Method for improving NVH (Noise Vibration and Harshness) after automobile collision based on structural analysis
Patent Information
- Application Number
- CN202510150544.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-11
- Publication Date
- 2025-07-11
Smart Images
Figure CN120296859A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of vehicle collisions, and particularly relates to a method for improving NVH after vehicle collision based on structural analysis. Background Art
[0002] With the rapid development of the automotive industry and the increasing requirements of consumers for vehicle quality, NVH performance has become one of the important indicators for measuring vehicle quality. After a vehicle collision, the body structure may be damaged, resulting in a decline in NVH performance, which directly affects the passenger's riding experience and driving safety. Therefore, it is necessary to improve the NVH performance of the vehicle. Currently, after a vehicle is collided, the vehicle structure is mostly understood based on the naked eye, experience, or some monitoring instruments, making it difficult to accurately understand the vehicle condition after the collision and unable to effectively improve the NVH performance of the vehicle, thus affecting the maintenance of the vehicle. Summary of the Invention
[0003] The purpose of the present invention is to provide a method for improving NVH after vehicle collision based on structural analysis to solve the deficiencies in the background art.
[0004] To achieve the above purpose, the present invention provides the following technical solution: A method for improving NVH after vehicle collision based on structural analysis, comprising the following steps: Obtain vehicle type information based on big data, and set a corresponding vehicle NVH management library based on the vehicle type information, wherein the vehicle NVH management library includes multiple vehicle type information and corresponding component information affecting NVH; Obtain the vehicle type information of the target vehicle, and match the corresponding component information affecting NVH based on the vehicle NVH management library as the target vehicle component information; Obtain the collision position of the target vehicle, and obtain the corresponding local component information from the target vehicle component information based on the collision position; Obtain the current component information of the collision position of the target vehicle, and establish a corresponding relationship between the local component information and the current component information to obtain component difference information; Adjust the current component information based on the difference information to improve the NVH performance.
[0005] In a preferred embodiment, the step of obtaining vehicle type information based on big data and setting a corresponding vehicle NVH management library based on the vehicle type information includes: Obtain multiple vehicle type information based on big data, wherein the vehicle type information includes the vehicle name and vehicle model; Build a vehicle terminal based on vehicle type information, and select the corresponding component information affecting NVH based on the vehicle terminal. Among them, the component information affecting NVH includes component name, component shape, position between adjacent components, and factors corresponding to the impact of the component. Correspond the vehicle terminal with the component information affecting NVH and store it to obtain a vehicle NVH management library.
[0006] In a preferred embodiment, the step of matching the corresponding component information affecting NVH as the target vehicle component information based on the vehicle NVH management library includes: Build a three-dimensional vehicle structure model based on the vehicle terminal and the corresponding component information affecting NVH in the vehicle NVH management library; Mark the component information affecting NVH on the components in the three-dimensional vehicle structure model to obtain a corresponding model, and set a space monitoring network for the component information affecting NVH in the corresponding model; Obtain the vehicle type information of the target vehicle, and match it in the vehicle NVH management library based on the vehicle type information of the target vehicle to obtain the corresponding vehicle terminal as the target vehicle terminal; Obtain the corresponding model based on the target vehicle terminal to obtain the target vehicle component information.
[0007] In a preferred embodiment, the step of setting a space monitoring network for the component information affecting NVH in the corresponding model includes: Mark the corresponding component information affecting NVH on the three-dimensional vehicle structure model to obtain a corresponding model; Select the center point of the component shape in the component information affecting NVH based on the corresponding model, and use the center point as the space monitoring point. Among them, the space monitoring points include noise monitoring points, vibration monitoring points, and sound vibration roughness monitoring points; Configure the corresponding cloud server for the space monitoring points, and communicate and connect between the space monitoring points and the cloud server; Connect the space monitoring points pairwise based on the corresponding model to obtain a plurality of monitoring lines, collect the position information between the monitoring lines and mark it on the three-dimensional vehicle structure model to obtain a space monitoring network.
[0008] In a preferred embodiment, the step of obtaining the collision position of the target vehicle and obtaining the corresponding local component information from the target vehicle component information based on the collision position includes: Obtain the collision position of the target vehicle, and perform position matching in the corresponding model to correspond to the collision position model; Obtain the corresponding component information affecting NVH in the target vehicle component information based on the collision position model as the local component information.
[0009] In a preferred embodiment, the steps of obtaining the current component information of the collision position of the target vehicle and establishing a correspondence relationship with the current component information based on the local component information to obtain the component difference information include: Obtain the current component information of the collision position of the target vehicle, construct a current collision model based on the current component information, set spatial monitoring points and a spatial monitoring network as monitoring information corresponding to the current collision model, and transmit it to the corresponding cloud server; In the cloud server, compare the monitoring information of the current collision model with the spatial monitoring points and the spatial monitoring network in the corresponding model corresponding to the local component information to obtain difference information.
[0010] In a preferred embodiment, the steps of comparing the monitoring information of the current collision model with the spatial monitoring points and the spatial monitoring network in the corresponding model corresponding to the local component information in the cloud server to obtain difference information include: Overlay the spatial monitoring network in the monitoring information with the corresponding spatial monitoring network in the corresponding model to obtain first difference data, where the first difference data includes the length values of the monitoring lines where there are monitoring lines and the monitoring lines with changes in the position and angle relationships between the monitoring lines; Obtain the component NVH performance information based on the spatial monitoring points in the monitoring information, and compare the component NVH performance information with the standard NVH performance information of the components affecting NVH in the corresponding model to obtain second difference data; Use the first difference data and the second difference data as difference information.
[0011] In a preferred embodiment, the steps of adjusting the current component information based on the difference information to improve the NVH performance include: Obtain the spatial monitoring points corresponding to the monitoring lines based on the first difference data, and adjust the component information affecting NVH based on the spatial monitoring points; Adjust the component information affecting NVH based on the second difference data.
[0012] In the above technical solution, the technical effects and advantages provided by the present invention are: 1. The present invention can understand whether there are problems with components based on the component NVH performance information collected by the spatial monitoring points and the standard NVH performance information. In this way, the first difference data and the second difference data can jointly be used for the maintenance and improvement of the NVH performance of the target vehicle, and have a good analysis effect; 2. The present invention sets the corresponding model of the spatial monitoring network and the spatial monitoring points as a component model in a qualified state of an automobile, which is used for subsequent comparison and reference of components of the collided automobile, better for NVH improvement of the collided automobile, and can accurately understand the problems affecting NVH of the collided automobile. Brief Description of the Drawings
[0013] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.
[0014] Figure 1 It is a flowchart of the method of the present invention. Detailed Embodiments
[0015] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.
[0016] Example 1, please refer to Figure 1 As shown, a method for improving NVH after a vehicle collision based on structural analysis in this embodiment includes the following steps: S1. Obtain vehicle type information based on big data, and set a corresponding vehicle NVH management library based on the vehicle type information. Among them, the vehicle NVH management library includes multiple vehicle type information and corresponding component information affecting NVH; S2. Obtain the vehicle type information of the target vehicle, and match the corresponding component information affecting NVH based on the vehicle NVH management library as the target vehicle component information; S3. Obtain the collision location of the target vehicle, and obtain the corresponding local component information from the target vehicle component information based on the collision location; S4. Obtain the current component information of the collision location of the target vehicle, and establish a corresponding relationship between the local component information and the current component information to obtain component difference information; S5. Adjust the current component information based on the difference information to improve the NVH performance; In one embodiment, step S1 of obtaining vehicle type information based on big data and setting a corresponding vehicle NVH management library based on the vehicle type information includes: S11. Obtain multiple vehicle type information based on big data, where the vehicle type information includes the vehicle name and vehicle model; S12. Construct a vehicle end based on the vehicle type information, and select the corresponding component information affecting NVH based on the vehicle end. Among them, the component information affecting NVH includes the component name, component shape, position between adjacent components, and factors corresponding to the impact of the component; S13. Correspond the vehicle end with the component information affecting NVH and store them to obtain a vehicle NVH management library; As described in the above steps S11 - S13, based on big data, obtain multiple vehicle names and their corresponding vehicle models as vehicle type information. Then, register and construct a vehicle end based on the vehicle type information. After that, select the corresponding component information affecting NVH based on the vehicle end. Here, the component information affecting NVH refers to the components in the vehicle that will affect the NVH performance. In addition, the component information affecting NVH includes the component name, component shape, position between adjacent components, and factors corresponding to the impact of the component. Here, the factors corresponding to the impact of the component refer to the problems that the component will affect the NVH performance. For example, the deformation of the body structure will cause changes in noise, vibration, and harshness, and the change in body shape will affect the change in wind noise. NVH is the English abbreviation of Noise, Vibration, and Harshness, which is a comprehensive issue to measure the manufacturing quality of automobiles. It gives the most direct and obvious feeling to automobile users. Here, the component information affecting NVH refers to the data of which components in the vehicle corresponding to the vehicle type information will affect NVH. For example, the deformation of the body structure, loose component connections, and damaged parts may all lead to a decline in NVH performance. Then, correspond the vehicle end with the component information affecting NVH and store them to obtain a vehicle NVH management library, which can first clarify the in - depth research on the vehicle regarding NVH and collect the data, facilitating the subsequent improvement of NVH for the collided vehicle; In one embodiment, step S2 of matching the corresponding component information affecting NVH as the target vehicle component information based on the vehicle NVH management library includes: S21. Construct a three - dimensional vehicle structure model based on the vehicle end and the corresponding component information affecting NVH in the vehicle NVH management library; S22. Mark the component information affecting NVH on the components in the three - dimensional vehicle structure model to obtain a corresponding model, and set a spatial monitoring network for the component information affecting NVH in the corresponding model; S23. Obtain the vehicle type information of the target vehicle, and match it in the vehicle NVH management library to obtain the corresponding vehicle end as the target vehicle end; S24. Obtain the corresponding target vehicle component information based on the target vehicle end and the corresponding model; As described in the above steps S21 - S24, a three - dimensional model of the vehicle structure is constructed based on the vehicle side in the vehicle NVH management library. Here, the three - dimensional model of the vehicle structure is the structure model of the whole vehicle. Then, the component information affecting NVH corresponding to the vehicle side is marked on the components in the three - dimensional model of the vehicle structure to obtain the corresponding model. A spatial monitoring network is set for the component information affecting NVH in the corresponding model. Here, the component information affecting NVH to be studied in this application is displayed in the three - dimensional model of the vehicle structure, which is convenient for the staff to understand the component information affecting NVH. After setting up the corresponding model for monitoring the vehicle, the component information affecting NVH corresponding to the vehicle after the current collision can be determined as the target vehicle component information. The vehicle after the current collision is used as the target vehicle and is matched in the vehicle NVH management library to obtain the corresponding vehicle side as the target vehicle side, which has a good data analysis effect on the vehicle after the current collision; In one embodiment, step S22 of setting a spatial monitoring network for the component information affecting NVH in the corresponding model includes: S221. Mark the corresponding component information affecting NVH for the three - dimensional model of the vehicle to obtain the corresponding model; S222. Select the center point of the component shape in the component information affecting NVH based on the corresponding model, and use the center point as the spatial monitoring point. Among them, the spatial monitoring points include noise monitoring points, vibration monitoring points, and sound - vibration roughness monitoring points; S223. Configure the corresponding cloud server for the spatial monitoring points and establish a communication connection between the spatial monitoring points and the cloud server; S224. Connect the spatial monitoring points pairwise based on the corresponding model to obtain a plurality of monitoring lines, collect the position information between the monitoring lines and mark it in the three - dimensional model of the vehicle construction to obtain the spatial monitoring network; As described in the above steps S221 - S224, after obtaining the three - dimensional model of the vehicle structure, mark the component information affecting NVH in the components of the three - dimensional model of the vehicle structure to obtain the corresponding model. Then, in the corresponding model, obtain the center points of the components in the component information affecting NVH. Set noise monitoring points, vibration monitoring points, and sound - vibration roughness monitoring points at the center points of the component shapes as spatial monitoring points. Among them, the selection method of the center point of the component shape is: set multiple position - positioning points on a component (each component is respectively set with corresponding multiple position - positioning points), and obtain the mid - point at the middle position of the distribution of the position - positioning points as the center point of the component shape. Here, the position - positioning point is a module set on the component for position - positioning. The number of spatial monitoring points is the same as the number of components in the component information affecting NVH. Then, configure the corresponding cloud server for the spatial monitoring points and establish a communication connection between the spatial monitoring points and the cloud server. Here, the NVH performance of the vehicle is monitored through the spatial monitoring points and transmitted to the corresponding cloud server for storage and subsequent data analysis. Then, connect the spatial monitoring points in pairs through the corresponding model to obtain multiple monitoring lines, collect the position information between the monitoring lines and mark it in the three - dimensional model of the vehicle structure to obtain a spatial monitoring network. Through this spatial monitoring network, the position information of the monitoring lines can be known. Here, the position information includes the length value of the monitoring line and the position and angular relationship between the monitoring lines, and obtain the state of the spatial monitoring network in the qualified state in the corresponding model. Here, the corresponding model of the spatial monitoring network and the spatial monitoring points is set as a component model of the vehicle in a qualified state, which is used for subsequent comparison and reference of the components of the collided vehicle, better improving the NVH of the collided vehicle, and accurately understanding the problems affecting NVH of the collided vehicle; In one embodiment, step S3 of obtaining the collision position of the target vehicle and obtaining the corresponding local component information based on the collision position in the component information of the target vehicle includes: S31. Obtain the collision position of the target vehicle and perform position matching in the corresponding model to the corresponding collision - position model based on the collision position; S32. Based on the collision - position model, obtain the component information affecting NVH corresponding in the component information of the target vehicle as local component information; As described in the above steps S31 and S32, after determining the corresponding target vehicle, the corresponding target vehicle component information can be obtained. Here, the target vehicle component information is the information of all components affecting NVH in the corresponding model. Then, a detailed understanding of the collision is carried out. First, the collision position of the target vehicle needs to be obtained. Based on the collision position, the position in the corresponding model is matched with the corresponding collision position model. After determining the collision position model, the information of the components affecting NVH involved in the collision position can be obtained as local component information. Here, the local component information is the information of the components affecting NVH at the corresponding collision position in the corresponding model, which is the qualified component information in the comparison model and has a good effect on vehicle collision analysis, facilitating the subsequent NVH performance analysis of the collision position. In one embodiment, step S4 of obtaining the current component information of the collision position of the target vehicle and establishing a corresponding relationship between the local component information and the current component information to obtain component difference information includes: S41. Obtain the current component information of the collision position of the target vehicle, construct a current collision model based on the current component information, and set spatial monitoring points and a spatial monitoring network for the corresponding current collision model as monitoring information and transmit it to the corresponding cloud server. S42. In the cloud server, compare the monitoring information of the current collision model with the spatial monitoring points and the spatial monitoring network in the corresponding model corresponding to the local component information to obtain difference information. As described in the above steps S41 and S42, obtain the current component information of the collision position of the target vehicle. Among them, the current component information includes the component name, component shape, and the position between adjacent components. Then, a current collision model is constructed according to the current component information. For the corresponding current collision model, spatial monitoring points and a spatial monitoring network are set as monitoring information. After setting the spatial monitoring points and the spatial monitoring network of the collision position of the target vehicle as monitoring information, the monitoring information is then transmitted to the corresponding cloud server. In the cloud server, the monitoring information of the current collision model is compared with the spatial monitoring points and the spatial monitoring network in the corresponding model corresponding to the local component information to obtain difference information. Through the difference information, the difference between the current collision model and the corresponding model can be obtained, which can greatly improve the analysis ability of the NVH performance of the vehicle. In one embodiment, step S42 of comparing the monitoring information of the current collision model with the spatial monitoring points and the spatial monitoring network in the corresponding model corresponding to the local component information in the cloud server to obtain difference information includes: S421. Overlap the spatial monitoring network in the monitoring information with the corresponding spatial monitoring network in the corresponding model to obtain first difference data. Among them, the first difference data includes the length value of the monitoring line where there is a monitoring line and the monitoring lines with changes in the position and angle relationship between the monitoring lines. S422. Obtain the NVH performance information of the component based on the spatial monitoring points in the monitoring information, compare the NVH performance information of the component with the standard NVH performance information of the component information affecting NVH in the corresponding model to obtain the second difference data; S423. Use the first difference data and the second difference data as the difference information; As described in the above steps S421 - S423, overlap the spatial monitoring network in the monitoring information with the corresponding spatial monitoring network in the corresponding model to obtain the first difference data. Here, the spatial monitoring network is composed of the connection combinations of multiple spatial monitoring points. When the position positioning points set on the component are collided and deformed or displaced, the central point of the distribution of multiple position positioning points on the component will definitely change. For example, on a car arc panel component, multiple position positioning points are set, and these multiple position positioning points are also distributed according to the arc shape of the car arc panel component. When it is collided and deformed or displaced, the central point will change, and the monitoring line between the central point and other central points will change in value. Among them, the first difference data includes the monitoring lines with the length value of the monitoring line and the changes in the position and angle relationship between the monitoring lines. Here, overlap the spatial monitoring network corresponding to the current collision model at the collision position of the target vehicle with the corresponding model. After the overlap, the difference of the spatial monitoring points can be obtained. Here, by obtaining the first difference data through the change in the length value of the monitoring line and the change in the position and angle relationship between the monitoring lines, the vehicle deformation problem caused by the collision position of the target vehicle can be accurately understood. Then, obtain the NVH performance information of the component based on the spatial monitoring points in the monitoring information, compare the NVH performance information of the component with the standard NVH performance information of the component information affecting NVH in the corresponding model to obtain the second difference data. Here, first, the standard NVH performance information of the target vehicle is set, and then the NVH performance information of the component is obtained based on the spatial monitoring points in the monitoring information and compared with the standard NVH performance information to obtain the second difference data. Using the first difference data and the second difference data as the difference information can accurately understand the vehicle problems caused by the collision position of the target vehicle, and then the vehicle can be maintained and adjusted according to the difference information, thereby reducing or eliminating the NVH performance problems caused by the collision, which has a good effect on improving the NVH performance; In one embodiment, step S5 of adjusting the current component information based on the difference information to improve the NVH performance includes: S51. Obtain the spatial monitoring points corresponding to the monitoring lines based on the first difference data, and adjust the component information affecting NVH based on the spatial monitoring points; S52. Adjust the component information affecting NVH based on the second difference data; As described in the above steps S51 and S52, a monitoring line with changes will be obtained in the first difference data. Then, corresponding spatial monitoring points are obtained based on the length values of the existing monitoring lines and the monitoring lines with changes in the positional and angular relationships between the monitoring lines, which means that the positions of these spatial monitoring points have changed. In this case, there may be a situation where the component is displaced due to a collision, and this displacement will lead to a reduction in NVH performance. Subsequently, the position and shape of the component are maintained based on the component displacement situation to improve the NVH performance. In addition, the component information affecting NVH needs to be adjusted through the second difference data. Here, the second difference data reflects the NVH performance data collected at the spatial monitoring points, such as noise, vibration, and harshness. Here, it is possible to determine whether there are problems with the component based on the component NVH performance information collected at the spatial monitoring points and the standard NVH performance information. In this way, the first difference data and the second difference data can jointly be used for the maintenance and improvement of the NVH performance of the target vehicle, which has a good analysis effect.
[0017] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claimed rights.
Claims
1. A method for improving NVH after a vehicle collision based on structural analysis, characterized in that, Including the following steps: Obtain vehicle type information based on big data, and set a corresponding vehicle NVH management library based on the vehicle type information. Among them, the vehicle NVH management library includes multiple vehicle type information and corresponding component information that affects NVH; Obtain the vehicle type information of the target vehicle, and match the corresponding component information that affects NVH based on the vehicle NVH management library as the target vehicle component information; Obtain the collision location of the target vehicle, and obtain the corresponding local component information from the target vehicle component information based on the collision location; Obtain the current component information of the collision location of the target vehicle, and establish a correspondence relationship between the local component information and the current component information to obtain component difference information; Adjust the current component information based on the difference information to improve the NVH performance.
2. A method for improving NVH after a vehicle collision based on structural analysis according to claim 1, characterized in that: The step of obtaining vehicle type information based on big data and setting a corresponding vehicle NVH management library based on the vehicle type information includes: Obtain multiple vehicle type information based on big data. Among them, the vehicle type information includes the vehicle name and vehicle model; Construct a vehicle end based on the vehicle type information, and select the corresponding component information that affects NVH based on the vehicle end. Among them, the component information that affects NVH includes the component name, component shape, position between adjacent components, and factors corresponding to the component; Correspond the vehicle end with the component information that affects NVH and store it to obtain the vehicle NVH management library.
3. A method for improving NVH after a vehicle collision based on structural analysis according to claim 1, characterized in that: The step of matching the corresponding component information that affects NVH based on the vehicle NVH management library as the target vehicle component information includes: Construct a three-dimensional vehicle structure model based on the vehicle end and the corresponding component information that affects NVH in the vehicle NVH management library; Mark the component information that affects NVH in the components of the three-dimensional vehicle structure model to obtain a corresponding model, and set a space monitoring network for the component information that affects NVH in the corresponding model; Obtain the vehicle type information of the target vehicle, and match it in the vehicle NVH management library based on the vehicle type information of the target vehicle to obtain the corresponding vehicle end as the target vehicle end; Obtain the target vehicle component information based on the target vehicle end to obtain the corresponding model.
4. A method for improving NVH after a vehicle collision based on structural analysis according to claim 3, characterized in that: The step of setting a space monitoring network for the component information that affects NVH in the corresponding model includes: Mark the corresponding component information that affects NVH for the three-dimensional vehicle structure model to obtain a corresponding model; Select the center point of the component shape in the component information that affects NVH based on the corresponding model, and use the center point as the space monitoring point. Among them, the space monitoring points include noise monitoring points, vibration monitoring points, and sound vibration roughness monitoring points; Configure the space monitoring points with corresponding cloud servers, and establish a communication connection between the space monitoring points and the cloud servers; Connect the space monitoring points pairwise based on the corresponding model to obtain multiple monitoring lines, collect the position information between the monitoring lines and mark it in the three-dimensional vehicle structure model to obtain the space monitoring network.
5. A method for improving NVH after a vehicle collision based on structural analysis according to claim 1, characterized in that: The step of obtaining the collision location of the target vehicle and obtaining the corresponding local component information from the target vehicle component information based on the collision location includes: Obtain the collision location of the target vehicle, and perform position matching in the corresponding model based on the collision location to obtain the corresponding collision location model; Based on the collision position model, obtain the component information corresponding to the NVH-impacting component information in the target vehicle component information as the local component information.
6. A method for improving NVH after a vehicle collision based on structural analysis according to claim 1, characterized in that: The step of obtaining the current component information of the collision position of the target vehicle and establishing the corresponding relationship between the current component information based on the local component information to obtain the component difference information includes: Obtain the current component information of the collision position of the target vehicle, construct the current collision model based on the current component information, set the space monitoring points and the space monitoring network corresponding to the current collision model as the monitoring information and transmit it to the corresponding cloud server; In the cloud server, compare the monitoring information of the current collision model with the space monitoring points and the space monitoring network in the corresponding model corresponding to the local component information to obtain the difference information.
7. A method for improving NVH after a vehicle collision based on structural analysis according to claim 6, characterized in that: The step of comparing the monitoring information of the current collision model with the space monitoring points and the space monitoring network in the corresponding model corresponding to the local component information in the cloud server to obtain the difference information includes: Coincide the space monitoring network in the monitoring information with the corresponding space monitoring network in the corresponding model to obtain the first difference data, where the first difference data includes the length values of the monitoring lines with monitoring lines and the position and angular relationship changes between the monitoring lines; Obtain the component NVH performance information based on the space monitoring points in the monitoring information, and compare the component NVH performance information with the standard NVH performance information of the component information corresponding to the NVH-impacting component information in the corresponding model to obtain the second difference data; Use the first difference data and the second difference data as the difference information.
8. A method for improving NVH after a vehicle collision based on structural analysis according to claim 1, characterized in that: The step of adjusting the current component information based on the difference information to improve the NVH performance includes: Obtain the space monitoring points corresponding to the monitoring lines based on the first difference data, and adjust the component information affecting NVH based on the space monitoring points; Adjust the component information affecting NVH based on the second difference data.