Vehicle window abnormal sound determination method and device

Abstract

The invention discloses a vehicle window abnormal sound determination method and device, and the method comprises the steps: building a vehicle finite element model through a geometric model of a target vehicle door in cooperation with a body-in-white model, and carrying out the door closing collision simulation according to the vehicle finite element model, so as to obtain a first gap amount between a vehicle window guide rail model and a door body model, and according to the first gap amount and a preset first gap threshold value, whether the vehicle window abnormal sound risk exists in the target vehicle door or not is judged. Through door closing collision simulation, the variable quantity of the gap between the track and the door body serves as the basis of the constant vehicle door abnormal sound, the factor of the vehicle door abnormal sound caused by the unreasonable design of the vehicle window glass track is conveniently eliminated in the vehicle door design stage, more accurate vehicle window structure optimization is carried out aiming at the vehicle door abnormal sound risk, the vehicle door quality is improved, and the vehicle door quality is improved. And the vehicle comfort is improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a method and device for determining abnormal noise from a vehicle window. Background Art

[0002] Abnormal door noise reduces the comfort of vehicle use. Determining the risk of abnormal door noise during the vehicle design phase is an important process in vehicle production.

[0003] The car door itself is an assembly of a door body and a window. The structure of the window has a great influence on the abnormal noise of the door. In the existing general simulation analysis method, the stress and deformation at the contact point between the door and the car body when the door is closed are output by the simulation model to judge the risk of abnormal door noise. This method is not accurate enough in evaluating the abnormal door noise and it is difficult to avoid the influence of unreasonable window design on the abnormal door noise. Summary of the invention

[0004] The present application provides a method and device for determining abnormal window noise to solve the technical problem of inaccurate evaluation of abnormal door noise in the prior art, so as to evaluate the risk of abnormal window noise by analyzing the change in the interval between the window glass guide rail and the door body, so as to perform more accurate window structure optimization according to the risk of abnormal door noise.

[0005] In view of the above problems, the present application is proposed to provide a method and device for determining abnormal noise from vehicle windows that overcomes the above problems or at least partially solves the above problems.

[0006] First, a geometric model of a target door is established, and the geometric model of the target door includes a door body model and a window model;

[0007] Based on the geometric model of the target door, a finite element model of the target door is constructed; based on the finite element model of the target door and the preconfigured body-in-white model, a vehicle finite element model is constructed;

[0008] Based on the vehicle finite element model, a door closing collision simulation is performed to obtain the first gap between the window model and the door body model;

[0009] According to the first gap amount and a preset first gap threshold, it is determined whether there is a risk of abnormal window noise in the target door.

[0010] Optionally, perform door closing collision simulation based on the vehicle finite element model, including:

[0011] Based on the vehicle finite element model, a door closing collision simulation is performed with a set door opening angle and a set door closing speed; the set door opening angle includes a maximum door opening angle of a target door, and the set door closing speed includes a maximum door closing speed of the target door.

[0012] Optionally, the vehicle window model includes a vehicle window guide rail model and a vehicle window glass model; based on the vehicle finite element model, a door closing collision simulation is performed to obtain a first gap amount between the vehicle window model and the door body model, including:

[0013] Based on the vehicle finite element model, N door closing collision simulations are performed under the preset state of the window glass model, where N is a positive integer greater than or equal to 1; the preset states of the window glass model include: closed state, half-open state, and fully open state;

[0014] Based on each door closing collision simulation of N door closing collision simulations, a first displacement curve of the window guide rail model in the door closing collision simulation and a second displacement curve of the door body model in the door closing collision simulation are output, and a gap curve corresponding to the door closing collision simulation is determined according to the first displacement curve and the second displacement curve; the first displacement curve is a displacement curve of a first target point in a whole vehicle coordinate system of a vehicle finite element model, and the first target point is located in the window guide rail model; the second displacement curve is a displacement curve of a second target point in a whole vehicle coordinate system of a vehicle finite element model, and the second target point is located in the door body model and corresponds to the position of the first target point;

[0015] According to the gap curves of N door closing collision simulations, the minimum gap between the first target point and the second target point in the N door closing collision simulations is determined as the first gap amount.

[0016] Optionally, the method for determining abnormal window noise further includes:

[0017] Based on the finite element model of the target door, the window glass lifting and lowering simulation is performed on the window model at a set window glass moving speed to obtain a second gap between the window guide model and the window glass model;

[0018] Comparing the second gap amount with a preset second gap threshold;

[0019] If the second gap amount is greater than the second gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

[0020] Optionally, it is characterized in that the window guide rail model includes a window guide groove model and a window rubber strip model; obtaining the second gap amount between the window guide rail model and the window glass model includes:

[0021] Obtain compression curves of multiple target points of the window rubber strip model, where the multiple target points of the window rubber strip model have different positions;

[0022] According to the compression amount curves of the multiple target points of the vehicle window rubber strip model, the maximum compression amount of the multiple target points of the vehicle window rubber strip model is determined as the second gap amount.

[0023] Optionally, if it is determined that the target door has a risk of abnormal window noise, the structural parameters of the window guide rail model are modified according to the difference between the second gap amount and the second gap threshold. The structural parameters of the window guide rail model include: the height, width, stiffness, curvature, cross-sectional shape, material of the window guide rail, and the overlap between the window guide rail model and the window glass model.

[0024] Optionally, judging whether there is a risk of abnormal window noise in the target door according to the first gap amount and a preset first gap threshold includes:

[0025] The first gap amount is compared with the first gap threshold. If the first gap amount is smaller than the first gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

[0026] Optionally, the method further includes:

[0027] If it is determined that the target door has a risk of abnormal window noise, the structural parameters of the window guide rail model are modified according to the difference between the first gap amount and the first gap threshold. The structural parameters of the window guide rail model include: height, width, stiffness, curvature, cross-sectional shape, and material of the window guide rail model.

[0028] In a second aspect, a device for determining abnormal window noise is provided, comprising:

[0029] A geometric model building unit is used to build a geometric model of a target door, wherein the geometric model of the target door includes a door body model and a window model;

[0030] A finite element model building unit, used for building a finite element model of a target door based on a geometric model of the target door, and building a vehicle finite element model based on the finite element model of the target door and a preconfigured body-in-white model;

[0031] A door closing collision simulation unit, used to perform a door closing collision simulation based on a vehicle finite element model to obtain a first gap amount between a vehicle window model and a door body model;

[0032] The abnormal noise risk judgment unit is used to judge whether there is a risk of abnormal noise in the window of the target door according to the first gap amount and a preset first gap threshold.

[0033] Optionally, the vehicle window model includes a vehicle window guide rail model and a vehicle window glass model; and the device further includes:

[0034] A glass lifting simulation unit is used to simulate the lifting of the window glass on the window model based on the finite element model of the target door at a set window glass moving speed, and obtain a second gap between the window guide model and the window glass model;

[0035] The abnormal noise risk judgment unit is further used to compare the second gap amount with a preset second gap threshold value. If the second gap amount is greater than the second gap threshold value, it is determined that there is a risk of abnormal window noise in the target door.

[0036] In a third aspect, the present application also provides a server, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the server executes the method provided in the first aspect.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the computer executes the method provided in the first aspect.

[0038] In a fifth aspect, the present application also provides a computer program product, including a computer program, which, when executed by a computer, enables the computer to execute the method provided in the first aspect.

[0039] The technical solution provided by this application has at least the following technical effects or advantages:

[0040] The method and device for determining abnormal window noise provided by the present application use the geometric model of the target door and the body-in-white model to construct a vehicle finite element model, and perform a door closing collision simulation based on the vehicle finite element model to obtain the first gap amount between the window guide model and the door body model, and determine whether the target door has a risk of abnormal window noise based on the first gap amount and the preset first gap threshold. The present application uses the change in the gap between the track and the door body as the basis for the constant abnormal door noise through the door closing collision simulation, so as to eliminate the factors that cause abnormal door noise due to unreasonable design of the window glass track during the door design stage, and realize more accurate optimization of the window structure for the risk of abnormal door noise, improve the door quality, and thus improve the comfort of the vehicle.

[0041] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0043] Figure 1A schematic diagram of a common method for controlling vehicle window performance at present;

[0044] Figure 2 The process of the method for determining abnormal window noise in the embodiment of the present application is as follows Figure 1 ;

[0045] Figure 3 The process of the method for determining abnormal window noise in the embodiment of the present application is as follows Figure 2 ;

[0046] Figure 4 The process of the method for determining abnormal window noise in the embodiment of the present application is as follows Figure 3 ;

[0047] Figure 5 This is a flowchart of the method for determining abnormal window noise in the embodiment of the present application applied to the optimization of the window glass guide rail;

[0048] Figure 6 The wireframe of the device for determining abnormal window noise in the embodiment of the present application Figure 1 ;

[0049] Figure 7 The wireframe of the device for determining abnormal window noise in the embodiment of the present application Figure 2 ;

[0050] Figure 8 This is a wireframe diagram of the glass lifting simulation unit in the embodiment of the present application;

[0051] Fig. 9 This is a schematic diagram of a server in an embodiment of the present application. DETAILED DESCRIPTION

[0052] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings.

[0053] Various structural schematic diagrams according to embodiments of the present application are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may further design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0054] In order to better understand the above-mentioned technical scheme, the above-mentioned technical scheme will be described in detail below in combination with specific implementation methods. It should be understood that the embodiments of the present disclosure and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0055] Door noise reduces the comfort of vehicle use. Determining the risk of door noise during the vehicle design phase is an important process in vehicle production. The door itself is an assembly of the door body and the window. The structure of the window has a great influence on the door noise. In the existing general simulation analysis method, the force and deformation at the contact point between the door and the body when the door is closed are output by the simulation model to judge the risk of door noise. This method is not accurate enough in evaluating door noise and it is difficult to avoid the impact of unreasonable window design on door noise.

[0056] The current common method for controlling vehicle window performance is as follows: Figure 1 As shown in the figure, in the simulation analysis, load is applied to the installation point of the window glass rail, and the maximum deformation of the window glass rail is obtained through the stiffness of the installation point, and the deformation of the window glass rail is determined. At the same time, a certain amount of compensation is made on the rail mounting bracket for this deformation value. The door panel structure is optimized by controlling the compensation amount, and the rail performance is verified through the actual vehicle, and the design is reviewed to see if it is OK or modified. No matter how the door structure changes, the load value remains unchanged.

[0057] Different doors have different forms of window glass guides. For each form of window glass guide for each model, it is necessary to accumulate data from multiple actual force tests to form load experience values. Therefore, this method has poor reusability. If the load of the simulation analysis does not match the actual force, it may cause an unreasonable assessment of the impact of the window on the door noise, thereby affecting the performance of the door.

[0058] In view of this, this application provides a method for determining abnormal window noise, please refer to Figure 2 , Figure 2 The process of the method for determining abnormal window noise in the embodiment of the present application is as follows Figure 1 ,include:

[0059] S201, establishing a geometric model of a target door. The geometric model of the target door includes a door body model and a window model.

[0060] For example, the door structure and each system structure are designed according to the CAS input and the configuration table input, and the geometric model of the target door is established. The geometric model of the target door is a parameterized model. The configuration table includes configuration parameters such as glass weight, glass guide rail quantity, and glass guide rail direction. The window model includes a window glass guide rail model, a window glass model, etc., which are not limited here.

[0061] It can be understood that, based on the CAS input and configuration input, a geometric model of the target door is established, which only has an initial door structure definition, such as glass weight, glass guide form is single glass guide or double glass guide, door has frame or frameless, glass is straight up or straight down, etc. Before making a judgment on abnormal door noise, the door data, that is, the parameters of the geometric model of the target door are set, such as the structural parameters of the window glass guide model, including the height, width, stiffness, curvature, cross-sectional shape, material, etc. of the window glass guide model.

[0062] Exemplarily, in the geometric model of the target door, based on the definition of the performance requirements of the window glass guide rail, the stiffness of the window glass guide rail model, the overlap between the window glass guide rail model and the window glass model are set according to the structure and weight of the window glass model and preset requirements; the preset requirements include requirements for abnormal door noise and door closing sound quality.

[0063] S202: construct a finite element model of the target door based on the geometric model of the target door, and construct a vehicle finite element model based on the finite element model of the target door and a preconfigured body-in-white model.

[0064] For example, the geometric model file of the target door is converted and processed by using pre-processing software, and the finite element model of the target door is output. The finite element model of the target door is assembled with the pre-configured body-in-white model, and the vehicle finite element model is output.

[0065] It is understandable that the preconfigured body-in-white model may adopt an existing non-parametric body-in-white finite element model.

[0066] S203: Perform door closing collision simulation based on the vehicle finite element model to obtain a first gap between the vehicle window model and the door body model.

[0067] Exemplarily, an excitation is loaded on the vehicle finite element model, so that the door is closed from the maximum open position at the maximum speed, and the first gap value between the window model and the door body model is output, thereby verifying the deformation and stress conditions of the window model.

[0068] S204: Determine whether there is a risk of abnormal window noise at the target door according to the first gap amount and a preset first gap threshold.

[0069] Exemplarily, the first gap amount is compared with the first gap threshold, and if the first gap amount is smaller than the first gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

[0070] During the design phase of the target door, through the above operations, when it is determined that the target door has a risk of abnormal window noise according to the output analysis results, the structural parameters of the window model can be modified according to the difference between the first gap amount and the first gap threshold, specifically the structural parameters of the window glass guide model, such as the height, width, rigidity, curvature, cross-sectional shape, and material of the window glass guide model. Repeat the above operations S201 to S204 until it is determined that the target door does not have a risk of abnormal window noise, and the door data can be solidified.

[0071] To summarize, the method for determining abnormal window noise provided in the embodiment of the present application constructs a vehicle finite element model through the geometric model of the target door in cooperation with the body-in-white model, and performs a door closing collision simulation based on the vehicle finite element model to obtain a first gap amount between the window glass guide model and the door body model, and determines whether there is a risk of abnormal window noise for the target door based on the first gap amount and a preset first gap threshold.

[0072] This application uses door closing collision simulation and takes the change in the gap between the track and the door body as the basis for constant door noise. This makes it easier to eliminate factors that cause door noise due to unreasonable design of the window glass guide rail during the door design stage, thereby achieving more accurate window structure optimization based on the risk of door noise, improving door quality, and thus improving vehicle comfort.

[0073] It should be noted that in the above Figure 2 On the basis of the corresponding embodiment, based on the vehicle finite element model, a door closing collision simulation is performed, specifically including:

[0074] Based on the vehicle finite element model, a door closing collision simulation is performed with a set door opening angle and a set door closing speed; the set door opening angle includes a maximum door opening angle of a target door, and the set door closing speed includes a maximum door closing speed of the target door.

[0075] In this way, the deformation and stress of the glass rail can be verified by analyzing the door closing at the maximum speed from the maximum open position. It can quickly determine whether the door structure is reasonable and whether it can meet the door abnormal noise performance requirements, and quickly and effectively optimize and iterate the door structure, improve design efficiency, and reduce the risk of design problems.

[0076] In some optional embodiments, such as Figure 3 As shown, Figure 3 The process of the method for determining abnormal window noise in the embodiment of the present application is as follows Figure 2 , in the above Figure 2 On the basis of the corresponding embodiment, based on the vehicle finite element model, the operation of performing door closing collision simulation in S204 to obtain the first gap amount between the vehicle window model and the door body model specifically includes:

[0077] S301 . Based on the vehicle finite element model, perform N door closing collision simulations in a preset state of the vehicle window glass model.

[0078] N is a positive integer greater than or equal to 1; the preset states of the window glass model include: closed state, half-open state, and fully open state. For example, in each door closing collision simulation, an analysis is performed when the window glass is in the closed state, half-open state, or open state, and the door is closed from the maximum opening position at the maximum speed to verify the deformation and force conditions of the glass guide rail.

[0079] S302, based on each door closing collision simulation of N times, output the first displacement curve of the window glass guide model in the door closing collision simulation and the second displacement curve of the door body model in the door closing collision simulation, and determine the gap curve corresponding to the door closing collision simulation according to the first displacement curve and the second displacement curve.

[0080] The first displacement curve is the displacement curve of the first target point in the whole vehicle coordinate system of the vehicle finite element model. The first target point is located in the window glass guide model. The second displacement curve is the displacement curve of the second target point in the whole vehicle coordinate system of the vehicle finite element model. The second target point is located in the door body model and corresponds to the position of the first target point.

[0081] For example, the window glass guide model is connected to the door model through two side mounting parts. The lower end of the window glass guide model is close to the door model and is prone to collision with the door during the door opening and closing process. Therefore, the first target point is defined at the lower end of the window glass guide model, preferably the end point closest to the lower end of the door model. The second target point can be defined at the end point of the door model closest to the first target point.

[0082] S303 . Determine, according to the gap curves of N door closing collision simulations, the minimum gap between the first target point and the second target point in the N door closing collision simulations as a first gap amount.

[0083] The door body and the window glass guide rail of a car door usually have a standard gap value. During the door closing process, the door body and the window glass guide rail have a relative displacement, and the actual gap between the two will change. If the actual gap drops to less than the standard gap value during the door closing process, an abnormal noise will occur when closing the door. Therefore, from the gap curves under different window closing states (i.e., glass fully open, glass half open, glass fully closed) obtained from N door closing collision simulations, the minimum gap is taken as the first gap value.

[0084] In the operation of the above embodiment, multiple analysis conditions are used to predict and control the performance of the window glass guide rail, and multiple control indicators are proposed, so that the analysis results of the abnormal door noise performance are more accurate. The abnormal door noise can be well controlled in the data design stage. And this operation can be applied to different types of doors, with strong reusability.

[0085] In some optional embodiments, such as Figure 4 As shown, Figure 4 The process of the method for determining abnormal window noise in the embodiment of the present application is as follows Figure 3 The method for determining abnormal window noise provided in the embodiment of the present application further includes:

[0086] S401. Based on the finite element model of the target door, a window glass lifting and lowering simulation is performed on the window model at a set window glass moving speed to obtain a second gap between the window glass guide rail model and the window glass model.

[0087] S402: Compare the second gap amount with a preset second gap threshold.

[0088] S403: If the second gap amount is greater than the second gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

[0089] The operation of the above-mentioned embodiment can be used to analyze the movement state of the glass in the glass guide rail, verify the deformation and stress conditions of the glass guide rail, and further realize good control of abnormal door noise in the data design stage.

[0090] In some optional implementations, the vehicle window glass guide rail model includes a vehicle window guide groove model and a vehicle window rubber strip model; obtaining a second gap amount between the vehicle window glass guide rail model and the vehicle window glass model includes:

[0091] A compression curve of multiple target points of the vehicle window rubber strip model is obtained, and the multiple target points of the vehicle window rubber strip model have different positions.

[0092] According to the compression amount curves of the multiple target points of the vehicle window rubber strip model, the maximum compression amount of the multiple target points of the vehicle window rubber strip model is determined as the second gap amount.

[0093] The window rubber strip seals the gap between the window glass and the window track, and is usually made of a material with good elasticity and resistance to compression deformation, such as EPDM, which is not limited here. When the window glass is raised and lowered along the window track, the thickness of the window rubber strip changes with the gap between the glass and the track. When the deformation of the window rubber strip exceeds a preset value during the lifting of the glass along the track, abnormal door noise will occur.

[0094] In the above Figure 4On the basis of the corresponding embodiment, if it is determined that the target door has the risk of abnormal window noise, the structural parameters of the window glass guide rail model are modified according to the difference between the second gap amount and the second gap threshold.

[0095] The structural parameters of the window glass guide rail model include: the height, width, stiffness, curvature, cross-sectional shape, material of the window glass guide rail, and the overlap between the window glass guide rail model and the window glass model.

[0096] The above operation simulates the movement of the window glass model along the window glass guide rail model based on the finite element model of the target door, and outputs the compression curve of the window rubber strip model. According to the compression curve and the preset second gap threshold, it can be determined whether there is a risk of abnormal noise during the lifting and lowering of the window glass, so that the abnormal noise of the door can be well controlled in the data design stage.

[0097] The operations provided in the above embodiments can be applied to predict the performance of the door glass guide rail in the conceptual design stage. Figure 5 As shown, Figure 5 This is a flowchart of the method for determining abnormal window noise in an embodiment of the present application applied to the optimization of the window glass guide rail.

[0098] like Figure 5 As shown, the specific implementation process of the vehicle window abnormal noise determination method provided in the embodiment of the present application for optimizing the vehicle window glass guide rail is as follows:

[0099] Step 1: Design the door structure and system structure based on CAS and configuration table input.

[0100] Step 2: Based on the glass structure and weight, set the glass guide performance requirements to meet the requirements of abnormal door noise and closing sound quality.

[0101] Step 3: Decompose the performance requirements of the glass rail, including the rigidity of the glass rail and the overlap between the guide groove and the glass. Determine the draft trajectory of the glass rail according to the trajectory of the glass lifting and lowering, determine the stress of the glass rail according to the glass weight and the maximum closing speed, and determine the overlap between the guide groove and the glass according to the stress of the glass rail.

[0102] Step 4: Analyze the door closing from the maximum open position at the maximum speed to verify the deformation and stress conditions of the glass guide rail. This analysis requires dividing the glass into closed, half-open and open states.

[0103] Step 5: Analyze the movement of the glass in the glass guide rail and verify the deformation and stress conditions of the glass guide rail.

[0104] The sixth step is to compare the deformation and stress values ​​obtained in the fourth and fifth steps with the existing target system. If the requirements are not met, it is necessary to return to the first step and optimize the door structure.

[0105] Step 7. If the requirements are met in step 6, the larger value of the deformation calculated in steps 4 and 5 is taken to design the door structure compensation to ensure that there is no abnormal noise in the door of the actual vehicle.

[0106] The method for determining abnormal window noise provided in the embodiment of the present application, when applied to the optimization of the window glass guide rail, can control and optimize the door sealing performance in advance during the design stage, effectively reduce the abnormal door noise caused by the guide rail deformation, and improve the comfort of the driver and passengers. Multiple analysis conditions are implemented to predict and control the performance of the glass guide rail, and multiple control indicators are proposed, so that the analysis results of the abnormal door noise performance are more accurate. The abnormal door noise can be well controlled during the data design stage. It can be applied to different types of doors and has strong reusability.

[0107] To sum up, the embodiments of the present application provide a method for determining abnormal noise from vehicle windows, which can be applied to controlling the performance of vehicle door glass guide rails to reduce abnormal noise from vehicle doors, quickly determine whether the vehicle door structure is reasonable and whether it can meet the requirements for abnormal noise performance from vehicle doors, quickly and effectively optimize and iterate the vehicle door structure, improve design efficiency, and reduce the risk of design problems.

[0108] In a second aspect, a device for determining abnormal window noise is provided, such as Figure 6 As shown, Figure 6 The wireframe of the device for determining abnormal window noise in the embodiment of the present application Figure 1 .

[0109] The vehicle window abnormal noise determining device 600 comprises:

[0110] The geometric model building unit 601 is used to build the geometric model of the target door. The geometric model of the target door includes a door body model and a window model. Exemplarily, the door structure and each system structure are designed according to the CAS input and the configuration table input, and the geometric model of the target door is built. The geometric model of the target door is a parameterized model. The configuration table includes configuration parameters such as glass weight, glass rail number, and glass rail direction. The window model includes a window glass rail model, a window glass model, etc., which are not limited here.

[0111] It can be understood that the geometric model building unit 601 is also used to set the door data, that is, the parameters of the geometric model of the target door, such as the structural parameters of the window glass guide rail model, including the height, width, stiffness, curvature, cross-sectional shape, material, etc. of the window glass guide rail model.

[0112] The geometric model building unit 601 is also used to set the stiffness of the window glass guide rail model, the overlap between the window glass guide rail model and the window glass model in the geometric model of the target door based on the definition of the performance requirements of the window glass guide rail, according to the structure and weight of the window glass model, and preset requirements; the preset requirements include requirements for abnormal door noise and door closing sound quality.

[0113] The finite element model building unit 602 is used to build a finite element model of the target door based on the geometric model of the target door, and to build a vehicle finite element model based on the finite element model of the target door and a preconfigured body-in-white model.

[0114] The door closing collision simulation unit 603 is used to perform a door closing collision simulation based on the vehicle finite element model to obtain a first gap amount between the vehicle window model and the door body model.

[0115] Exemplarily, the door closing collision simulation unit 603 is used to load excitation on the vehicle finite element model, so that the door is closed from the maximum open position at the maximum speed, and the first gap value between the window model and the door body model is output, thereby verifying the deformation and stress conditions of the window model.

[0116] The abnormal noise risk judgment unit 604 is used to judge whether there is a risk of abnormal noise in the window of the target door according to the first gap amount and a preset first gap threshold.

[0117] Exemplarily, the abnormal noise risk judgment unit 604 is used to compare the first gap amount with the first gap threshold, and if the first gap amount is smaller than the first gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

[0118] The window glass guide rail can absorb the vibration of the window glass when driving and closing the door. It also has the functions of beautifying the appearance, reducing the height difference between the window glass and the door outer panel, and reducing air resistance. Therefore, the window glass guide rail directly affects the comfort of the driver and passengers, and the performance of the glass guide rail is crucial to the overall performance of the door system.

[0119] During the design stage of the target door, when it is determined that the target door has a risk of abnormal window noise based on the analysis results output by the above door closing collision simulation unit 603, the structural parameters of the window model can be modified based on the difference between the first gap amount and the first gap threshold, specifically the structural parameters of the window glass guide rail model, such as the height, width, stiffness, curvature, cross-sectional shape, and material of the window glass guide rail model.

[0120] In some optional embodiments, in the above Figure 6 On the basis of the corresponding embodiment, the door closing collision simulation unit 603 is specifically used to: perform N door closing collision simulations based on the vehicle finite element model and under the preset state of the vehicle window glass model.

[0121] N is a positive integer greater than or equal to 1; the preset states of the window glass model include: closed state, half-open state, and fully open state. For example, in each door closing collision simulation, an analysis is performed when the window glass is in the closed state, half-open state, or open state, and the door is closed from the maximum opening position at the maximum speed to verify the deformation and force conditions of the glass guide rail, so as to quantify the deformation of the window.

[0122] Based on each door closing collision simulation of N door closing collision simulations, a first displacement curve of the window glass guide rail model in the door closing collision simulation and a second displacement curve of the door body model in the door closing collision simulation are output, and a gap curve corresponding to the door closing collision simulation is determined based on the first displacement curve and the second displacement curve.

[0123] The first displacement curve is the displacement curve of the first target point in the whole vehicle coordinate system of the vehicle finite element model. The first target point is located in the window glass guide model. The second displacement curve is the displacement curve of the second target point in the whole vehicle coordinate system of the vehicle finite element model. The second target point is located in the door body model and corresponds to the position of the first target point.

[0124] For example, the window glass guide model is connected to the door model through two side mounting parts. The lower end of the window glass guide model is close to the door model and is prone to collision with the door during the door opening and closing process. Therefore, the first target point is defined at the lower end of the window glass guide model, preferably the end point closest to the lower end of the door model. The second target point can be defined at the end point of the door model closest to the first target point.

[0125] According to the gap curves of N door closing collision simulations, the minimum gap between the first target point and the second target point in the N door closing collision simulations is determined as the first gap amount.

[0126] The door body and the window glass guide rail of a car door usually have a standard gap value. During the door closing process, the door body and the window glass guide rail have a relative displacement, and the actual gap between the two will change. If the actual gap drops to less than the standard gap value during the door closing process, an abnormal noise will occur when closing the door. Therefore, from the gap curves under different window closing states (i.e., glass fully open, glass half open, glass fully closed) obtained from N door closing collision simulations, the minimum gap is taken as the first gap value.

[0127] The device of the above embodiment can be used to predict and control the performance of the window glass guide rail under multiple working conditions, and propose multiple control indicators, so that the performance analysis results of the abnormal door noise are more accurate. The abnormal door noise can be well controlled in the data design stage.

[0128] In some optional implementations, the vehicle window model includes a vehicle window glass guide rail model and a vehicle window glass model; Figure 7 As shown, Figure 7 The wireframe of the device for determining abnormal window noise in the embodiment of the present application Figure 2 The vehicle window abnormal noise determining device 600 further includes:

[0129] The glass lifting simulation unit 701 is specifically used to perform a window lifting simulation on the window model based on the finite element model of the target door at a set window glass moving speed to obtain a second gap between the window glass guide model and the window glass model.

[0130] The abnormal noise risk judgment unit 604 is further used to compare the second gap amount with a preset second gap threshold, and if the second gap amount is greater than the second gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

[0131] The glass lifting simulation unit 701 analyzes the movement state of the glass in the glass guide rail, and the abnormal noise risk judgment unit 604 verifies the deformation and stress conditions of the glass guide rail, so as to further realize the control of abnormal door noise in the data design stage.

[0132] In some optional implementations, the window glass guide rail model includes a window guide groove model and a window rubber strip model; the glass lifting simulation unit 701 specifically includes:

[0133] The compression curve determining unit 801 is used to obtain compression curves of multiple target points of the vehicle window rubber strip model, where the multiple target points of the vehicle window rubber strip model have different positions.

[0134] The maximum compression amount determining unit 802 determines the maximum compression amount of the multiple target points of the vehicle window rubber strip model according to the compression amount curves of the multiple target points of the vehicle window rubber strip model as the second gap amount.

[0135] The window rubber strip seals the gap between the window glass and the window track, and is usually made of a material with good elasticity and resistance to compression deformation, such as EPDM, which is not limited here. When the window glass is raised and lowered along the window track, the thickness of the window rubber strip changes with the gap between the glass and the track. When the deformation of the window rubber strip exceeds a preset value during the lifting of the glass along the track, abnormal door noise will occur.

[0136] In the above Figure 8 On the basis of the corresponding embodiment, if the abnormal noise risk judgment unit 604 determines that there is a risk of abnormal window noise in the target door, the result is output, and the operator can modify the structural parameters of the window glass guide rail model according to the difference between the second gap amount and the second gap threshold.

[0137] The structural parameters of the window glass guide rail model include: the height, width, stiffness, curvature, cross-sectional shape, material of the window glass guide rail, and the overlap between the window glass guide rail model and the window glass model.

[0138] The above-mentioned vehicle window abnormal noise determination device 600 is used to implement a finite element model based on the target vehicle door, simulate the movement of the vehicle window glass model along the vehicle window glass guide rail model, and output the compression curve of the vehicle window rubber strip model. According to the compression curve and the preset second gap threshold, it can be determined whether there is a risk of abnormal noise during the lifting and lowering of the vehicle window glass, so that the vehicle door abnormal noise can be well controlled in the data design stage.

[0139] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a computer, the computer executes the method provided in the above embodiment.

[0140] The present application also provides a server, such as Fig. 9 As shown, the server 900 includes a memory 901, a processor 902, and a computer program 903 stored in the memory 901 and executable on the processor 902. When the processor 902 executes the computer program 903, the server 900 executes the method provided in the above embodiment.

[0141] The embodiments of the present application also provide a computer program product, including a computer program. When the computer program is executed, the computer executes the method provided in the above embodiments.

[0142] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0144] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

Claims

1. A method for determining abnormal window noise, characterized in that: include: Establishing a geometric model of a target door, wherein the geometric model of the target door includes a door body model and a window model; Based on the geometric model of the target door, a finite element model of the target door is constructed, and based on the finite element model of the target door and a preconfigured body-in-white model, a vehicle finite element model is constructed; Based on the vehicle finite element model, a door closing collision simulation is performed to obtain a first gap amount between the vehicle window model and the door body model; It is determined whether there is a risk of abnormal window noise at the target door according to the first gap amount and a preset first gap threshold.

2. The method for determining abnormal window noise according to claim 1, characterized in that: The door closing collision simulation based on the vehicle finite element model includes: Based on the vehicle finite element model, the door closing collision simulation is performed with a set door opening angle and a set door closing speed; the set door opening angle includes a maximum door opening angle of the target door, and the set door closing speed includes a maximum door closing speed of the target door.

3. The method for determining abnormal window noise according to claim 1, characterized in that: The vehicle window model includes a vehicle window guide rail model and a vehicle window glass model; the door closing collision simulation is performed based on the vehicle finite element model to obtain a first gap between the vehicle window model and the door body model, including: Based on the vehicle finite element model, N door closing collision simulations are performed in the preset state of the vehicle window glass model, where N is a positive integer greater than or equal to 1; the preset state of the vehicle window glass model includes: closed state, half-open state, and fully open state; Based on each door closing collision simulation of the N door closing collision simulations, a first displacement curve of the window guide rail model in the door closing collision simulation and a second displacement curve of the door body model in the door closing collision simulation are output, and a gap curve corresponding to the door closing collision simulation is determined according to the first displacement curve and the second displacement curve; the first displacement curve is a displacement curve of a first target point in a whole vehicle coordinate system of the vehicle finite element model, and the first target point is located in the window guide rail model; the second displacement curve is a displacement curve of a second target point in a whole vehicle coordinate system of the vehicle finite element model, and the second target point is located in the door body model and corresponds to the position of the first target point; According to the gap curves of the N door closing collision simulations, a minimum gap between the first target point and the second target point in the N door closing collision simulations is determined as the first gap amount.

4. The method for determining abnormal window noise according to claim 3, characterized in that: The vehicle window abnormal noise determination method further includes: Based on the finite element model of the target door, performing a window glass lifting and lowering simulation on the window model at a set window glass moving speed to obtain a second gap between the window guide model and the window glass model; Comparing the second gap amount with a preset second gap threshold; If the second gap amount is greater than the second gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

5. The method for determining abnormal window noise according to claim 4, characterized in that: The vehicle window guide rail model includes a vehicle window guide groove model and a vehicle window rubber strip model; the step of obtaining a second gap between the vehicle window guide rail model and the vehicle window glass model includes: Obtaining compression curves of multiple target points of the vehicle window rubber strip model, where the multiple target points of the vehicle window rubber strip model have different positions; According to the compression amount curves of the multiple target points of the vehicle window rubber strip model, the maximum compression amount of the multiple target points of the vehicle window rubber strip model is determined as the second gap amount.

6. The method for determining abnormal window noise according to claim 4, characterized in that: If it is determined that the target door has a risk of abnormal window noise, the structural parameters of the window guide rail model are modified according to the difference between the second gap amount and the second gap threshold. The structural parameters of the window guide rail model include: the height, width, stiffness, curvature, cross-sectional shape, material of the window guide rail, and the overlap between the window guide rail model and the window glass model.

7. The method for determining abnormal window noise according to claim 1, characterized in that: The determining, according to the first gap amount and a preset first gap threshold, whether the target door has a window noise risk includes: The first gap amount is compared with the first gap threshold, and if the first gap amount is smaller than the first gap threshold, it is determined that there is a risk of abnormal window noise in the target door.

8. The method for determining abnormal window noise according to claim 7, characterized in that: Also includes: If it is determined that the target door has a risk of abnormal window noise, the structural parameters of the window guide rail model are modified according to the difference between the first gap amount and the first gap threshold, and the structural parameters of the window guide rail model include: height, width, stiffness, curvature, cross-sectional shape, and material of the window guide rail model.

9. A device for determining abnormal window noise, characterized in that: Applied to a server, the server is pre-configured with a geometric model of a target door and a body-in-white model, the geometric model of the target door includes a door body model and a window model, and the device includes: A finite element model building unit, configured to build a finite element model of the target door based on the geometric model of the target door, and to build a vehicle finite element model based on the finite element model of the target door and the body-in-white model; A door closing collision simulation unit, used for performing a door closing collision simulation based on the vehicle finite element model to obtain a first gap amount between the vehicle window model and the door body model; The abnormal noise risk judgment unit is used to judge whether there is a risk of abnormal window noise in the target door according to the first gap amount and a preset first gap threshold.

10. The vehicle window abnormal noise determination device according to claim 9, characterized in that: The vehicle window model includes a vehicle window guide rail model and a vehicle window glass model; the device also includes: A glass lifting simulation unit, configured to perform a window glass lifting simulation on the window model based on the finite element model of the target door at a set window glass moving speed, and obtain a second gap between the window guide model and the window glass model; The abnormal noise risk judgment unit is further used to compare the second gap amount with a preset second gap threshold, and if the second gap amount is greater than the second gap threshold, it is determined that there is a risk of abnormal noise in the window of the target door.

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