Vehicle-mounted hydrogen storage bottle bandage structure optimization method, device and equipment and storage medium

Abstract

The invention discloses a vehicle-mounted hydrogen storage bottle bandage structure optimization method and device, equipment and a storage medium. The method comprises the following steps: randomly generating a plurality of groups of hydrogen storage bottle bandage structure parameters, and establishing a hydrogen storage bottle three-dimensional model fixed by a bandage according to the bandage structure parameters; performing random vibration analysis according to the three-dimensional model, and solving equivalent stress values corresponding to the multiple groups of hydrogen storage cylinders under random vibration; by taking each equivalent stress value and the bandage structure parameter as modeling data, constructing a hydrogen storage bottle bandage structure prediction model based on a GA-XGBoost algorithm; according to the hydrogen storage bottle bandage structure prediction model, the optimal structure parameters of the bandage can be rapidly predicted, the whole structure parameter optimization process can be achieved through a written program, a large amount of calculation and experimental verification do not need to be designed, the working efficiency is improved, and the workload is reduced; and random vibration analogue simulation is carried out on the hydrogen storage bottle three-dimensional model by inputting the power spectrum density measured under the real road condition, so that the hydrogen storage bottle bandage structure prediction model is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle-mounted hydrogen storage bottle strap design, and in particular to a vehicle-mounted hydrogen storage bottle strap structure optimization method, device, equipment and storage medium. Background Art

[0002] At present, most common on-board hydrogen systems are high-pressure hydrogen storage, that is, high-pressure hydrogen storage bottles are used to store and utilize hydrogen. At this stage, the on-board hydrogen storage bottles are basically fixed by straps. The structure of the hydrogen storage bottle straps directly affects the life and stability of the hydrogen storage bottles. Therefore, its structural design has always been a hot spot and difficulty in the field of fuel cell technology. Various complex road conditions will cause the on-board hydrogen storage bottles to vibrate during transportation. In certain specific cases, the vibration of the system may generate a large inertial force load, which in turn causes dynamic stress and displacement vibration. Once the hydrogen storage bottle fails due to vibration, it may cause hydrogen leakage and structural strength failure. Therefore, it is necessary to conduct random vibration analysis of the hydrogen storage bottle based on the power spectrum of real road conditions, and then design a reasonable strap structure to extend the service life of the hydrogen storage bottle.

[0003] The inventors have found through research that the design method of the vehicle-mounted hydrogen storage bottle strap in the prior art still has at least the following defects:

[0004] It requires a lot of calculations and experimental verifications, which will consume a lot of manpower and material resources and lead to low work efficiency.

[0005] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0006] The purpose of the present invention is to quickly and accurately optimize the design of the strap structure of a vehicle-mounted hydrogen storage bottle.

[0007] The present invention provides a method for optimizing the structure of a vehicle-mounted hydrogen storage bottle strap, comprising the steps of:

[0008] S11, randomly generating multiple sets of hydrogen storage bottle strap structural parameters; and establishing a three-dimensional model of the hydrogen storage bottle fixed with the strap according to the strap structural parameters;

[0009] S12, performing random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles;

[0010] S13. Using the equivalent stress values ​​and the strap structural parameters as modeling data, a hydrogen storage bottle strap structural prediction model based on the GA-XGBoost algorithm is constructed; the hydrogen storage bottle strap structural prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

[0011] Preferably, in an embodiment of the present invention, the method of solving the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles comprises the steps of:

[0012] S121, importing the three-dimensional model into simulation software, and pre-processing the three-dimensional model; the pre-processing includes: adding material properties, dividing the grid, constraining boundary conditions and setting friction contact;

[0013] S122, performing modal analysis and modal extraction on the pre-processed three-dimensional model;

[0014] S123, adding a Random vibration analysis module to the three-dimensional model after the mode extraction, inputting the power spectrum density of each axis of X, Y, and Z, and obtaining the equivalent stress values ​​of the multiple groups of hydrogen storage bottles under random vibration.

[0015] Preferably, in an embodiment of the present invention, constructing the hydrogen storage bottle strap structure prediction model includes:

[0016] S131, establishing a sample database according to the equivalent stress values ​​of each group and the binding structure parameters;

[0017] S132, determining a mapping relationship between the binding strap structural parameters and the equivalent stress values ​​in the sample database;

[0018] S133, using each sample data of the mapping relationship as modeling data to obtain a prediction model of the hydrogen storage bottle strap structure.

[0019] Preferably, in the embodiment of the present invention, the strap structure parameters include:

[0020] Band thickness, band width and the distance between two bands.

[0021] Preferably, in an embodiment of the present invention, constructing the hydrogen storage bottle strap structure prediction model further includes:

[0022] Verify the effectiveness of the hydrogen storage bottle strap structure prediction model.

[0023] Preferably, in an embodiment of the present invention, verifying the validity of the hydrogen storage bottle strap structure prediction model includes:

[0024] It is determined whether the error between the equivalent stress value output by the hydrogen storage bottle strap structure prediction model and the maximum equivalent stress value calculated under the optimal structural parameters of the strap is within a preset error range.

[0025] On the other hand, the present invention also provides a vehicle-mounted hydrogen storage bottle strap structure optimization device, comprising:

[0026] A three-dimensional model building unit is used to randomly generate multiple groups of hydrogen storage bottle strap structural parameters; and to establish a three-dimensional model of the hydrogen storage bottle fixed with the strap according to the strap structural parameters;

[0027] An equivalent stress solving unit is used to perform random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles;

[0028] A hydrogen storage bottle strap structure prediction model is used to construct a hydrogen storage bottle strap structure prediction model based on a GA-XGBoost algorithm using the equivalent stress values ​​and the strap structure parameters as modeling data; the hydrogen storage bottle strap structure prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

[0029] Preferably, in an embodiment of the present invention, the method of solving the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles comprises the steps of:

[0030] S121, importing the three-dimensional model into simulation software, and pre-processing the three-dimensional model; the pre-processing includes: adding material properties, dividing the grid, constraining boundary conditions and setting friction contact;

[0031] S122, performing modal analysis and modal extraction on the pre-processed three-dimensional model;

[0032] S123, adding a Random vibration analysis module to the three-dimensional model after the mode extraction, inputting the power spectrum density of each axis of X, Y, and Z, and obtaining the equivalent stress values ​​of the multiple groups of hydrogen storage bottles under random vibration.

[0033] On the other hand, an embodiment of the present invention further provides a device for optimizing the structure of a vehicle-mounted hydrogen storage bottle strap; the device for optimizing the structure of a vehicle-mounted hydrogen storage bottle strap includes a computer program stored on a medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the methods described in the above aspects and achieves the same technical effects.

[0034] On the other hand, a storage medium is provided on which a computer program is stored. When the computer program is executed by a processor, each step of the method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap as described in any one of the above items is implemented.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] In the present invention, firstly, multiple groups of hydrogen storage bottle strap structural parameters are generated; according to the strap structural parameters, a three-dimensional model of the hydrogen storage bottle fixed with the strap is established; then, random vibration analysis is performed according to the three-dimensional model to solve the corresponding equivalent stress values ​​of the multiple groups of hydrogen storage bottles under random vibration; finally, each equivalent stress value and the strap structural parameters are used as modeling data to construct a hydrogen storage bottle strap structural prediction model based on the GA-XGBoost algorithm; the hydrogen storage bottle strap structural prediction model can quickly predict the optimal structural parameters of the strap, and the entire structural parameter optimization process can be realized using a written program, without the need to design a large number of calculations and experimental verifications, thereby improving work efficiency and reducing workload; and by inputting the power spectral density measured under real road conditions, the random vibration simulation of the hydrogen storage bottle three-dimensional model is performed, so that the hydrogen storage bottle strap structural prediction model is more accurate.

[0037] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with the accompanying drawings as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 It is a step diagram of the method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap described in the present invention;

[0040] Figure 2 It is a schematic diagram of the structural parameters of the hydrogen storage bottle strap described in the present invention;

[0041] Figure 3 It is the determination coefficient diagram of the GA-XGBoost algorithm model described in the present invention;

[0042] Figure 4 It is a fitness curve diagram of the prediction model of the hydrogen storage bottle strap structure described in the present invention;

[0043] Figure 5 It is a cloud diagram of the equivalent stress of the vehicle-mounted hydrogen storage bottle described in the present invention;

[0044] Figure 6 It is a structural schematic diagram of the vehicle-mounted hydrogen storage bottle strap structure optimization device described in the present invention;

[0045] Figure 7 It is a schematic diagram of the structure of the vehicle-mounted hydrogen storage bottle strap structure optimization device described in the present invention. DETAILED DESCRIPTION

[0046] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0047] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0048] In this document, the terms "first", "second", etc. are used to distinguish two different elements or parts, and are not used to limit a specific position or relative relationship. In other words, in some embodiments, the terms "first", "second", etc. can also be interchangeable.

[0049] Embodiment 1

[0050] In order to quickly and accurately optimize the design of the on-board hydrogen storage bottle strap structure, Figure 1 As shown, in an embodiment of the present invention, a method for optimizing the structure of a vehicle-mounted hydrogen storage bottle strap is provided, comprising the steps of:

[0051] S11, randomly generating multiple sets of hydrogen storage bottle strap structural parameters; and establishing a three-dimensional model of the hydrogen storage bottle fixed with the strap according to the strap structural parameters;

[0052] In the embodiment of the present invention, Python is used to randomly generate multiple sets of hydrogen storage bottle strap structural parameters, SolidWorks is used to establish a three-dimensional model of the hydrogen storage bottle fixed by the strap based on the structural parameters, and the assembly of the hydrogen storage bottle and the strap is completed in the Assembly module. In actual applications, 100 sets of structural parameters can be randomly generated.

[0053] In the embodiment of the present invention, the strap structural parameters include: strap thickness, strap width and the distance between two straps, as shown in FIG. Figure 2 Schematic diagram of the structural parameters of the hydrogen storage bottle strap shown.

[0054] S12, performing random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles;

[0055] In an embodiment of the present invention, solving the equivalent stress values ​​corresponding to multiple groups of hydrogen storage bottles under random vibration includes the following steps:

[0056] S121, importing the three-dimensional model into simulation software, and pre-processing the three-dimensional model; the pre-processing includes: adding material properties, dividing the grid, constraining boundary conditions and setting friction contact;

[0057] In the embodiment of the present invention, the specific process is as follows: add the Static Structural analysis module, import the 3D model in SolidWorks into the simulation software Workbench; perform pre-processing on the 3D model, wherein the material properties of the strap are: Young's modulus 2.1E+11Pa, Poisson's ratio 0.3, density 7850Kg / m 3 ; The material properties of the hydrogen storage bottle liner are: Young's modulus 6.904E+10Pa, Poisson's ratio 0.33, density 2713Kg / m 3 ; The material properties of the hydrogen storage bottle outer liner are: Young's modulus 2.64E+10Pa, Poisson's ratio 0.1543, density 1857Kg / m 3 ; Click Model to enter Mechanical for meshing. First, set the meshing method of the entire 3D model to Hex Dominant. Then, perform 5mm meshing on the entire 3D model and add friction contact between the straps and the hydrogen storage bottle.

[0058] S122, performing modal analysis and modal extraction on the pre-processed three-dimensional model;

[0059] In the embodiment of the present invention, a Modal Analysis analysis module is added to the pre-processed three-dimensional model. In the implementation, the constraint condition is fixed support, and the two straps are set as fixed constraints. The Workbench is used to perform modal analysis on the hydrogen storage bottle fixed by the straps, and the maximum modal order is selected as 6, and the first six natural frequencies and natural vibration modes are output.

[0060] S123, adding a Random vibration analysis module to the three-dimensional model after the mode extraction, inputting the power spectrum density of each axis of X, Y, and Z, and obtaining the equivalent stress values ​​of multiple groups of hydrogen storage bottles under random vibration.

[0061] In the embodiment of the present invention, a random vibration analysis module is added to the three-dimensional model after the mode is extracted. In practical applications, the power spectrum density of the random vibration can be input into the Workbench. The power spectrum density measured under real road conditions, as shown in Table 1, is respectively input as the load condition based on the X-, Y-, and Z-axis power spectrum densities. The Workbench is used to perform random vibration analysis on the hydrogen storage bottle fixed with a strap to obtain the equivalent stress value of the hydrogen storage bottle under random vibration.

[0062] Table 1:

[0063]

[0064] Specifically, 100 groups of three-dimensional models with different strapping parameters were solved respectively to obtain 100 groups of equivalent stress values ​​of hydrogen storage bottles under random vibration loads.

[0065] S13. Using the equivalent stress values ​​and the strap structural parameters as modeling data, a hydrogen storage bottle strap structural prediction model based on the GA-XGBoost algorithm is constructed; the hydrogen storage bottle strap structural prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

[0066] In the embodiment of the present invention, a prediction model of the hydrogen storage bottle strap structure is constructed, including:

[0067] S131, establishing a sample database according to the equivalent stress values ​​of each group and the binding structure parameters;

[0068] S132, determining a mapping relationship between the binding strap structural parameters and the equivalent stress values ​​in the sample database;

[0069] S133, using each sample data of the mapping relationship as modeling data to obtain a prediction model of the hydrogen storage bottle strap structure.

[0070] In practical applications, 100 sets of data including strap parameters and equivalent stress values ​​were imported into Python to establish a sample database. Machine learning was used to find the mapping relationship between the strap structure and the stress solution of the hydrogen storage bottle. The strap prediction model was trained using each sample in the sample database to obtain the hydrogen storage bottle strap prediction model.

[0071] Specifically, you need to import necessary libraries to process data and train machine learning models, such as Pandas, Scikit-learn, Numpy, xgboost, Sko.GA, etc.

[0072] The sample data is then divided into a training set and a test set. In practical applications, the training set can account for 80% and the test set can account for 20%.

[0073] Setting the number of parents in the initial population to an integer greater than 2, and setting it to 10, can speed up the convergence of the algorithm. Each individual in the population contains 6 parameters, that is, the hyperparameters that need to be optimized, and set the corresponding value range for each parameter. The specific parameters and their settings are as follows:

[0074] The learning rate learning_rate ranges from 0.01 to 1, with an accuracy of 2 decimal places. In the example, the value is 0.10.

[0075] The number of weak estimators n_estimators is an integer ranging from 10 to 1500, with a specified increment of 25. In the example, the value is 1491.

[0076] The maximum depth of the tree model, max_depth, is an integer ranging from 1 to 10, with an increment of 1. In the example, the value is 6.

[0077] The second-order derivative and min_child_weight of the leaf node range from 0.01 to 10.0, with an accuracy of 2 decimal places. In the example, the value is 0.47.

[0078] The subsample ratio of the sample randomly selected is in the range of 0.01 to 1.0, with an accuracy of 2 decimal places. In this example, the value is 0.75.

[0079] The proportion of randomly selected features, colsample_bytree, ranges from 0.01 to 1.0, with an accuracy of 2 decimal places. In the example, the value is 0.33.

[0080] After the setting is completed, the training data set is imported into the XGBoost model, and the XGBoost model is trained through the GA genetic algorithm to determine the optimal parameter combination of the XGBoost model and obtain the hydrogen storage bottle strap structure prediction model.

[0081] Specifically, in the implementation, the GA-XGBoost algorithm model determines the coefficient, such as Figure 3 As shown in the figure, the horizontal axis is the test value, and the vertical axis is the predicted value; the red dot is the specific predicted value; the blue dotted line is the straight line y=x, which is used to distinguish the difference between the predicted value and the test value; when R 2 When it is 0.945, the data fitting degree of the GA-XGBoost model is high, and it can be used to optimize and analyze the structural parameters of the hydrogen storage bottle straps.

[0082] The hydrogen storage bottle strap structure prediction model inputs the strap width, strap thickness and the distance between the two straps, and the output parameter is the equivalent stress of the hydrogen storage bottle. The fitness curve of the hydrogen storage bottle strap structure prediction model is as follows: Figure 4 As shown, the equivalent stress value of the hydrogen storage bottle under the optimal structural parameters of the strap is 1920.49 Pa.

[0083] Preferably, in an embodiment of the present invention, constructing a hydrogen storage bottle strap structure prediction model also includes: verifying the validity of the hydrogen storage bottle strap structure prediction model; judging whether the error between the equivalent stress value output by the hydrogen storage bottle strap structure prediction model and the maximum equivalent stress value calculated under the optimal strap structure parameters is within a preset error range. In practical applications, the strap structure parameters can be set to the predicted optimal structure parameters, where the strap width is 58mm, the strap thickness is 18mm, and the strap spacing is 625mm. The simulation results show that the equivalent stress value of the hydrogen storage bottle is 1921.5Pa. Specifically, Figure 5 The cloud map of the equivalent stress of the on-board hydrogen storage bottle is shown. Compared with the predicted value, the error is 0.52%, which verifies the accuracy of the prediction model of the hydrogen storage bottle strap structure.

[0084] In summary, in an embodiment of the present invention, first, multiple groups of hydrogen storage bottle strap structural parameters are generated; a three-dimensional model of a hydrogen storage bottle fixed with a strap is established according to the strap structural parameters; then, a random vibration analysis is performed according to the three-dimensional model to solve the corresponding equivalent stress values ​​of multiple groups of hydrogen storage bottles under random vibration; finally, each equivalent stress value and the strap structural parameters are used as modeling data to construct a hydrogen storage bottle strap structural prediction model based on the GA-XGBoost algorithm; the hydrogen storage bottle strap structural prediction model can quickly predict the optimal structural parameters of the strap, and the entire structural parameter optimization process can be realized using a written program, without the need to design a large number of calculations and experimental verifications, thereby improving work efficiency and reducing workload; and by inputting the power spectral density measured under real road conditions, the random vibration simulation of the hydrogen storage bottle three-dimensional model is performed to make the hydrogen storage bottle strap structural prediction model more accurate.

[0085] Embodiment 2

[0086] Corresponding to the method embodiment, on the other side of the embodiment of the present invention, a device for optimizing the structure of the strap of a vehicle-mounted hydrogen storage bottle is also provided. Figure 6 The schematic diagram of the structure of the vehicle-mounted hydrogen storage bottle strap structure optimization device provided by the embodiment of the present invention is shown. The vehicle-mounted hydrogen storage bottle strap structure optimization device is Figure 1 The device corresponding to the method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap described in the corresponding embodiment, that is, the virtual device is used to implement Figure 1 The corresponding embodiment of the vehicle-mounted hydrogen storage bottle strap structure optimization method, each virtual module constituting the vehicle-mounted hydrogen storage bottle strap structure optimization device can be executed by an electronic device, such as a network device, a terminal device or a server. Specifically, the vehicle-mounted hydrogen storage bottle strap structure optimization device in the embodiment of the present invention includes:

[0087] The three-dimensional model building unit 01 is used to randomly generate multiple sets of hydrogen storage bottle strap structural parameters; and to establish a three-dimensional model of the hydrogen storage bottle fixed with the strap according to the strap structural parameters;

[0088] In the embodiment of the present invention, the structural parameters of the strap include: strap thickness, strap width and the distance between two straps; Python is used to randomly generate multiple groups of structural parameters of the hydrogen storage bottle straps, and 100 groups of structural parameters can be set to be randomly generated. Based on the structural parameters, SolidWorks is used to establish a three-dimensional model of the hydrogen storage bottle fixed by the straps, and the assembly of the hydrogen storage bottle and the straps is completed in the Assembly module.

[0089] The equivalent stress solving unit 02 is used to perform random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles;

[0090] In an embodiment of the present invention, solving the equivalent stress values ​​corresponding to multiple groups of hydrogen storage bottles under random vibration includes the following steps:

[0091] S121, importing the three-dimensional model into simulation software, and pre-processing the three-dimensional model; the pre-processing includes: adding material properties, dividing the grid, constraining boundary conditions and setting friction contact;

[0092] S122, performing modal analysis and modal extraction on the pre-processed three-dimensional model;

[0093] In the embodiment of the present invention, Workbench is used to perform modal analysis on the hydrogen storage bottle fixed by the strap, the maximum modal order is selected as 6, and the first six natural frequencies and natural vibration modes are output.

[0094] S123, adding a Random vibration analysis module to the three-dimensional model after the mode extraction, inputting the power spectrum density of each axis of X, Y, and Z, and obtaining the equivalent stress values ​​of the multiple groups of hydrogen storage bottles under random vibration.

[0095] In an embodiment of the present invention, a Random vibration analysis module is added to the three-dimensional model after the mode is extracted. In practical applications, the power spectrum density of the random vibration can be input in Workbench, such as the power spectrum density measured under real road conditions as shown in Table 1, and the power spectrum densities of the X, Y, and Z axes are respectively input as load conditions. The hydrogen storage bottle fixed with the strap is subjected to random vibration analysis by using Workbench to obtain the equivalent stress value of the hydrogen storage bottle under random vibration; 100 groups of three-dimensional models with different strap parameters are solved respectively to obtain 100 groups of equivalent stress values ​​of the hydrogen storage bottles under random vibration loads.

[0096] The hydrogen storage bottle strap structure prediction model 03 is used to construct a hydrogen storage bottle strap structure prediction model based on the GA-XGBoost algorithm using the equivalent stress values ​​and the strap structure parameters as modeling data; the hydrogen storage bottle strap structure prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

[0097] In the embodiment of the present invention, a prediction model of the hydrogen storage bottle strap structure is constructed, including:

[0098] S131, establishing a sample database according to the equivalent stress values ​​of each group and the binding structure parameters;

[0099] S132, determining a mapping relationship between the binding strap structural parameters and the equivalent stress values ​​in the sample database;

[0100] S133, using each sample data of the mapping relationship as modeling data to obtain a prediction model of the hydrogen storage bottle strap structure.

[0101] In practical applications, 100 sets of data including strap parameters and equivalent stress values ​​were imported into Python to establish a sample database. Machine learning was used to find the mapping relationship between the strap structure and the stress solution of the hydrogen storage bottle. The strap prediction model was trained using each sample in the sample database to obtain the hydrogen storage bottle strap prediction model.

[0102] It should be noted that the specific implementation method and technical effect of the vehicle-mounted hydrogen storage bottle strap structure optimization device in the embodiment of the present invention can be referred to Figure 1 The corresponding method for optimizing the on-board hydrogen storage bottle strap structure will not be elaborated here.

[0103] Embodiment 3

[0104] Corresponding to the method embodiment, in the embodiment of the present invention, there is also provided a vehicle-mounted hydrogen storage bottle strap structure optimization device, such as a terminal, a server, etc. Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited to this.

[0105] An example of a hardware structure block diagram of a vehicle-mounted hydrogen storage bottle strap structure optimization device provided by an embodiment of the present invention is shown in FIG. Figure 7 As shown, it may include:

[0106] Processor 1, communication interface 2, memory 3 and communication bus 4;

[0107] The processor 1, the communication interface 2, and the memory 3 communicate with each other via the communication bus 4;

[0108] Optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module;

[0109] The processor 1 may be a central processing unit CPU, or an application-specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0110] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0111] The processor 1 is specifically used to execute the computer program stored in the memory 3 to perform the following steps:

[0112] S11, randomly generating multiple sets of hydrogen storage bottle strap structural parameters; and establishing a three-dimensional model of the hydrogen storage bottle fixed with the strap according to the strap structural parameters;

[0113] S12, performing random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles;

[0114] S13. Using the equivalent stress values ​​and the strap structural parameters as modeling data, a hydrogen storage bottle strap structural prediction model based on the GA-XGBoost algorithm is constructed; the hydrogen storage bottle strap structural prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

[0115] The above-mentioned product can execute the method provided in the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the optimization method of the vehicle-mounted hydrogen storage bottle strap structure provided in the embodiment of the present invention.

[0116] Embodiment 4

[0117] In an embodiment of the present invention, a storage medium is further provided, which may store a program suitable for execution by a processor, wherein the program is used to:

[0118] S11, randomly generating multiple sets of hydrogen storage bottle strap structural parameters; and establishing a three-dimensional model of the hydrogen storage bottle fixed with the strap according to the strap structural parameters;

[0119] S12, performing random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles;

[0120] S13. Using the equivalent stress values ​​and the strap structural parameters as modeling data, a hydrogen storage bottle strap structural prediction model based on the GA-XGBoost algorithm is constructed; the hydrogen storage bottle strap structural prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

[0121] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0122] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the methods provided by other embodiments of the present invention.

[0123] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0124] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0125] 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.

[0126] 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.

[0127] It should be understood that in the embodiments of the present application, the various embodiments and features can be combined with each other to solve the aforementioned technical problems.

[0128] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0129] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present 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 for optimizing the structure of a vehicle-mounted hydrogen storage bottle strap, characterized in that: Includes steps: S11, randomly generating multiple sets of hydrogen storage bottle strap structural parameters; and establishing a three-dimensional model of the hydrogen storage bottle fixed with the strap according to the strap structural parameters; S12, performing random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles; S13. Using the equivalent stress values ​​and the strap structural parameters as modeling data, a hydrogen storage bottle strap structural prediction model based on the GA-XGBoost algorithm is constructed; the hydrogen storage bottle strap structural prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

2. The method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap according to claim 1 is characterized in that: The method of solving the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles comprises the steps of: S121, importing the three-dimensional model into simulation software, and pre-processing the three-dimensional model; the pre-processing includes: adding material properties, dividing the grid, constraining boundary conditions and setting friction contact; S122, performing modal analysis and modal extraction on the pre-processed three-dimensional model; S123, adding a Random vibration analysis module to the three-dimensional model after the mode extraction, inputting the power spectrum density of each axis of X, Y, and Z, and obtaining the equivalent stress values ​​of the multiple groups of hydrogen storage bottles under random vibration.

3. The method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap according to claim 2 is characterized in that: Constructing the hydrogen storage bottle strap structure prediction model, including: S131, establishing a sample database according to the equivalent stress values ​​of each group and the binding structure parameters; S132, determining a mapping relationship between the binding strap structural parameters and the equivalent stress values ​​in the sample database; S133, using each sample data of the mapping relationship as modeling data to obtain a prediction model of the hydrogen storage bottle strap structure.

4. The method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap according to claim 3 is characterized in that: The strap structure parameters include: Band thickness, band width and the distance between two bands.

5. The method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap according to claim 3 is characterized in that: Constructing the hydrogen storage bottle strap structure prediction model also includes: Verify the effectiveness of the hydrogen storage bottle strap structure prediction model.

6. The method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap according to claim 5 is characterized in that: Verify the validity of the hydrogen storage bottle strap structure prediction model, including: It is determined whether the error between the equivalent stress value output by the hydrogen storage bottle strap structure prediction model and the maximum equivalent stress value calculated under the optimal structural parameters of the strap is within a preset error range.

7. A vehicle-mounted hydrogen storage bottle strap structure optimization device, characterized in that: include: A three-dimensional model building unit, used to randomly generate multiple sets of hydrogen storage bottle strap structural parameters; and establishing a three-dimensional model of the hydrogen storage bottle fixed by the strap according to the strap structural parameters; An equivalent stress solving unit is used to perform random vibration analysis according to the three-dimensional model to solve the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles; A hydrogen storage bottle strap structure prediction model is used to construct a hydrogen storage bottle strap structure prediction model based on a GA-XGBoost algorithm using the equivalent stress values ​​and the strap structure parameters as modeling data; the hydrogen storage bottle strap structure prediction model is used to predict the optimal structural parameters of the hydrogen storage bottle strap.

8. The vehicle-mounted hydrogen storage bottle strap structure optimization device according to claim 7 is characterized in that: The method of solving the equivalent stress values ​​corresponding to the random vibration of the multiple groups of hydrogen storage bottles comprises the steps of: S121, importing the three-dimensional model into simulation software, and pre-processing the three-dimensional model; the pre-processing includes: adding material properties, dividing the grid, constraining boundary conditions and setting friction contact; S122, performing modal analysis and modal extraction on the pre-processed three-dimensional model; S123, adding a Random vibration analysis module to the three-dimensional model after the mode extraction, inputting the power spectrum density of each axis of X, Y, and Z, and obtaining the equivalent stress values ​​of the multiple groups of hydrogen storage bottles under random vibration.

9. A vehicle-mounted hydrogen storage bottle strap structure optimization device, characterized in that: include: Memory for storing computer programs; A processor is used to call and execute the computer program to implement the steps of the method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap as described in any one of claims 1-6.

10. A storage medium, characterized in that: It includes a software program, which is suitable for a processor to execute the steps of the method for optimizing the structure of the vehicle-mounted hydrogen storage bottle strap as described in any one of claims 1 to 6.

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