Automobile complex system bolt distribution optimization method and system, electronic equipment and storage medium

Abstract

The invention discloses an automobile complex system bolt distribution optimization method and system, electronic equipment and a storage medium. The method belongs to the technical field of bolt distribution optimization, and comprises the following steps: acquiring external forces of all external connection points of a target vehicle complex system under various load conditions; building a twinning finite element model of the complex system, inputting an external force into the twinning finite element model, and calculating and solving to obtain an actual connection force of a bolt connection point; analyzing the size between the actual connection force and a preset target connection force, and if the actual connection force is greater than the target connection force, increasing the number of bolt connection points in the twin finite element model; performing space design optimization on the twinning finite element model, and optimizing the twinning finite element model; outputting the optimized twin finite element model to obtain the optimal distribution of the bolts of the complex system of the target vehicle; compared with a traditional trial and error method, simulation software is used for virtual analysis and optimization, the design period can be remarkably shortened, and the number of times of physical prototype manufacturing and testing is reduced.

Description

Technical Field

[0001] The present application belongs to the technical field of bolt distribution optimization, and specifically relates to a method, system, electronic device and storage medium for optimizing bolt distribution in a complex automobile system. Background Art

[0002] The battery pack system is an important component in the complex system of new energy vehicles. The battery pack system is usually connected to the frame system or the body system through bolts. If the system structure design is unreasonable, the stiffness of each subsystem is not well matched, and the bolt layout and distribution are unreasonable, the shear force of the bolted joints of each subsystem will be very large, and the bolts are prone to loosening and breaking during use, which reduces the reliability and safety of the vehicle; the manual optimization of bolt force (shear force) is difficult and takes a long time;

[0003] Therefore, an efficient optimization method is urgently needed to realize the bolt distribution of complex systems of new energy vehicles in order to improve vehicle safety and shorten the product development cycle. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a method, system, electronic device and storage medium for optimizing the bolt distribution of a complex automobile system, so as to solve the technical problem of unreasonable bolt distribution in the complex system of new energy vehicles in the prior art, which leads to loosening and breaking of bolts during use.

[0005] In order to solve the above technical problems, this application is implemented as follows:

[0006] In a first aspect, an embodiment of the present application provides a method for optimizing bolt distribution of a complex automobile system, the method comprising:

[0007] Obtain the external forces of all external connection points of the target vehicle complex system under various load conditions;

[0008] Building a twin finite element model of the complex system in simulation software, inputting the external force into the twin finite element model, and obtaining the actual connection force of the bolt connection point in the twin finite element model;

[0009] Analyzing the magnitude between the actual connection force and the preset target connection force, and if the actual connection force is greater than the target connection force, increasing the number of bolt connection points in the twin finite element model;

[0010] Performing spatial design optimization on the twin finite element model after increasing the number of bolt connection points, thereby optimizing the twin finite element model;

[0011] The optimized twin finite element model is output to obtain the optimal distribution of bolts of the target vehicle complex system.

[0012] As an optional implementation manner of the first aspect of the present application, the load conditions include bump conditions and vehicle torsion conditions; the complex system includes a frame system, a battery pack and a battery pack support system, and the twin finite element model includes a frame system sub-model, a battery pack sub-model, and a battery pack support system sub-model.

[0013] As an optional implementation of the first aspect of the present application, the external forces of all external connection points of the target vehicle complex system under various load conditions are obtained, specifically:

[0014] Building a whole vehicle multi-body dynamics model of the target vehicle in a multi-body dynamics software, and placing the whole vehicle multi-body dynamics model on a virtual ground;

[0015] Applying a vertical gravity field of a first preset value to the whole vehicle multi-body dynamics model to solve the external force of the connection point between the assembly consisting of the vehicle frame, the battery pack and the battery pack bracket and other system models under the bump condition;

[0016] A vertical displacement of a second preset value is applied to the centers of two wheels on the front and rear sides of the multi-body dynamics model of the whole vehicle, and vertical displacement constraints are imposed on the other two wheels to solve the external force of the connection point under the torsional working condition of the whole vehicle.

[0017] As an optional implementation of the first aspect of the present application, the steps of building the twin finite element model are as follows:

[0018] Importing the three-dimensional model of the complex system of the target vehicle into the simulation software, switching the processing module to the optistruct processor module, and performing finite element modeling;

[0019] Performing shell element modeling on the shell parts in the three-dimensional model, and performing solid element modeling on the castings of the complex system of the target vehicle;

[0020] The bar unit is used to simulate the bolts in the bolt connection between the frame system, the battery pack and the battery pack bracket system in the three-dimensional model; the external connection point and the complex system are connected through the rb2 unit, and the main node of the rb2 unit is the external connection point.

[0021] As an optional implementation of the first aspect of the present application, the spatial design optimization of the twin finite element model after increasing the number of bolt connection points is specifically as follows:

[0022] After the number of bolt connection points is increased, all bolt connection points in the twin finite element model are numbered and their diameters are defined as variables;

[0023] Setting constraints and optimization objectives for the bolt point connections between the twin finite element models;

[0024] The cancelable bolt connection points are calculated according to the constraint conditions and the optimization target, and the cancelable bolt connection points are deleted to obtain an optimized twin finite element model.

[0025] As an optional implementation of the first aspect of the present application, the optimization target includes a first optimization target and a second optimization target; the constraint condition includes: a ratio of the number of bolt connection points in the optimized twin finite element model to the number of bolt connection points in the twin finite element model is greater than a first preset value;

[0026] The first optimization target represents an optimization target for the bolt connection point between the battery pack bracket sub-model and the battery pack sub-model;

[0027] The second optimization objective represents an optimization objective of the bolt connection point between the frame system sub-model and the battery pack bracket sub-model.

[0028] As an optional implementation manner of the first aspect of the present application, the first optimization goal is specifically:

[0029] minmax(S i / objref(M10));

[0030] The second optimization objective is specifically:

[0031] minmax(S j / objref(M14));

[0032] The Minmax function indicates that the maximum value is output as the minimum value after the optimization conditions and constraint conditions are passed through; S indicates the calculated shear force of the bolt; i indicates the bolt connection point number between the battery pack bracket sub-model and the battery pack sub-model; j indicates the bolt connection point number between the frame system sub-model and the battery pack bracket sub-model; objref indicates the reference value of the allowable shear force, M10 indicates the bolt model between the battery pack bracket sub-model and the battery pack sub-model; M14 indicates the bolt model between the frame system sub-model and the battery pack bracket sub-model; objref(M10) indicates the reference value of the allowable shear force of the bolt between the battery pack bracket sub-model and the battery pack sub-model; objref(M14) indicates the reference value of the allowable shear force of the bolt between the frame system sub-model and the battery pack bracket sub-model.

[0033] In a second aspect, an embodiment of the present application provides a bolt distribution optimization system for a complex automobile system, the system comprising:

[0034] The first acquisition module is used to obtain the external forces of all external connection points of the target vehicle complex system under various load conditions;

[0035] A first modeling module, used for establishing a twin finite element model of the complex system;

[0036] A first processing module, inputting the external force of the external connection point obtained by the first acquisition module into the first modeling module, and obtaining the actual connection force of the bolt connection point in the twin finite element model through simulation calculation;

[0037] A first judging module, for judging the difference between the actual connection force obtained by the first processing module and the preset target connection force;

[0038] A second processing module, if the actual connection force is greater than the preset target connection force, increasing the number of bolt connection points in the twin finite element model;

[0039] The first optimization module optimizes the twin finite element model with bolt connection points added in the second processing module, and deletes the cancelable bolt connection points.

[0040] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0041] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0042] In the embodiments of the present application, precise simulation and analysis are used to ensure that the bolt connection points can withstand the required loads under actual working conditions, thereby reducing the risk of structural damage or accidents caused by failure of bolt connections; by increasing the necessary number of bolts and optimizing the spatial design, materials can be allocated more reasonably to avoid increased costs and weight caused by excessive use of bolts; compared with the traditional trial and error method, the use of simulation software for virtual analysis and optimization can significantly shorten the design cycle and reduce the number of physical prototyping and testing; the simulation model allows designers to simulate and optimize under a variety of working conditions, making the design more flexible and better adapted to different usage environments and needs; by optimizing the bolt distribution and spatial design, the complexity and error rate in the manufacturing process can be reduced, thereby reducing manufacturing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a flow chart of a method for optimizing bolt distribution in a complex automobile system provided by some embodiments of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0045] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here. In addition, the "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally represents that the objects associated with each other are in an "or" relationship.

[0046] In conjunction with the accompanying drawings, a method, system, electronic device and storage medium for optimizing bolt distribution in a complex automobile system provided by an embodiment of the present application are described in detail through specific embodiments and their application scenarios.

[0047] Example

[0048] A bolt distribution optimization method for a complex automobile system comprises the following steps:

[0049] S100: Obtaining external forces of all external connection points of the target vehicle complex system under various load conditions;

[0050] S200: Build a twin finite element model of a complex system in the simulation software, input external force into the twin finite element model, and obtain the actual connection force of the bolt connection point in the twin finite element model;

[0051] Furthermore, the load conditions of S100 and S200 include bump conditions and vehicle torsion conditions; the complex system includes the frame system, battery pack and battery pack bracket system; the twin finite element model includes the frame system sub-model, battery pack sub-model and battery pack bracket system sub-model;

[0052] Furthermore, S100 is specifically:

[0053] S110: Building a whole vehicle multi-body dynamics model of the target vehicle in the multi-body dynamics software, and placing the whole vehicle multi-body dynamics model on the virtual ground;

[0054] S120: applying a vertical gravity field of a first preset value to the multi-body dynamics model of the whole vehicle to solve the external force of the connection points between the assembly consisting of the vehicle frame, the battery pack, and the battery pack bracket and other system models under the bump condition;

[0055] S130: applying a vertical displacement of a second preset value to the centers of two wheels on opposite sides of the multi-body dynamics model of the whole vehicle, constraining the vertical displacement of the other two wheels, and solving the external force of the connection point under the torsional working condition of the whole vehicle;

[0056] Specifically, the first preset value is 3.5g, where g is the acceleration due to gravity; and the second preset value is 100m.

[0057] It should be understood that, based on the above-mentioned feature limitations, in the multi-body dynamics software, a multi-body dynamics model of the whole vehicle is constructed according to the geometric and physical characteristics of the target vehicle; the model should accurately reflect the frame system, battery pack, battery pack bracket system and the connection relationship between them; the constructed multi-body dynamics model of the whole vehicle is placed on the virtual ground to ensure that the parameters such as the contact and friction between the model and the ground are reasonably set to simulate real road conditions; a vertical gravity field of a first preset value is applied to the multi-body dynamics model of the whole vehicle, which is usually equal to the gravity acceleration of the earth, to simulate the state of the vehicle under normal gravity; under the action of the gravity field, the model is dynamically simulated to simulate the vehicle passing through a bump (bump) ; extract the force data of each bolt connection point in the frame system sub-model under the bump condition, including the force direction and magnitude; apply a vertical displacement of a second preset value to the centers of the two wheels on the front and rear sides of the multi-body dynamics model of the whole vehicle to simulate the torsion that may occur when the vehicle is driving on an uneven road; impose vertical displacement constraints on the other two wheels to ensure that the model maintains a certain stability during the torsion process; after applying the vertical displacement and constraint, dynamically simulate the model to simulate the motion state of the whole vehicle under the torsion condition; extract the force data of each external connection point in the frame system sub-model, battery pack sub-model and battery pack bracket system sub-model under the torsion condition of the whole vehicle; that is, the external force at the external connection point.

[0058] It should be noted that by building a multi-body dynamics model of the whole vehicle in the multi-body dynamics software, setting the virtual ground and applying vertical gravity field, vertical displacement and other conditions, the motion state of the vehicle under different working conditions can be simulated more accurately, so as to obtain more realistic external force data; accurate external force data is the basis for subsequent finite element simulation analysis, which helps to improve the accuracy and reliability of the simulation; based on accurate external force data, finite element simulation analysis can identify weak points in the frame system, battery pack assembly and battery pack bracket system, and increase the number of bolt connection points in a targeted manner; reasonable bolt distribution can significantly improve the structural strength and durability of the entire system, especially in bump conditions and vehicle torsion conditions. By optimizing the number and layout of bolts, the use of unnecessary bolts can be reduced while ensuring the structural strength, thereby reducing the manufacturing cost and the weight of the entire system. Using simulation software for virtual analysis and optimization can significantly shorten the design cycle and reduce the number of physical prototypes and tests. At the same time, simulation analysis can provide more detailed and accurate data support to help designers better understand the stress conditions and performance of the system and improve the accuracy and efficiency of the design. The optimized bolt distribution can better adapt to different usage environments and needs, especially in complex and changeable working conditions (such as bump conditions and vehicle torsion conditions). The optimized system can show better adaptability and reliability.

[0059] Furthermore, the steps for building the twin finite element model in S200 are as follows:

[0060] S210: importing the three-dimensional model of the complex system of the target vehicle into the simulation software, switching the processing module to the optistruct processor module, and performing finite element modeling;

[0061] S220: Perform shell element modeling on the shell parts in the 3D model and perform solid element modeling on the castings of the complex system of the target vehicle;

[0062] S230: The bar unit is used to simulate the bolts between the frame system, battery pack and battery pack bracket system in the three-dimensional model; the external connection point and the complex system are connected through the rb2 unit, and the main node of the rb2 unit is the external connection point.

[0063] It should be understood that, based on the above-mentioned feature limitations, in the simulation software, the three-dimensional model of the complex system of the target vehicle is first imported; this usually includes the CAD files of the frame system, battery pack, battery pack bracket system and its related connectors. This step needs to ensure that the geometry, size and connection relationship of the model are consistent with the real system; in the simulation software, the current switching processing module is set to the optistruct processor module; Optistruct is a powerful finite element analysis software, especially suitable for structural optimization and strength analysis; for shell parts in the three-dimensional model (such as part of the shell structure of the frame system, the outer shell of the battery pack, etc.), shell units are used for modeling; shell units can simulate the bending and shear behavior of thin shell structures, which are suitable for analyzing the stress conditions of such parts; for castings in the complex system of the target vehicle (such as the casting structure inside the battery pack), solid units are used for modeling. The solid unit can simulate the internal stress and deformation of the three-dimensional solid structure, and is suitable for analyzing the complex stress conditions of such parts; the bar unit is used to simulate the bolts between the frame system, battery pack and battery pack bracket in the three-dimensional model; the bar unit can simulate the tension, compression and bending behavior of one-dimensional rods, and is suitable for analyzing the stress conditions of such connections; the RB2 unit is used to simulate the external connection points between the assembly consisting of the frame system, battery pack and battery pack bracket and other systems in the three-dimensional model. The RB2 unit is a rigid body-hinge connection unit that can simulate the relative motion and stress conditions between rigid bodies, and is suitable for analyzing such complex connections.

[0064] It should be noted that through precise 3D modeling and unit selection, the geometry and stress conditions of the target vehicle's complex system can be simulated more accurately; reasonable meshing and material property settings can further improve the precision and accuracy of the simulation; through simulation analysis, weak points and potential risks in the frame system, battery pack and battery pack bracket can be identified; optimizing the design based on the simulation results can significantly improve the structural strength and durability of the system; using simulation software for virtual analysis and optimization can significantly shorten the design cycle and reduce the number of physical prototyping and testing.

[0065] S300: analyzing the difference between the actual connection force and the preset target connection force, and if the actual connection force is greater than the target connection force, increasing the number of bolt connection points in the twin finite element model;

[0066] S400: Perform spatial design optimization on the twin finite element model after increasing the number of bolt connection points and optimize the twin finite element model;

[0067] Furthermore, the space design optimization is specifically as follows:

[0068] S410: Number all bolt connection points in the twin finite element model after increasing the number of bolt connection points and define the diameter as a variable;

[0069] S420: Setting constraints and optimization objectives for bolt point connections between twin finite element models;

[0070] S430: Calculate the cancelable bolt connection points according to the constraint conditions and the optimization target, delete the cancelable bolt connection points, and obtain the optimized twin finite element model.

[0071] It should be understood that, based on the above-mentioned feature definition, all bolt connection points in the twin finite element model after increasing the number of bolt connection points are numbered, and the diameter of each bolt is defined as a variable; because numbering helps to track and manage each bolt connection point, and defining the bolt diameter as a variable is for subsequent optimization calculations; by adjusting these variables, we can explore the impact of different bolt sizes on model performance; set constraints and define optimization goals for the bolt point connections between twin finite element models. Constraints ensure that the optimization process is carried out within a reasonable range to avoid unrealistic designs; optimization goals guide the direction of the optimization process to ensure that the final design meets specific performance requirements; use optimization algorithms and finite element analysis software, according to Constraints and optimization goals calculate which bolt connection points can be canceled (i.e. deleted) without affecting the performance of the model. This step is the core of the optimization process and aims to identify those bolt connection points that contribute little to the model performance or are unnecessary, thereby reducing the number of bolts and reducing manufacturing costs while maintaining or improving the performance of the model; based on the calculation results of the previous step, delete those cancelable bolt connection points from the twin finite element model to achieve lightweight and simplified structure of the model while ensuring that the performance of the model meets the design requirements; after deleting the bolt connection points, re-perform finite element analysis to verify whether the performance of the model meets the design requirements; if not, adjust the constraints or optimization goals and repeat the above steps until a satisfactory optimization result is obtained.

[0072] It should be noted that by reducing unnecessary bolt connection points, the lightweight design of the model can be achieved, the weight of the entire vehicle can be reduced, thereby improving fuel economy or extending the range of electric vehicles; reducing the number of bolts means reducing material and manufacturing costs, which helps to improve product competitiveness; simplifying the structure can reduce assembly time and complexity and improve production efficiency; the optimization process ensures that while reducing the number of bolts, the performance of the model (such as structural strength, durability, safety, etc.) is maintained or improved; through spatial design optimization, designers can more easily adjust the bolt layout and number to meet the needs and usage scenarios of different customers.

[0073] Further, the optimization target includes a first optimization target and a second optimization target; the constraint condition includes: a ratio of the number of bolt connection points in the optimized twin finite element model to the number of bolt connection points in the twin finite element model is greater than a first preset value;

[0074] The first optimization target represents the optimization target of the bolt connection point between the battery pack bracket sub-model and the battery pack sub-model;

[0075] The second optimization objective represents the optimization objective of the bolt connection points between the frame system sub-model and the battery pack bracket sub-model.

[0076] It should be understood that, based on the above-mentioned feature definitions, first, according to the first and second optimization objectives, the optimization direction of the bolt connection points between the battery pack bracket sub-model and the battery pack sub-model, and between the frame system sub-model and the battery pack bracket sub-model is determined; then, under the constraint condition of keeping the ratio of the number of bolt connection points greater than the first preset value, the optimization algorithm is used to iteratively optimize the bolt connection points; in each iteration, the performance of the optimized model (such as structural strength, stiffness, weight, etc.) is evaluated, and the optimization parameters are adjusted according to the evaluation results; until a satisfactory optimization result is achieved.

[0077] It should be noted that by reducing unnecessary bolt connection points, the lightweight design of the model can be achieved and the weight of the entire vehicle can be reduced; reducing the number of bolts means reducing material and manufacturing costs, which helps to improve the competitiveness of the product; the optimized connection design may have better stiffness and strength distribution, thereby improving the stability and safety of the entire vehicle structure; the optimization process provides more design freedom, allowing designers to adjust the bolt layout and number according to actual needs.

[0078] Furthermore, the first optimization objective is specifically:

[0079] minmax(S i / objref(M10));

[0080] The second optimization goal is specifically:

[0081] minmax(S j / objref(M14));

[0082] The minmax function indicates that the maximum value is output as the minimum value after the optimization conditions and constraint conditions are met; S indicates the calculated shear force of the bolt; i indicates the bolt connection point number between the battery pack bracket sub-model and the battery pack sub-model; j indicates the bolt connection point number between the frame system sub-model and the battery pack bracket sub-model; objref indicates the reference value of the allowable shear force, M10 indicates the bolt model between the battery pack bracket sub-model and the battery pack sub-model; M14 indicates the bolt model between the frame system sub-model and the battery pack bracket sub-model; objref(M10) indicates the reference value of the allowable shear force of the bolt between the battery pack bracket sub-model and the battery pack sub-model; objref(M14) indicates the reference value of the allowable shear force of the bolt between the frame system sub-model and the battery pack bracket sub-model.

[0083] It should be understood that, based on the above-mentioned feature definition, by using the minmax function on the bolt connection point, the diameter of the bolt is reduced according to the preset conditions. If the diameter of the bolt is reduced to less than 5 mm, it means that the bolt connection point here can be deleted.

[0084] S500: Output the optimized twin finite element model to obtain the optimal bolt distribution of the target vehicle complex system.

[0085] According to one embodiment of the present invention, first, the external force data of all bolt connection points of the target vehicle complex system under various load conditions are collected; this is the starting point of the analysis, and the accuracy of subsequent simulation and optimization depends on these accurate external force data; in the simulation software, according to the complex system of the target vehicle, the corresponding twin finite element model is established. This step is the basis of virtual simulation, simulating the mechanical behavior of the real system; the external force data collected before is input into this twin finite element model to simulate the force under the real working condition; the actual connection force is calculated: the actual connection force of each bolt connection point in the model is obtained through simulation calculation; these actual connection forces are compared with the preset target connection force. The preset target connection force is usually determined based on the design specification and safety margin; increase the number of bolts: if it is found that the actual connection force exceeds the target connection force, it means that the current bolt distribution is insufficient to support the load, and the number of bolt connection points needs to be increased; after increasing the number of bolts, the model is optimized for spatial design to ensure that the layout of the bolts is reasonable and effective, while taking into account factors such as space limitations and manufacturing difficulty; output the optimized model: after completing the above steps, the optimized twin finite element model is output, which represents the optimal distribution of bolts of the target vehicle complex system.

[0086] Through precise simulation and analysis, it is ensured that the bolt connection points can withstand the required loads under actual working conditions, reducing the risk of structural damage or accidents caused by bolt connection failure; by increasing the necessary number of bolts and optimizing the spatial design, materials can be allocated more reasonably to avoid the increase in cost and weight caused by excessive use of bolts; compared with the traditional trial and error method, the use of simulation software for virtual analysis and optimization can significantly shorten the design cycle and reduce the number of physical prototypes and tests; the simulation model allows designers to simulate and optimize under a variety of working conditions, making the design more flexible and better able to adapt to different usage environments and needs; by optimizing bolt distribution and spatial design, the complexity and error rate in the manufacturing process can be reduced, thereby reducing manufacturing costs.

[0087] It should be noted that the embodiment of the present application provides a method for optimizing bolt distribution in a complex automobile system. The execution subject may be a system for optimizing bolt distribution in a complex automobile system, or a control module in the system for optimizing bolt distribution in a complex automobile system for executing and loading a method for optimizing bolt distribution in a complex automobile system. The embodiment of the present application takes a system for optimizing bolt distribution in a complex automobile system for executing and loading a method for optimizing bolt distribution in a complex automobile system as an example to illustrate that the embodiment of the present application provides a method for optimizing bolt distribution in a complex automobile system.

[0088] A bolt distribution optimization system for a complex automobile system, comprising:

[0089] The first acquisition module is used to obtain the external forces of all external connection points of the target vehicle complex system under various load conditions;

[0090] The first modeling module is used to build a twin finite element model of a complex system;

[0091] A first processing module inputs the external force of the external connection point obtained by the first acquisition module into the first modeling module, and simulates and calculates the actual connection force of the bolt connection point in the twin finite element model;

[0092] A first judging module, for judging the difference between the actual connection force obtained by the first processing module and the preset target connection force;

[0093] The second processing module increases the number of bolt connection points in the twin finite element model if the actual connection force is greater than the preset target connection force;

[0094] The first optimization module optimizes the twin finite element model with bolt connection points added in the second processing module, and deletes the cancelable bolt connection points.

[0095] A bolt distribution optimization system for a complex automobile system in an embodiment of the present application may be a device, or a component, integrated circuit, or chip in a terminal. The device may be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device may be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device may be a server, a network attached storage (NAS), a personal computer (PC), etc., which is not specifically limited in the embodiment of the present application.

[0096] A bolt distribution optimization system for a complex automobile system in an embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0097] The bolt distribution optimization system for a complex automobile system provided in the embodiment of the present application can achieve Figure 1 In the method embodiment, each process of implementing a method for optimizing bolt distribution of a complex automobile system is not described here to avoid repetition.

[0098] According to a bolt distribution optimization system for a complex automobile system provided by this embodiment, in the first optimization module, intelligent optimization algorithms such as genetic algorithms and particle swarm algorithms can be introduced to more efficiently find the optimal bolt distribution solution; the system can integrate a real-time monitoring function to collect the force data of the bolt connection points in real time, and dynamically adjust the bolt distribution according to the data changes to improve the adaptability and safety of the system; in the first acquisition module, in addition to considering various load conditions, various factors such as different speeds and different road conditions can also be considered to more comprehensively evaluate the rationality of the bolt distribution; in the optimization process, in addition to considering the number and distribution of bolts, the impact of bolts of different materials on the overall performance of the system can also be considered to select bolt materials with higher cost performance; an intuitive and easy-to-use user interaction interface is designed to facilitate users to view the optimization results of the bolt distribution and manually adjust or set optimization parameters as needed.

[0099] Optionally, an embodiment of the present application also provides an electronic device, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, each process of the above-mentioned embodiment of the method for optimizing the bolt distribution of a complex automobile system is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0100] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned embodiment of a method for optimizing the bolt distribution of a complex automobile system is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0101] The processor is the processor in the electronic device in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0102] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0103] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods of each embodiment of the present application.

[0104] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A bolt distribution optimization method for a complex automobile system, characterized in that: The method comprises: Obtain the external forces of all external connection points of the target vehicle complex system under various load conditions; Building a twin finite element model of the complex system in simulation software, inputting the external force into the twin finite element model, and obtaining the actual connection force of the bolt connection point in the twin finite element model; Analyzing the magnitude between the actual connection force and the preset target connection force, and if the actual connection force is greater than the target connection force, increasing the number of bolt connection points in the twin finite element model; Performing spatial design optimization on the twin finite element model after increasing the number of bolt connection points, thereby optimizing the twin finite element model; The optimized twin finite element model is output to obtain the optimal distribution of bolts of the target vehicle complex system.

2. The method for optimizing bolt distribution of a complex automobile system according to claim 1, characterized in that: The load conditions include bump conditions and vehicle torsion conditions; the complex system includes a frame system, a battery pack and a battery pack bracket system, and the twin finite element model includes a frame system sub-model, a battery pack sub-model, and a battery pack bracket system sub-model.

3. The method for optimizing bolt distribution of a complex automobile system according to claim 2, characterized in that: The external forces of all external connection points of the target vehicle complex system under various load conditions are obtained as follows: Building a whole vehicle multi-body dynamics model of the target vehicle in a multi-body dynamics software, and placing the whole vehicle multi-body dynamics model on a virtual ground; Applying a vertical gravity field of a first preset value to the whole vehicle multi-body dynamics model to solve the external force of the connection point between the assembly consisting of the vehicle frame, the battery pack and the battery pack bracket and other system models under the bump condition; A vertical displacement of a second preset value is applied to the centers of two wheels on the front and rear sides of the multi-body dynamics model of the whole vehicle, and vertical displacement constraints are imposed on the other two wheels to solve the external force of the connection point under the torsional working condition of the whole vehicle.

4. The method for optimizing bolt distribution of a complex automobile system according to claim 2, characterized in that: The steps for building the twin finite element model are as follows: Importing the three-dimensional model of the complex system of the target vehicle into the simulation software, switching the processing module to the optistruct processor module, and performing finite element modeling; Performing shell element modeling on the shell parts in the three-dimensional model, and performing solid element modeling on the castings of the complex system of the target vehicle; The bar unit is used to simulate the bolts in the bolt connection between the frame system, the battery pack and the battery pack bracket system in the three-dimensional model; the external connection point and the complex system are connected through the rb2 unit, and the main node of the rb2 unit is the external connection point.

5. A method for optimizing bolt distribution of a complex automobile system according to claim 2, characterized in that: The spatial design optimization of the twin finite element model after increasing the number of bolt connection points is specifically as follows: After the number of bolt connection points is increased, all bolt connection points in the twin finite element model are numbered and their diameters are defined as variables; Setting constraints and optimization objectives for the bolt point connections between the twin finite element models; The cancelable bolt connection points are calculated according to the constraint conditions and the optimization target, and the cancelable bolt connection points are deleted to obtain an optimized twin finite element model.

6. A method for optimizing bolt distribution of a complex automobile system according to claim 5, characterized in that: The optimization target includes a first optimization target and a second optimization target; the constraint condition includes: a ratio of the number of bolt connection points in the optimized twin finite element model to the number of bolt connection points in the twin finite element model is greater than a first preset value; The first optimization target represents an optimization target for the bolt connection point between the battery pack bracket sub-model and the battery pack sub-model; The second optimization objective represents an optimization objective of the bolt connection point between the frame system sub-model and the battery pack bracket sub-model.

7. A method for optimizing bolt distribution of a complex automobile system according to claim 6, characterized in that: The first optimization goal is specifically: minmax(S i / objref(M10)); The second optimization objective is specifically: minmax(S j / objref(M14)); The Minmax function indicates that the maximum value is output as the minimum value after the optimization conditions and constraint conditions are met; S indicates the calculated shear force of the bolt; i indicates the bolt connection point number between the battery pack bracket sub-model and the battery pack sub-model; j indicates the bolt connection point number between the frame system sub-model and the battery pack bracket sub-model; objref indicates the reference value of the allowable shear force, M10 indicates the bolt model between the battery pack bracket sub-model and the battery pack sub-model; M14 indicates the bolt model between the frame system sub-model and the battery pack bracket sub-model; objref(M10) indicates the reference value of the allowable shear force of the bolt between the battery pack bracket sub-model and the battery pack sub-model; objref(M14) indicates the reference value of the allowable shear force of the bolt between the frame system sub-model and the battery pack bracket sub-model.

8. A bolt distribution optimization system for a complex automobile system, capable of implementing a bolt distribution optimization method for a complex automobile system as claimed in any one of claims 1 to 7, characterized in that: The system comprises: The first acquisition module is used to obtain the external forces of all external connection points of the target vehicle complex system under various load conditions; A first modeling module, used for establishing a twin finite element model of the complex system; A first processing module, inputting the external force of the external connection point obtained by the first acquisition module into the first modeling module, and obtaining the actual connection force of the bolt connection point in the twin finite element model through simulation calculation; A first judging module, for judging the difference between the actual connection force obtained by the first processing module and the preset target connection force; A second processing module, if the actual connection force is greater than the preset target connection force, increasing the number of bolt connection points in the twin finite element model; The first optimization module optimizes the twin finite element model with bolt connection points added in the second processing module, and deletes the cancelable bolt connection points.

9. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of a method for optimizing bolt distribution of a complex automobile system as described in claims 1-7 are implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores programs or instructions, and when the programs or instructions are executed by the processor, the steps of the method for optimizing bolt distribution of a complex automobile system as described in claims 1-7 are implemented.

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