Vehicle front longitudinal beam assembly collision posture prediction method and device and electronic equipment

CN122926602APending Publication Date: 2026-10-16CHINA FAW CO LTD
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Patent Information

Application Number
CN202610777460.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-01
Publication Date
2026-10-16

AI Technical Summary

Technical Problem

[0005]本申请提供一种车辆前纵梁总成碰撞姿态预测方法、装置及电子设备,以解决相关技术中的方法整车模型计算成本较高、严重浪费计算资源且优化周期较长的问题,大幅降低计算成本,并缩短优化周期

Benefits of technology

[0021]本申请第四方面实施例提供一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行,以用于实现第一方面实施例所述的车辆前纵梁总成碰撞姿态预测方法。

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Abstract

The application relates to the technical field of vehicles, in particular to a vehicle front longitudinal beam assembly collision posture prediction method and device and electronic equipment, which comprises the following steps: dividing a to-be-predicted front longitudinal beam assembly into a first prediction region and a second prediction region, wherein the first prediction region comprises a first subregion and a second subregion; determining a minimum average crushing force of the first prediction region and a minimum critical average crushing force in the first prediction region and the second prediction region, and judging whether the minimum average crushing force is less than the minimum critical average crushing force; if the minimum average crushing force is greater than the minimum critical average crushing force, recording a current bending position and stopping current prediction, otherwise, obtaining a prediction result according to a position corresponding to the minimum average crushing force based on a preset first prediction strategy. Thus, the problems of high vehicle model calculation cost, serious waste of calculation resources and long optimization period in the related art are solved, the calculation cost is greatly reduced, and the optimization period is shortened.
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Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, device and electronic equipment for predicting the collision attitude of a vehicle front longitudinal beam assembly. Background Technology

[0002] Currently, in a 100% frontal collision, the central force transmission path (bumper beam - energy-absorbing box - front longitudinal beam - floor) undertakes the main energy absorption task; the deformation mode of the energy-absorbing box being crushed in stages, the front section of the longitudinal beam being fully collapsed, and the rear section being bent in an orderly manner can efficiently absorb collision energy, effectively reduce the peak acceleration of the whole vehicle and reduce the intrusion of the passenger compartment.

[0003] In related technologies, finite element simulation analysis of a 100% frontal collision of the entire vehicle is usually used to obtain the deformation posture of the front longitudinal beam assembly during the collision process and to determine whether it meets the expected target requirements. If the deformation posture is not good and the energy absorption effect is insufficient, the structure of the front longitudinal beam assembly needs to be optimized and improved.

[0004] However, since the adjustment of the deformation posture of the front longitudinal beam assembly requires repeated iterations, the methods in related technologies have high computational costs for the whole vehicle model, seriously waste computational resources, and have long optimization cycles, which urgently need to be solved. Summary of the Invention

[0005] This application provides a method, device, and electronic device for predicting the collision attitude of a vehicle's front longitudinal beam assembly, in order to solve the problems of high computational cost, serious waste of computational resources, and long optimization cycle in related technologies, thereby significantly reducing computational cost and shortening the optimization cycle.

[0006] The first aspect of this application provides a method for predicting the collision attitude of a vehicle's front longitudinal beam assembly, including the following steps: The front longitudinal beam assembly to be predicted is divided into a first prediction region and a second prediction region, wherein the first prediction region includes a first sub-region and a second sub-region. Determine the minimum average crushing force in the first prediction region, and the minimum critical average crushing force in the first and second prediction regions, and determine whether the minimum average crushing force is less than the minimum critical average crushing force. If the minimum average crushing force is greater than the minimum critical average crushing force, the current bending position is recorded and the current prediction is stopped; otherwise, the prediction result is obtained based on the position corresponding to the minimum average crushing force according to the preset first prediction strategy.

[0007] Optionally, in some embodiments, based on a preset first prediction strategy, the prediction result is obtained according to the location corresponding to the minimum average crushing force, including: Determine whether the location corresponding to the minimum average crushing force is within the first sub-region; If the location corresponding to the minimum average crushing force is in the first sub-region, then the location corresponding to the minimum average crushing force is taken as the first crushing location of the energy-absorbing box; otherwise, the current crushing location is recorded and the current prediction is stopped.

[0008] Optionally, in some embodiments, after designating the location corresponding to the minimum average crushing force as the first crushing location of the energy-absorbing box, the method further includes: Remove the crushing force and critical crushing force within the longitudinal range of a folding unit in the direction of the rear of the vehicle body from the first crushing position of the energy-absorbing box, and determine the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force, and determine whether the new minimum average crushing force is greater than the new minimum critical average crushing force. If the new minimum average crushing force is greater than the new minimum critical average crushing force, the current bending position is recorded and the current prediction is stopped; otherwise, based on the preset second prediction strategy, the prediction result is obtained according to the position corresponding to the new minimum average crushing force.

[0009] Optionally, in some embodiments, based on a preset second prediction strategy, the prediction result is obtained according to the location corresponding to the new minimum average crushing force, including: Determine whether the location corresponding to the new minimum average crushing force is within the first sub-region; If the location corresponding to the new minimum average crushing force is in the first sub-region, then the location corresponding to the new minimum average crushing force is taken as the second crushing location of the energy-absorbing box. After deleting the crushing force and critical crushing force within the longitudinal range of one folding unit in the direction of the second crushing location of the energy-absorbing box to the rear of the vehicle body, the step of determining the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force is performed until the location corresponding to the final minimum average crushing force is not in the first sub-region, and the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force are determined. Prediction is made based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force.

[0010] Optionally, in some embodiments, prediction is made based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force, including: Determine whether the bending moment is greater than or equal to the product of the ultimate bending moment and the preset value; If the bending moment is greater than or equal to the product of the ultimate bending moment and the preset value, the current bending position is recorded and the current prediction is stopped. Otherwise, the position corresponding to the final minimum average crushing force is taken as the first crushing position of the front longitudinal beam. The crushing force and critical crushing force within the longitudinal length of a folding unit in the direction of the vehicle body rearward from the first crushing position of the front longitudinal beam are deleted, and a prediction is made based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force.

[0011] Optionally, in some embodiments, prediction is made based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force, including: Determine whether the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force; If the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force, record the current bending position and stop the current prediction. Otherwise, record the second crushing position of the front longitudinal beam and delete the crushing force and critical crushing force within the longitudinal length of a folding unit in the direction of the second crushing position of the front longitudinal beam toward the rear of the vehicle body. This will result in a new remaining minimum average crushing force and a new remaining minimum critical average crushing force, until the final remaining minimum average crushing force is greater than the final remaining minimum critical average crushing force.

[0012] Optionally, in some embodiments, determining the minimum average crushing force in the first predicted region, and the minimum critical average crushing force in both the first and second predicted regions, includes: Calculate the average crushing force at least one cross section within the first prediction region; Calculate at least one critical average crushing force that causes the stress on the compressive side of the bending at the variable diameter position of at least one section of the first and second prediction regions to reach the preset critical bending compressive stress. The minimum average crushing force is determined based on the average crushing force of at least one cross section, and the minimum critical average crushing force is determined based on at least one critical average crushing force.

[0013] A second aspect of this application provides a collision attitude prediction device for a vehicle front longitudinal beam assembly, comprising: The segmentation module is used to divide the front longitudinal beam assembly to be predicted into a first prediction region and a second prediction region, wherein the first prediction region includes a first sub-region and a second sub-region. The judgment module is used to determine the minimum average crushing force in the first prediction region, the minimum critical average crushing force in the first prediction region and the second prediction region, and to determine whether the minimum average crushing force is less than the minimum critical average crushing force. The prediction module is used to record the current bending position and stop the current prediction when the minimum average crushing force is greater than the minimum critical average crushing force; otherwise, it obtains the prediction result based on the position corresponding to the minimum average crushing force according to the preset first prediction strategy.

[0014] Optionally, in some embodiments, the prediction module is specifically used for: Determine whether the location corresponding to the minimum average crushing force is within the first sub-region; If the location corresponding to the minimum average crushing force is in the first sub-region, then the location corresponding to the minimum average crushing force is taken as the first crushing location of the energy-absorbing box; otherwise, the current crushing location is recorded and the current prediction is stopped.

[0015] Optionally, in some embodiments, after determining the location corresponding to the minimum average crushing force as the first crushing location of the energy-absorbing box, the prediction module is further configured to: Remove the crushing force and critical crushing force within the longitudinal range of a folding unit in the direction of the rear of the vehicle body from the first crushing position of the energy-absorbing box, and determine the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force, and determine whether the new minimum average crushing force is greater than the new minimum critical average crushing force. If the new minimum average crushing force is greater than the new minimum critical average crushing force, the current bending position is recorded and the current prediction is stopped; otherwise, based on the preset second prediction strategy, the prediction result is obtained according to the position corresponding to the new minimum average crushing force.

[0016] Optionally, in some embodiments, the prediction module is specifically used for: Determine whether the location corresponding to the new minimum average crushing force is within the first sub-region; If the location corresponding to the new minimum average crushing force is in the first sub-region, then the location corresponding to the new minimum average crushing force is taken as the second crushing location of the energy-absorbing box. After deleting the crushing force and critical crushing force within the longitudinal range of one folding unit in the direction of the second crushing location of the energy-absorbing box to the rear of the vehicle body, the step of determining the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force is executed until the location corresponding to the final minimum average crushing force is not in the first sub-region, and the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force are determined. Prediction is made based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force.

[0017] Optionally, in some embodiments, the prediction module is specifically used for: Determine whether the bending moment is greater than or equal to the product of the ultimate bending moment and the preset value; If the bending moment is greater than or equal to the product of the ultimate bending moment and the preset value, the current bending position is recorded and the current prediction is stopped. Otherwise, the position corresponding to the final minimum average crushing force is taken as the first crushing position of the front longitudinal beam. The crushing force and critical crushing force within the longitudinal length of a folding unit in the direction of the vehicle body rearward from the first crushing position of the front longitudinal beam are deleted, and a prediction is made based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force.

[0018] Optionally, in some embodiments, the prediction module is specifically used for: Determine whether the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force; If the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force, record the current bending position and stop the current prediction. Otherwise, record the second crushing position of the front longitudinal beam and delete the crushing force and critical crushing force within the longitudinal length of a folding unit in the direction of the second crushing position of the front longitudinal beam toward the rear of the vehicle body. This will result in a new remaining minimum average crushing force and a new remaining minimum critical average crushing force, until the final remaining minimum average crushing force is greater than the final remaining minimum critical average crushing force.

[0019] Optionally, in some embodiments, the determination module is specifically used for: Calculate the average crushing force at least one cross section within the first prediction region; Calculate at least one critical average crushing force that causes the stress on the compressive side of the bending at the variable diameter position of at least one section of the first and second prediction regions to reach the preset critical bending compressive stress. The minimum average crushing force is determined based on the average crushing force of at least one cross section, and the minimum critical average crushing force is determined based on at least one critical average crushing force.

[0020] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the vehicle front longitudinal beam assembly collision attitude prediction method described in the first aspect embodiment.

[0021] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the vehicle front longitudinal beam assembly collision attitude prediction method described in the first aspect embodiment.

[0022] Therefore, this embodiment of the application can predict the collision attitude of the front longitudinal beam assembly using dynamic methods. By combining theories such as super-folded elements and bending crushing, the collision deformation attitude prediction region is divided and the Y-axis and Z-axis cross-sectional diameter change positions are marked. This effectively narrows the prediction range and improves prediction efficiency. Furthermore, for undesirable collision attitudes, prediction can be directly recorded and terminated, which can shorten the optimization cycle to some extent. The predictable collision attitudes include at least the following: (1) The front longitudinal beam assembly did not experience axial crushing, but instead underwent direct bending deformation.

[0023] (2) The energy-absorbing box did not experience axial crushing, but the front section of the front longitudinal beam structure had already crushed.

[0024] (3) The energy-absorbing box underwent one axial crushing, but the front section of the front longitudinal beam did not crush, and the front longitudinal beam directly underwent bending deformation.

[0025] (4) The energy-absorbing box collapsed in stages. The front section of the longitudinal beam did not collapse but was bent due to severe eccentric load.

[0026] (5) The energy-absorbing box is crushed in stages. The front section of the front longitudinal beam is crushed once, and the middle and rear sections of the front longitudinal beam are bent and deformed.

[0027] (6) The energy-absorbing box was crushed in stages, and the front section of the front longitudinal beam was crushed multiple times, while the middle and rear sections of the front longitudinal beam were bent and deformed.

[0028] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0029] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a collision attitude prediction method for a vehicle front longitudinal beam assembly according to an embodiment of this application; Figure 2 This is a structural schematic diagram of a vehicle front longitudinal beam assembly according to an embodiment of this application; Figure 3 This is a schematic diagram of a front longitudinal beam assembly with variable diameter in the Y direction according to an embodiment of this application; Figure 4 This is a schematic diagram of a front longitudinal beam assembly with variable diameter in the Z direction according to an embodiment of this application; Figure 5 This is a flowchart of a collision attitude prediction method for a vehicle front longitudinal beam assembly according to an embodiment of this application; Figure 6 This is a block diagram of a vehicle front longitudinal beam assembly collision attitude prediction device according to an embodiment of this application; Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0030] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0031] The following description, with reference to the accompanying drawings, outlines a method, apparatus, and electronic device for predicting the collision attitude of a vehicle front longitudinal beam assembly according to embodiments of this application. Addressing the issues of high computational cost, significant waste of computational resources, and long optimization cycles associated with methods in the related technologies mentioned in the background, this application provides a method for predicting the collision attitude of a vehicle front longitudinal beam assembly. This method divides the front longitudinal beam assembly to be predicted into a first prediction region and a second prediction region. If the minimum average crushing force in the first prediction region is greater than the minimum critical average crushing force in both the first and second prediction regions, the current bending position is recorded, and the current prediction is stopped. Otherwise, based on a preset first prediction strategy, the prediction result is obtained according to the position corresponding to the minimum average crushing force. This solves the problems of high computational cost, significant waste of computational resources, and long optimization cycles associated with methods in the related technologies, significantly reducing computational costs and shortening the optimization cycle.

[0032] Specifically, Figure 1 A flowchart of a collision attitude prediction method for a vehicle front longitudinal beam assembly provided in an embodiment of this application.

[0033] like Figure 1 As shown, the collision attitude prediction method for the front longitudinal beam assembly of this vehicle includes the following steps: In step S101, the front longitudinal beam assembly to be predicted is divided into a first prediction region and a second prediction region, wherein the first prediction region includes a first sub-region and a second sub-region.

[0034] Specifically, Figure 2 This is a structural schematic diagram of a vehicle front longitudinal beam assembly provided in one embodiment of this application. Figure 2 As shown, the vehicle's front longitudinal beam assembly includes a first prediction region A and a second prediction region B. The first prediction region A includes a first sub-region A1 and a second sub-region A2. In this embodiment, the front longitudinal beam assembly to be predicted (i.e., the front longitudinal beam assembly collision deformation posture prediction region) can be divided into regions. The region between the foremost point P of the vehicle body where the shock absorber tower connects to the front longitudinal beam and the foremost point of the energy-absorbing box is defined as the first prediction region. The first prediction region includes the energy-absorbing box and the front section of the longitudinal beam structure, and mainly experiences axial crushing and lateral bending deformation. The region between the foremost point of the vehicle body where the shock absorber tower connects to the front longitudinal beam and the root of the front longitudinal beam is defined as the second prediction region. The second prediction region mainly experiences lateral bending and longitudinal bending deformation.

[0035] Furthermore, in the first prediction region, the embodiments of this application can, based on the super-folded unit theory, remove half the longitudinal length H of the folded unit from both the front and rear ends of the energy-absorbing box and the front longitudinal beam front section structure, define the remaining part of the energy-absorbing box as the first sub-region, and define the remaining part of the front longitudinal beam front section structure as the second sub-region.

[0036] In step S102, the minimum average crushing force of the first prediction region and the minimum critical average crushing force in the first prediction region and the second prediction region are determined, and it is determined whether the minimum average crushing force is less than the minimum critical average crushing force.

[0037] In some embodiments, determining the minimum average crushing force of the first predicted region and the minimum critical average crushing force in the first and second predicted regions includes: calculating the average crushing force of at least one cross-section in the first predicted region; calculating at least one critical average crushing force that causes the stress on the bending and compressive side of at least one cross-section in the first and second predicted regions to reach a preset critical bending compressive stress; determining the minimum average crushing force based on the average crushing force of at least one cross-section, and determining the minimum critical average crushing force based on at least one critical average crushing force.

[0038] The preset critical compressive stress is a pre-set critical compressive stress that can cause bending instability at the cross-sectional diameter change position.

[0039] Specifically, such as Figure 3 and Figure 4 As shown, Figure 3 This is a schematic diagram of a front longitudinal beam assembly with variable diameter in the Y direction, provided in one embodiment of this application. Figure 4 This is a schematic diagram of a Z-direction diameter change in a front longitudinal beam assembly, provided as an embodiment of this application. This embodiment of the application allows for marking the locations of diameter changes in the cross-section of the front longitudinal beam assembly, including both Y-direction and Z-direction diameter changes.

[0040] Furthermore, the embodiments of this application first require calculating the average crushing force of each section within the first prediction region. And at least one critical average crushing force that causes the stress on the bending compression side of each cross-section at the diameter change position of the first and second prediction regions to reach the preset bending critical compressive stress. Next, the average crushing force of each section is... and at least one critical average crushing force Sort them and compare their minimum values.

[0041] In step S103, if the minimum average crushing force is greater than the minimum critical average crushing force, the current bending position is recorded and the current prediction is stopped; otherwise, based on the preset first prediction strategy, the prediction result is obtained according to the position corresponding to the minimum average crushing force.

[0042] In some embodiments, based on a preset first prediction strategy, the prediction result is obtained according to the location corresponding to the minimum average crushing force, including: determining whether the location corresponding to the minimum average crushing force is in the first sub-region; if the location corresponding to the minimum average crushing force is in the first sub-region, then the location corresponding to the minimum average crushing force is taken as the first crushing location of the energy-absorbing box; otherwise, the current crushing location is recorded and the current prediction is stopped.

[0043] Specifically, embodiments of this application can achieve minimum average crushing force. Greater than the minimum critical average crushing force In the case of minimum average crushing force, record the current bending location and type and end the current prediction; Less than the minimum critical average crushing force In this case, it is determined that the front longitudinal beam has undergone bending deformation.

[0044] Furthermore, in this embodiment, the minimum average crushing force can be determined based on the premise that the front longitudinal beam has undergone bending deformation. Whether the corresponding location is within the first sub-region, if the minimum average crushing force If the corresponding location is within the first sub-region, then the minimum average crushing force will be... The corresponding position is designated as the first crushing point of the energy-absorbing box, if the minimum average crushing force... If the corresponding position is not within the first sub-region, it is determined that the front section of the front longitudinal beam has experienced axial crushing, the current crushing position is recorded, and the current prediction ends.

[0045] Therefore, the poor deformation posture of the front longitudinal beam in the initial design stage is mainly due to two reasons: First, to avoid components such as the tire envelope and powertrain, there is a sudden change in the cross-sectional dimensions of the middle and rear sections of the front longitudinal beam, resulting in uneven stiffness along its length. This easily leads to the phenomenon that the front section is not fully crushed while the rear section is severely bent. Second, the stiffness of the energy-absorbing box and the front section of the front longitudinal beam are mismatched or the cross-sectional dimensions differ significantly, causing the energy-absorbing box to collapse prematurely before fully crushing the front longitudinal beam, or the front section of the front longitudinal beam to bear a large eccentric load, resulting in bending deformation instead of ideal axial crushing. The embodiments of this application can determine whether the prediction effect meets the standard, adjust the front longitudinal beam assembly parameters for schemes that do not meet the requirements, and re-predict. After obtaining the ideal deformation posture through multiple iterations, a finite element analysis of the vehicle model collision can be performed to obtain a stable and ideal deformation effect, effectively shortening the optimization cycle. In addition, the embodiments of this application can be applied to the vehicle concept design stage, quickly identifying design defects and providing optimization directions, reducing the workload in the detailed design stage.

[0046] Furthermore, to enable those skilled in the art to better understand the vehicle front longitudinal beam assembly collision attitude prediction method of this application, the following description is provided in conjunction with specific embodiments.

[0047] Optionally, in some embodiments, after determining the position corresponding to the minimum average crushing force as the first crushing position of the energy-absorbing box, the method further includes: deleting the crushing force and critical crushing force within the longitudinal range of a folding unit in the direction of the first crushing position of the energy-absorbing box toward the rear of the vehicle body, and determining a new minimum average crushing force and a new minimum critical average crushing force from the remaining crushing forces, and determining whether the new minimum average crushing force is greater than the new minimum critical average crushing force; if the new minimum average crushing force is greater than the new minimum critical average crushing force, then the current bending position is recorded and the current prediction is stopped; otherwise, based on the preset second prediction strategy, the prediction result is obtained according to the position corresponding to the new minimum average crushing force.

[0048] In some embodiments, based on a preset second prediction strategy, the prediction result is obtained according to the location corresponding to the new minimum average crushing force, including: determining whether the location corresponding to the new minimum average crushing force is in the first sub-region; if the location corresponding to the new minimum average crushing force is in the first sub-region, then the location corresponding to the new minimum average crushing force is taken as the second crushing location of the energy-absorbing box, and after deleting the crushing force and critical crushing force within the longitudinal range of one folding unit in the direction of the second crushing location of the energy-absorbing box to the rear of the vehicle body, the step of determining the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force is performed until the location corresponding to the final minimum average crushing force is not in the first sub-region, and the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force are determined; prediction is performed based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force.

[0049] In some embodiments, prediction is made based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force. This includes: determining whether the bending moment is greater than or equal to the product of the ultimate bending moment and a preset value; if the bending moment is greater than or equal to the product of the ultimate bending moment and the preset value, the current bending position is recorded and the current prediction is stopped; otherwise, the position corresponding to the final minimum average crushing force is taken as the first crushing position of the front longitudinal beam, the crushing force and critical crushing force within the longitudinal length of a folding unit in the direction of the first crushing position of the front longitudinal beam toward the rear of the vehicle body are deleted, and prediction is made based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force.

[0050] In some embodiments, prediction is made based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force, including: determining whether the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force; if the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force, then the current bending position is recorded and the current prediction is stopped; otherwise, the second crushing position of the front longitudinal beam is recorded, and the crushing force and critical crushing force within the longitudinal length range of one folding unit in the direction of the second crushing position of the front longitudinal beam toward the rear of the vehicle body are deleted, so as to obtain the new remaining minimum average crushing force and the new remaining minimum critical average crushing force, until the final remaining minimum average crushing force is greater than the final remaining minimum critical average crushing force.

[0051] Among them, the bending moment is the bending moment of the front longitudinal beam section subjected to the energy-absorbing box; the ultimate bending moment is the maximum bending moment that the front longitudinal beam section can withstand when it fails in bending; the product of the preset values ​​is the pre-set ratio judgment condition between the ultimate bending moment and the bending moment.

[0052] Specifically, embodiments of this application can determine the minimum average crushing force. Provided the corresponding location is within the first sub-region, delete the crushing force within a 2H longitudinal range of a folding unit in the direction of the vehicle body rearward from the first crushing location of the energy-absorbing box. and critical crushing force and the remaining crushing force and the remaining critical crushing force Sort the data, compare the minimum values ​​of each group, and determine the new minimum average crushing force. Is it greater than the new minimum critical average crushing force? .

[0053] Furthermore, embodiments of this application can achieve a new minimum average crushing force. Greater than the new minimum critical average crushing force When the front longitudinal beam is determined to have undergone bending deformation, the current bending location and type are recorded, and the current prediction ends; at the new minimum average crushing force... Less than the new minimum critical average crushing force At that time, determine the new minimum average crushing force. Whether the corresponding position is within the first sub-region.

[0054] Furthermore, embodiments of this application can achieve a new minimum average crushing force. When the corresponding location is within the first sub-region, the new minimum average crushing force will be... The corresponding location is designated as the second crushing point of the energy-absorbing box, and the crushing force within a 2H longitudinal range of a folding unit in the rearward direction of the second crushing point of the energy-absorbing box is re-executed. and critical crushing force The steps continue until the final minimum average crushing force is reached. If the corresponding location is not in the first sub-region, record the current crushing location and stop the current prediction. Additionally, this embodiment of the application can also determine the final minimum average crushing force. When the corresponding location is not within the first sub-region, calculate the final minimum average crushing force. The bending moment M and the ultimate bending moment that the section can withstand. .

[0055] Furthermore, embodiments of this application can be implemented when the bending moment M is greater than or equal to the ultimate bending moment. When multiplying with the preset value, it is determined that the front section of the longitudinal beam has undergone bending deformation, the current bending position is recorded, and the current prediction ends. This is done when the bending moment M is less than the ultimate bending moment. The product of the preset value (e.g.) When the final minimum average crushing force is reached, The corresponding position is designated as the first point of crushing of the front longitudinal beam.

[0056] Furthermore, embodiments of this application can be implemented when the bending moment M is less than the ultimate bending moment. Under the premise of multiplying with the preset value, delete the crushing force within a longitudinal length of 2H of the folding unit in the direction of the vehicle body rearward from the first crushing position of the front longitudinal beam. and critical crushing force and the remaining crushing force and the current remaining critical crushing force Sort them and compare their minimum values.

[0057] Furthermore, embodiments of this application can utilize the current remaining minimum average crushing force. Greater than the current remaining minimum critical average crushing force When the front longitudinal beam is determined to have undergone bending deformation, the current bending location and type are recorded, and the current prediction ends. The minimum average crushing force remains at the current value. Less than the current remaining minimum critical average crushing force At that time, the current remaining minimum average crushing force will be... The corresponding position is designated as the second crushing point of the front longitudinal beam, and the crushing force within a folding unit with a longitudinal length of 2H in the direction of the second crushing point of the front longitudinal beam towards the rear of the vehicle is deleted again. and critical crushing force The new remaining minimum average crushing force is obtained. and the new remaining minimum critical average crushing force The steps continue until the final minimum average crushing force remains. Greater than the final remaining minimum critical average crushing force .

[0058] Therefore, this application embodiment, by dividing the collision deformation posture prediction area and marking the cross-sectional diameter change position, combined with theories such as super-folded elements and bending crushing, and combined with dynamic methods, can quickly predict the deformation posture of the front longitudinal beam assembly in a 100% frontal collision in the early stage of design. This effectively solves the problem that the front longitudinal beam assembly has poor collision posture, insufficient energy absorption, and affects the vehicle acceleration and passenger compartment intrusion caused by unreasonable stiffness distribution due to the overall vehicle layout in the early stage of design. At the same time, it improves the optimization methods in related technologies that rely on the whole vehicle collision model. However, the whole vehicle collision is a transient nonlinear large deformation process, and the number of shell elements, solid elements and other components constituting the whole vehicle model is huge, resulting in large simulation calculation volume, high computing power requirements, high cost, long cycle, and the defects that are easy to cause optimization failure due to frequent changes in vehicle design and difficult to meet the needs of efficient development. This can adapt to the market's demand for efficient and high-quality product development.

[0059] Furthermore, to enable those skilled in the art to better understand the vehicle front longitudinal beam assembly collision attitude prediction method of this application, the following is combined with... Figure 5 Specific embodiments will be described below.

[0060] Figure 5 This is a flowchart illustrating a method for predicting the collision attitude of a vehicle front longitudinal beam assembly, as provided in one embodiment of this application.

[0061] like Figure 5 As shown, the collision attitude prediction method for the front longitudinal beam assembly of this vehicle includes the following steps: S501, Prediction begins.

[0062] S502, front longitudinal beam assembly collision attitude zone division.

[0063] S503, marking the position of the diameter change of the front longitudinal beam assembly section.

[0064] S504, Calculate the average crushing force at each section of the first prediction region. .

[0065] S505, calculate the critical average crushing force that causes the cross-sectional area of ​​the first and second prediction regions to reach the critical bending compressive stress on the side subjected to compression. .

[0066] S506, Determine the minimum average crushing force Is it less than the minimum critical average crushing force? If yes, proceed to step S507; otherwise, proceed to step S514.

[0067] S507, Determining the minimum average crushing force Is it in the first sub-region? If yes, proceed to step S508; otherwise, proceed to step S514.

[0068] S508, Mark the crushing location, and delete the average crushing force within a folding unit longitudinal range from that location toward the rear of the vehicle. and critical average crushing force And determine the new minimum average crushing force from the remaining crushing force. and the new minimum critical average crushing force .

[0069] S509, Determine the new minimum average crushing force Is it less than the new minimum critical average crushing force? If yes, proceed to step S510; otherwise, proceed to step S514.

[0070] S510, Determine the new minimum average crushing force Is it in the first sub-region? If yes, proceed to step S511; otherwise, proceed to step S514.

[0071] S511, Determine whether the bending moment M is less than 0.15 times the ultimate bending moment. If yes, proceed to step S512; otherwise, proceed to step S514.

[0072] S512, mark the crushing location, and delete the average crushing force within a folding unit longitudinal range from that location toward the rear of the vehicle. and critical average crushing force This allows us to determine the current remaining minimum average crushing force. and the current remaining minimum critical average crushing force .

[0073] S513, determine the current remaining minimum average crushing force. Is it less than the current remaining minimum critical average crushing force? If yes, proceed to step S512; otherwise, proceed to step S514.

[0074] S514, prediction complete.

[0075] According to the vehicle front longitudinal beam assembly collision attitude prediction method proposed in this application, the front longitudinal beam assembly to be predicted can be divided into a first prediction region and a second prediction region. If the minimum average crushing force in the first prediction region is greater than the minimum critical average crushing force in both the first and second prediction regions, the current bending position is recorded and the current prediction is stopped. Otherwise, based on a preset first prediction strategy, the prediction result is obtained according to the position corresponding to the minimum average crushing force. This solves the problems of high vehicle model computation cost, serious waste of computational resources, and long optimization cycle in related technologies, significantly reducing computational cost and shortening the optimization cycle.

[0076] Next, the collision attitude prediction device for the vehicle front longitudinal beam assembly proposed in this application is described with reference to the accompanying drawings.

[0077] Figure 6 This is a block diagram of the collision attitude prediction device for the front longitudinal beam assembly of a vehicle proposed in an embodiment of this application.

[0078] like Figure 6 As shown, the collision attitude prediction device 10 for the front longitudinal beam assembly of the vehicle includes: a division module 100, a judgment module 200, and a prediction module 300.

[0079] The system includes a division module 100, which divides the longitudinal beam assembly to be predicted into a first prediction region and a second prediction region, wherein the first prediction region includes a first sub-region and a second sub-region; a judgment module 200, which determines the minimum average crushing force in the first prediction region and the minimum critical average crushing force in the first and second prediction regions, and determines whether the minimum average crushing force is less than the minimum critical average crushing force; and a prediction module 300, which records the current bending position and stops the current prediction if the minimum average crushing force is greater than the minimum critical average crushing force, otherwise, obtains the prediction result based on the position corresponding to the minimum average crushing force according to the preset first prediction strategy.

[0080] Optionally, in some embodiments, the prediction module 300 is specifically used to: determine whether the position corresponding to the minimum average crushing force is in the first sub-region; if the position corresponding to the minimum average crushing force is in the first sub-region, then the position corresponding to the minimum average crushing force is taken as the first crushing position of the energy-absorbing box; otherwise, the current crushing position is recorded and the current prediction is stopped.

[0081] Optionally, in some embodiments, after determining the position corresponding to the minimum average crushing force as the first crushing position of the energy-absorbing box, the prediction module 300 is further configured to: delete the crushing force and critical crushing force within the longitudinal range of a folding unit in the direction of the first crushing position of the energy-absorbing box toward the rear of the vehicle body, and determine the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing forces, and determine whether the new minimum average crushing force is greater than the new minimum critical average crushing force; if the new minimum average crushing force is greater than the new minimum critical average crushing force, then record the current bending position and stop the current prediction; otherwise, based on the preset second prediction strategy, obtain the prediction result according to the position corresponding to the new minimum average crushing force.

[0082] Optionally, in some embodiments, the prediction module 300 is specifically used to: determine whether the location corresponding to the new minimum average crushing force is in the first sub-region; if the location corresponding to the new minimum average crushing force is in the first sub-region, then take the location corresponding to the new minimum average crushing force as the second crushing location of the energy-absorbing box, and after deleting the crushing force and critical crushing force within the longitudinal range of a folding unit in the direction of the second crushing location of the energy-absorbing box to the rear of the vehicle body, perform the step of determining the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force, until the location corresponding to the final minimum average crushing force is not in the first sub-region, and determine the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force; Prediction is made based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force.

[0083] Optionally, in some embodiments, the prediction module 300 is specifically used to: determine whether the bending moment is greater than or equal to the product of the ultimate bending moment and a preset value; if the bending moment is greater than or equal to the product of the ultimate bending moment and the preset value, record the current bending position and stop the current prediction; otherwise, take the position corresponding to the final minimum average crushing force as the first crushing position of the front longitudinal beam, delete the crushing force and critical crushing force within the longitudinal length range of a folding unit in the direction of the first crushing position of the front longitudinal beam toward the rear of the vehicle body, and make a prediction based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force.

[0084] Optionally, in some embodiments, the prediction module 300 is specifically used to: determine whether the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force; if the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force, then record the current bending position and stop the current prediction; otherwise, record the second crushing position of the front longitudinal beam and delete the crushing force and critical crushing force within the longitudinal length range of one folding unit in the direction of the second crushing position of the front longitudinal beam toward the rear of the vehicle body, to obtain the new remaining minimum average crushing force and the new remaining minimum critical average crushing force, until the final remaining minimum average crushing force is greater than the final remaining minimum critical average crushing force.

[0085] Optionally, in some embodiments, the determination module 200 is specifically used to: calculate the average crushing force of at least one cross section in the first prediction region; calculate at least one critical average crushing force that causes the stress on the bending and compressive side of at least one cross section in the first prediction region and the second prediction region to reach a preset critical bending compressive stress; determine the minimum average crushing force based on the average crushing force of at least one cross section, and determine the minimum critical average crushing force based on at least one critical average crushing force.

[0086] It should be noted that the foregoing explanation of the embodiment of the vehicle front longitudinal beam assembly collision attitude prediction method also applies to the vehicle front longitudinal beam assembly collision attitude prediction device of this embodiment, and will not be repeated here.

[0087] The vehicle front longitudinal beam assembly collision attitude prediction device proposed in this application can divide the front longitudinal beam assembly to be predicted into a first prediction region and a second prediction region. If the minimum average crushing force in the first prediction region is greater than the minimum critical average crushing force in both the first and second prediction regions, the current bending position is recorded and the current prediction is stopped. Otherwise, based on a preset first prediction strategy, the prediction result is obtained according to the position corresponding to the minimum average crushing force. This solves the problems of high computational cost, significant waste of computational resources, and long optimization cycles in related technologies, greatly reducing computational costs and shortening the optimization cycle.

[0088] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 701, the processor 702, and the computer program stored on the memory 701 and executable on the processor 702.

[0089] When the processor 702 executes the program, it implements the vehicle front longitudinal beam assembly collision attitude prediction method provided in the above embodiments.

[0090] Furthermore, the electronic device also includes: Communication interface 703 is used for communication between memory 701 and processor 702.

[0091] The memory 701 is used to store computer programs that can run on the processor 702.

[0092] The memory 701 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0093] If the memory 701, processor 702, and communication interface 703 are implemented independently, then the communication interface 703, memory 701, and processor 702 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 7 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0094] Optionally, in a specific implementation, if the memory 701, processor 702, and communication interface 703 are integrated on a single chip, then the memory 701, processor 702, and communication interface 703 can communicate with each other through an internal interface.

[0095] The processor 702 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0096] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following... Figure 1 The method for predicting the collision attitude of the front longitudinal beam assembly of the vehicle is shown.

[0097] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0098] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0099] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0100] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0101] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0102] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0103] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0104] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for predicting the collision attitude of a vehicle's front longitudinal beam assembly, characterized in that, include: The front longitudinal beam assembly to be predicted is divided into a first prediction region and a second prediction region, wherein the first prediction region includes a first sub-region and a second sub-region. Determine the minimum average crushing force in the first prediction region, and the minimum critical average crushing force in the first prediction region and the second prediction region, and determine whether the minimum average crushing force is less than the minimum critical average crushing force. If the minimum average crushing force is greater than the minimum critical average crushing force, the current bending position is recorded and the current prediction is stopped; otherwise, based on the preset first prediction strategy, the prediction result is obtained according to the position corresponding to the minimum average crushing force.

2. The method according to claim 1, characterized in that, The prediction result based on the preset first prediction strategy, according to the location corresponding to the minimum average crushing force, includes: Determine whether the location corresponding to the minimum average crushing force is within the first sub-region; If the location corresponding to the minimum average crushing force is in the first sub-region, then the location corresponding to the minimum average crushing force is taken as the first crushing location of the energy-absorbing box; otherwise, the current crushing location is recorded and the current prediction is stopped.

3. The method according to claim 2, characterized in that, After determining the position corresponding to the minimum average crushing force as the first crushing position of the energy-absorbing box, the method further includes: Remove the crushing force and critical crushing force within the longitudinal range of a folding unit in the direction of the rear of the vehicle body from the first crushing position of the energy-absorbing box, and determine the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force, and determine whether the new minimum average crushing force is greater than the new minimum critical average crushing force. If the new minimum average crushing force is greater than the new minimum critical average crushing force, the current bending position is recorded and the current prediction is stopped; otherwise, based on the preset second prediction strategy, the prediction result is obtained according to the position corresponding to the new minimum average crushing force.

4. The method according to claim 3, characterized in that, The second prediction strategy based on a preset method obtains the prediction result according to the location corresponding to the new minimum average crushing force, including: Determine whether the location corresponding to the new minimum average crushing force is within the first sub-region; If the location corresponding to the new minimum average crushing force is in the first sub-region, then the location corresponding to the new minimum average crushing force is taken as the second crushing location of the energy-absorbing box. After deleting the crushing force and critical crushing force within the longitudinal range of one folding unit in the direction of the second crushing location of the energy-absorbing box to the rear of the vehicle body, the step of determining the new minimum average crushing force and the new minimum critical average crushing force from the remaining crushing force is performed until the location corresponding to the final minimum average crushing force is not in the first sub-region, and the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force are determined. The prediction is made based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force.

5. The method according to claim 4, characterized in that, The prediction based on the bending moment and ultimate bending moment of the section corresponding to the final minimum average crushing force includes: Determine whether the bending moment is greater than or equal to the product of the ultimate bending moment and a preset value; If the bending moment is greater than or equal to the product of the ultimate bending moment and the preset value, then record the current bending position and stop the current prediction; Otherwise, the position corresponding to the final minimum average crushing force is taken as the first crushing position of the front longitudinal beam. The crushing force and critical crushing force within the longitudinal length range of one folding unit in the direction of the rear of the vehicle body from the first crushing position of the front longitudinal beam are deleted, and a prediction is made based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force.

6. The method according to claim 5, characterized in that, The prediction based on the current remaining minimum average crushing force and the current remaining minimum critical average crushing force includes: Determine whether the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force; If the current remaining minimum average crushing force is greater than the current remaining minimum critical average crushing force, then record the current bending position and stop the current prediction; otherwise, record the second crushing position of the front longitudinal beam and delete the crushing force and critical crushing force within the longitudinal length of a folding unit in the direction of the second crushing position of the front longitudinal beam toward the rear of the vehicle body, to obtain the new remaining minimum average crushing force and the new remaining minimum critical average crushing force, until the final remaining minimum average crushing force is greater than the final remaining minimum critical average crushing force.

7. The method according to claim 1, characterized in that, Determining the minimum average crushing force in the first prediction region, and the minimum critical average crushing force in both the first and second prediction regions, includes: Calculate the average crushing force at least one cross section within the first predicted region; Calculate at least one critical average crushing force that causes the stress on the compressive side of the bending at the variable diameter position of at least one cross section of the first and second predicted regions to reach the preset critical bending compressive stress. The minimum average crushing force is determined based on the average crushing force of the at least one cross section, and the minimum critical average crushing force is determined based on the at least one critical average crushing force.

8. A collision attitude prediction device for a vehicle front longitudinal beam assembly, characterized in that, include: The segmentation module is used to divide the front longitudinal beam assembly to be predicted into a first prediction region and a second prediction region, wherein the first prediction region includes a first sub-region and a second sub-region. The judgment module is used to determine the minimum average crushing force of the first prediction region, and the minimum critical average crushing force in the first prediction region and the second prediction region, and to determine whether the minimum average crushing force is less than the minimum critical average crushing force. The prediction module is used to record the current bending position and stop the current prediction when the minimum average crushing force is greater than the minimum critical average crushing force; otherwise, it obtains the prediction result based on the position corresponding to the minimum average crushing force according to the preset first prediction strategy.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the vehicle front longitudinal beam assembly collision attitude prediction method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the program is executed by the processor, it implements the vehicle front longitudinal beam assembly collision attitude prediction method as described in any one of claims 1-7.