Evaluation method, device and program product of part related to outer surface of vehicle

By evaluating the opening surface features and cavity features of parts in a vehicle simulation model, identifying wind noise levels and making design adjustments, the problem of evaluating cavity noise from vehicle exterior surface parts is solved, thus improving the vehicle's NVH performance.

CN121723728APending Publication Date: 2026-03-24VOLVO CAR CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-24
Publication Date
2026-03-24

AI Technical Summary

Technical Problem

Existing technologies make it difficult to effectively assess the impact of vehicle exterior parts on cavity noise, making it difficult to predict and resolve wind noise issues after vehicles are put into production.

Method used

By determining the location of the opening surface features and cavity features of the part model based on the vehicle simulation model, the wind noise level of the cavity features is identified using the main extension direction and wind noise level assessment method, and adjustments are made during the vehicle design stage to reduce wind noise.

Benefits of technology

Identifying and resolving cavity noise issues during the vehicle design phase reduces the need for real-vehicle testing and improves vehicle NVH performance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to an evaluation method, device and computer program product for a part related to an outer surface of a vehicle. The method comprises the following steps: on the basis of a vehicle simulation model corresponding to the vehicle, evaluating a part related to the outer surface of the vehicle; determining that a part model corresponding to the part participates in forming an opening surface feature, and determining a main extension direction of the opening surface feature and a position of a cavity feature communicated with the opening surface feature; based on the main extension direction and the position, identifying the cavity feature as having one of at least three wind noise levels, the at least three wind noise levels comprise a high wind noise level, a medium wind noise level and a low wind noise level corresponding to the influence degree of wind noise generated by the cavity corresponding to the cavity feature on a user when the vehicle runs at a high speed; and evaluating the part based on one of the at least three wind noise levels. It is helpful to assess whether a part associated with the exterior surface of the vehicle has a reasonable design to overcome cavity noise.
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Description

Technical Field

[0001] This application relates to the field of vehicle technology, and more specifically, to evaluation methods, apparatus, and computer program products for parts related to the outer surface of a vehicle. Background Technology

[0002] In the automotive consumer and manufacturing sectors, users and vehicle manufacturers are increasingly emphasizing NVH (noise, vibration, and harshness) performance, with wind noise being a particular concern for users. Wind noise, especially vehicle cavity noise, refers to the noise generated when oncoming wind enters the vehicle's cavity at high speeds. Summary of the Invention

[0003] One object of this application is to provide an evaluation method, apparatus, and computer program product for parts related to the exterior surface of a vehicle, which helps to evaluate whether the parts related to the exterior surface of a vehicle have a reasonable design to overcome cavity noise.

[0004] According to one aspect of this application, an evaluation method for a part related to the outer surface of a vehicle is provided, comprising: determining, based on a vehicle simulation model corresponding to the vehicle, that a part model corresponding to the part participates in forming an opening surface feature, and determining a principal extension direction of the opening surface feature and the position of a cavity feature connected to the opening surface feature; identifying the cavity feature as having one of at least three wind noise levels based on the principal extension direction and the position, the at least three wind noise levels including a high wind noise level, a medium wind noise level, and a low wind noise level corresponding to the degree of impact on a user by wind noise generated by the cavity corresponding to the cavity feature under high-speed driving of the vehicle; and evaluating the part based on one of the at least three wind noise levels.

[0005] Optionally, the steps of determining that a part model corresponding to the part participates in forming the opening surface feature, and determining the main extension direction of the opening surface feature and the position of the cavity feature connected to the opening surface feature include: determining, based on the vehicle simulation model, a first peripheral feature related to the periphery of the outermost surface of the part model and a second peripheral feature related to the periphery of the corresponding surface of another part model, wherein the periphery of the part model is adjacent to the periphery of the other part model; determining, based on the deviation between the first peripheral feature and the second peripheral feature, that the part model participates in forming the opening surface feature and determining the main extension direction; and determining, at least based on a first internal feature of the part model relative to the opening surface feature and a second internal feature of the other part model relative to the opening surface feature, the position of the cavity feature connected to the opening surface feature.

[0006] Optionally, the step of identifying the cavity feature as having one of at least three wind noise levels based on the main extension direction and the location includes: identifying the cavity feature as having the high wind noise level based on the main extension direction being along the lateral direction of the vehicle simulation model and the location being in front of the leading edge of the tailgate model in the vehicle simulation model; identifying the cavity feature as having the low wind noise level based on the main extension direction being along the lateral direction and the location being behind the leading edge of the tailgate model in the vehicle simulation model; identifying the cavity feature as having the low wind noise level based on the main extension direction being along the vertical direction of the vehicle simulation model and the location being below the upper edge of the outer watershed model in the vehicle simulation model; and / or identifying the cavity feature as having the low wind noise level based on the main extension direction including multiple extension directions and the location being at a corner of the part model.

[0007] Optionally, the step of identifying the cavity feature as having at least one of three wind noise levels based on the main extension direction and the location includes: determining the length of the opening surface feature along the main extension direction and the volume of the cavity feature based on the main extension direction along the vertical or longitudinal direction of the vehicle simulation model and the location being above the upper edge of the outer watershed model in the vehicle simulation model; and identifying the cavity feature as having at least one of three wind noise levels based at least on the ratio of the volume to the length.

[0008] Optionally, the step of determining the length of the opening surface feature along the main extension direction and the volume of the cavity feature includes: in a finite element model corresponding to the vehicle simulation model, determining a plurality of finite element features in the finite element model corresponding to the cavity feature; calculating, based on a finite element algorithm, the length of some of the finite element features defining the opening surface feature along their main extension direction as the length of the opening surface feature; sealing the first finite element feature to form a closed second finite element feature; and calculating, based on a finite element algorithm, the volume of the closed second finite element feature as the volume of the cavity feature.

[0009] Optionally, the step of identifying the cavity feature as having one of at least three wind noise levels based at least on the ratio of the volume to the length includes: identifying the cavity feature as having the low wind noise level based on the ratio being less than a first threshold; and identifying the cavity feature as having the medium wind noise level based on the ratio being greater than or equal to the first threshold and less than a second threshold.

[0010] Optionally, the step of identifying the cavity feature as having one of at least three wind noise levels based at least on the ratio of the volume to the length includes: identifying the cavity feature as having the low wind noise level based on the ratio being greater than or equal to the second threshold and having at least one component model near the opening surface feature; and identifying the cavity feature as having the high wind noise level based on the ratio being greater than or equal to the second threshold and not having the at least one component model near the opening surface feature.

[0011] Optionally, the step of identifying the cavity feature as having at least one of three wind noise levels based on the main extension direction and the location includes: identifying the cavity feature as a triangular prism cavity feature based on the fact that the main extension direction includes multiple extension directions and the location is defined at least by the corner of the connecting glue model connected to the part model; determining the triangular prism volume of the triangular prism cavity feature; and identifying the triangular prism cavity feature as having at least one of three wind noise levels based on the triangular prism volume.

[0012] Optionally, the step of determining the volume of the triangular prism cavity feature includes: in a finite element model corresponding to the vehicle simulation model, determining a plurality of finite element features in the finite element model corresponding to the triangular prism cavity feature; sealing some of the finite element features that define the opening surface feature to form a closed space; and calculating the volume of the closed space based on a finite element algorithm as the volume of the triangular prism cavity feature.

[0013] Optionally, the step of determining a plurality of finite element features in the finite element model corresponding to the triangular prism cavity feature includes: determining the plurality of finite element features based on the maximum possible assembly tolerance of a portion of the adhesive corresponding to the corner of the adhesive model, wherein the portion of adhesive connects to the corner side of the glass sunroof furthest from the vehicle at the maximum possible assembly tolerance.

[0014] Optionally, the step of identifying the triangular prism cavity feature as having one of at least three wind noise levels based on the volume of the triangular prism includes: identifying the triangular prism cavity feature as having the low wind noise level based on the triangular prism volume being less than a third threshold; identifying the triangular prism cavity feature as having the medium wind noise level based on the triangular prism volume being greater than or equal to the third threshold and less than a fourth threshold; and identifying the triangular prism cavity feature as having the high wind noise level based on the triangular prism volume being greater than or equal to the fourth threshold.

[0015] Optionally, the step of evaluating the component based on one of the at least three wind noise levels includes: based on one of the at least three wind noise levels being the low wind noise level, further evaluating whether the component requires installation space for installing a sealing component according to the wind noise target; based on one of the at least three wind noise levels being the medium wind noise level, evaluating whether the component requires installation space for installing a sealing component; and / or based on one of the at least three wind noise levels being the high wind noise level, evaluating whether the component needs to adjust its position, needs to change its structure, needs installation space for installing a sealing component, and / or needs a sealing component.

[0016] According to another aspect of this application, an evaluation apparatus for parts related to the exterior surface of a vehicle is provided, comprising: a processor; and a memory storing executable instructions thereon, which, when executed, cause the processor to perform an evaluation method for parts related to the exterior surface of a vehicle.

[0017] According to another aspect of this application, a computer program product is provided, wherein executable instructions are capable of running on a processor, and when executed by the processor, the executable instructions implement an evaluation method for parts related to the outer surface of a vehicle.

[0018] This application identifies cavity features with one of the at least three wind noise levels by searching for part models involved in forming the opening surface features in a vehicle simulation model, and further by identifying cavity features with one of the at least three wind noise levels based on the main extension direction and length of the opening surface features and the position and volume of cavity features connected to the opening surface features. This helps to promptly focus on parts that are particularly prone to cavity noise and to solve problems related to cavity noise before the vehicle is put into production or even real vehicle testing (e.g., wind tunnel testing).

[0019] Other features and advantages of this application will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0020] The accompanying drawings, which form part of this specification, illustrate embodiments of this application and, together with the specification, serve to explain the principles of this application.

[0021] Figure 1 This is a flowchart of an embodiment of the present application for an evaluation method of parts related to the outer surface of a vehicle.

[0022] Figure 2 yes Figure 1 The flowchart of step 101 in the method.

[0023] Figure 3 yes Figure 1 A schematic diagram illustrating the application of this method.

[0024] Figure 4 yes Figure 1 The flowchart of step 102 in the method.

[0025] Figure 5 yes Figure 1 Another illustration of the method in application.

[0026] Figure 6 yes Figure 1 Another illustration of the method in application.

[0027] Figure 7 yes Figure 4 The flowchart of step 303 in the method.

[0028] Figure 8 yes Figure 4 The flowchart of step 307 in the method. Detailed Implementation

[0029] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present application.

[0030] Technologies and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such technologies and equipment should be considered part of the specification.

[0031] In all the examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0032] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0033] The exterior surface of a vehicle relative to its external environment is formed by various parts (i.e., surface parts), including but not limited to the roof, radar covers, sunroof, tailgate (i.e., trunk lid), and outer rain guard. An opening surface is readily formed between two interconnected or adjacent parts, and this opening surface can be in fluid communication with a corresponding cavity. This cavity can be defined by the two parts or other vehicle parts associated with the two parts, such as those located within the two parts (i.e., non-surface parts). Because all these parts have different shapes, the shape characteristics of the opening surface and the shape characteristics of the corresponding cavity also differ. It is understood that a surface part here can include multiple interconnected (e.g., interconnected) portions, and not every portion will form the exterior surface of the vehicle. Generally, at least one portion of a surface part will form the exterior surface of the vehicle, while the remaining portions are located inside the vehicle relative to the exterior surface.

[0034] In order to efficiently search for cavities that generate wind noise when the vehicle is traveling at high speed, an evaluation method for parts related to the outer surface of a vehicle, according to an embodiment of this application, can be used.

[0035] like Figure 1 As shown, in step 101 of the evaluation method, based on the vehicle simulation model corresponding to the vehicle, the surface part model corresponding to the surface part is determined to participate in the formation of the opening surface feature, and the main extension direction of the opening surface feature and the position of the cavity feature connected to the opening surface feature are determined.

[0036] Here, the vehicle simulation model can be generated at least partially, and preferably entirely, by a computer or computer software (one or more) as a virtual vehicle model that can be displayed on a screen. The virtual vehicle model includes various part models and their parameters to reflect the structure, such as shape and size, of the corresponding parts of the vehicle. Parameters related to the positional relationships between the various part models also reflect the positional relationships between the corresponding parts of the vehicle. Professionals can manipulate the virtual vehicle model, for example, changing various parameters within the virtual vehicle model and adding new part models to desired positions within the virtual vehicle model.

[0037] For example, step 101 may include, for example, Figure 2 Steps 101a-101c are shown.

[0038] In step 101a, based on the vehicle simulation model, all surface part models in the vehicle simulation model are determined, and reference is made to... Figure 3Furthermore, a first peripheral feature associated with the periphery 8a1 of the outermost surface 8a of the surface part model 8 and a second peripheral feature associated with the periphery 6a1 of the corresponding surface 6a of another surface part model 6 are determined, wherein the periphery 8a1 of the surface part model is adjacent to the periphery 6a1 of the other surface part model. As described above, at least one portion of the surface part will form the outer surface of the vehicle; therefore, the outermost surface 8a of the surface part model 8 corresponds to the outer surface of said at least one portion of the surface part. It can be understood that the opening surface feature 12 (as shown by the dashed line) represents an opening surface between the surface part and another surface part corresponding to the other surface part model 6, and the cavity feature 16 represents a cavity in fluid communication with the opening surface.

[0039] Furthermore, the first and second peripheral features, as specific values ​​of parameters in the vehicle model, can be expressed in various forms, such as coordinates, fitting mathematical formulas, etc.

[0040] In step 101b, based on the deviation between the first peripheral feature and the second peripheral feature, it is determined that the surface part model participates in forming the opening surface feature, and the main extension direction of the opening surface feature is determined. For example, the first peripheral feature may include a first set of position coordinates, and the second peripheral feature may include a second set of position coordinates. The first set of position coordinates can be mapped to the second set of position coordinates to calculate the set of position coordinate differences between the two (i.e., the deviation). The magnitude of the elements in the set of position coordinate differences (e.g., greater than a certain threshold) can indicate that there is a non-negligible opening surface feature 12 between the first peripheral feature and the second peripheral feature. For example, the direction of the elements in the set of position coordinate differences can be used to determine the main extension direction of the opening surface feature (in... Figure 3 (In the middle, perpendicular to the paper).

[0041] In step 101c, the position of the cavity feature connected to the opening surface feature is determined based at least on a first internal feature of the surface part model relative to the opening surface feature and a second internal feature of the other surface part model relative to the opening surface feature. It is understood that the cavity feature 16 is defined by the surface part model 8, the other surface part model 6, and optionally other associated part models 9, and is located inside the vehicle simulation model relative to the opening surface feature 12. Therefore, the position of the cavity feature (e.g., a third set of position coordinates) can be determined based on the first internal feature, the second internal feature, and the features of optionally other associated part models. Referring to the various shapes of surface parts and non-surface parts, the surface part models and the corresponding non-surface part models also have correspondingly different shapes. Therefore, the main extension direction of the opening surface feature may be, but is not limited to, along at least one of a plurality of extension directions, including the model lateral direction Y corresponding to the vehicle's lateral direction, the model vertical direction Z corresponding to the vehicle's vertical direction, and the model longitudinal direction X corresponding to the vehicle's longitudinal direction. The length of the opening surface feature along the main extension direction is significantly greater than the length of the opening surface feature along the other extension directions. Similarly, the shape of the cavity feature is also irregular. The cavity feature may contain various protruding structural features, which affect its volume. However, the cavity feature and the opening surface feature maintain essentially unobstructed connectivity; that is, no protruding structure completely or significantly obstructs the opening surface feature. The position of the cavity feature can be defined based on various parameters in the associated part model within the vehicle simulation model, for example, defined as a third set of position coordinates, to determine the length of the opening surface feature along the main extension direction, the position of the cavity feature, and its volume. Here, the accuracy of the length of the opening surface feature along the main extension direction and the volume of the cavity feature determined based on the vehicle simulation model is relatively low.

[0042] Return to Figure 1 In step 102, based on the main extension direction of the opening surface features and the location of the cavity features, the cavity features are identified as having one of at least three wind noise levels. These at least three wind noise levels include high wind noise, medium wind noise, and low wind noise levels, corresponding to the degree of impact of wind noise generated by the cavity on the user at high vehicle speeds. It is understood that, depending on the specific application, other wind noise levels besides high, medium, and low wind noise levels may also be set.

[0043] In step 103, the surface part is evaluated based on one of the at least three wind noise levels. For example, a low wind noise level indicates that the wind noise generated by the cavity has a relatively small impact on the user. Therefore, the surface part can be further evaluated to determine whether it needs mounting space for a sealing component, such as a sealing strip or foam, to help seal the cavity and reduce or avoid wind noise, based on wind noise targets (e.g., stringent or lenient targets). For example, a medium wind noise level indicates that the wind noise generated by the cavity has a moderate impact on the user. Therefore, the surface part can be evaluated to require mounting space for a sealing component. After wind tunnel testing confirms the wind noise generated by the cavity, the sealing component can be installed in the mounting space. When there is no suitable mounting space, it may be necessary to change the configuration of the surface part or the surface part model. For example, a high wind noise level indicates that the wind noise generated by the cavity has a significant impact on the user. Therefore, the surface part may need to be repositioned, its structure may need to be changed, mounting space for a sealing component may be required, and / or a sealing component may be needed. If the cavity features are identified as having a high wind noise level, the position and structure of the surface part models and / or the addition of sealing component models relative to the surface part models can be changed before the vehicle simulation model is "frozen" to allow for post-processing based on the updated vehicle simulation model.

[0044] Optionally, such as Figure 4 As shown, step 102 includes parallel steps 201-205, classifying a corresponding cavity feature connected to each opening surface feature based on the main extension direction of each opening surface. For example, in step 201, such as Figure 5 As shown, the first cavity feature is classified, and the main extension direction of the opening surface feature 10 connected to the first cavity feature includes an extension direction along the model's transverse direction Y (perpendicular to the paper and inwards). In step 202, the second cavity feature is classified, and the main extension direction of the opening surface feature 20 connected to the second cavity feature includes an extension direction along the model's vertical direction Z. In step 203, the third cavity feature is classified, and the main extension direction of the opening surface feature 30 connected to the third cavity feature includes an extension direction along the model's longitudinal direction X. In step 204, as... Figure 6 As shown, the triangular prism cavity feature 40 is categorized (as indicated by the dashed break line). The main extension direction of the opening surface feature communicating with the triangular prism cavity feature 40 includes multiple extension directions, and the position of the triangular prism cavity feature 40 is defined at least by the corner of the adhesive model 44 (as indicated by the dashed break line) connected to the surface part model (e.g., the glass skylight part model 42). In step 205, the process returns to... Figure 5The corner cavity feature is classified as follows: the main extension direction of the opening surface feature 50 connected to the corner cavity feature includes multiple extension directions and the corner cavity feature is located at the corner of the surface part model (e.g., the tail cap part model 44 which is not associated with the adhesive model).

[0045] Following step 201, based on the location of the first cavity feature, it is identified as having one of at least three wind noise levels. For example, in step 301, it is determined whether the first cavity feature is in front of the leading edge of the tailgate model in the vehicle simulation model. If so, the first cavity feature is identified as having a high wind noise level in step 401; if not (i.e., the location of the first cavity feature is behind the leading edge of the tailgate model in the vehicle simulation model), the first cavity feature is identified as having a low wind noise level in step 402. Here, the directions "forward" and "backward" are defined based on the longitudinal direction X of the model and on the tailgate being in a closed state.

[0046] Following step 202, based on the location of the second cavity feature, it is identified as having at least one of three wind noise levels. For example, in step 302, it is determined whether the second cavity feature is below the upper edge of the outer watershed model in the vehicle simulation model. If so, the second cavity feature is identified as having a low wind noise level in step 403; if not (i.e., the location of the second cavity feature is above the upper edge of the outer watershed model in the vehicle simulation model), the process proceeds to step 303. Here, the directions "up" and "down" are defined based on the vertical direction Z of the model.

[0047] Following step 203, based on the location of the third cavity feature, the third cavity feature is identified as having one of at least three wind noise levels. For example, in step 303, the length of the corresponding opening surface feature along the main extension direction is determined, and the volume of the second cavity feature or the third cavity feature connected to the corresponding opening surface feature is determined. Next, in step 304, it is determined whether the ratio of the volume of the second cavity feature or the volume of the third cavity feature to the length of the corresponding opening surface feature is less than a first threshold. If yes, then in step 404, the second cavity feature or the third cavity feature is identified as having a low wind noise level. If no (i.e., the ratio is greater than or equal to the first threshold), then in step 305, it is determined whether the ratio is less than a second threshold. If yes, then in step 405, the second cavity feature or the third cavity feature is identified as having a medium wind noise level. Here, the first threshold is determined based on ratios that do not generate wind noise in past experience, while the second threshold is determined based on ratios that generate wind noise in past experience.

[0048] Optionally, refer to Figure 7 Step 303 includes steps 303a-303d.

[0049] In step 303a, within the finite element model corresponding to the vehicle simulation model, multiple finite element features corresponding to the cavity features are determined. Here, these multiple finite element features together divide the cavity feature into multiple volume elements (the volume of each volume element is known), and the volume of the cavity feature is determined by counting the number of these multiple volume elements. Compared to directly using the vehicle simulation model, using the finite element model allows for more flexible and accurate calculation of the cavity feature volume. For example, when there are some significant protruding structural features in the cavity feature, the volume of the cavity feature can be determined by first dividing it into multiple sub-cavity features based on the protruding structural features, and then dividing each of these sub-cavity features into multiple volume elements. Thus, the required cavity feature volume can be calculated according to the specific application. In some cases, the volume of the cavity feature determined based on the vehicle simulation model can also be used directly.

[0050] In step 303b, the lengths of some of the finite element features defining the opening surface feature are calculated along their main extension direction based on the finite element algorithm, and are used as the lengths of the opening surface feature. As mentioned above, using a finite element model allows for more flexible and accurate determination of the lengths of the opening surface features. In some cases, the lengths of the opening surface features determined based on the vehicle simulation model can also be used directly.

[0051] In step 303c, some of the finite element features are blocked so that the plurality of finite element features form a closed space.

[0052] In step 303d, the volume of the enclosed space is calculated based on the finite element algorithm to serve as the volume of the cavity feature.

[0053] Next, if the judgment result in step 305 is negative, that is, the ratio is greater than or equal to the second threshold, then in step 306, if... Figure 3 As shown, it is determined whether there is at least one component model 14 near the opening surface feature 12 between surface part model 8 and another surface part model 6. If yes, then in step 406, the second cavity feature or the third cavity feature is identified as having a low wind noise level; if not, then in step 407, the second cavity feature or the third cavity feature is identified as having a high wind noise level. Here, the at least one component model 14 corresponds to at least one component for a vehicle (e.g., a hinge, wiring harness, etc.), and the at least one component can be flexible or fluffy. It is understood that the presence of the at least one component model 14 will disrupt the passage from the opening surface feature 12 into the second cavity feature.

[0054] Following step 204, in step 307, it will be determined that... Figure 6The volume of the triangular prism cavity feature 40. It is understood that, referring to a real vehicle, a connecting adhesive model 44 is positioned between the glass sunroof model 42 and a related part model (e.g., a roof body model) to connect the glass sunroof model 42 to the related part model. The corners of the connecting adhesive model 44 conform to the corners of the glass sunroof model 42. The triangular prism cavity feature 40 is defined between the corners of the connecting adhesive model 44, the corners of the glass sunroof model 42, and the related part model. The triangular prism cavity feature 40 is named for its shape, which approximates a triangular prism. The corresponding opening surface feature communicating with the triangular prism cavity feature 40 includes two surfaces defined by the two sides 42a and 42b constituting the corners of the glass sunroof model 42. Therefore, the main extension direction of the corresponding opening surface feature includes two extension directions. The triangular prism cavity feature 40 may generate wind noise.

[0055] Optionally, refer to Figure 8 Step 307 includes steps 307a-307c, which have effects similar to steps 303a-303d.

[0056] In step 307a, in the finite element model corresponding to the vehicle simulation model, multiple finite element features corresponding to the triangular prism cavity feature 40 are determined in the finite element model.

[0057] In step 307b, some of the finite element features that define open surface features are closed, so that the multiple finite element features form a closed space.

[0058] In step 307c, the volume of the enclosed space is calculated based on the finite element algorithm to serve as the volume of the triangular prism cavity feature 40.

[0059] Optionally, based on the maximum possible assembly tolerance of a portion of the adhesive corresponding to the corner of the adhesive model 44, multiple finite element features of the triangular prism cavity feature 40 are determined, wherein the portion of adhesive connects to the corner side of the sunroof furthest from the vehicle under the maximum possible assembly tolerance. Thus, whether the triangular prism cavity feature 40 might generate wind noise can be determined based on the maximum possible volume of the triangular prism cavity feature 40.

[0060] In step 308, it is determined whether the volume of the triangular prism cavity feature 40 is less than the third threshold. If yes, then in step 408, the triangular prism cavity feature 40 is marked as having a low wind noise level. If no (i.e., the volume of the triangular prism cavity feature 40 is greater than or equal to the third threshold), then in step 390, it is determined whether the volume of the triangular prism cavity feature 40 is less than the fourth threshold. If yes (i.e., the volume of the triangular prism cavity feature 40 is greater than or equal to the third threshold and less than the fourth threshold), then in step 409, the triangular prism cavity feature 40 is marked as having a medium wind noise level. If no (i.e., the volume of the triangular prism cavity feature 40 is greater than or equal to the fourth threshold), then in step 410, the triangular prism cavity feature 40 is marked as having a high wind noise level.

[0061] Here, the third threshold is determined based on the volume of the triangular prism cavity feature 40 that does not generate wind noise in the past, while the fourth threshold is determined based on the volume of the triangular prism cavity feature 40 that generates wind noise in the past.

[0062] After step 205, in step 411, the corner cavity feature is identified as having a low wind noise level.

[0063] In one embodiment of this application, an evaluation apparatus for parts related to the outer surface of a vehicle is provided, comprising a processor and a memory storing executable instructions, which, when executed, cause the processor to perform the aforementioned evaluation method for parts related to the outer surface of a vehicle.

[0064] In one embodiment of this application, a computer program product is also provided, wherein executable instructions are capable of running on a processor, and when executed by the processor, the executable instructions implement the above-described evaluation method for parts related to the outer surface of a vehicle.

[0065] While specific embodiments of this application have been described in detail by way of examples, those skilled in the art should understand that the above examples are for illustrative purposes only and are not intended to limit the scope of this application. Those skilled in the art should understand that modifications can be made to the above embodiments without departing from the scope and spirit of this application. The scope of this application is defined by the appended claims.

Claims

1. A method for evaluating parts related to the outer surface of a vehicle, comprising: Based on the vehicle simulation model corresponding to the vehicle, the part model corresponding to the part is determined to participate in the formation of the opening surface feature, and the main extension direction of the opening surface feature and the position of the cavity feature connected to the opening surface feature are determined. Based on the stated main extension direction and the stated location, the cavity feature is identified as having one of at least three wind noise levels, the at least three wind noise levels including a high wind noise level, a medium wind noise level, and a low wind noise level corresponding to the degree of impact on the user from wind noise generated by the cavity corresponding to the cavity feature under high-speed vehicle operation; and The component is evaluated based on one of the at least three wind noise levels.

2. The evaluation method according to claim 1, wherein, The steps of determining the part model corresponding to the part that participates in forming the opening surface feature, and determining the main extension direction of the opening surface feature and the position of the cavity feature connected to the opening surface feature include: Based on the vehicle simulation model, a first peripheral feature related to the periphery of the outermost surface of the part model and a second peripheral feature related to the periphery of the corresponding surface of another part model are determined, wherein the periphery of the part model is adjacent to the periphery of the other part model. Based on the deviation between the first peripheral feature and the second peripheral feature, it is determined that the part model participates in forming the opening surface feature, and the main extension direction is determined; and The position of the cavity feature connected to the opening surface feature is determined based at least on a first internal feature of the part model relative to the opening surface feature and a second internal feature of another part model relative to the opening surface feature.

3. The evaluation method according to claim 1 or 2, wherein, The step of identifying the cavity feature as having at least one of three wind noise levels based on the main extension direction and the location includes: Based on the main extension direction along the lateral direction of the vehicle simulation model and the position in front of the leading edge of the tailgate model in the vehicle simulation model, the cavity feature is identified as having the high wind noise level. Based on the fact that the main extension direction is along the lateral direction and the location is behind the leading edge of the tail cover model in the vehicle simulation model, the cavity feature is identified as having the low wind noise level. Based on the fact that the main extension direction is along the vertical direction of the vehicle simulation model, and the location is below the upper edge of the outer watershed model in the vehicle simulation model, the cavity feature is identified as having the low wind noise level; and / or Based on the fact that the main extension direction includes multiple extension directions and the location is at the corner of the part model, the cavity feature is identified as having the low wind noise level.

4. The evaluation method according to claim 1 or 2, wherein, The step of identifying the cavity feature as having at least one of three wind noise levels based on the main extension direction and the location includes: Based on the primary extension direction along the vertical or longitudinal direction of the vehicle simulation model, and the position above the upper edge of the outer watershed model in the vehicle simulation model, the length of the opening surface feature along the primary extension direction and the volume of the cavity feature are determined; and The cavity features are identified as having one of at least three wind noise levels, based at least on the ratio of the volume to the length.

5. The evaluation method according to claim 4, wherein, The steps of determining the length of the opening surface feature along the main extension direction and the volume of the cavity feature include: In the finite element model corresponding to the vehicle simulation model, a plurality of finite element features corresponding to the cavity features are determined in the finite element model; The length of some finite element features defining the opening surface feature among the plurality of finite element features is calculated along their main extension direction based on the finite element algorithm, and is used as the length of the opening surface feature. To seal the first finite element feature and form a closed second finite element feature; and The volume of the closed second finite element feature is calculated based on the finite element algorithm, and is used as the volume of the cavity feature.

6. The evaluation method according to claim 4, wherein, The step of identifying the cavity feature as having one of at least three wind noise levels, based at least on the ratio of the volume to the length, includes: Based on the ratio being less than a first threshold, the cavity feature is identified as having the low wind noise level; and Based on the ratio being greater than or equal to the first threshold and less than the second threshold, the cavity feature is identified as having the medium wind noise level.

7. The evaluation method according to claim 6, wherein, The step of identifying the cavity feature as having one of at least three wind noise levels, based at least on the ratio of the volume to the length, includes: Based on the ratio being greater than or equal to the second threshold and the presence of at least one component model near the opening surface feature, the cavity feature is identified as having the low wind noise level; and Based on the ratio being greater than or equal to the second threshold and the absence of at least one component model near the opening surface feature, the cavity feature is identified as having the high wind noise level.

8. The evaluation method according to claim 1 or 2, wherein, The step of identifying the cavity feature as having at least one of three wind noise levels based on the main extension direction and the location includes: Based on the fact that the main extension direction includes multiple extension directions and the position is at least defined by the corner of the connecting glue model connected to the part model, the cavity feature is identified as a triangular prism cavity feature; Determine the volume of the triangular prism cavity feature; and Based on the volume of the triangular prism, the features of the triangular prism cavity are identified as having at least one of three wind noise levels.

9. The evaluation method according to claim 8, wherein, The steps for determining the volume of the triangular prism cavity feature include: In the finite element model corresponding to the vehicle simulation model, a plurality of finite element features corresponding to the triangular prism cavity feature are determined in the finite element model; To seal some of the finite element features that define the opening surface features among the plurality of finite element features, thereby forming a closed space; and The volume of the enclosed space is calculated based on the finite element method and used as the volume of the triangular prism cavity feature.

10. The evaluation method according to claim 9, wherein, The steps for determining multiple finite element features in the finite element model corresponding to the features of the triangular prism cavity include: Based on the maximum possible assembly tolerance of a portion of the adhesive corresponding to the corner of the adhesive model, the plurality of finite element features are determined, wherein the portion of adhesive connects the corner side of the glass sunroof furthest from the vehicle to the glass sunroof under the maximum possible assembly tolerance.

11. The evaluation method according to claim 8, wherein, Based on the volume of the triangular prism, the step of identifying the features of the triangular prism cavity as having at least one of three wind noise levels includes: Based on the fact that the volume of the triangular prism is less than the third threshold, the triangular prism cavity feature is identified as having the low wind noise level; Based on the fact that the volume of the triangular prism is greater than or equal to the third threshold and less than the fourth threshold, the triangular prism cavity feature is identified as having the medium wind noise level; and Based on the fact that the volume of the triangular prism is greater than or equal to the fourth threshold, the triangular prism cavity feature is identified as having the high wind noise level.

12. The evaluation method according to any one of claims 1 to 11, wherein, The steps for evaluating the component based on one of the at least three wind noise levels include: Based on the fact that one of the at least three wind noise levels is the low wind noise level, further assess whether the part needs installation space for installing the sealing component according to the wind noise target; Based on the fact that one of the at least three wind noise levels is the medium wind noise level, assess the installation space required for mounting the sealing component; and / or Based on the fact that one of the at least three wind noise levels is the high wind noise level, it is assessed that the part needs to be repositioned, its structure needs to be changed, it needs installation space for installing sealing components, and / or it needs sealing components.

13. An evaluation apparatus for parts related to the outer surface of a vehicle, comprising: processor; and A memory storing executable instructions, which, when executed, cause a processor to perform an evaluation method for parts related to the outer surface of a vehicle according to any one of claims 1 to 12.

14. A computer program product, wherein, An executable instruction capable of running on a processor, which, when executed by the processor, implements the evaluation method for parts related to the outer surface of a vehicle according to any one of claims 1 to 12.