[0088] Among them, f is the mass transfer and heat transfer performance index function, w1-w4 are the evaluation weight coefficients corresponding to each mass transfer and heat transfer performance evaluation function, f temp is the temperature distribution evaluation function, f hotspot is the local overheating evaluation function, f flow is the hydrogen flow uniformity evaluation function, f rate is the absorption and release rate evaluation function.

[0089] In a possible implementation, the iterative process of the Newton-Raphson optimization algorithm specifically includes: obtaining a random number corresponding to the iterative process, and determining whether the random number is greater than a preset threshold; if the random number is greater than the preset threshold, the position of the decision vector is not updated; if the random number is less than or equal to the preset threshold, the position of the decision vector is updated to obtain the updated position of the decision vector, and the iterative process specifically includes:

[0090]

[0091] Among them, x i,n The position of the decision vector for the i-th parameter configuration scheme during the n-th iteration; x i,n:1 The position of the decision vector for the i-th parameter configuration scheme during the n+1-th iteration process; The updated position of the decision vector for the i-th parameter configuration scheme during the n+1th iteration, r 10 is a random number and 0.6 is the preset threshold.

[0092] In one possible implementation, the mass transfer and heat transfer optimization design module 22 is used to adjust the decision variables according to the mass transfer and heat transfer simulation model through the Newton-Raphson optimization algorithm, and then adjust the mass transfer and heat transfer performance indicators to optimize the parameter configuration scheme corresponding to the solid-state hydrogen storage system, specifically including: obtaining the current number of iterations of the iterative process and the preset number of iterations corresponding to the Newton-Raphson optimization algorithm; if it is confirmed that the current number of iterations is greater than the preset number of iterations, it is determined that the iterative process meets the convergence conditions, and the solution that meets the preset conditions in each iterative process is used as the parameter configuration scheme.

[0093] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0094] The present application also provides an electronic device. Figure 3 , Figure 3 30 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include: at least one processor 301, at least one communication bus 302, a user interface 303, at least one network interface 304, and a memory 305.

[0095] The communication bus 302 is used to realize the connection and communication between these components.

[0096] The user interface 303 may include a display screen (Display) and a camera (Camera). The optional user interface 303 may also include a standard wired interface and a wireless interface.

[0097] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0098] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0099] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a mass transfer and heat transfer optimization design application for a solid-state hydrogen storage system.

[0100] exist Figure 3In the electronic device shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the mass transfer and heat transfer optimization design application for the solid-state hydrogen storage system stored in the memory 305. When executed by one or more processors 301, the electronic device executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0101] The present application also provides a computer-readable storage medium, which stores instructions. When executed by one or more processors, the electronic device executes one or more of the methods described in the above embodiments.

[0102] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0103] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0104] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0106] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0107] The above are only exemplary embodiments disclosed in this application, and the scope of the disclosure of this application cannot be limited by this. That is, any equivalent changes and modifications made according to the teachings disclosed in this application are still within the scope of the disclosure of this application. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other implementation schemes disclosed in this application.

[0108] This application is intended to cover any modifications, uses or adaptive changes disclosed in this application, which follow the general principles disclosed in this application and include common knowledge or customary technical means in the technical field not recorded in this application.

Claims

1. A mass transfer and heat transfer optimization design method for a solid-state hydrogen storage system, characterized in that: The method comprises: Acquire parameters to be optimized in a solid-state hydrogen storage system, wherein the solid-state hydrogen storage system comprises a plurality of tanks and a plurality of baffles, and the parameters to be optimized comprise staggered setting parameters corresponding to each of the tanks and structural arrangement parameters corresponding to each of the baffles; According to the parameters to be optimized, constructing adjustment decision variables corresponding to the solid-state hydrogen storage system; Obtaining mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, wherein the mass transfer and heat transfer performance indicators include a temperature distribution indicator, a local overheating indicator, a hydrogen flow uniformity indicator, and an absorption and release rate indicator; The decision variables are adjusted by the Newton-Raphson optimization algorithm, and then the mass transfer and heat transfer performance indicators are adjusted to optimize the parameter configuration scheme corresponding to the solid-state hydrogen storage system, wherein the parameter configuration scheme includes a tank structure layout scheme and a baffle structure layout scheme; The plurality of tanks and the plurality of baffles are optimally arranged according to the parameter configuration scheme to complete the mass transfer and heat transfer optimization design in the solid-state hydrogen storage system.

2. The method according to claim 1, characterized in that The construction of the adjustment decision variables corresponding to the solid-state hydrogen storage system specifically includes: Constructing a staggered arrangement corresponding to a plurality of the tank bodies and a structural arrangement corresponding to a plurality of the baffles, wherein the staggered arrangement includes a center distance arrangement between each adjacent tank body and an arrangement angle arrangement of each tank body, and the structural arrangement includes an area arrangement of each baffle, a thickness arrangement of each baffle, a hole size arrangement of each baffle, and a placement angle arrangement of each baffle; According to the staggered setting mode and the structural arrangement mode, the adjustment decision variables corresponding to the solid-state hydrogen storage system are constructed.

3. The method according to claim 2, characterized in that The staggered arrangement and the structural arrangement are used as adjustment decision variables corresponding to the solid-state hydrogen storage system, specifically including: The adjustment decision variable is constructed by the following formula; Where x is the adjustment decision variable, D ij is the center distance setting method between the i-th and j-th tanks, θ i is the arrangement angle setting mode of the i-th tank body, A i is the area arrangement of the i-th baffle, H i is the thickness arrangement of the i-th baffle, P i The arrangement of the hole sizes of the i-th baffle, α i The angle arrangement of the i-th baffle.

4. The method according to claim 1, characterized in that The obtaining of mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system specifically includes: Constructing mass transfer and heat transfer performance evaluation functions corresponding to each of the mass transfer and heat transfer performance indicators, respectively, one mass transfer and heat transfer performance indicator corresponds to one mass transfer and heat transfer performance evaluation function, wherein the temperature distribution indicator corresponds to the temperature distribution evaluation function, the local overheating indicator corresponds to the local overheating evaluation function, the hydrogen flow uniformity indicator corresponds to the hydrogen flow uniformity evaluation function, and the absorption and release rate indicator corresponds to the absorption and release rate evaluation function; Obtaining an evaluation weight coefficient corresponding to each of the mass transfer and heat transfer performance evaluation functions, wherein one mass transfer and heat transfer performance evaluation function corresponds to one evaluation weight coefficient; A mass transfer and heat transfer performance index function corresponding to the solid-state hydrogen storage system is constructed through the mass transfer and heat transfer performance evaluation function and the evaluation weight coefficient, and the mass transfer and heat transfer performance index in the solid-state hydrogen storage system is obtained through the mass transfer and heat transfer performance index function.

5. The method according to claim 4, characterized in that The method further includes obtaining the mass transfer and heat transfer performance index function according to the following formula: f=w1·f temp +w2·f hotspot +w3·f flow +w4·f rate ; Wherein, f is the mass transfer and heat transfer performance index function, w1-w4 are the evaluation weight coefficients corresponding to each of the mass transfer and heat transfer performance evaluation functions, and f temp is the temperature distribution evaluation function, f hotspot is the local overheating evaluation function, f flow is the hydrogen flow uniformity evaluation function, f rate is the absorption and release rate evaluation function.

6. The method according to claim 3, characterized in that The method also includes that the iterative process of the Newton-Raphson optimization algorithm specifically includes: Obtaining a random number corresponding to the iterative process, and determining whether the random number is greater than a preset threshold; If the random number is greater than the preset threshold, the position of the decision vector is not updated; if the random number is less than or equal to the preset threshold, the position of the decision vector is updated to obtain the updated position of the decision vector, and the iterative process specifically includes: Among them, x i,n is the position of the decision vector when the i-th parameter configuration scheme performs the n-th iteration process; x i,n+1 The position of the decision vector when the i-th parameter configuration scheme performs the n+1-th iteration process; The updated position of the decision vector when the i-th parameter configuration scheme performs the n+1-th iteration process, r 10 is the random number, and 0.6 is the preset threshold.

7. The method according to claim 6, characterized in that The method of adjusting the decision variables according to the mass transfer and heat transfer simulation model by the Newton-Raphson optimization algorithm, and then adjusting the mass transfer and heat transfer performance index, and calculating the parameter configuration scheme corresponding to the solid-state hydrogen storage system specifically includes: Obtaining the current number of iterations of the iterative process and the preset number of iterations corresponding to the Newton-Raphson optimization algorithm; If it is confirmed that the current number of iterations is greater than the preset number of iterations, it is determined that the iteration process meets the convergence condition, and the solution that meets the preset condition in each iteration process is used as the parameter configuration scheme.

8. A mass transfer and heat transfer optimization design device for a solid hydrogen storage system, characterized in that: The device includes a module for obtaining parameters to be optimized and a module for optimizing mass and heat transfer, wherein: The module for obtaining parameters to be optimized is used to obtain parameters to be optimized in a solid-state hydrogen storage system, wherein the solid-state hydrogen storage system includes a plurality of tanks and a plurality of baffles, and the parameters to be optimized include staggered setting parameters corresponding to each of the tanks and structural arrangement parameters corresponding to each of the baffles; The mass transfer and heat transfer optimization design module is used to construct adjustment decision variables corresponding to the solid-state hydrogen storage system according to the parameters to be optimized; obtain mass transfer and heat transfer performance indicators in the solid-state hydrogen storage system, and the mass transfer and heat transfer performance indicators include temperature distribution indicators, local overheating indicators, hydrogen flow uniformity indicators, and absorption and release rate indicators; adjust the decision variables through the Newton-Raphson optimization algorithm to adjust the mass transfer and heat transfer performance indicators, and calculate the parameter configuration scheme corresponding to the solid-state hydrogen storage system, and the parameter configuration scheme includes a tank structure layout scheme and a baffle structure layout scheme; optimize the layout of multiple tanks and multiple baffles according to the parameter configuration scheme to complete the mass transfer and heat transfer optimization design in the solid-state hydrogen storage system.

9. An electronic device, characterized in that: It includes a processor, a communication bus, a user interface, a network interface and a memory, wherein the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

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