A method and device for calculating the health of an electrolytic cell, and a hydrogen production system

Abstract

The application provides a method and device for calculating the health degree of an electrolytic cell and a hydrogen production system. In the application, the optimal index value of the health degree index is selected from the index value of the health degree index of the electrolytic cell, the average deviation of the health degree index is calculated based on the optimal index value of the health degree index and the index value of the health degree index of the electrolytic cell, the weight coefficient of the health degree index is determined according to the average deviation of the health degree index, and the health degree of the electrolytic cell is calculated by using the index value of the health degree index of the electrolytic cell and the weight coefficient of the health degree index. That is, the health degree of the electrolytic cell can be calculated by the application, and the problem that the health degree of the electrolytic cell needs to be monitored urgently is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of electrolyzer health degree calculation, and more particularly, to an electrolyzer health degree calculation method and device and a hydrogen production system. BACKGROUND

[0002] Large-scale renewable energy coupled electrolysis hydrogen production can not only effectively improve the energy utilization efficiency of renewable energy power generation systems, but also reduce carbon emissions. As an electrical conversion device, the electrolyzer is a key equipment for renewable energy water electrolysis hydrogen production technology.

[0003] Currently, in the renewable energy water electrolysis hydrogen production technology, it is urgent to monitor the health degree of the electrolyzer, so as to timely adjust the working mode of the electrolyzer when the health degree of the electrolyzer is low, thereby avoiding affecting the reliability of the water electrolysis hydrogen production. SUMMARY

[0004] Therefore, the present application provides an electrolyzer health degree calculation method, device and hydrogen production system to solve the problem of the urgent need to monitor the health degree of the electrolyzer.

[0005] To solve the above technical problems, the present application adopts the following technical solutions:

[0006] An electrolyzer health degree calculation method comprises:

[0007] From the determined index value of the health degree index of the electrolyzer, the optimal index value of the health degree index is screened out;

[0008] Based on the optimal index value of the health degree index and the index value of the health degree index of the electrolyzer, the average deviation of the health degree index is calculated;

[0009] According to the average deviation of the health degree index, the weight coefficient of the health degree index is determined;

[0010] The health degree of the electrolyzer is calculated by using the index value of the health degree index of the electrolyzer and the weight coefficient of the health degree index.

[0011] Optionally, the health degree index includes electrolyzer running time, electrolyzer start-stop times and electrolyzer running voltage;

[0012] From the determined index value of the health degree index of the electrolyzer, the optimal index value of the health degree index is screened out, comprising:

[0013] Obtaining the running data of the electrolyzer;

[0014] Based on the running data of the electrolyzer, the index value of the health degree index of the electrolyzer is determined;

[0015] From the index value of the health index of the electrolytic cell, the minimum index value of the health index is screened out as the optimal index value of the health index.

[0016] Optionally, based on the optimal index value of the health index and the index value of the health index of the electrolytic cell, the average deviation of the health index is calculated, including:

[0017] Based on the index value of the health index of the electrolytic cell and the optimal index value of the health index, the deviation of the health index of the electrolytic cell is calculated.

[0018] According to the deviation of the health index of the electrolytic cell, the average deviation of the health index is calculated.

[0019] Optionally, based on the index value of the health index of the electrolytic cell and the optimal index value of the health index, the deviation of the health index of the electrolytic cell is calculated, including:

[0020] The difference between the index value of the health index of the electrolytic cell and the optimal index value of the health index is taken as the deviation of the health index of the electrolytic cell.

[0021] Optionally, according to the deviation of the health index of the electrolytic cell, the average deviation of the health index is calculated, including:

[0022] The average value of the deviation of the health index of the electrolytic cell is taken as the average deviation of the health index.

[0023] Optionally, according to the average deviation of the health index, the weight coefficient of the health index is determined, including:

[0024] The sum of the average deviations of the health index is calculated.

[0025] The quotient of the average deviation of the health index and the sum of the average deviations is taken as the weight coefficient.

[0026] According to the weight coefficient distribution rule, the weight coefficient distribution operation is performed on the health index to obtain the weight coefficient of the health index.

[0027] Optionally, the health degree of the electrolytic cell is calculated by using the index value of the health index of the electrolytic cell and the weight coefficient of the health index, including:

[0028] The index value of the health index of the electrolytic cell and the weight coefficient of the health index are weighted and summed, and the result of the weighted sum operation is taken as the health degree of the electrolytic cell.

[0029] A kind of electrolytic cell health degree computing device, comprising:

[0030] Index screening module, for from the index value of the health degree index of the electrolytic cell determined, filter out the optimal index value of the health degree index;

[0031] Deviation calculation module, for based on the optimal index value of the health degree index, and the index value of the health degree index of the electrolytic cell, calculate the average deviation of the health degree index;

[0032] Coefficient determination module, for determining the weight coefficient of the health degree index according to the average deviation of the health degree index;

[0033] Health degree calculation module, for using the index value of the health degree index of the electrolytic cell, and the weight coefficient of the health degree index, calculate the health degree of the electrolytic cell.

[0034] Optionally, the health degree index includes electrolytic cell running length, electrolytic cell start-stop number and electrolytic cell running voltage;

[0035] The index screening module includes:

[0036] Data acquisition submodule, for obtaining the running data of electrolytic cell;

[0037] Index value determination submodule, for determining the index value of the health degree index of the electrolytic cell based on the running data of the electrolytic cell;

[0038] Index screening submodule, for from the index value of the health degree index of the electrolytic cell, filter out the minimum index value of the health degree index as the optimal index value of the health degree index.

[0039] A kind of hydrogen production system, including the processor for executing the above-mentioned one kind of electrolytic cell health degree computing method.

[0040] Compared with prior art, the present application has the following beneficial effects:

[0041] The present application provides a kind of electrolytic cell health degree computing method, device and hydrogen production system, in the present application, from the index value of the health degree index of the electrolytic cell obtained, filter out the optimal index value of the health degree index, based on the optimal index value of the health degree index, and the index value of the health degree index of the electrolytic cell, calculate the average deviation of the health degree index, according to the average deviation of the health degree index, determine the weight coefficient of the health degree index, using the index value of the health degree index of the electrolytic cell, and the weight coefficient of the health degree index, calculate the health degree of the electrolytic cell. That is, by the present application, the health degree of electrolytic cell can be calculated, solve the problem that health degree of electrolytic cell needs to be monitored urgently. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description only constitute a part of the embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of the provided drawings.

[0043] Figure 1 A method flowchart of a method for calculating the health degree of an electrolytic cell provided by the embodiment of the present application is shown in the figure.

[0044] Figure 2 A method flowchart of a method for screening the optimal index value of the health degree index provided by the embodiment of the present application is shown in the figure.

[0045] Figure 3 A method flowchart of a method for calculating the average deviation of the health degree index provided by the embodiment of the present application is shown in the figure.

[0046] Figure 4 A structural schematic diagram of a device for calculating the health degree of an electrolytic cell provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments only constitute a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort fall within the scope of protection of the present application.

[0048] The randomness and volatility of renewable energy such as wind power and photovoltaic power have brought great challenges to the stability and safety of power grids. Large-scale coupling of renewable energy and electrolytic hydrogen production can not only effectively improve the energy utilization efficiency of renewable energy power generation systems, but also reduce carbon emissions. As an electrical conversion device, the electrolytic cell is a key equipment for renewable energy water electrolysis hydrogen production technology.

[0049] At present, in the renewable energy water electrolysis hydrogen production technology, it is urgent to monitor the health degree of the electrolytic cell, so as to timely adjust the working mode of the electrolytic cell when the health degree of the electrolytic cell is low, and avoid affecting the reliability of water electrolysis hydrogen production.

[0050] In the evaluation of the health degree of the electrolytic cell, the main consideration factor is the running time, which is the average working time of each electrolytic cell. However, for the alkaline electrolytic cell, the start-stop times and the running time of a single electrolytic cell are important factors for measuring the service life of the electrolytic cell. The more the start-stop times and the longer the running time, the more serious the impact on the service life of the electrolytic cell. The voltage during full-power operation is an important factor for measuring the efficiency of the electrolytic cell. The lower the operating voltage, the higher the efficiency of the electrolytic cell to a certain extent. Therefore, when evaluating the health degree of the electrolytic cell, only considering the running time will result in low accuracy of the determined health degree of the electrolytic cell.

[0051] Therefore, the present application provides a method and device for calculating the health degree of an electrolytic cell and a hydrogen production system. In the present application, the optimal index value of the health degree index is selected from the index values of the health degree index of the electrolytic cell. The average deviation of the health degree index is calculated based on the optimal index value of the health degree index and the index values of the health degree index of the electrolytic cell. The weight coefficient of the health degree index is determined according to the average deviation of the health degree index. The health degree of the electrolytic cell is calculated using the index values of the health degree index of the electrolytic cell and the weight coefficient of the health degree index. That is, the health degree of the electrolytic cell can be calculated by the present application, which solves the problem of urgently monitoring the health degree of the electrolytic cell.

[0052] Further, the health degree index in the present application includes the running time of the electrolytic cell, the start-stop times of the electrolytic cell, and the operating voltage of the electrolytic cell. That is, the start-stop times, the running time, and the operating voltage of the electrolytic cell are considered to evaluate the health degree of the electrolytic cell, so that the accuracy of the calculated health degree of the electrolytic cell is higher.

[0053] Based on the above, an embodiment of the present application provides a method for calculating the health degree of an electrolytic cell, which refers to Figure 1 which can include

[0054] S11, the optimal index value of the health degree index is selected from the index values of the health degree index of the electrolytic cell.

[0055] In practical applications, the start-stop times and the running time of a single electrolytic cell are important factors for measuring the service life of the electrolytic cell. The more the start-stop times and the longer the running time, the more serious the impact on the service life of the electrolytic cell. The voltage during full-power operation is an important factor for measuring the efficiency of the electrolytic cell. The lower the operating voltage, the higher the efficiency of the electrolytic cell to a certain extent. Therefore, in the present embodiment, the health degree index includes the running time of the electrolytic cell, the start-stop times of the electrolytic cell, and the operating voltage of the electrolytic cell.

[0056] For each health degree index, a corresponding function can be set, which will be introduced in detail.

[0057] 1) The running time of the electrolytic cell.

[0058] The sequence of starting the electrolyzer in the hydrogen production system at the present stage is mainly determined according to the running time of the power supply. The hydrogen production power supply with short running time and the corresponding electrolyzer are started first, and the hydrogen production power supply with long running time and the corresponding electrolyzer are started later. A target function is established based on the running time of each electrolyzer. Specifically as follows:

[0059] T j =∑t j

[0060] Wherein, t j is the single running time of the jth electrolyzer, T j is the electrolyzer running time of the jth electrolyzer, generally the total running time.

[0061] 2, electrolyzer running voltage.

[0062] The electrolyzer running voltage generally refers to the average value of the long-time running voltage of the electrolyzer. The electrolyzer running voltage is an important factor to measure the service life of the electrolyzer. When a single electrolyzer runs at full power, the controller will record the DC output side voltage of the electrolyzer corresponding to the hydrogen production power supply. The DC output side voltage of the electrolyzer at full power is recorded each time and averaged to calculate an average voltage, which is the electrolyzer running voltage. The sequence of starting the electrolyzer in the hydrogen production system is determined according to the running voltage of each electrolyzer. The electrolyzer with low running voltage is started first, and the electrolyzer with high running voltage is started later. A target function is established based on the running voltage of the electrolyzer. Specifically as follows:

[0063]

[0064] Wherein, U j is the electrolyzer running voltage of the jth electrolyzer, u j is the single measurement voltage of the jth electrolyzer, and I is the number of single measurement voltage of the jth electrolyzer.

[0065] 3) The number of electrolyzer start-stop times.

[0066] The controller of the hydrogen production system will record the start-stop times of each electrolyzer and its corresponding hydrogen production power supply. The sequence of starting the electrolyzer in the hydrogen production system is determined according to the start-stop times. The electrolyzer with less start-stop times and its corresponding hydrogen production power supply are started first, and the electrolyzer with more start-stop times and its hydrogen production power supply are started later. A target function is established based on the start-stop times of each electrolyzer. Specifically as follows:

[0067] S j =∑s j

[0068] Wherein, S jis the number of start-stop times of the jth electrolyzer in a single run of the hydrogen production system. j is the number of start-stop times of the jth electrolyzer in a single run of the hydrogen production system.

[0069] On the basis of the introduction of each of the health indicators, with reference to Figure 2 "selecting the optimal indicator value of the health indicator from the indicator values of the health indicators of the electrolyzer" can include:

[0070] S21, obtaining operation data of the electrolyzer.

[0071] In this embodiment, the operation data of the electrolyzer can include:

[0072] The number of start-stop times of the electrolyzer in a single run of the hydrogen production system, the single measurement voltage of the electrolyzer, the single operation time of the electrolyzer, etc.

[0073] S22, determining the indicator value of the health indicator of the electrolyzer based on the operation data of the electrolyzer.

[0074] Specifically, the operation data of the electrolyzer is counted according to the objective function of the health indicator to obtain the indicator value of the health indicator of the electrolyzer.

[0075] In actual application, there are multiple electrolyzers in the hydrogen production system, and for each electrolyzer, the values of the electrolyzer operation time, the electrolyzer start-stop times and the electrolyzer operation voltage are calculated.

[0076] The indicator value of the health indicator can be represented by f i j , f i j is the indicator value of the jth electrolyzer under the i th health indicator, where i takes values of 1, 2, 3, respectively, representing the electrolyzer operation time, the electrolyzer start-stop times and the electrolyzer operation voltage.

[0077] S23, selecting the smallest indicator value of the health indicator from the indicator values of the health indicators of the electrolyzer as the optimal indicator value of the health indicator.

[0078] Specifically, for each health indicator, the smallest indicator value among the indicator values of the health indicator of all electrolyzers is selected as the optimal indicator value of the health indicator.

[0079] Taking a hydrogen production system with three electrolyzers as an example, the electrolyzer operation time of the first electrolyzer is the smallest, so the electrolyzer operation time of the first electrolyzer is selected as the optimal indicator value of the electrolyzer operation time, and the optimal indicator values of the remaining health indicators are determined in the same way.

[0080] The optimal indicator value of the health degree indicator can be represented by x i , wherein i respectively represents 1, 2, and 3, respectively representing the electrolytic tank running time, the electrolytic tank start-stop times, and the electrolytic tank running voltage.

[0081] S12, based on the optimal indicator value of the health degree indicator and the indicator value of the health degree indicator of the electrolytic tank, calculates the average deviation of the health degree indicator.

[0082] Specifically, for each health degree indicator, the average deviation thereof needs to be determined.

[0083] In actual application, referring to Figure 3 , step S12 can include:

[0084] S31, based on the indicator value of the health degree indicator of the electrolytic tank and the optimal indicator value of the health degree indicator, calculates the deviation of the health degree indicator of the electrolytic tank.

[0085] Specifically, the difference between the indicator value of the health degree indicator of the electrolytic tank and the optimal indicator value of the health degree indicator is taken as the deviation of the health degree indicator of the electrolytic tank.

[0086] In detail, for each electrolytic tank, the deviation of the health degree indicator of the electrolytic tank is represented by , wherein represents the deviation of the jth electrolytic tank under the i th health degree indicator, i respectively represents 1, 2, and 3, respectively representing the electrolytic tank running time, the electrolytic tank start-stop times, and the electrolytic tank running voltage.

[0087] The calculation formula of

[0088]

[0089] , wherein f i j is the indicator value of the jth electrolytic tank under the i th health degree indicator, f i i is the optimal indicator value under the i th health degree indicator, i respectively represents 1, 2, and 3, respectively representing the electrolytic tank running time, the electrolytic tank start-stop times, and the electrolytic tank running voltage.

[0090] Through the calculation formula of , the deviation of each electrolytic tank under each health degree indicator can be calculated. Since the optimal indicator value under the health degree indicator is the minimum indicator value of the health degree indicator, the calculated deviation is all non-negative.

[0091] It should be noted that the optimal index value under the health index is the minimum index value of the health index, that is, a certain index value under the health index, so the dispersion of the electrolytic cell corresponding to the optimal index value under the health index is zero, that is In this embodiment, no separate calculation is performed, nor is it used as data for subsequent average dispersion calculation. When there are n electrolytic cells in the hydrogen production system, the number of dispersion values calculated is n-1.

[0092] S32, calculating the average dispersion of the health index of the electrolytic cell according to the dispersion of the health index of the electrolytic cell.

[0093] Specifically, the average value of the dispersion of the health index of the electrolytic cell is taken as the average dispersion of the health index.

[0094] The average dispersion u of the health index is i The calculation formula is:

[0095]

[0096] Wherein, n is the number of electrolytic cells in the hydrogen production system, j is the jth electrolytic cell in the hydrogen production system, Indicates the dispersion of the jth electrolytic cell under the ith health index.

[0097] S13, determining the weight coefficient of the health index according to the average dispersion of the health index.

[0098] In this embodiment, the start-stop sequence of the hydrogen production system mainly involves three objective functions: electrolytic cell running time, electrolytic cell start-stop times, and electrolytic cell running voltage, that is, the embodiment of the application belongs to multi-objective optimization. When calculating multi-objective optimization, the final optimization result cannot satisfy the optimal solution of all optimization objectives at the same time, but achieves a kind of overall optimization. The traditional solving method of multi-objective optimization problem includes weighted summation method, constraint method and minimum-maximum method. The weighted summation method is to multiply each optimization index by a different weight coefficient and then add them to convert into a single objective function for solving. The constraint method sets a main optimization target, and the remaining optimization targets only need to meet a certain range, so as to convert the multi-objective optimization problem into a single objective optimization problem. The minimum-maximum method is mainly used to solve multi-objective optimization with conflicting objectives, and the optimal solution is obtained by minimizing the deviation between the ideal value of each objective and the function value. Based on the above three methods of weighted summation method, constraint method and minimum-maximum method, and combined with the application characteristics of the hydrogen production system, the weight method is finally adopted to construct the objective function. That is:

[0099] f j =μ1T j +μ2U j +μ3Sj

[0100] wherein f j is the health degree of the jth electrolytic cell, T j is the electrolytic cell running time length of the jth electrolytic cell, U j is the electrolytic cell running voltage of the jth electrolytic cell, S j is the start-stop times of the jth electrolytic cell, μ1, μ2, μ3 are weight coefficients of T j , U j and S j , and the greater the value is, the more important the optimization target is. In the embodiment of the present application, the dispersion ranking method can be used to determine the weight coefficients, the dispersion ranking method is introduced, the multi-objective optimization is converted into single objective, the weight coefficients of each objective function are self-adaptive, the interference of artificial subjective factors is avoided, and therefore the health degree values of each electrolytic cell are more scientific. For large-scale hydrogen production system, the electrolytic cells with smaller health degree values are started first, and the electrolytic cells with larger health degree values are started later, so that the life of the hydrogen production system is prolonged as a whole, the hydrogen production efficiency of the system is improved, and the operation cost is reduced.

[0101] In an implementation manner of the present application, step S13 can include:

[0102] 1) calculating the sum of average dispersions of the health degree indexes.

[0103] 2) taking the quotient of the average dispersion of the health degree index and the sum of average dispersions as the weight coefficient.

[0104] Specifically, the weight coefficient μ1, μ2, μ3 calculation formula is:

[0105]

[0106] wherein μ i is the weight coefficient, the value of i is 1, 2 and 3 respectively, u i is the average dispersion of the health degree index, the value of i is 1, 2 and 3 respectively, and m is the total number of health degree indexes, in the embodiment, m is 3. Since the dispersions are all non-negative numbers, the weight coefficients calculated through the above process are all positive, and

[0107] 3) performing weight coefficient distribution operation on the health degree indexes according to the weight coefficient distribution rule, to obtain the weight coefficients of the health degree indexes.

[0108] Specifically, in order to balance the range of effective solutions, the above weight coefficients are sorted according to the size. Then, the weight coefficients calculated above are distributed to the above-mentioned health degree indexes.

[0109] In actual distribution, since the average deviation of the health indexes has been calculated, the average deviation is used to assign the minimum weight coefficient to the health index with the maximum average deviation, the maximum weight coefficient to the health index with the minimum average deviation, and the middle weight coefficient to the health index with the middle average deviation, so as to complete the distribution of the weight coefficients.

[0110] After the weight coefficients of the health indexes are determined, the target function constructed by the weight method can be determined.

[0111] f j = μ1T j + μ2U j + μ3S j

[0112] S14, using the index values of the health indexes of the electrolytic cell and the weight coefficients of the health indexes, calculating the health of the electrolytic cell.

[0113] Specifically, for each electrolytic cell, the index values of the health indexes of the electrolytic cell and the weight coefficients of the health indexes are weighted and summed, and the result of the weighted and summed operation is taken as the health of the electrolytic cell.

[0114] That is, according to the formula f j = μ1T j + μ2U j + μ3S j , the health of the electrolytic cell can be calculated. The smaller the health value is, the better the performance of the electrolytic cell is, and the higher the priority of starting is. Conversely, the health value is larger, the performance of the electrolytic cell is poorer, and the priority of starting is lower.

[0115] In the embodiment, the optimal index value of the health index is screened from the obtained index values of the health indexes of the electrolytic cell, the average deviation of the health index is calculated based on the optimal index value of the health index and the index values of the health indexes of the electrolytic cell, the weight coefficient of the health index is determined according to the average deviation of the health index, and the health of the electrolytic cell is calculated using the index values of the health indexes of the electrolytic cell and the weight coefficients of the health indexes. That is, by the present application, the health of the electrolytic cell can be calculated, and the problem of urgently monitoring the health of the electrolytic cell is solved.

[0116] In addition, the electrolytic cell health degree is calculated based on the factors of electrolytic cell operation time, electrolytic cell start-stop times, electrolytic cell operation voltage, etc., the characteristics of the electrolytic cell are comprehensively measured from multiple target functions, the weight coefficients are calculated by using the deviation sorting method, the weight coefficients are sorted in size, the target function of the health degree index with large average deviation is multiplied by a smaller weight coefficient, and the target function of the health degree index with small average deviation is multiplied by a larger weight coefficient, and a single-target target function for calculating the health degree is re-constructed, which can effectively avoid subjective speculation and make the optimization result of the system more scientific. The simulation calculation shows that the method is feasible and effective, balances the working time of the electrolytic cell array, effectively improves the service life of the electrolytic cell array, reduces the safety risk that may occur in the electrolytic cell operation process to the minimum, and improves the safety and reliability of hydrogen production. The present application can provide a reference for the optimal operation of the multi-electrolytic cell variable power hydrogen production system.

[0117] Optionally, based on the embodiment of the above-mentioned electrolytic cell health degree calculation method, another embodiment of the present application provides an electrolytic cell health degree calculation device, referring to Figure 4 may include:

[0118] The index screening module 11 is used for screening the optimal index value of the health degree index from the index value of the determined health degree index of the electrolytic cell.

[0119] The deviation calculation module 12 is used for calculating the average deviation of the health degree index based on the optimal index value of the health degree index and the index value of the health degree index of the electrolytic cell.

[0120] The coefficient determination module 13 is used for determining the weight coefficient of the health degree index according to the average deviation of the health degree index.

[0121] The health degree calculation module 14 is used for calculating the health degree of the electrolytic cell by using the index value of the health degree index of the electrolytic cell and the weight coefficient of the health degree index.

[0122] Further, the health degree index includes electrolytic cell operation time, electrolytic cell start-stop times and electrolytic cell operation voltage.

[0123] The index screening module includes:

[0124] The data acquisition sub-module is used for acquiring the operation data of the electrolytic cell.

[0125] The index value determination sub-module is used for determining the index value of the health degree index of the electrolytic cell based on the operation data of the electrolytic cell.

[0126] The index screening submodule is configured to screen the minimum index value of the health degree index from the index values of the health degree index of the electrolytic cell, and take the minimum index value as the optimal index value of the health degree index.

[0127] Further, the dispersion calculation module 12 is specifically configured to:

[0128] Further, the dispersion calculation module 12 is specifically configured to:

[0129] Further, the dispersion calculation module 12 is specifically configured to:

[0130] Further, the dispersion calculation module 12 is specifically configured to:

[0131] Further, the dispersion calculation module 12 is specifically configured to:

[0132] Further, the dispersion calculation module 12 is specifically configured to:

[0133] Further, the coefficient determination module 13 is specifically configured to:

[0134] Further, the coefficient determination module 13 is specifically configured to:

[0135] Further, the health degree calculation module 14 is specifically configured to:

[0136] Further, the health degree calculation module 14 is specifically configured to:

[0137] In the embodiment, the optimal index value of the health index is screened from the index values of the health index of the electrolytic tank, the average deviation of the health index is calculated based on the optimal index value of the health index and the index values of the health index of the electrolytic tank, the weight coefficient of the health index is determined according to the average deviation of the health index, and the health degree of the electrolytic tank is calculated by using the index values of the health index of the electrolytic tank and the weight coefficient of the health index. That is, the health degree of the electrolytic tank can be calculated by the application, and the problem that the health degree of the electrolytic tank needs to be monitored is solved.

[0138] It should be noted that the working processes of the modules and sub-modules in the embodiment are described above, and will not be described here.

[0139] Optionally, based on the above-mentioned embodiment of the method and device for calculating the health degree of the electrolytic tank, another embodiment of the application provides a hydrogen production system comprising a processor for executing the above-mentioned method for calculating the health degree of the electrolytic tank.

[0140] In the embodiment, the optimal index value of the health index is screened from the index values of the health index of the electrolytic tank, the average deviation of the health index is calculated based on the optimal index value of the health index and the index values of the health index of the electrolytic tank, the weight coefficient of the health index is determined according to the average deviation of the health index, and the health degree of the electrolytic tank is calculated by using the index values of the health index of the electrolytic tank and the weight coefficient of the health index. That is, the health degree of the electrolytic tank can be calculated by the application, and the problem that the health degree of the electrolytic tank needs to be monitored is solved.

[0141] The above description of disclosed embodiments enables a person skilled in the art to implement or use the application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of calculating the health of an electrolytic cell, characterized by, The method comprises the following steps: From the determined index value of the health index of the electrolytic cell, the optimal index value of the health index is screened out; Based on the optimal index value of the health index and the index value of the health index of the electrolytic cell, the average deviation of the health index is calculated; According to the average deviation of the health index, the weight coefficient of the health index is determined; Using the index value of the health index of the electrolytic cell and the weight coefficient of the health index, the health degree of the electrolytic cell is calculated; wherein, the electrolytic cell with small health degree value will adopt the priority starting mode; the electrolytic cell with large health degree value will adopt the delayed starting mode.

2. The computational method of claim 1, wherein, The health index includes the running time of the electrolytic cell, the start-stop times of the electrolytic cell and the running voltage of the electrolytic cell; From the determined index value of the health index of the electrolytic cell, the optimal index value of the health index is screened out, which comprises the following steps: Obtain the running data of the electrolytic cell; Based on the running data of the electrolytic cell, the index value of the health index of the electrolytic cell is determined; From the index value of the health index of the electrolytic cell, the minimum index value of the health index is screened out as the optimal index value of the health index.

3. The computational method of claim 1, wherein, Based on the optimal index value of the health index and the index value of the health index of the electrolytic cell, the average deviation of the health index is calculated, which comprises the following steps: Based on the index value of the health index of the electrolytic cell and the optimal index value of the health index, the deviation of the health index of the electrolytic cell is calculated; According to the deviation of the health index of the electrolytic cell, the average deviation of the health index is calculated.

4. The computational method of claim 3, wherein, Based on the index value of the health index of the electrolytic cell and the optimal index value of the health index, the deviation of the health index of the electrolytic cell is calculated, which comprises the following steps: The difference between the index value of the health index of the electrolytic cell and the optimal index value of the health index is taken as the deviation of the health index of the electrolytic cell.

5. The computational method of claim 3, wherein, According to the deviation of the health index of the electrolytic cell, the average deviation of the health index is calculated, which comprises the following steps: The average value of the deviation of the health index of the electrolytic cell is taken as the average deviation of the health index.

6. The computational method of claim 1, wherein, According to the average deviation of the health index, the weight coefficient of the health index is determined, which comprises the following steps: The sum of the average deviations of the health index is calculated; The quotient of the average deviation of the health index and the sum of the average deviations is taken as the weight coefficient; According to the weight coefficient distribution rule, the weight coefficient distribution operation is performed on the health index to obtain the weight coefficient of the health index.

7. The computational method of claim 1, wherein, Using the index value of the health index of the electrolytic cell and the weight coefficient of the health index, the health degree of the electrolytic cell is calculated, which comprises the following steps: The weighted sum operation is performed on the index value of the health index of the electrolytic cell and the weight coefficient of the health index, and the result of the weighted sum operation is taken as the health degree of the electrolytic cell.

8. A device for calculating the health of an electrolytic cell, characterized in that, The method comprises the following steps: The index screening module is configured to screen an optimal index value of the health degree index from the index values of the health degree index of the determined electrolytic cell; The dispersion calculation module is configured to calculate an average dispersion of the health degree index based on the optimal index value of the health degree index and the index values of the health degree index of the electrolytic cell; The coefficient determination module is configured to determine a weight coefficient of the health degree index according to the average dispersion of the health degree index; The health degree calculation module is configured to calculate the health degree of the electrolytic cell by using the index values of the health degree index of the electrolytic cell and the weight coefficient of the health degree index; wherein the electrolytic cell with a small health degree value is in a priority start mode compared with the electrolytic cell with a large health degree value; and the electrolytic cell with a large health degree value is in a delayed start mode compared with the electrolytic cell with a small health degree value.

9. The computing device of claim 8, wherein, The health degree index includes an electrolytic cell running time, an electrolytic cell start-stop times and an electrolytic cell running voltage; The index screening module includes: A data acquisition submodule configured to acquire running data of the electrolytic cell; An index value determination submodule configured to determine the index values of the health degree index of the electrolytic cell based on the running data of the electrolytic cell; An index screening submodule configured to screen the smallest index value of the health degree index from the index values of the health degree index of the electrolytic cell as the optimal index value of the health degree index.

10. A hydrogen production system, characterized by, A processor configured to execute a method for calculating the health degree of an electrolytic cell according to any one of claims 1-7.

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