Finished vehicle fatigue analysis method based on virtual test field technology

Abstract

The invention relates to the technical field of whole vehicle fatigue analysis. The invention relates to a whole vehicle fatigue analysis method based on a virtual test field technology. The method comprises the following steps: S1, collecting vehicle data needing whole vehicle fatigue analysis, generating a whole vehicle model according to the vehicle data, then collecting topographic data of a whole vehicle test road surface, and generating a topographic model; according to the method, the modification scheme for the abnormal parts can be generated by combining historical data and structural analysis, evaluation and adjustment are carried out in the whole vehicle model, design optimization and improvement of the performance and reliability of the whole vehicle are facilitated, meanwhile, the modification scheme is evaluated by means of fatigue analysis and the like, and the improvement efficiency is improved. And it is ensured that the fatigue performance of the modified parts can meet the design requirement, potential risks caused by modification can be reduced, and the safety and stability of the whole vehicle are improved.

Description

Technical Field

[0001] The invention relates to the technical field of whole vehicle fatigue analysis, and in particular to a whole vehicle fatigue analysis method based on virtual test field technology. Background Art

[0002] In the field of automobile development, fatigue analysis is an important analysis process for automobiles. In actual work, R&D engineers obtain dynamic load data of automobile bodies, suspension rods, subframes and other parts, that is, dynamic load history input of each component, which is the prerequisite for carrying out automobile fatigue analysis.

[0003] At present, when performing fatigue analysis on vehicle components, engineers usually modify the parameters of each component based on the fatigue analysis results. This method requires engineers to perform fatigue analysis again after modifying the parameters. When modifying the parameters, engineers need to calculate whether the modified parameters are reasonable. If they are reasonable, they will be applied again. The manpower and time costs increase significantly, and it is impossible to recommend modification plans based on the vehicle model. The use of the model in the analysis process is very limited. Therefore, a vehicle fatigue analysis method based on virtual test field technology is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a vehicle fatigue analysis method based on virtual test field technology to solve the problems raised in the above background technology.

[0005] To achieve the above purpose, a vehicle fatigue analysis method based on virtual test field technology is provided, which includes the following steps:

[0006] S1. Collect vehicle data that requires vehicle fatigue analysis, generate a vehicle model based on the vehicle data, and then collect terrain data of the vehicle test road surface and generate a terrain model;

[0007] S2. Establish a virtual test field based on the vehicle model and the terrain model, and perform fatigue analysis on the components of the vehicle model during the simulation of the vehicle model to obtain the fatigue life of each component;

[0008] S3, setting a life threshold for each component, and comparing the fatigue life obtained in S2 with the life threshold. When the fatigue life of the component is lower than the life threshold, the component is identified as an abnormal component in the vehicle model;

[0009] S4. Obtaining historical fatigue analysis records of other vehicles, and performing normal component usage analysis based on the historical fatigue analysis records of other vehicles, and obtaining relevant structural data and historical material lists of fatigue life of each component;

[0010] S5. Screen the relevant structural data and historical material list of the abnormal component obtained in S4 to obtain relevant structural data and historical material list of the same model as the abnormal component, and generate improvement plans for the relevant structural data and historical material list to obtain multiple modification plans for the abnormal component;

[0011] S6: input the modification plan obtained by S5 into the whole vehicle model of S1, and filter out the effective modification plan with normal parts as the analysis result, and then send the effective modification plan and abnormal parts to the user for evaluation and adjustment, and input the evaluation and adjustment results into S1.

[0012] As a further improvement of the present technical solution, the S1 extracts the structural data and material data as vehicle data, and the terrain data at the same time by the user actively inputting the vehicle's structural data, material data, and terrain data at the test management end, and then signing a data transmission agreement with the test management end.

[0013] As a further improvement of the technical solution, S1 performs geometric modeling of the whole vehicle according to the vehicle data through computer-aided design software to create a whole vehicle model, and then performs geometric modeling of the terrain data to create a terrain model.

[0014] As a further improvement of the technical solution, the steps of S2 are as follows:

[0015] S2.1. Establish a virtual test field through the finite element analysis model, then import the vehicle model and terrain model into the virtual test field, simulate the whole vehicle model driving in the terrain model and perform finite element analysis;

[0016] S2.2. Based on the finite element analysis results of S2.1, fatigue analysis is performed on the vehicle model using the fatigue life prediction method, and then the fatigue analysis data of each component is extracted separately to obtain the fatigue life of each component.

[0017] As a further improvement of the present technical solution, S3 sends a setting window of the life threshold of each component to the user through the test management terminal, and then collects the data filled in by the user in the setting window to serve as the life threshold of each component.

[0018] As a further improvement of the technical solution, the steps of S3 are as follows:

[0019] S3.1. Compare the fatigue life and life threshold of each component;

[0020] S3.2. When the fatigue life of a component is lower than the life threshold, the component is considered an abnormal component in the vehicle model;

[0021] S3.3. When the fatigue life of a component is higher than the life threshold, the component is deemed to be a normal component in the vehicle model.

[0022] As a further improvement of the technical solution, the step of S4 is as follows:

[0023] S4.1. Extract other historical vehicle fatigue analysis records in the test management terminal;

[0024] S4.2. Perform usage analysis on the fatigue analysis records of other vehicles to obtain the relevant structural data and historical material list of each component. Then, perform normal screening on the relevant structural data and historical material list in combination with the life threshold to obtain the relevant structural data and historical material list of each component that exceeds the life threshold.

[0025] As a further improvement of the present technical solution, in the process of generating the improvement solution, S5 converts the related structure into a modification solution, the material usage into a modification solution, and the related structure combined with the corresponding material usage into another modification solution, thereby generating multiple modification solutions.

[0026] As a further improvement of the technical solution, the step of S6 is as follows:

[0027] S6.1. Input the modification scheme obtained in S5 into the vehicle model of S1, monitor the fatigue analysis results of S2, and save the modification scheme of the parts with normal fatigue analysis results as the effective modification scheme;

[0028] S6.2. The effective modification plan saved in S6.1 is combined with the data of the abnormal parts and sent to the user through the test management terminal for evaluation and adjustment. When the user enters new structural data and material data for the abnormal parts, the new structural data and material data are sent to S1 as an evaluation adjustment structure.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] In the whole vehicle fatigue analysis method based on virtual proving ground technology, by combining historical data and structural analysis, it is possible to generate modification plans for abnormal parts and components, and evaluate and adjust them in the whole vehicle model, which helps to optimize the design and improve the performance and reliability of the whole vehicle. At the same time, the modification plan is evaluated through fatigue analysis and other means to ensure that the fatigue performance of the modified parts can meet the design requirements, which helps to reduce the potential risks introduced by the modification and improve the safety and stability of the whole vehicle. In addition, users can evaluate and adjust the modification plan according to specific needs, and can quickly respond and update the whole vehicle model, which increases the flexibility of the system and enables it to adapt to different needs and changes. Then, effective modification plans and related data can be recorded and saved to form a knowledge base, which helps to accumulate experience and knowledge and provide reference and reference for solving similar problems in the future. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is the overall flow chart of the present invention;

[0032] Figure 2 A flowchart for obtaining the fatigue life of each component of the present invention;

[0033] Figure 3 A flowchart of the present invention for determining that the component is a normal component in the vehicle model;

[0034] Figure 4 A flowchart of extracting other historical vehicle fatigue analysis records in the test management terminal of the present invention;

[0035] Figure 5 A flowchart of an effective modification scheme is preserved for the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1-Figure 5 As shown, the purpose of this embodiment is to provide a vehicle fatigue analysis method based on virtual test field technology, including the following steps:

[0038] S1. Collect vehicle data that requires vehicle fatigue analysis, generate a vehicle model based on the vehicle data, and then collect terrain data of the vehicle test road surface and generate a terrain model;

[0039] The S1 is a process where the user actively inputs the vehicle's structural data, material data, and terrain data on the test management end, and then signs a data transmission agreement with the test management end, thereby extracting the structural data and material data as vehicle data, and at the same time extracting terrain data. The working steps are as follows:

[0040] User input data: Users input the vehicle's structural data and material data through the test management terminal. These data include the vehicle's geometry, material type, elastic modulus, Poisson's ratio and other information. At the same time, users also input terrain data, such as road roughness, road curvature, etc.

[0041] Data transmission agreement: Sign a data transmission agreement with the test management end to ensure the secure transmission and privacy protection of data, and extract data from the test management end and output data to the test management end;

[0042] Data extraction and preprocessing: The test management end extracts the vehicle's structural data, material data, and terrain data from the data input by the user, and performs necessary preprocessing, including data cleaning, format conversion, and other operations to ensure the accuracy and consistency of the data.

[0043] The S1 performs geometric modeling of the whole vehicle according to the vehicle data through computer-aided design software to create a whole vehicle model, and then performs geometric modeling of the terrain data to create a terrain model. The working steps are as follows:

[0044] Vehicle geometry modeling: Use computer-aided design software CAD to create a vehicle model using vehicle data, including the vehicle's structural data and dimensional parameters. In the CAD software, modeling is performed based on the vehicle's geometric shape by drawing, dragging, stretching, and other operations. This involves creating the vehicle's body, wheels, windows, and other parts, and ensuring that their geometric shapes and sizes are consistent with the actual vehicle.

[0045] Terrain geometry modeling: Also select CAD software to perform geometric modeling based on terrain data. The terrain data comes from the test management end. In the CAD software, the geometric shape of the terrain is drawn according to the terrain data. It is necessary to consider the ups and downs, curvature and other characteristics of the surface, and ensure that the terrain model is consistent with the actual terrain.

[0046] S2. Establish a virtual test field based on the vehicle model and the terrain model, and perform fatigue analysis on the components of the vehicle model during the simulation of the vehicle model to obtain the fatigue life of each component;

[0047] The steps of S2 are as follows:

[0048] S2.1. Establish a virtual test field through the finite element analysis model, then import the vehicle model and terrain model into the virtual test field, simulate the whole vehicle model driving in the terrain model and perform finite element analysis. The working steps are as follows:

[0049] Establish a finite element analysis model: Select the finite element analysis software ABAQUS, and create a finite element model of the vehicle based on the vehicle's geometric model. This involves discretizing the vehicle's geometric model into a finite element mesh and defining material properties, boundary conditions, etc. The terrain model is also processed similarly to convert the terrain geometric model into a finite element mesh;

[0050] Establish a virtual test site: In the finite element analysis software, establish a virtual test scene, including setting the location of the terrain model, the vehicle starting position, road conditions, etc. It is necessary to define the vehicle's route, speed, load and other parameters, as well as the characteristics of the terrain, such as friction coefficient, slope, etc.;

[0051] Simulate the whole vehicle driving in the terrain: import the vehicle model and terrain model into the virtual test scene, set the simulation parameters, such as time step, simulation time, etc., run the simulation, and simulate the whole vehicle driving in the terrain, which involves the calculation and recording of the vehicle's force conditions, stress distribution, displacement and other information;

[0052] Finite element analysis: During the simulation process, the finite element analysis software will perform simulation calculations based on the vehicle model, terrain model, and loading conditions. The result output function provided by the finite element analysis software can be used to obtain information such as stress, strain, and displacement during the vehicle's driving on the terrain.

[0053] S2.2. Based on the finite element analysis results of S2.1, fatigue analysis is performed on the vehicle model using the fatigue life prediction method. Then, the fatigue analysis data of each component is extracted separately to obtain the fatigue life of each component. The working steps are as follows:

[0054] Vehicle fatigue analysis: Based on the finite element analysis results, the stress history data of the vehicle model under different load conditions are extracted. These load conditions include dynamic loads on the vehicle during driving, vibration loads caused by road roughness, etc. The extracted stress history data is combined with fatigue life prediction methods to perform fatigue analysis on the vehicle model.

[0055] Component fatigue analysis: According to the composition structure of the vehicle model, the vehicle model is decomposed into various components or assemblies, such as the body, wheels, suspension, etc. The corresponding stress history data is extracted for each component or assembly. The post-processing function in the finite element analysis software is used to extract the stress on each component or assembly. Using the extracted stress history data, the same fatigue life prediction method is applied to perform fatigue analysis on each component or assembly. The formula is as follows:

[0056]

[0057] Among them, N f is the fatigue life, σ max is the maximum stress, σ e is the equivalent stress, m is the fatigue index of the material, and an equivalent stress value σ can be calculated through some stress transformation theories or experiments. e , so that at this stress level, the fatigue life of the material is the same as the fatigue life under the actual stress cycle. Once the equivalent stress σ is obtained e , and compare it with the maximum stress σ max Combined, the stress cycle method can be used to estimate the fatigue life N f , in the formula It represents the ratio of stress amplitude to equivalent stress, that is, the relationship between loading amplitude and equivalent stress. By calculating this ratio and combining it with the material fatigue index m, the fatigue life at a given stress level can be estimated.

[0058] The fatigue index m reflects the fatigue performance of the material and is determined by the experimental data or experience of the material. Different materials have different fatigue indexes, which are usually fitted by the fatigue test data of the material. A higher m value indicates that the material has better fatigue resistance, that is, it has a longer fatigue life under the same stress level.

[0059] S3, setting a life threshold for each component, and comparing the fatigue life obtained in S2 with the life threshold. When the fatigue life of the component is lower than the life threshold, the component is identified as an abnormal component in the vehicle model;

[0060] The S3 sends a setting window of the life threshold of each component to the user through the test management terminal, and then collects the data filled in by the user in the setting window to serve as the life threshold of each component. The working steps are as follows:

[0061] Design the user interface: Design a user-friendly interface on the test management side for setting component life thresholds. This interface displays the name or ID of each component and provides a field for the user to enter the expected life threshold.

[0062] Send setting window: send the designed setting window to the user through the test management terminal;

[0063] Collect data filled in by users: When the user receives the setting window, fill in the life threshold of each component in the window. The test management end should have a database to collect the data filled in by users.

[0064] Storing and processing data: After collecting the data filled in by the user, store it in the database.

[0065] The steps of S3 are as follows:

[0066] S3.1. Compare the fatigue life and life threshold of each component;

[0067] S3.2. When the fatigue life of a component is lower than the life threshold, the component is considered an abnormal component in the vehicle model;

[0068] S3.3. When the fatigue life of a component is higher than the life threshold, the component is deemed to be a normal component in the vehicle model.

[0069] S4. Obtaining historical fatigue analysis records of other vehicles, and performing normal component usage analysis based on the historical fatigue analysis records of other vehicles, and obtaining relevant structural data and historical material lists of fatigue life of each component;

[0070] The steps of S4 are as follows:

[0071] S4.1. Extract other historical vehicle fatigue analysis records in the test management terminal;

[0072] S4.2. Perform usage analysis on the fatigue analysis records of other vehicles to obtain the relevant structural data and historical material list of each component. Then, perform normal screening on the relevant structural data and historical material list in combination with the life threshold to obtain the relevant structural data and historical material list of each component that exceeds the life threshold. The steps are as follows:

[0073] Extract historical fatigue analysis records: Extract historical vehicle fatigue analysis records from the test management terminal. These records include fatigue analysis results and related data for each component of the vehicle.

[0074] Analyze historical fatigue analysis records: Analyze the extracted historical fatigue analysis records to obtain relevant structural data and historical material lists for each component, which involves parsing analysis reports, viewing database records or other relevant information;

[0075] Screening based on life threshold: Compare the relevant structural data and historical material list of each component with the set life threshold to screen out components with fatigue life higher than the life threshold. Components higher than the threshold are considered abnormal.

[0076] Record results: Record the screening results of each component, that is, which components have fatigue life below the threshold and which components have fatigue life within the normal range.

[0077] S5. Screen the relevant structural data and historical material list of the abnormal parts obtained in S4 to obtain the relevant structural data and historical material list of the same model as the abnormal parts. Meanwhile, generate improvement plans for the relevant structural data and historical material list to obtain multiple modification plans for the abnormal parts. The working steps are as follows:

[0078] Filter relevant data: For abnormal parts, filter out relevant data of the same model from the existing relevant structural data and historical material lists, which involves matching and comparing the model information of the parts;

[0079] Analyze the causes of abnormalities: Conduct in-depth analysis of abnormal parts to determine the causes of abnormalities, and conduct comprehensive analysis based on historical data, fatigue analysis results, structural design and other information to find out the root causes of abnormalities;

[0080] Generate improvement plans: Based on the analysis results of abnormal causes, propose improvement plans for abnormal parts, including suggestions for improving material selection, optimizing design structure, adjusting production processes, etc.;

[0081] Formulate modification plans: According to the improvement plan, formulate a specific modification plan, determine specific modification measures, adjust the structure or materials of parts, modify the production process, etc. The formulation of the modification plan needs to take into account factors such as cost, feasibility and the impact on the performance of parts.

[0082] In the process of generating improvement schemes, S5 regards the related structure as a modification scheme, the material usage as a modification scheme, and the related structure combined with the corresponding material usage as another modification scheme, thereby generating multiple modification schemes.

[0083] S6: input the modification plan obtained by S5 into the whole vehicle model of S1, and filter out the effective modification plan with normal parts as the analysis result, and then send the effective modification plan and abnormal parts to the user for evaluation and adjustment, and input the evaluation and adjustment results into S1.

[0084] The steps of S6 are as follows:

[0085] S6.1. Input the modification scheme obtained in S5 into the vehicle model of S1, monitor the fatigue analysis results of S2, and save the modification scheme of the parts with normal fatigue analysis results as the effective modification scheme; the working steps are as follows:

[0086] Importing modification schemes into the vehicle model: Applying the acquired modification schemes to the corresponding parts in the vehicle model, which involves modifying or replacing the structure, materials, connection methods, etc. of the parts to implement the modification schemes;

[0087] Re-analysis of fatigue: After applying the modification solution, re-analysis of fatigue of the whole vehicle model and re-analysis of the modified parts to evaluate their fatigue performance under the new conditions;

[0088] Monitor fatigue analysis results: Monitor fatigue analysis results, pay special attention to whether the fatigue performance of modified parts meets the design requirements, and analyze and compare indicators such as fatigue life, stress distribution, and strain distribution;

[0089] Save valid modification plans: For the modification plans that appear normal in fatigue analysis results, save them as valid modification plans. These plans are considered successful because they enable the components to meet the expected requirements in terms of fatigue performance.

[0090] S6.2, the effective modification plan saved in S6.1 is combined with the data of the abnormal parts and sent to the user through the test management terminal for evaluation and adjustment. When the user enters new structural data and material data for the abnormal parts, the new structural data and material data are sent to S1 as the evaluation adjustment structure. The working steps are as follows:

[0091] Send valid modification plans and abnormal parts data: Send the saved valid modification plans and related structural data and material data of abnormal parts to the user through the test management terminal.

[0092] User evaluation and adjustment: After receiving the effective modification plan and abnormal parts data, the user will evaluate and adjust it. The user may adjust the modification plan or propose modification suggestions based on new design requirements, performance indicators, cost constraints and other factors;

[0093] Update structural data and material data: Users provide new structural data and material data based on the results of evaluation and adjustment, including updates or adjustments to component size, shape, material strength, etc.;

[0094] Send evaluation adjustment structure data: Send the new structure data and material data provided by the user to S1 as evaluation adjustment structure data.

[0095] Vehicle model adjustment: S1 adjusts the vehicle model accordingly based on the evaluation adjustment structure data, which includes updating the geometry, material properties, connection methods, etc. of the components to reflect the adjustment requirements provided by the user.

[0096] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A vehicle fatigue analysis method based on virtual proving ground technology, Features: The following steps are involved: S1. Collect vehicle data that requires vehicle fatigue analysis, generate a vehicle model based on the vehicle data, and then collect terrain data of the vehicle test road surface and generate a terrain model; S2. Establish a virtual test field based on the vehicle model and the terrain model, and perform fatigue analysis on the components of the vehicle model during the simulation of the vehicle model to obtain the fatigue life of each component; S3, setting a life threshold for each component, and comparing the fatigue life obtained in S2 with the life threshold. When the fatigue life of the component is lower than the life threshold, the component is identified as an abnormal component in the vehicle model; S4. Obtaining historical fatigue analysis records of other vehicles, and performing normal component usage analysis based on the historical fatigue analysis records of other vehicles, and obtaining relevant structural data and historical material lists of fatigue life of each component; S5. Screen the relevant structural data and historical material list of the abnormal component obtained in S4 to obtain relevant structural data and historical material list of the same model as the abnormal component, and generate improvement plans for the relevant structural data and historical material list to obtain multiple modification plans for the abnormal component; S6: input the modification plan obtained by S5 into the whole vehicle model of S1, and filter out the effective modification plan with normal parts as the analysis result, and then send the effective modification plan and abnormal parts to the user for evaluation and adjustment, and input the evaluation and adjustment results into S1.

2. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: The S1 is that the user actively inputs the vehicle's structural data, material data, and terrain data at the test management end, and then signs a data transmission agreement with the test management end, thereby extracting the structural data and material data as vehicle data, and extracting the terrain data at the same time.

3. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: The S1 performs geometric modeling of the whole vehicle according to the vehicle data through computer-aided design software to create a whole vehicle model, and then performs geometric modeling of the terrain data to create a terrain model.

4. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: The steps of S2 are as follows: S2.

1. Establish a virtual test field through the finite element analysis model, then import the vehicle model and terrain model into the virtual test field, simulate the whole vehicle model driving in the terrain model and perform finite element analysis; S2.

2. Based on the finite element analysis results of S2.1, fatigue analysis is performed on the vehicle model using the fatigue life prediction method, and then the fatigue analysis data of each component is extracted separately to obtain the fatigue life of each component.

5. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: The S3 sends a setting window of the life threshold of each component to the user through the test management terminal, and then collects the data filled in by the user in the setting window to serve as the life threshold of each component.

6. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: The steps of S3 are as follows: S3.

1. Compare the fatigue life and life threshold of each component; S3.

2. When the fatigue life of a component is lower than the life threshold, the component is considered an abnormal component in the vehicle model; S3.

3. When the fatigue life of a component is higher than the life threshold, the component is deemed to be a normal component in the vehicle model.

7. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: The steps of S4 are as follows: S4.

1. Extract other historical vehicle fatigue analysis records in the test management terminal; S4.

2. Perform usage analysis on the fatigue analysis records of other vehicles to obtain the relevant structural data and historical material list of each component. Then, perform normal screening on the relevant structural data and historical material list in combination with the life threshold to obtain the relevant structural data and historical material list of each component that exceeds the life threshold.

8. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: In the process of generating improvement schemes, S5 regards the related structure as a modification scheme, the material usage as a modification scheme, and the related structure combined with the corresponding material usage as another modification scheme, thereby generating multiple modification schemes.

9. The vehicle fatigue analysis method based on virtual proving ground technology according to claim 1, Features: The steps of S6 are as follows: S6.

1. Input the modification scheme obtained in S5 into the vehicle model of S1, monitor the fatigue analysis results of S2, and save the modification scheme of the parts with normal fatigue analysis results as the effective modification scheme; S6.

2. The effective modification plan saved in S6.1 is combined with the data of the abnormal parts and sent to the user through the test management terminal for evaluation and adjustment. When the user enters new structural data and material data for the abnormal parts, the new structural data and material data are sent to S1 as an evaluation adjustment structure.

Images