Vehicle frame optimization method, device and equipment and storage medium

Abstract

The invention discloses a vehicle frame optimization method and device, equipment and a storage medium, and relates to the technical field of vehicle simulation. The method comprises the steps of determining a frame finite element model of a to-be-optimized frame according to a connection relation and material attributes of all parts in the to-be-optimized frame of a target vehicle; based on the frame finite element model, performing frame strength simulation and redundant material removal on the to-be-optimized frame to obtain a lightweight frame and a risk area of the lightweight frame; based on the vehicle frame finite element model, performing vehicle frame safety simulation on the risk area of the lightweight vehicle frame to obtain a target optimization scheme; and according to the target optimization scheme, optimizing the lightweight frame to obtain a target frame. According to the technical scheme, on the basis of finite element simulation calculation, simulation optimization is conducted with the lightweight frame as the target, and lightweight design of the frame is achieved on the premise that the reliability of the frame is guaranteed.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of automotive engineering technology, in particular to the field of vehicle simulation technology, and specifically to a method, device, equipment and storage medium for optimizing a vehicle frame. Background Art

[0002] Currently in the field of new energy commercial vehicles, the vast majority of new energy tractors currently in production use 8mm longitudinal beams. However, the 8mm longitudinal beam solution lacks greater weight reduction potential.

[0003] Currently, the development and application of 7mm longitudinal beams has become a key approach to lightweighting vehicle frames. By optimizing the topology of the reinforcing plate structure within the longitudinal beam, 7mm longitudinal beams not only meet vehicle safety and reliability requirements, but also significantly reduce frame weight, thereby improving vehicle energy efficiency and extending driving range. This also helps reduce raw material consumption and carbon emissions during transportation, aligning with the global trend of green development. However, due to the difficulty in finding a balance between lightweight design and product reliability, 7mm longitudinal beams have not been widely adopted. Summary of the Invention

[0004] The present application provides a vehicle frame optimization method, device, equipment and storage medium to achieve a lightweight design of the frame while ensuring the reliability of the frame.

[0005] According to one aspect of the present application, a method for optimizing a vehicle frame is provided, the method comprising:

[0006] Determining a frame finite element model of the target vehicle frame to be optimized based on the connection relationship and material properties of the components in the target vehicle frame to be optimized;

[0007] Based on the frame finite element model, performing frame strength simulation and redundant material removal on the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame;

[0008] Based on the frame finite element model, a frame safety simulation is performed on the risk area of ​​the lightweight frame to obtain a target optimization solution;

[0009] According to the target optimization scheme, the lightweight frame is optimized to obtain a target frame.

[0010] According to another aspect of the present application, there is provided a vehicle frame optimization device, the device comprising:

[0011] A model determination module, configured to determine a frame finite element model of the target vehicle frame to be optimized based on the connection relationship and material properties of the components in the target vehicle frame to be optimized;

[0012] a material removal module, configured to perform frame strength simulation and redundant material removal on the frame to be optimized based on the frame finite element model, to obtain a lightweight frame and risk areas of the lightweight frame;

[0013] a solution determination module, configured to perform a frame safety simulation on the risk areas of the lightweight frame based on the frame finite element model to obtain a target optimization solution;

[0014] The frame optimization module is used to optimize the lightweight frame according to the target optimization scheme to obtain a target frame.

[0015] According to another aspect of the present application, an electronic device is provided, comprising:

[0016] one or more processors;

[0017] a memory for storing one or more programs;

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement any one of the vehicle frame optimization methods provided in the embodiments of the present application.

[0019] According to another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, any one of the vehicle frame optimization methods provided in the embodiments of the present application is implemented.

[0020] According to another aspect of the present application, a computer program product is provided, including a computer program, which, when executed by a processor, implements any one of the vehicle frame optimization methods provided in the embodiments of the present application.

[0021] This application determines the frame finite element model of the target vehicle's frame to be optimized based on the connection relationships and material properties of the components in the frame to be optimized; based on the frame finite element model, performs frame strength simulation and redundant material removal on the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame; based on the frame finite element model, performs frame safety simulation on the risk areas of the lightweight frame to obtain a target optimization solution; and based on the target optimization solution, optimizes the lightweight frame to obtain a target frame. The above technical solution, through simulation optimization based on finite element simulation calculations and with a lightweight frame as the target, helps to achieve a lightweight design of the frame while ensuring frame reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a flow chart of a vehicle frame optimization method provided according to the first embodiment of the present application;

[0023] Figure 2 is a flow chart of a vehicle frame optimization method provided according to the second embodiment of the present application;

[0024] Figure 3 1 is a schematic structural diagram of a vehicle frame optimization device provided according to the third embodiment of the present application;

[0025] Figure 4 It is a structural diagram of an electronic device for implementing the vehicle frame optimization method of the fourth embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] In addition, it should be noted that in the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of relevant data such as connection relationships and material properties are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0029] Example 1

[0030] Figure 1 This is a flow chart of a vehicle frame optimization method provided in accordance with the first embodiment of the present application. This embodiment is applicable to lightweight optimization of a vehicle frame with a 7mm longitudinal beam. It can be performed by a vehicle frame optimization device. The vehicle frame optimization device can be implemented in the form of hardware and / or software. The vehicle frame optimization device can be configured in a computer device, such as a server. Figure 1 As shown, the method includes:

[0031] S110 , determining a frame finite element model of the frame to be optimized based on the connection relationship and material properties of the components in the frame to be optimized of the target vehicle.

[0032] In this embodiment, the target vehicle refers to a vehicle currently in need of frame lightweighting optimization. A frame to be optimized refers to a vehicle whose current version has not yet been optimally designed during the frame design and manufacturing process. It may contain redundant materials, be heavy, have an unreasonable structure, or fail to fully meet performance requirements. A frame to be optimized typically requires analysis and adjustment to improve its strength, stiffness, weight, safety, and other aspects. The goal of optimization is to achieve an optimal balance of efficiency, economy, and functionality through improved design. Components refer to the individual parts that make up the frame or vehicle, such as brackets, beams, and chassis. Each component plays an integral role in the overall function of the frame, carrying specific forces or providing structural support. Connections refer to the interconnections between frame components, including welding, bolting, and riveting. The strength and stiffness of a frame depend not only on the design of the components themselves, but also on how they are connected and transfer loads. Optimizing these connections is a crucial part of the frame optimization process, directly impacting its overall mechanical properties. Material properties refer to the fundamental performance and characteristics of the materials that make up vehicle frame components, including strength, stiffness, toughness, ductility, and density. Common frame materials include steel, aluminum alloys, high-strength alloys, and carbon fiber. Different material properties determine the frame's performance under various operating conditions. A frame finite element model uses finite element analysis to mathematically model the vehicle frame structure. The frame's geometry, material properties, and connections (such as welds and bolted connections) are converted into a discretized model composed of small units (called finite elements). Each finite element simulates the mechanical behavior of the frame's materials, calculating stress, strain, displacement, and more.

[0033] Optionally, the frame to be optimized in the present application refers to the frame determined after preliminary optimization of the frame longitudinal beams and the number of sections of lightweight materials. It should be noted that the frame to be optimized specifically refers to a frame composed of 7mm longitudinal beams and 6 sections of lightweight materials alternately spliced ​​together.

[0034] Furthermore, the frame to be optimized in the present application has further improved the inner reinforcement plate of the longitudinal beam on the basis of the original frame; specifically, the inner reinforcement plate of the longitudinal beam is designed to be a grooved plate with a width of 286 mm, a depth of 73 mm, a groove depth of 6 mm, and a length extending from the rear of the cab suspension to the rear of the balancing suspension crossbeam.

[0035] For example, a three-dimensional geometric model of the target vehicle's frame to be optimized, including the main beam, reinforcement plates and connecting components, can be created using CAD (Computer-Aided Design) tools; the three-dimensional geometric model is then divided into finite element meshes; the fineness of the mesh should be adjusted according to the stress concentration in key areas; for example, the connecting parts and steering system components require a finer mesh, while less important areas can be appropriately coarse; appropriate material properties are assigned to each component of the frame, such as elastic modulus, density, yield strength, etc. Common materials include high-strength steel, aluminum alloy, etc.

[0036] S120. Based on the frame finite element model, perform frame strength simulation and redundant material removal on the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame.

[0037] In this embodiment, frame strength simulation involves calculating the stress and strain distribution of the frame under external loads (such as acceleration and impact during vehicle operation) to predict whether the frame can withstand these loads without excessive deformation or damage. Frame strength simulation can include at least one of static strength simulation and safety simulation. Static strength simulation is a strength analysis of the frame structure under static loads. Static loads typically refer to various external forces to which a vehicle is subjected when stationary or traveling at low speeds, such as the vehicle's own weight, the weight of passengers, and loads caused by uneven roads. Static strength simulation can assess whether the frame can withstand these loads under normal use without deformation or damage. Frame safety simulation focuses on the performance of the frame under extreme conditions, particularly in the event of a collision or impact. Safety simulation considers not only static loads but also dynamic loads (such as the impact force at the moment of collision and the forces applied during rollover) and the safety of the vehicle in an accident. Redundant material removal involves optimizing the design by removing unnecessary or redundant material from the frame, reducing the mass of the structure while maintaining its strength and functionality. Lightweighting a vehicle frame reduces its overall weight by removing unnecessary material or changing its layout. The goal is to maintain sufficient strength and rigidity while reducing unnecessary mass, thereby improving vehicle performance, reducing energy consumption, and lowering production costs. Risk areas are areas of the frame design that, after strength simulation and optimization, have been identified as potentially vulnerable or subject to excessive loads. These areas may experience deformation, fatigue damage, or fracture during actual vehicle use and therefore require special attention and improvement.

[0038] Exemplarily, a primary simulation analysis is performed on the frame to be optimized, and based on the results of the primary simulation analysis, redundant materials are removed from the frame structure to be optimized to obtain a candidate frame; a secondary simulation analysis is performed on the candidate frame to obtain a lightweight frame and risk areas of the lightweight frame.

[0039] S130. Based on the finite element model of the frame, perform frame safety simulation on the risk areas of the lightweight frame to obtain a target optimization solution.

[0040] In this embodiment, the target optimization solution is a design solution obtained through simulation and analysis, which aims to achieve the established optimization goals (such as lightweight, improved strength, safety, etc.).

[0041] Optionally, based on the frame finite element model, a control variable method is used to perform multiple frame safety simulations on the risk area of ​​the lightweight frame to determine the safety importance of at least one candidate frame variable in the risk area; wherein the candidate frame variable refers to a frame construction factor that affects the safety of the lightweight frame; and a target optimization scheme is determined based on the safety importance of at least one candidate frame variable.

[0042] In this embodiment, the control variable method is an optimization and analysis method. In this method, by keeping some variables unchanged and only changing one or more variables, their impact on the system is studied. The core idea is to analyze the impact of changes in each candidate variable on the frame performance (such as safety, strength, etc.) one by one during multiple simulations, so as to determine which variables have a greater impact on the safety of the frame. Candidate frame variables refer to various design factors or parameters in the frame structure that affect its safety, performance, and weight, such as the choice of frame material, wall thickness, layout of connecting components, etc.; by analyzing these variables, it is possible to determine which factors have a significant impact on the safety of the frame. Safety importance refers to the degree of influence of a candidate frame variable on the safety of the frame; it measures the contribution of the change of the variable to the safety performance of the frame; through multiple simulations, the impact of each candidate frame variable on the overall safety of the frame can be evaluated, so as to determine which variables are the most important and worthy of adjustment during the optimization process.

[0043] Furthermore, for each candidate frame variable, if the safety importance of the candidate frame variable meets the frame adjustment condition, the candidate frame variable is determined as the target frame variable; based on the correspondence between the candidate frame variables and the candidate frame adjustment schemes, the target frame adjustment scheme is determined according to the target frame variable, and the target frame adjustment schemes are arranged and combined to obtain at least one candidate optimization scheme; with the goal of minimizing the weight of the lightweight frame, the target optimization scheme is determined from the at least one candidate optimization scheme.

[0044] In this embodiment, the frame adjustment condition means that in the frame design, only when the safety importance of certain candidate frame variables reaches a certain standard or meets certain conditions, will the variable be considered for adjustment; these conditions are pre-set through a large number of experiments and based on actual conditions or experience values, and can be safety, strength or other related performance requirements. Only variables that meet these conditions will be selected as target frame variables. Permutation and combination is to combine different ways based on a variety of frame adjustment schemes to find the optimal design scheme; this process will consider different combinations of various adjustment schemes and ultimately select the frame design scheme that best meets the goal. Candidate optimization schemes are one or more schemes among the multiple design schemes obtained through permutation and combination; these schemes are based on the frame adjustment schemes and can meet the design goals, such as minimizing frame weight or improving frame safety; by comparing different candidate optimization schemes, the optimal solution can be selected.

[0045] For example, taking a rear-mounted battery new energy tractor as an example, the key factors such as key assembly layout, hole spacing, number of connection points, number of battery frame connection brackets, distribution of large holes for wiring harnesses, and reinforcement plate connection methods are comprehensively considered. The control variables are calculated multiple times, and the influence weights of different influencing factors on the longitudinal beam safety factor (i.e., safety importance) are considered respectively. Since there is a mutually exclusive relationship between some influencing factors, it is necessary to use the form of permutations and combinations to calculate multiple optimization schemes separately, and finally adopt the optimal solution to obtain the target optimization scheme.

[0046] S140. Optimize the lightweight frame according to the target optimization scheme to obtain a target frame.

[0047] In this embodiment, the target vehicle frame is a frame design obtained after improvement and optimization according to the target optimization scheme; while maintaining or enhancing strength and safety, it has advantages such as lightweight and cost-effectiveness, and can meet the performance requirements of the target vehicle.

[0048] The embodiment of the present application determines the frame finite element model of the target vehicle's frame to be optimized based on the connection relationship and material properties of each component in the frame to be optimized; based on the frame finite element model, performs frame strength simulation and redundant material removal on the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame; based on the frame finite element model, performs frame safety simulation on the risk areas of the lightweight frame to obtain a target optimization solution; and according to the target optimization solution, optimizes the lightweight frame to obtain a target frame. The above technical solution, through simulation optimization based on finite element simulation calculation and taking the lightweight frame as the target, helps to achieve a lightweight design of the frame while ensuring the reliability of the frame.

[0049] Example 2

[0050] Figure 2This is a flow chart of a vehicle frame optimization method provided in accordance with Example 2 of the present application. Based on the technical solutions of the above embodiments, this embodiment refines "based on the frame finite element model, frame strength simulation and redundant material removal of the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame" into "based on the frame finite element model, frame static strength simulation of the frame to be optimized under different working conditions to obtain static strength simulation results of the frame to be optimized; based on the static strength simulation results, redundant materials of the frame to be optimized are determined and removed to obtain a lightweight frame; based on the frame finite element model, frame safety simulation of the lightweight frame is performed to obtain safety simulation results, and based on the safety simulation results, the risk areas of the lightweight frame are determined." It should be noted that for the parts not described in detail in the embodiments of the present application, please refer to the relevant statements of other embodiments. Figure 2 As shown, the method includes:

[0051] S210 : Determine a frame finite element model of the target vehicle frame to be optimized based on the connection relationship and material properties of the components in the target vehicle frame to be optimized.

[0052] S220. Based on the finite element model of the frame, perform static strength simulation of the frame to be optimized under different working conditions to obtain static strength simulation results of the frame to be optimized.

[0053] In this embodiment, the static strength simulation results are data obtained through static simulation analysis, mainly including stress, strain, deformation and other indicators of various parts of the frame; they may include stress data and strain data of at least one component in the frame to be optimized; stress data refers to the internal stress state of the component when subjected to external force, usually the force per unit area inside the material, which reflects the internal response of the material after being subjected to force, characterizes whether the material will be damaged or deformed, and is used to judge the strength of the frame components under different load conditions; strain data refers to the degree of deformation of the material under the action of external force, is used to describe the deformation of the frame components, and reflects the elastic or plastic deformation of the material when subjected to load.

[0054] S230. Based on the static strength simulation results, determine and remove redundant materials of the frame to be optimized to obtain a lightweight frame.

[0055] Optionally, for each component in the frame to be optimized, if the stress data and strain data corresponding to the component meet the low-risk conditions at the same time, the frame area where the component is located is determined as a lightweight area; the candidate materials in the lightweight area whose material contribution meets the non-essential material conditions are determined as redundant materials and removed, and reinforcement plate breakpoints are set along the horizontal direction of the vehicle to obtain a lightweight frame.

[0056] In this embodiment, low-risk conditions are pre-defined through extensive experimentation and based on actual conditions or empirical data. For example, stress data can be less than or equal to a stress threshold, and strain data can be less than or equal to a strain threshold. Lightweighting areas refer to regions with relatively low stress and strain requirements. In other words, components in these regions have the potential for weight reduction while still meeting functional and safety requirements. Weight reduction can be achieved by removing excess material. Material contribution refers to the role and contribution of each material to the overall structure. Materials with high contribution play a primary role in the structure, while materials with low contribution may be redundant and less impactful on structural performance. Non-essential material conditions are pre-defined through extensive experimentation and based on actual conditions or empirical data. They are used to screen out certain materials or material components that no longer significantly impact the structure's function or strength, while still meeting performance and safety requirements. Redundant materials refer to materials that, during the design optimization process, may not play an effective role in the structure, or whose removal would have a minimal impact on structural performance. After analysis and evaluation, they can be removed to achieve weight reduction. The reinforcement plate breakpoint refers to the breaking point or transition area of ​​the reinforcement plate set in the horizontal direction of the vehicle during the frame design process in order to meet the needs of lightweighting or optimization; the setting of this breakpoint can reduce the use of materials without affecting the overall performance.

[0057] For example, static strength simulation of the frame assembly is performed based on vertical, lateral, braking, torsion and other working conditions. For rear-mounted battery vehicles, the focus is on braking and torsion conditions. Low-risk areas of static strength safety factor are identified, redundant materials are removed, and L-shaped local reinforcement is adopted for the reinforcement plates in low-risk areas. Other areas are designed according to the stress distribution. At the same time, considering the processability of laser cutting, reinforcement plate breakpoints are set along the X direction of the vehicle, and the intervals are controlled at 1000mm to 1500mm to obtain a lightweight frame.

[0058] S240. Based on the frame finite element model, perform a frame safety simulation on the lightweight frame to obtain a safety simulation result, and determine a risk area of ​​the lightweight frame based on the safety simulation result.

[0059] In this embodiment, the safety simulation results are data obtained through frame safety simulation, mainly including indicators such as strength, deformation, energy absorption, etc. of the frame under extreme working conditions; based on the safety simulation results, potential risk areas of the frame can be identified, and corresponding measures can be taken to optimize them; among them, the safety simulation results may include regional safety factors; regional safety factors refer to a parameter used to evaluate the safety and reliability of structures or components in a specific area, and are an important indicator for evaluating whether a local area is safe under external loads; it helps to evaluate the bearing capacity of different areas and ensure the safety and reliability of the design in actual use; illustratively, the regional safety factor can be the ratio of the stress in a specific area to the yield strength or ultimate strength of the material in that area. The higher the safety factor, the safer the area.

[0060] Optionally, based on the frame finite element model, a frame safety simulation is performed on at least one target lightweight area of ​​the lightweight frame to obtain a regional safety factor of at least one target lightweight area; for each target lightweight area, if the regional safety factor of the target lightweight area does not meet the frame safety conditions, the target lightweight area is determined as a risk area of ​​the lightweight frame.

[0061] In this embodiment, the target lightweighting area refers to the lightweighting area where redundant material has been removed. The frame safety conditions are pre-set based on extensive experiments, actual conditions, or empirical values. They refer to safety standards and specifications that the frame design must meet to ensure that the frame will not be damaged or cause vehicle failure under normal operating conditions. Generally speaking, frame safety conditions include requirements for strength, stiffness, fatigue life, and other aspects. For example, this condition may be that the regional safety factor is less than or equal to a safety factor threshold.

[0062] For example, material removal generally leads to a decrease in the safety factor. A secondary simulation calculation is performed on the lightweight frame, and an area with a safety factor less than 1.2 is selected from the target lightweight area as a risk area of ​​the lightweight frame.

[0063] S250: Based on the finite element model of the frame, a frame safety simulation is performed on the risk areas of the lightweight frame to obtain the target optimization solution.

[0064] S260: Optimize the lightweight frame according to the target optimization plan to obtain a target frame.

[0065] The embodiment of the present application determines the frame finite element model of the frame to be optimized according to the connection relationship and material properties of each component in the frame to be optimized of the target vehicle; based on the frame finite element model, performs frame static strength simulation under different working conditions on the frame to be optimized to obtain static strength simulation results of the frame to be optimized; based on the static strength simulation results, determines the redundant materials of the frame to be optimized and removes them to obtain a lightweight frame; based on the frame finite element model, performs frame safety simulation on the lightweight frame to obtain safety simulation results, and determines the risk area of ​​the lightweight frame based on the safety simulation results; based on the frame finite element model, performs frame safety simulation on the risk area of ​​the lightweight frame to obtain a target optimization scheme; based on the target optimization scheme, optimizes the lightweight frame to obtain a target frame. The above technical solution, by performing simulation optimization with the lightweight frame as the target based on finite element simulation calculation, helps to achieve lightweight design of the frame while ensuring the reliability of the frame.

[0066] Example 3

[0067] Figure 3 This is a schematic diagram of the structure of a vehicle frame optimization device provided in accordance with the third embodiment of the present application, which is applicable to the case of lightweight optimization of a vehicle frame with a 7mm longitudinal beam. The vehicle frame optimization device can be implemented in the form of hardware and / or software, and the vehicle frame optimization device can be configured in a computer device, such as a server. Figure 3 As shown, the device includes:

[0068] A model determination module 310 is used to determine a frame finite element model of the target vehicle frame to be optimized based on the connection relationship and material properties of each component in the target vehicle frame to be optimized;

[0069] A material removal module 320 is configured to perform frame strength simulation and redundant material removal on the frame to be optimized based on the frame finite element model, thereby obtaining a lightweight frame and risk areas of the lightweight frame;

[0070] A solution determination module 330 is used to perform a frame safety simulation on the risk areas of the lightweight frame based on the frame finite element model to obtain a target optimization solution;

[0071] The vehicle frame optimization module 340 is used to optimize the lightweight vehicle frame according to the target optimization solution to obtain a target vehicle frame.

[0072] The embodiment of the present application determines the frame finite element model of the target vehicle's frame to be optimized based on the connection relationship and material properties of each component in the frame to be optimized; based on the frame finite element model, performs frame strength simulation and redundant material removal on the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame; based on the frame finite element model, performs frame safety simulation on the risk areas of the lightweight frame to obtain a target optimization solution; and according to the target optimization solution, optimizes the lightweight frame to obtain a target frame. The above technical solution, through simulation optimization based on finite element simulation calculation and taking the lightweight frame as the target, helps to achieve a lightweight design of the frame while ensuring the reliability of the frame.

[0073] Optionally, the frame strength simulation includes a frame static strength simulation and a frame safety simulation; accordingly, the material removal module 320 includes:

[0074] A static strength simulation unit is used to perform static strength simulation of the frame to be optimized under different working conditions based on the frame finite element model, and obtain static strength simulation results of the frame to be optimized;

[0075] The material removal unit is used to determine and remove redundant materials of the frame to be optimized based on the static strength simulation results to obtain a lightweight frame;

[0076] The risk area determination unit is used to perform a frame safety simulation on the lightweight frame based on the frame finite element model, obtain a safety simulation result, and determine the risk area of ​​the lightweight frame according to the safety simulation result.

[0077] Optionally, the static strength simulation results include stress data and strain data of at least one component in the vehicle frame to be optimized; accordingly, the material removal unit is specifically configured to:

[0078] For each component in the frame to be optimized, if the stress and strain data corresponding to the component meet the low-risk conditions at the same time, the frame area where the component is located is determined as a lightweight area;

[0079] The candidate materials whose material contribution in the lightweight area meets the non-essential material conditions are determined as redundant materials and removed, and reinforcement plate breakpoints are set along the horizontal direction of the vehicle to obtain a lightweight frame.

[0080] Optionally, the safety simulation result includes a regional safety factor; accordingly, the risk area determination unit is specifically configured to:

[0081] Based on the finite element model of the vehicle frame, a vehicle frame safety simulation is performed on at least one target lightweight region of the lightweight vehicle frame to obtain a regional safety factor of the at least one target lightweight region; the target lightweight region is a lightweight region where redundant materials have been removed;

[0082] For each target lightweight area, if the regional safety factor of the target lightweight area does not meet the frame safety conditions, the target lightweight area is determined as a risk area of ​​the lightweight frame.

[0083] Optionally, the solution determination module 330 includes:

[0084] an importance determination unit for performing multiple frame safety simulations on a risk region of the lightweight frame using a control variable method based on a frame finite element model to determine the safety importance of at least one candidate frame variable in the risk region; wherein the candidate frame variable refers to a frame structural factor that affects the safety of the lightweight frame;

[0085] The solution determination unit is used to determine a target optimization solution based on the safety importance of at least one candidate frame variable.

[0086] Optionally, the plan determination unit is specifically configured to:

[0087] For each candidate frame variable, if the safety importance of the candidate frame variable meets the frame adjustment condition, the candidate frame variable is determined as the target frame variable;

[0088] Based on the correspondence between the candidate frame variables and the candidate frame adjustment schemes, a target frame adjustment scheme is determined according to the target frame variables, and the target frame adjustment schemes are arranged and combined to obtain at least one candidate optimization scheme;

[0089] With the goal of minimizing the weight of the lightweight frame, a target optimization solution is determined from at least one candidate optimization solution.

[0090] The vehicle frame optimization device provided in the embodiments of the present application can execute the vehicle frame optimization method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects for executing each vehicle frame optimization method.

[0091] According to an embodiment of the present application, the present application also provides an electronic device, a readable storage medium and a computer program product.

[0092] Example 4

[0093] Figure 44 is a schematic diagram of the structure of an electronic device 410 for implementing the vehicle frame optimization method of an embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or claimed herein.

[0094] like Figure 4 As shown, the electronic device 410 includes at least one processor 411, and a memory connected to the at least one processor 411 in communication, such as a read-only memory (ROM) 412, a random access memory (RAM) 413, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 411 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 412 or the computer program loaded from the storage unit 418 to the random access memory (RAM) 413. Various programs and data required for the operation of the electronic device 410 can also be stored in the RAM 413. The processor 411, ROM 412 and RAM 413 are connected to each other via a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0095] Multiple components in electronic device 410 are connected to I / O interface 415, including an input unit 416, such as a keyboard, mouse, etc.; an output unit 417, such as various types of displays, speakers, etc.; a storage unit 418, such as a magnetic disk, optical disk, etc.; and a communication unit 419, such as a network card, modem, wireless communication transceiver, etc. The communication unit 419 allows electronic device 410 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0096] Processor 411 can be various general-purpose and / or specialized processing components with processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. Processor 411 executes the various methods and processes described above, such as the vehicle frame optimization method.

[0097] In some embodiments, the vehicle frame optimization method can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 418. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 410 via ROM 412 and / or communication unit 419. When the computer program is loaded into RAM 413 and executed by processor 411, one or more steps of the vehicle frame optimization method described above can be performed. Alternatively, in other embodiments, processor 411 can be configured to implement the vehicle frame optimization method in any other suitable manner (e.g., via firmware).

[0098] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0099] Computer programs for implementing the methods of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable vehicle frame optimization device, such that when executed by the processor, the computer programs implement the functions / operations specified in the flowcharts and / or block diagrams. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0100] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. A computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0101] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0102] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0103] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0104] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of this application can be achieved. This is not limited herein.

[0105] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.

Claims

1. A method for optimizing a vehicle frame, characterized in that: include: Determining a frame finite element model of the target vehicle frame to be optimized based on the connection relationship and material properties of the components in the target vehicle frame to be optimized; Based on the frame finite element model, performing frame strength simulation and redundant material removal on the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame; Based on the frame finite element model, a frame safety simulation is performed on the risk area of ​​the lightweight frame to obtain a target optimization solution; According to the target optimization scheme, the lightweight frame is optimized to obtain a target frame.

2. The method according to claim 1, characterized in that The frame strength simulation includes frame static strength simulation and frame safety simulation; accordingly, based on the frame finite element model, the frame strength simulation and redundant material removal are performed on the frame to be optimized to obtain a lightweight frame and risk areas of the lightweight frame, including: Based on the frame finite element model, performing frame static strength simulation under different working conditions on the frame to be optimized to obtain static strength simulation results of the frame to be optimized; According to the static strength simulation results, determining and removing redundant materials of the frame to be optimized to obtain a lightweight frame; Based on the frame finite element model, a frame safety simulation is performed on the lightweight frame to obtain a safety simulation result, and according to the safety simulation result, a risk area of ​​the lightweight frame is determined.

3. The method according to claim 2, characterized in that The static strength simulation result includes stress data and strain data of at least one component of the frame to be optimized; accordingly, based on the static strength simulation result, redundant materials of the frame to be optimized are determined and removed to obtain a lightweight frame, including: For each component in the vehicle frame to be optimized, if the stress data and strain data corresponding to the component simultaneously meet the low-risk condition, then the frame region where the component is located is determined as a lightweight region; The candidate materials whose material contribution in the lightweight area meets the non-essential material condition are determined as redundant materials and removed, and reinforcement plate breakpoints are set along the horizontal direction of the entire vehicle to obtain a lightweight frame.

4. The method according to claim 3, characterized in that The safety simulation result includes a regional safety factor; accordingly, based on the frame finite element model, a frame safety simulation is performed on the lightweight frame to obtain a safety simulation result, and based on the safety simulation result, a risk area of ​​the lightweight frame is determined, including: Based on the frame finite element model, a frame safety simulation is performed on at least one target lightweight region of the lightweight frame to obtain a regional safety factor of the at least one target lightweight region; the target lightweight region is a lightweight region where redundant material has been removed; For each target lightweight region, if the regional safety factor of the target lightweight region does not meet the frame safety condition, the target lightweight region is determined as a risk region of the lightweight frame.

5. The method according to claim 1, characterized in that The frame safety simulation is performed on the risk area of ​​the lightweight frame based on the frame finite element model to obtain a target optimization solution, including: Based on the frame finite element model, a control variable method is used to perform multiple frame safety simulations on the risk area of ​​the lightweight frame to determine the safety importance of at least one candidate frame variable in the risk area; wherein the candidate frame variable refers to a frame structural factor that affects the safety of the lightweight frame; A target optimization solution is determined according to the safety importance of the at least one candidate vehicle frame variable.

6. The method according to claim 5, characterized in that Determining a target optimization solution based on the safety importance of the at least one candidate vehicle frame variable includes: For each candidate frame variable, if the safety importance of the candidate frame variable meets the frame adjustment condition, the candidate frame variable is determined as the target frame variable; Based on the correspondence between the candidate frame variables and the candidate frame adjustment solutions, a target frame adjustment solution is determined according to the target frame variables, and the target frame adjustment solutions are arranged and combined to obtain at least one candidate optimization solution; With the goal of minimizing the weight of the lightweight frame, a target optimization solution is determined from the at least one candidate optimization solution.

7. A vehicle frame optimization device, characterized in that: include: A model determination module, configured to determine a frame finite element model of the target vehicle frame to be optimized based on the connection relationship and material properties of the components in the target vehicle frame to be optimized; a material removal module, configured to perform frame strength simulation and redundant material removal on the frame to be optimized based on the frame finite element model, to obtain a lightweight frame and risk areas of the lightweight frame; a solution determination module, configured to perform a frame safety simulation on the risk areas of the lightweight frame based on the frame finite element model to obtain a target optimization solution; The frame optimization module is used to optimize the lightweight frame according to the target optimization scheme to obtain a target frame.

8. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle frame optimization method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the vehicle frame optimization method according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, which, when executed by a processor, implements the vehicle frame optimization method according to any one of claims 1 to 6.

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