Smoothness performance analysis method, device, equipment and storage medium for vehicle sliding door
By acquiring and configuring the structural model of the vehicle sliding door and analyzing it under actual working conditions, the problem of the inability to effectively analyze the smoothness performance of the sliding door in the prior art is solved, and the accurate evaluation and analysis of the smoothness performance of the sliding door is achieved.
Patent Information
- Application Number
- CN202210577885.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-05-25
- Publication Date
- 2025-06-06
- Estimated Expiration
- 2042-05-25
AI Technical Summary
The prior art cannot effectively analyze the smooth performance of vehicle sliding doors, resulting in the inability to accurately evaluate its smooth performance.
By obtaining the initial structural model of the target sliding door, obtaining its component information and configuring the configuration process, the target structural model is obtained; obtaining the operating condition information of the sliding door, controlling the operation of the structural model based on these information, and performing smooth performance analysis.
It improves the accuracy of the structural model, ensures the accuracy of smooth performance analysis, can analyze based on actual working conditions, and improves the accurate evaluation of smooth performance of sliding doors.
Smart Images

Figure CN115146374B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of automobile technology, and in particular to a method, device, equipment and storage medium for analyzing the smoothness performance of a vehicle sliding door. Background Art
[0002] With the development of science and technology and the progress of society, cars have gradually become popular in people's daily life and work, so people's requirements for cars are getting higher and higher. Vehicle sliding doors are widely used in commercial vehicles and buses due to their advantages such as small space occupied by opening and closing doors and convenient use. The performance of sliding doors directly affects the user experience of the car. At present, in the performance analysis of vehicle sliding doors, only the rigidity performance of vehicle sliding doors is analyzed, and the smoothness performance of vehicle sliding doors is not effectively analyzed, resulting in the inability to accurately evaluate the smoothness performance of sliding doors.
[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention
[0004] The main purpose of the present invention is to provide a method, device, equipment and storage medium for analyzing the smoothness performance of a vehicle sliding door, aiming to solve the technical problem that the prior art cannot effectively analyze the smoothness performance of a vehicle sliding door, resulting in the inability to accurately evaluate the smoothness performance of the sliding door.
[0005] To achieve the above object, the present invention provides a method for analyzing the smoothness performance of a vehicle sliding door, the method comprising the following steps:
[0006] Obtaining an initial structural model corresponding to the target sliding door;
[0007] Acquire component information of the initial structural model, and perform configuration processing on each component in the initial structural model according to the component information to obtain a target structural model;
[0008] Obtaining operating condition information corresponding to the target sliding door;
[0009] The operation of the target structure model is controlled based on the operating condition information, and a smooth performance analysis is performed on the target structure model during the operation.
[0010] Optionally, the acquiring component information of the initial structural model and performing configuration processing on each component in the initial structural model according to the component information to obtain the target structural model includes:
[0011] Acquiring component information of the initial structural model;
[0012] Performing geometric processing on each component in the initial structural model according to the component information;
[0013] Determine the mesh type and mesh size of each component according to the component information;
[0014] Performing mesh processing on each component after geometric processing according to the mesh type and mesh size;
[0015] The components after mesh processing are configured according to the component information to obtain a target structural model.
[0016] Optionally, performing configuration processing on each mesh-processed component according to the component information to obtain a target structural model includes:
[0017] Determine material information of each component according to the component information;
[0018] Assigning attributes to each mesh-processed component according to the material information;
[0019] Determine connection information of each component according to the component information;
[0020] Performing connection processing on each component after being assigned attributes according to the connection information;
[0021] The components after connection processing are configured according to the component information to obtain a target structure model.
[0022] Optionally, performing configuration processing on each component after connection processing according to the component information to obtain a target structure model includes:
[0023] Determine the center of mass information and counterweight information of each component according to the component information;
[0024] Performing weight balancing on each component after connection processing according to the center of mass information and the weight balancing information;
[0025] The components after the weight processing are configured according to the component information to obtain the target structure model.
[0026] Optionally, performing configuration processing on each component after the weight processing according to the component information to obtain a target structure model includes:
[0027] Determine hierarchical information of each component according to the component information;
[0028] Performing constraint processing on each component after weight processing according to the hierarchical information;
[0029] The force information of each component is determined according to the component information, and force is applied to each component after constraint processing according to the force information to obtain a target structural model.
[0030] Optionally, controlling the target structure model to run based on the operating condition information and performing a smooth performance analysis on the target structure model during the running process includes:
[0031] Controlling the operation of the target structure model based on the operation condition information, and collecting model operation information of the target structure model during the operation;
[0032] Acquiring the gantry operation information of the target sliding door;
[0033] Benchmarking the model operation information with the bench operation information;
[0034] Judging whether the target structure model meets the preset conditions according to the benchmarking results;
[0035] If satisfied, then a smooth performance analysis is performed on the target structural model during operation;
[0036] If not, the step of returning to the step of obtaining the component information of the initial structural model, and configuring each component in the initial structural model according to the component information to obtain the target structural model.
[0037] Optionally, after controlling the target structure model to run based on the operating condition information and performing a smooth performance analysis on the target structure model during the running process, the method further includes:
[0038] Determining, according to the operating condition information, a performance weight corresponding to each operating condition analysis result in the smooth performance analysis result;
[0039] Sorting the operating condition performance of each operating condition analysis result according to the performance weight;
[0040] The smoothness performance of the target sliding door is evaluated according to the operating condition performance ranking results.
[0041] In addition, to achieve the above-mentioned purpose, the present invention further provides a smoothness performance analysis device for a vehicle sliding door, the smoothness performance analysis device for a vehicle sliding door comprising:
[0042] A model acquisition module, used to acquire an initial structural model corresponding to a target sliding door;
[0043] A configuration processing module, used for acquiring component information of the initial structural model, and performing configuration processing on each component in the initial structural model according to the component information to obtain a target structural model;
[0044] A working condition acquisition module, used to acquire the operating condition information corresponding to the target sliding door;
[0045] A performance analysis module is used to control the operation of the target structure model based on the operating condition information and perform a smooth performance analysis on the target structure model during operation.
[0046] In addition, to achieve the above-mentioned purpose, the present invention also proposes a smooth performance analysis device for a vehicle sliding door, the smooth performance analysis device for a vehicle sliding door comprising: a memory, a processor, and a smooth performance analysis program for a vehicle sliding door stored in the memory and executable on the processor, the smooth performance analysis program for a vehicle sliding door being configured to implement the steps of the smooth performance analysis method for a vehicle sliding door as described above.
[0047] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a smoothness performance analysis program for a vehicle sliding door is stored. When the smoothness performance analysis program for a vehicle sliding door is executed by a processor, the steps of the smoothness performance analysis method for a vehicle sliding door as described above are implemented.
[0048] The present invention obtains an initial structural model corresponding to a target sliding door, obtains component information of the initial structural model, configures and processes each component in the initial structural model according to the component information to obtain a target structural model, obtains operating condition information corresponding to the target sliding door, controls the operation of the target structural model based on the operating condition information, and performs a smooth performance analysis on the target structural model during operation; because the present invention obtains an initial structural model corresponding to a target sliding door, configures and processes each component in the initial structural model according to the component information of the initial structural model to obtain a target structural model, thereby achieving preprocessing of the structural model, improving the accuracy of the structural model of the target sliding door, ensuring the accuracy of the smooth performance analysis, obtaining the operating condition information corresponding to the target sliding door, controlling the operation of the target structural model based on the operating condition information, and performing a smooth performance analysis on the target structural model during operation, thereby achieving analysis based on the actual operating condition scenario of the target sliding door, and effectively improving the accuracy of the smooth performance analysis of the target sliding door. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 It is a structural schematic diagram of a vehicle sliding door smoothness performance analysis device in a hardware operating environment involved in an embodiment of the present invention;
[0050] Figure 2 It is a flow chart of a first embodiment of a method for analyzing the smoothness performance of a vehicle sliding door according to the present invention;
[0051] Figure 3 It is a flow chart of a second embodiment of a method for analyzing the smoothness performance of a vehicle sliding door according to the present invention;
[0052] Figure 4 It is a flow chart of a third embodiment of a method for analyzing the smoothness performance of a vehicle sliding door according to the present invention;
[0053] Figure 5 It is a structural block diagram of the first embodiment of the vehicle sliding door smoothness performance analysis device of the present invention.
[0054] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0055] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.
[0056] Reference Figure 1 , Figure 1 It is a schematic diagram of the structure of a vehicle sliding door smoothness performance analysis device in the hardware operating environment involved in the embodiment of the present invention.
[0057] like Figure 1 As shown, the smoothness performance analysis device of the vehicle sliding door may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.
[0058] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the smooth performance analysis device for a vehicle sliding door, and may include more or less components than those shown in the figure, or combine certain components, or arrange the components differently.
[0059] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a smooth performance analysis program for a vehicle sliding door.
[0060] exist Figure 1 In the smoothness performance analysis device for a vehicle sliding door shown, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the smoothness performance analysis device for a vehicle sliding door of the present invention can be arranged in the smoothness performance analysis device for a vehicle sliding door, and the smoothness performance analysis device for a vehicle sliding door calls the smoothness performance analysis program for a vehicle sliding door stored in the memory 1005 through the processor 1001, and executes the smoothness performance analysis method for a vehicle sliding door provided in an embodiment of the present invention.
[0061] The embodiment of the present invention provides a method for analyzing the smoothness performance of a vehicle sliding door. Figure 2 , Figure 2 The figure is a flow chart of a first embodiment of a method for analyzing the smoothness performance of a vehicle sliding door according to the present invention.
[0062] In this embodiment, the method for analyzing the smoothness performance of a vehicle sliding door comprises the following steps:
[0063] Step S10: Obtaining an initial structural model corresponding to the target sliding door.
[0064] It should be noted that, when the present embodiment is applied to the need to perform a smooth performance analysis on the sliding door of a vehicle, an initial structural model corresponding to the target sliding door is obtained, and each component in the initial structural model is configured and processed according to the component information of the initial structural model to obtain the target structural model, thereby achieving preprocessing of the structural model, improving the accuracy of the structural model of the target sliding door, ensuring the accuracy of the smooth performance analysis, obtaining the operating condition information corresponding to the target sliding door, controlling the operation of the target structural model based on the operating condition information, and performing a smooth performance analysis on the target structural model during operation, thereby achieving analysis based on the actual operating condition scenario of the target sliding door, and effectively improving the accuracy of the smooth performance analysis of the target sliding door.
[0065] Compared with the prior art which can only manually analyze the smoothness performance of a vehicle sliding door test bench, this embodiment obtains the initial structural model corresponding to the target sliding door, configures and processes each component in the initial structural model according to the component information of the initial structural model, and obtains the target structural model, thereby achieving preprocessing of the structural model and improving the accuracy of the structural model of the target sliding door.
[0066] It should be understood that the executor of the method of this embodiment can be a smoothness performance analysis device for a vehicle sliding door with data processing, network communication and program running functions, such as a computer, etc., or other devices or equipment that can achieve the same or similar functions. The above-mentioned smoothness performance analysis device for a vehicle sliding door (hereinafter referred to as the performance analysis device) is taken as an example for explanation here.
[0067] It should be noted that the initial structural model may be an assembly structural model of the target sliding door, for example, the initial structural model may be an assembly CAD model of the target sliding door.
[0068] Step S20: Obtain component information of the initial structural model, and perform configuration processing on each component in the initial structural model according to the component information to obtain a target structural model.
[0069] It should be noted that the component information may be the structural information of each component in the initial structural model, for example, the component information may include the structural information of the sliding door body, the structural information of the wheel arm, the structural information of the guide rail and the structural information of the wheel. The above components may be the various parts or components in the target sliding door, for example, the components may include the sliding door body, the wheel arm, the guide rail and the wheel. The above target structural model may be the structural model obtained after the initial structural model is configured. Compared with the initial structural model, the target structural model is more consistent with the actual structure of the target sliding door, so the target structural model obtained after the configuration processing improves the accuracy of the structural model.
[0070] The above-mentioned configuration processing can be a pre-processing of each component in the initial structural model based on the component information of the initial structural model to improve the accuracy of the structural model of the target sliding door. For example, the configuration processing may include: geometry processing, mesh processing, connection processing, attribute assignment, counterweight processing, constraint processing and force application processing.
[0071] It should be understood that the performance analysis equipment obtains the component information of the initial structural model, performs geometric processing on each component in the initial structural model according to the component information, performs mesh processing on each component after geometric cleaning, assigns material properties to each component after mesh processing, sets connection relationships for each component after the material properties are assigned to achieve connection processing of each component, performs weight processing on each component after the connection processing, establishes a constraint layer for each component after the weight processing according to the hierarchical information of each component, moves the mesh near the guide rail bolt mounting hole into the constraint layer, assigns rigid material properties to achieve constraint processing of each component, applies force to each component after the constraint processing according to the force information of each component, so as to achieve force application processing of each component, thereby obtaining the target structural model, improving the accuracy of the structural model of the target sliding door, and ensuring the accuracy of the smooth performance analysis.
[0072] Step S30: Acquire the operating condition information corresponding to the target sliding door.
[0073] It should be noted that the operating condition information may be information about various operating conditions of the target sliding door in actual operation. For example, the operating condition information may include: no-load door opening condition information, no-load door closing condition information, full-load door opening condition information, and full-load door closing condition information.
[0074] Step S40: controlling the operation of the target structure model based on the operating condition information, and performing a smooth performance analysis on the target structure model during operation.
[0075] It should be understood that the performance analysis device of this embodiment controls the operation of the target structure model based on the operating condition information to simulate the operating state of the target sliding door in the actual operating condition, thereby ensuring that the operating process of the target structure model is consistent with the actual operating process of the target sliding door, and performing smooth performance analysis on the target structure model during the operation process, thereby ensuring the accuracy of the smooth performance analysis, and ensuring that the smooth performance analysis of the operating process of the target structure model is consistent with the smooth performance of the actual operating process of the target sliding door, so that the smooth performance of the target sliding door can be accurately obtained.
[0076] Furthermore, in order to accurately evaluate the smoothness performance of the target sliding door, after the above step S40, the following steps may be included:
[0077] Determining, according to the operating condition information, a performance weight corresponding to each operating condition analysis result in the smooth performance analysis result;
[0078] Sorting the operating condition performance of each operating condition analysis result according to the performance weight;
[0079] The smoothness performance of the target sliding door is evaluated according to the operating condition performance ranking results.
[0080] It should be noted that the performance weight may be the order of importance of the performance indicators of the target sliding door under various operating conditions in the operating condition information. For example, the order of importance of the performance indicators under various operating conditions may be no-load door opening condition > no-load door closing condition > full-load door opening condition > full-load door closing condition.
[0081] It should be understood that in order to accurately evaluate the smooth performance of the target sliding door, the performance analysis device of this embodiment determines the center of mass acceleration, the sliding door acceleration and the sliding door displacement distance of the target structure model according to the operating condition information, draws the center of mass acceleration curve, the sliding door acceleration curve and the sliding door displacement distance curve according to the center of mass acceleration, determines the performance weight corresponding to each operating condition analysis result in the smooth performance analysis result according to the operating condition information, and performs operating condition performance ranking on each operating condition analysis result according to the performance weight. A sequence is provided, and the smoothness performance of the target sliding door is evaluated according to the operating condition performance ranking result, and the center of mass acceleration curves under the four operating conditions of no-load door opening, no-load door closing, full-load door opening and full-load door closing are obtained. If the center of mass acceleration curves under the above four operating conditions have no sudden changes or glitches, the smoothness performance of the sliding door meets the evaluation requirements; if the center of mass acceleration curves under the above four operating conditions have sudden changes or glitches, it is determined that the smoothness performance of the sliding door does not meet the evaluation requirements, and the guide rail inclination angle of the sliding door, the angle of the middle guide rail, etc. need to be optimized.
[0082] This embodiment obtains the target structural model by obtaining the initial structural model corresponding to the target sliding door, obtains the component information of the initial structural model, and configures and processes the components in the initial structural model according to the component information to obtain the target structural model, obtains the operating condition information corresponding to the target sliding door, controls the operation of the target structural model based on the operating condition information, and performs a smooth performance analysis on the target structural model during operation; because the present invention obtains the target structural model by obtaining the initial structural model corresponding to the target sliding door, configures and processes the components in the initial structural model according to the component information of the initial structural model to obtain the target structural model, thereby achieving preprocessing of the structural model, improving the accuracy of the structural model of the target sliding door, ensuring the accuracy of the smooth performance analysis, obtaining the operating condition information corresponding to the target sliding door, controlling the operation of the target structural model based on the operating condition information, and performing a smooth performance analysis on the target structural model during operation, thereby achieving analysis based on the actual operating condition scenario of the target sliding door, and effectively improving the accuracy of the smooth performance analysis of the target sliding door.
[0083] refer to Figure 3 , Figure 3 The figure is a flow chart of a second embodiment of a method for analyzing the smoothness performance of a vehicle sliding door according to the present invention.
[0084] Based on the above first embodiment, in this embodiment, step S20 includes:
[0085] Step S201: obtaining component information of the initial structural model;
[0086] Step S202: performing geometric processing on each component in the initial structural model according to the component information;
[0087] Step S203: determining the mesh type and mesh size of each component according to the component information;
[0088] Step S204: performing mesh processing on each component after geometric processing according to the mesh type and mesh size;
[0089] Step S205: performing configuration processing on each mesh-processed component according to the component information to obtain a target structure model.
[0090] It should be noted that the geometry processing may include geometry repair, geometry cleaning, geometry simplification and other geometry processing methods. The above-mentioned mesh processing may be to divide the components in the initial structural model into meshes, and the above-mentioned mesh type may be the mesh dimension type of the components, for example, the sliding door body sheet metal is divided into 2D meshes, and the wheel arm and the wheel are divided into 3D meshes. The above-mentioned mesh size may be the size of the mesh for dividing the components, for example, the sliding door body sheet metal is divided into 8*8mm meshes, the wheel arm is divided into 5*5mm meshes, and the wheel is divided into 3*3mm meshes.
[0091] It should be understood that in order to improve the accuracy of the structural model of the target sliding door, the performance analysis device of this embodiment obtains the component information of the initial structural model, performs geometric cleaning on each component in the initial structural model according to the component information, determines the mesh type and mesh size of each component according to the component information, divides the components after geometric cleaning into grids according to the grid type and grid size, and configures each component after grid processing according to the component information to obtain the target structural model.
[0092] In a specific implementation, the performance analysis device obtains the component information of the initial structural model, performs geometric cleaning on each component in the initial structural model according to the component information, determines the mesh type and mesh size of each component according to the component information, divides the sliding door body sheet metal into a 2D grid with a mesh size of 8*8mm, performs fine modeling on the guide rail, and divides it into a 2D grid with a mesh size of 5*5mm, performs fine modeling on the wheel arm and the wheel, divides the wheel arm into a 3D grid with a mesh size of 5*5mm, and divides the wheel into a 3D grid with a mesh size of 3*3mm.
[0093] Furthermore, in order to improve the accuracy of the structural model of the target sliding door, the above step S205 may include:
[0094] Step S215: determining material information of each component according to the component information;
[0095] Step S225: assigning attributes to each mesh-processed component according to the material information;
[0096] Step S235: determining connection information of each component according to the component information;
[0097] Step S245: performing connection processing on the components after being assigned attributes according to the connection information;
[0098] Step S255: configuring the connected components according to the component information to obtain a target structural model.
[0099] In a specific implementation, the performance analysis device determines the material information of each component according to the component information, and assigns attributes to each component after mesh processing according to the material information: the sliding door body material can adopt the MAT20 rigid material type, and the guide rail, the wheel arm and the wheel can adopt the MAT24 material type; the connection information of each component is determined according to the component information to determine the connection relationship and contact relationship between the components, and the components after the attributes are assigned are connected according to the connection information: the axle pin connection of the wheel arm can adopt the revolute simulation connection, the connection between the wheel arm and the sliding door body can adopt the constrainedex tranode simulation connection, and the contact between the wheel and the guide rail can be set to surface to surface contact; the components after connection processing are configured according to the component information to obtain the target structural model.
[0100] Further, in order to ensure that the weight of each component in the structural model of the target sliding door is consistent with the actual working condition, the above step S255 may include:
[0101] Step S2551: Determine the center of mass information and counterweight information of each component according to the component information;
[0102] Step S2552: performing weight balancing on each component after connection processing according to the centroid information and the weight balancing information;
[0103] Step S2553: performing configuration processing on each component after the weight processing according to the component information to obtain a target structure model.
[0104] In a specific implementation, the performance analysis device determines the center of mass information and counterweight information of each component based on the component information, and performs counterweight processing on each component after connection processing according to the weight of the interior and exterior accessories of the sliding door, the center of mass information and the counterweight information. The counterweight is weighted at the center of mass mass point and is represented by mass units. The components after the counterweight processing are configured according to the component information to obtain the target structural model.
[0105] Furthermore, in order to accurately create constraints for the initial structural model, the above step S2553 may include:
[0106] Step S2554: determining the hierarchical information of each component according to the component information;
[0107] Step S2555: performing constraint processing on each component after weight processing according to the hierarchical information;
[0108] Step S2556: Determine the force information of each component according to the component information, apply force to each component after constraint processing according to the force information, and obtain the target structural model.
[0109] In a specific implementation, the performance analysis device determines the hierarchical information of each component according to the component information, constrains each component after the counterweight processing according to the hierarchical information, establishes a constraint layer, moves the grid near the guide rail bolt mounting hole into the constraint layer, assigns rigid material properties, determines the force information of each component according to the component information, applies force to each component after the constraint processing according to the force information, applies gravity in the negative Z-axis direction to the sliding door body, and applies a pulling force of 80N in the X-axis direction to the door handle (in the positive X-axis direction when the door is opened and in the negative X-axis direction when the door is closed). For example, when analyzing the smoothness of door opening, the original state of the door is the open and closed state. When the door is opened, the door handle applies a force of 80N in the positive X-axis direction. When analyzing the smoothness of door closing, the original state of the door is the maximum open state. When the door is closed, the door handle applies a force of 80N in the negative X-axis direction.
[0110] This embodiment obtains the target structural model by acquiring component information of the initial structural model, geometrically processing each component in the initial structural model according to the component information, determining the mesh type and mesh size of each component according to the component information, meshing each component after the geometric processing according to the mesh type and mesh size, and configuring each component after the mesh processing according to the component information; since the present invention geometrically cleans the initial structural model according to the component information of the initial structural model, meshes each component after the geometric cleaning, and then configures the meshed components, thereby obtaining a target structural model that meets the target sliding door structure, the accuracy of the smoothness performance analysis is improved.
[0111] refer to Figure 4 , Figure 4 The figure is a flow chart of a third embodiment of a method for analyzing the smoothness performance of a vehicle sliding door according to the present invention.
[0112] Based on the above first embodiment, in this embodiment, step S40 includes:
[0113] Step S401: controlling the operation of the target structure model based on the operation condition information, and collecting model operation information of the target structure model during the operation;
[0114] Step S402: Acquire the platform operation information of the target sliding door;
[0115] Step S403: comparing the model operation information with the test bench operation information;
[0116] Step S404: judging whether the target structure model meets the preset conditions according to the benchmarking result;
[0117] Step S405: If satisfied, then a smooth performance analysis is performed on the target structure model during operation;
[0118] Step S406: If not satisfied, return to the step of obtaining the component information of the initial structural model, and perform configuration processing on each component in the initial structural model according to the component information to obtain the target structural model.
[0119] It should be noted that the model operation information may be the operation parameter information of the target structural model under different working conditions, for example, the model operation information may include: the force value of the guide wheel and the load-bearing wheel, the average velocity of the center of mass and the displacement distance and other information. The above-mentioned bench operation information may be the operation information of the target sliding door in the sliding door bench test. The above-mentioned preset conditions may be pre-set conditions for judging whether the target structural model is consistent with the actual structure of the target sliding door.
[0120] In a specific implementation, the performance analysis device controls the operation of the target structural model based on the operating condition information, collects the model operation information of the target structural model during the operation, obtains the bench operation information of the target sliding door, and benchmarks the model operation information with the bench operation information. According to the benchmarking result, it is judged whether the target structural model meets the preset conditions. For example, if the benchmarking error is within 20%, the model operation information is determined to be accurate, and a smooth performance analysis is performed on the target structural model during the operation. If the benchmarking error exceeds 20%, it is necessary to readjust the model, return to the component information of the initial structural model, and configure and process each component in the initial structural model according to the component information to obtain the target structural model.
[0121] This embodiment controls the operation of the target structural model based on the operating condition information, collects the model operation information of the target structural model during the operation, obtains the bench operation information of the target sliding door, compares the model operation information with the bench operation information, and determines whether the target structural model meets the preset conditions according to the comparison result. If so, the smooth performance analysis of the target structural model during the operation is performed; if not, the step of obtaining the component information of the initial structural model is returned, and each component in the initial structural model is configured and processed according to the component information to obtain the target structural model. Since the present invention compares the model operation information with the bench operation information, and determines whether the target structural model meets the preset conditions according to the comparison result, it effectively avoids timely model adjustment when the target structural model is inconsistent with the target sliding door, thereby ensuring the accuracy of the smooth performance analysis of the target sliding door.
[0122] In addition, an embodiment of the present invention further proposes a storage medium, on which a smoothness performance analysis program for a vehicle sliding door is stored. When the smoothness performance analysis program for a vehicle sliding door is executed by a processor, the steps of the smoothness performance analysis method for a vehicle sliding door as described above are implemented.
[0123] Since the storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.
[0124] Reference Figure 5 , Figure 5 It is a structural block diagram of the first embodiment of the vehicle sliding door smoothness performance analysis device of the present invention.
[0125] like Figure 5 As shown, the smoothness performance analysis device for a vehicle sliding door provided in an embodiment of the present invention comprises:
[0126] A model acquisition module 10 is used to acquire an initial structural model corresponding to a target sliding door;
[0127] A configuration processing module 20 is used to obtain component information of the initial structural model, and perform configuration processing on each component in the initial structural model according to the component information to obtain a target structural model;
[0128] A working condition acquisition module 30, used to acquire the operating condition information corresponding to the target sliding door;
[0129] The performance analysis module 40 is used to control the operation of the target structure model based on the operating condition information and perform a smooth performance analysis on the target structure model during operation.
[0130] Furthermore, the configuration processing module 20 is also used to obtain component information of the initial structural model; perform geometric processing on each component in the initial structural model according to the component information; determine the mesh type and mesh size of each component according to the component information; perform mesh processing on each component after geometric processing according to the mesh type and mesh size; perform configuration processing on each component after mesh processing according to the component information to obtain the target structural model.
[0131] Furthermore, the configuration processing module 20 is also used to determine the material information of each component according to the component information; assign attributes to each component after mesh processing according to the material information; determine the connection information of each component according to the component information; perform connection processing on each component after the attribute is assigned according to the connection information; perform configuration processing on each component after the connection processing according to the component information to obtain the target structure model.
[0132] Furthermore, the configuration processing module 20 is also used to determine the center of mass information and counterweight information of each component according to the component information; perform counterweight processing on each component after connection processing according to the center of mass information and the counterweight information; and perform configuration processing on each component after counterweight processing according to the component information to obtain the target structure model.
[0133] Furthermore, the configuration processing module 20 is also used to determine the hierarchical information of each component according to the component information; perform constraint processing on each component after counterweight processing according to the hierarchical information; determine the force information of each component according to the component information, and perform force application processing on each component after constraint processing according to the force information to obtain the target structural model.
[0134] Furthermore, the performance analysis module 40 is also used to control the operation of the target structural model based on the operating condition information, and collect model operation information of the target structural model during operation; obtain the bench operation information of the target sliding door; benchmark the model operation information with the bench operation information; determine whether the target structural model meets the preset conditions according to the benchmarking result; if so, perform smooth performance analysis on the target structural model during operation; if not, return to the step of obtaining the component information of the initial structural model, and configure and process each component in the initial structural model according to the component information to obtain the target structural model.
[0135] Furthermore, the performance analysis module 40 is also used to determine the performance weight corresponding to each working condition analysis result in the smoothness performance analysis result according to the operating condition information; sort the working condition performance of each working condition analysis result according to the performance weight; and evaluate the smoothness performance of the target sliding door according to the working condition performance sorting result.
[0136] This embodiment obtains the target structural model by obtaining the initial structural model corresponding to the target sliding door, obtains the component information of the initial structural model, and configures and processes the components in the initial structural model according to the component information to obtain the target structural model, obtains the operating condition information corresponding to the target sliding door, controls the operation of the target structural model based on the operating condition information, and performs a smooth performance analysis on the target structural model during operation; because the present invention obtains the target structural model by obtaining the initial structural model corresponding to the target sliding door, configures and processes the components in the initial structural model according to the component information of the initial structural model to obtain the target structural model, thereby achieving preprocessing of the structural model, improving the accuracy of the structural model of the target sliding door, ensuring the accuracy of the smooth performance analysis, obtaining the operating condition information corresponding to the target sliding door, controlling the operation of the target structural model based on the operating condition information, and performing a smooth performance analysis on the target structural model during operation, thereby achieving analysis based on the actual operating condition scenario of the target sliding door, and effectively improving the accuracy of the smooth performance analysis of the target sliding door.
[0137] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.
[0138] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.
[0139] In addition, for technical details that are not described in detail in this embodiment, reference can be made to the method for analyzing the smoothness performance of a vehicle sliding door provided in any embodiment of the present invention, and will not be repeated here.
[0140] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.
[0141] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.
[0142] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.
[0143] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A method for analyzing the smoothness performance of a vehicle sliding door. It is characterized in that The method for analyzing the smoothness performance of the vehicle sliding door comprises: Obtaining an initial structural model corresponding to the target sliding door; Acquiring component information of the initial structural model; Performing geometric processing on each component in the initial structural model according to the component information; Determine the mesh type, mesh size, material information, connection information, center of mass information, weight information, layer information and force information of each component according to the component information; Performing mesh processing on each component after geometric processing according to the mesh type and the mesh size; Assigning attributes to each mesh-processed component according to the material information; Performing connection processing on each component after being assigned attributes according to the connection information; Performing weight balancing on each component after connection processing according to the center of mass information and the weight balancing information; Performing constraint processing on each component after weight processing according to the hierarchical information; According to the force information, force is applied to each component after the constraint processing to obtain a target structural model; Obtaining operating condition information corresponding to the target sliding door; The operation of the target structure model is controlled based on the operating condition information, and a smooth performance analysis is performed on the target structure model during the operation.
2. The method for analyzing the smoothness performance of a vehicle sliding door according to claim 1, It is characterized in that The controlling the operation of the target structure model based on the operating condition information and performing a smooth performance analysis on the target structure model during operation includes: Controlling the operation of the target structure model based on the operation condition information, and collecting model operation information of the target structure model during the operation; Acquiring the gantry operation information of the target sliding door; Benchmarking the model operation information with the bench operation information; Judging whether the target structure model meets the preset conditions according to the benchmarking results; If satisfied, then a smooth performance analysis is performed on the target structural model during operation; If not, the step of returning to the step of obtaining the component information of the initial structural model, and configuring each component in the initial structural model according to the component information to obtain the target structural model.
3. The method for analyzing the smoothness performance of a vehicle sliding door according to claim 1, It is characterized in that After controlling the operation of the target structure model based on the operating condition information and performing a smooth performance analysis on the target structure model during operation, the method further includes: Determining, according to the operating condition information, a performance weight corresponding to each operating condition analysis result in the smooth performance analysis result; Sorting the operating condition performance of each operating condition analysis result according to the performance weight; The smoothness performance of the target sliding door is evaluated according to the operating condition performance ranking results.
4. A device for analyzing the smoothness performance of a vehicle sliding door, It is characterized in that The smoothness performance analysis device of the vehicle sliding door comprises: A model acquisition module, used to acquire an initial structural model corresponding to a target sliding door; A configuration processing module is used to obtain component information of the initial structural model; perform geometric processing on each component in the initial structural model according to the component information; determine the mesh type, mesh size, material information, connection information, center of mass information, weight information, hierarchy information and force information of each component according to the component information; perform mesh processing on each component after geometric processing according to the mesh type and mesh size; assign attributes to each component after mesh processing according to the material information; perform connection processing on each component after attribute assignment according to the connection information; perform weight processing on each component after connection processing according to the center of mass information and the weight information; perform constraint processing on each component after weight processing according to the hierarchy information; perform force application processing on each component after constraint processing according to the force information, so as to obtain a target structural model; A working condition acquisition module, used to acquire the operating condition information corresponding to the target sliding door; A performance analysis module is used to control the operation of the target structure model based on the operating condition information and perform a smooth performance analysis on the target structure model during operation.
5. A vehicle sliding door smoothness performance analysis device, It is characterized in that The smoothness performance analysis device for a vehicle sliding door comprises: a memory, a processor, and a smoothness performance analysis program for a vehicle sliding door stored in the memory and executable on the processor, wherein the smoothness performance analysis program for a vehicle sliding door is configured to implement the smoothness performance analysis method for a vehicle sliding door as described in any one of claims 1 to 3.
6. A storage medium, It is characterized in that The storage medium stores a smoothness performance analysis program for a vehicle sliding door, and when the smoothness performance analysis program for a vehicle sliding door is executed by a processor, the smoothness performance analysis method for a vehicle sliding door according to any one of claims 1 to 3 is implemented.
Citation Information
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