A virtual detection method and system for a steering column with intermediate shaft assembly

Through parametric model construction and virtual detection methods, the cumbersome design problem of the steering column and intermediate shaft assembly was solved, automatic updating and synchronous detection of the model were achieved, design efficiency was improved, and it was adapted to the iteration of new models.

CN119538415BActive Publication Date: 2025-10-10CHERY AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202411716440.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-10-10
Estimated Expiration
2044-11-27

AI Technical Summary

Technical Problem

The existing design method of the steering column with intermediate shaft assembly is cumbersome, difficult to meet the design requirements of the rapid iteration of new models, and inefficient.

Method used

By adopting parametric model building and virtual detection methods, the automatic update and synchronous detection of the model are achieved by determining the hard point coordinates, generating a hard point design table, building a simplified boundary model, and establishing the motion trajectory and envelope type.

Benefits of technology

It improves the development and design efficiency of the steering column and intermediate shaft assembly, simplifies the design process, realizes automatic updating and synchronous detection of the model, and adapts to the iterative design of new models.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure provides a virtual detection method and system for a steering column with intermediate shaft assembly, and relates to the technical field of automobile design. The method comprises: building a parameterized model of the steering column with intermediate shaft assembly; sequentially performing intermediate shaft torque fluctuation detection, intermediate shaft envelope detection, and model motion envelope detection on the built parameterized model of the steering column with intermediate shaft assembly; wherein building the parameterized model of the steering column with intermediate shaft assembly comprises: determining the initial positions of each hard point in the steering column with intermediate shaft assembly, and obtaining the coordinates of each hard point; generating a hard point design table based on parameterized design, building a simplified boundary model of the steering column with intermediate shaft assembly, and associating the simplified boundary model with the hard point design table; establishing a motion command of a moving part, and a motion trajectory and an envelope type of each motion, and completing the building of the parameterized model of the steering column with intermediate shaft assembly. The present disclosure can improve the development and design efficiency of the steering column with intermediate shaft assembly.
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Description

Technical Field

[0001] The present disclosure relates to the technical field of vehicle design, and in particular to a virtual detection method and system for a steering column and intermediate shaft assembly. Background Art

[0002] The steering column with intermediate shaft assembly is a common structure in current vehicle steering transmission systems. During the design process, its design position and motion trajectory must be checked to ensure they meet ergonomics and spatial layout requirements. Because the intermediate shaft often utilizes a double-cross universal joint design, this structure inherently exhibits uneven transmission speeds when affected by spatial angles. This produces significant torque fluctuations, affecting steering feel and steering force gradients. Therefore, OEMs typically set a maximum torque fluctuation range. Therefore, during the design of the steering column with intermediate shaft assembly, ergonomics, spatial layout, and intermediate shaft torque fluctuations must be considered simultaneously.

[0003] The currently widely used design method for steering column and intermediate shaft assemblies is to first adjust the steering system hard points and length adjustment range based on ergonomics and spatial layout requirements; then build a data model based on these parameters; then measure the spatial angle values ​​between the various parts of the intermediate shaft under the design state, and then substitute the angle values ​​into the formula to calculate the torque fluctuation value. If it fails, it will be adjusted again until it meets the requirements; then build a digital prototype model based on this data model to generate the trajectory and envelope of the moving parts; finally, measure the spatial layout clearance value and other measurement items based on the full vehicle data to ensure that they meet the requirements. However, this design process is very cumbersome. Whenever any parameter changes or any related peripheral parts change, the above steps need to be repeated and redesigned, which is inefficient and difficult to meet the design requirements of the rapid iteration of new models. Summary of the Invention

[0004] The disclosed embodiments provide a virtual inspection method and system for a steering column with intermediate shaft assembly to improve the efficiency of the development and design of the steering column with intermediate shaft assembly. The technical solution is as follows:

[0005] In a first aspect, a virtual detection method for a steering column with an intermediate shaft assembly is provided, comprising:

[0006] Build a parametric model of the steering column and intermediate shaft assembly;

[0007] For the built parametric model of the steering column and intermediate shaft assembly, the intermediate shaft torque fluctuation test, intermediate shaft and parts envelope test, and model motion envelope test are carried out in sequence;

[0008] Among them, the parametric model of the steering column and intermediate shaft assembly is built, including:

[0009] Determine the initial position of each hard point in the steering column and intermediate shaft assembly and obtain the coordinates of each hard point;

[0010] Generate a hard point design table based on parametric design, build a simplified boundary model of the steering column and intermediate shaft assembly, and associate the simplified boundary model with the hard point design table;

[0011] Establish the moving parts operation commands, as well as the motion trajectory and envelope type of each motion, and complete the construction of the parametric model of the steering column and intermediate shaft assembly.

[0012] In a second aspect, a virtual detection system for a steering column with an intermediate shaft assembly is provided, comprising:

[0013] A parametric model building module, configured to build a parametric model of a steering column with an intermediate shaft assembly;

[0014] The detection module is configured to perform intermediate shaft torque fluctuation detection, intermediate shaft and parts envelope detection, and model motion envelope detection on the constructed parametric model of the steering column and intermediate shaft assembly;

[0015] Among them, the parametric model building module includes:

[0016] a hard point coordinate acquisition module configured to determine an initial position of each hard point in the steering column with intermediate shaft assembly and acquire the coordinates of each hard point;

[0017] an association module configured to generate a hard point design table based on the parametric design, build a simplified boundary model of the steering column with the intermediate shaft assembly, and associate the simplified boundary model with the hard point design table;

[0018] The model building module is configured to establish the moving parts operation commands, as well as the motion trajectory and envelope type of each motion, to complete the construction of the parametric model of the steering column and intermediate shaft assembly.

[0019] In a third aspect, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to complete the steps of the above-mentioned virtual detection method for a steering column with an intermediate shaft assembly.

[0020] In a fourth aspect, a computer-readable storage medium is provided for storing computer instructions. When the computer instructions are executed by a processor, the steps of the above-mentioned virtual detection method of a steering column with an intermediate shaft assembly are completed.

[0021] In a fifth aspect, a computer program product is provided, comprising a computer program / instruction, which, when executed by a processor, implements the steps of the above-mentioned method for virtual detection of a steering column with an intermediate shaft assembly.

[0022] The technical scheme provided by the embodiments of the present disclosure has the beneficial effects that: in the embodiments of the present disclosure, the steering column with intermediate shaft assembly model is parameterized, the model is associated with the parameterized hard points, when the new vehicle model is iteratively designed and the hard points and parameters are changed, the model can be automatically updated synchronously without the need of re-modeling, thereby greatly improving the development and design efficiency of the steering column with intermediate shaft assembly. In addition, based on the parameterized model of the steering column with intermediate shaft assembly built in the embodiments of the present disclosure, a virtual detection step is further proposed, the forward development process is standardized, and the development and design efficiency is further improved.

[0023] The advantages of the additional aspects of the present disclosure will be partially given in the following description, partially become obvious from the following description, or be known by the practice of the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical scheme in the embodiments of the present disclosure, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0025] Figure 1 is a flowchart of a virtual detection method of a steering column with intermediate shaft assembly provided by the embodiments of the present disclosure;

[0026] Figure 2 is a specific flowchart of step 1 of a virtual detection method of a steering column with intermediate shaft assembly provided by the embodiments of the present disclosure;

[0027] Figure 3 is a specific flowchart of step 2 of a virtual detection method of a steering column with intermediate shaft assembly provided by the embodiments of the present disclosure;

[0028] Figure 4 is a schematic diagram of generating a hard point design table in the embodiments of the present disclosure;

[0029] Figure 5 is a structural schematic diagram of a parameterized model of a steering column with intermediate shaft assembly in the embodiments of the present disclosure;

[0030] Figure 6 is a schematic diagram of model kinematic pair establishment in the embodiments of the present disclosure;

[0031] Figure 7 is a schematic diagram of establishing each motion standard trajectory and envelope in the embodiments of the present disclosure;

[0032] Figure 8 is a virtual detection schematic diagram of rotational torque fluctuation in the embodiments of the present disclosure;

[0033] Figure 9This is a structural block diagram of a virtual detection system for a steering column and intermediate shaft assembly provided by an embodiment of the present disclosure;

[0034] Figure 10 It is a structural diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] In order to make the objectives, technical solutions and advantages of the present disclosure more clear, the embodiments of the present disclosure will be further described in detail below with reference to the accompanying drawings.

[0036] Figure 1 This is a flow chart of a virtual detection method for a steering column with an intermediate shaft assembly provided by an embodiment of the present disclosure. The method includes two parts: parameterized model building and virtual detection, specifically including:

[0037] Step 1: Build a parametric model of the steering column and intermediate shaft assembly;

[0038] Step 2: For the constructed parametric model of the steering column and intermediate shaft assembly, perform intermediate shaft torque fluctuation detection, intermediate shaft and parts envelope detection, and model motion envelope detection in sequence.

[0039] Among them, in step 1, if Figure 2 As shown, specifically including:

[0040] Step 101: Determine the initial position of each hard point in the steering column and intermediate shaft assembly, and obtain the coordinates of each hard point;

[0041] Step 102: Generate a hard point design table based on the parametric design, build a simplified boundary model of the steering column with intermediate shaft assembly, and associate the simplified boundary model with the hard point design table;

[0042] Step 103: Establish the moving part operation command, the motion trajectory and envelope type of each motion, and complete the construction of the parametric model of the steering column and intermediate shaft assembly.

[0043] This disclosed embodiment builds a parametric model of the steering column and intermediate shaft assembly based on CATIA, establishing a standardized template. Based on design requirements, it can cover all column-type steering types, including mechanical steering columns, column-mounted electric power steering, manually adjustable steering columns, electrically adjustable steering columns, and drive-by-wire steering columns with simulated feel, while also covering all test items. The model is linked to parametric hard points, and when new models update hard points and parameters, the parametric model automatically updates synchronously, eliminating the need to repeatedly install digital prototype models. This shortens the R&D cycle, standardizes the forward development process and virtual testing steps, and achieves standardized management of the R&D process.

[0044] The following detailed explanation is given using a mechanical manually adjustable steering column with an intermediate shaft as an example. At the same time, the differences in implementation details of other column-type steering types in different steps are explained in the specific steps.

[0045] In step 101, hard points are a general term for control points (or coordinates), control lines, control surfaces, and control structures determined during the overall layout design process to ensure coordination and assembly between components and meet styling requirements. These points are typically pre-selected based on the vehicle's overall dimensions. The hard point coordinates of the steering column and intermediate shaft assembly are extracted from the CATIA model. These hard points include the steering wheel rotation center, steering input shaft rotation center, upper column sliding center, lower column sliding center, left and right mounting points of the upper and lower mounting brackets, left and right rotation points of the manual adjustment handle, upper and lower cross shaft centers, and the steering input shaft engagement point.

[0046] In step 102, if Figure 4 As shown, the hard point parameters are associated through CATIA parametric design to generate a hard point design table, so that the subsequently constructed model can be associated with the hard points, and the model coordinate value association design table can be updated synchronously.

[0047] Based on the hard points of each component of the steering column with intermediate shaft assembly, combined with the actual installation reference surface and the maximum boundary of ergonomics, a simplified boundary model of each component constructed by lines and surfaces is constructed through CATIA parametric design, such as Figure 5 As shown, the components include the steering wheel, steering input shaft, upper column assembly, manual adjustment handle, upper mounting bracket, lower column assembly, steering output shaft, lower mounting bracket, intermediate shaft assembly (intermediate shaft upper yoke, intermediate shaft upper shaft tube, intermediate shaft lower shaft tube, intermediate shaft lower yoke), and steering gear input shaft. Furthermore, the area containing the upper column assembly, manual adjustment handle, upper mounting bracket, lower column assembly, and steering output shaft also serves as an associated component assembly area, which will be used for further assembly of associated moving components in subsequent designs. Boundary model associated hard points are simplified to enable modification of the hard point design table and synchronous model updates.

[0048] In step 103, if Figure 6-Figure 7 As shown, first, the moving part operation commands are established. Based on the mechanical principles of the steering column and intermediate shaft assembly, the left and right steering rotation limit movement commands, the steering axial adjustment limit and safety collision collapse command, the steering angle adjustment command, and the manual adjustment handle opening and closing commands are set. The steering input and output shaft rotation speed monitoring sensors are then set, and a law curve is established to define the constant rotation speed, completing the establishment of the torque fluctuation detection command.

[0049] Secondly, standardized motion trajectories and envelope types were established for each motion. The steering column and intermediate shaft assembly kinematic pairs included rotational motion from the steering input shaft to the output shaft, axial upper and lower limit position adjustment, upper and lower limit position adjustment around the lower bracket angle, manual adjustment, and handle opening and closing motion. Based on the coordination of each kinematic pair, motion trajectory detection points were set for various situations for subsequent virtual testing.

[0050] After completing the construction of the parametric model of the steering column with intermediate shaft assembly in step 1, proceed to the virtual inspection in step 2. Figure 3 As shown, step 2 specifically includes:

[0051] Step 201: Optimize hard point coordinates based on ergonomic boundaries;

[0052] Step 202: Perform steering column and intermediate shaft torque fluctuation detection. If the steering column and intermediate shaft torque fluctuation meets the requirements, execute step 203; otherwise, optimize the hard point coordinates and re-detect;

[0053] Step 203: Assemble the three-dimensional digital models of each component to generate the motion trajectory and envelope of the steering system;

[0054] Step 204: Perform envelope inspection of the intermediate shaft and parts. If the envelope inspection of the intermediate shaft and parts meets the requirements, proceed to step 205; otherwise, optimize the parts structure and re-inspect;

[0055] Step 205: Assemble external associated motion components to generate a motion envelope of the overall model;

[0056] Step 206: Perform model motion envelope detection. If the model motion envelope detection meets the requirements, output the design results. Otherwise, optimize the external associated motion components and re-test.

[0057] For a more comprehensive explanation, the following takes a new design and development scenario as an example to explain step 2 in detail.

[0058] In step 201, the steering column is arranged in the passenger compartment. In the early stage of design, the ergonomic boundary is first determined, the hard point coordinates are optimized under the spatial boundary, the corresponding hard point coordinate values ​​in the hard point design table are modified, and the model is updated synchronously in the CATIA software. The model is tested in the ergonomic view until it meets the ergonomic boundary requirements. A version of the hard points that meet the requirements is locked, and the intermediate shaft torque fluctuation test is performed.

[0059] In step 202, the steering column with intermediate shaft torque fluctuation is detected, and the angle adjustment middle position, the angle adjustment upper limit position, and the angle adjustment lower limit position trajectory setting are selected respectively. Then, the input and output rotation speed difference values ​​are generated using the corresponding law curves. The steering column with intermediate shaft torque fluctuation value, such as Figure 8 As shown. The steering wheel on a real vehicle needs to be adjustable up and down, as well as forward and backward. Due to the mechanical structure, when the steering wheel angle is adjusted, some parts rotate around the lower bracket, affecting the hard point of the intermediate shaft, resulting in changes in torque fluctuation. Therefore, it is necessary to test the torque fluctuation of the steering column at different angle adjustment positions. Because the intermediate shaft is a double cross-axis structure, consisting of two upper and lower cross-axis shafts, when the structure is not straightened, when the upper cross-axis rotates at a specific speed, the lower cross-axis shaft may rotate at a higher or lower speed than the upper cross-axis. For steering, the inconsistent rotation speeds of the upper and lower intermediate shafts alone will cause torque fluctuations in the steering wheel. The input rotational speed is the rotational speed of the steering wheel, and the output rotational speed is the rotational speed of the steering gear input shaft. The output shaft's uneven rotational speed fluctuations exhibit a sinusoidal curve. Since the starting position is the center of the steering wheel, the rotational speed is visually symmetrical between the peaks and valleys at the start. This step can be omitted if a steer-by-wire system is used.

[0060] Determine whether the torque fluctuation of the steering column with the intermediate shaft meets the requirements. If so, continue to perform the subsequent detection process; if not, repeat step 201, optimize the hard point coordinates, and re-test.

[0061] In step 203, after the torque fluctuation test of the steering column with intermediate shaft is passed, the specific three-dimensional digital models of the components of the steering column with intermediate shaft type are assembled to the corresponding positions of the simplified boundary model in CATIA software according to the required design of the steering column with intermediate shaft type and fixedly connected with the model to form an associated motion, such as Figure 5 As shown, the components include steering wheel, steering input shaft, upper column assembly, manual adjustment handle, upper mounting bracket, lower column assembly, steering output shaft, lower mounting bracket, intermediate shaft assembly (intermediate shaft upper yoke, intermediate shaft upper shaft tube, intermediate shaft lower shaft tube, intermediate shaft lower yoke), and steering gear input shaft. If an electric adjustment column is used, the manual adjustment handle is ignored. Other structural differences are the same as those of the previous model. Figure 4 The parts shown are for overall installation and no parts are missing.

[0062] Then, the motion trajectory and envelope of the steering system are generated, such as Figure 7 As shown, based on the standardized trajectories of each motion, a model motion envelope is generated for synchronized engineering across related departments. For electrically adjustable columns, the generated envelope hides the steering handle. For steer-by-wire systems, the generated envelope hides the intermediate shaft assembly. Given the large number of vehicle parts and the need for multi-departmental collaboration during development, synchronized engineering is necessary to ensure synchronized progress and design maturity across departments.

[0063] In step 204, the assembled model is inspected to see if it meets internal and external space requirements. If the steering column, intermediate shaft, and component envelope do not meet these requirements, the component structure is optimized and retested until they meet these requirements. The steering column, intermediate shaft, and component envelope, including the intermediate shaft envelope and the envelopes of each component, includes inspection of the internal components of the steering column, intermediate shaft, and the layout of the surrounding components.

[0064] In step 205, confirm the external related moving parts, assemble the external related moving parts such as electronic lock (if any), combination switch assembly, upper and lower interior protection covers, etc. Figure 4 The associated parts assembly area shown in the figure is fixed with the model to form associated motion. Then the overall motion trajectory and envelope of the entire steering system and external associated motion parts are generated, as shown in Figure 7 As shown, click on each standardized motion trajectory to generate the model motion envelope for spatial layout detection, safety collision collapse, and ergonomic cross-section analysis.

[0065] In step 206, the model motion envelope test is performed and the external associated motion components are checked. If the test fails, the structural dimensions of the external associated motion components are optimized and the test is repeated. If the test passes, it indicates that all tests meet the design requirements. This is used as the final design data. After freezing the data, it is archived in the system, completing the design and virtual inspection tasks of the steering column with intermediate shaft assembly.

[0066] Figure 9 is a structural block diagram of a virtual detection system 300 for a steering column with an intermediate shaft assembly provided by an embodiment of the present disclosure, such as Figure 9 As shown, the system includes: a parameterized model building module 301 and a detection module 302.

[0067] The parameterized model building module 301 is configured to build a parameterized model of the steering column with intermediate shaft assembly;

[0068] The detection module 302 is configured to perform intermediate shaft torque fluctuation detection, intermediate shaft envelope detection, and model motion envelope detection on the constructed parameterized model of the steering column and intermediate shaft assembly.

[0069] The parameterized model building module 301 specifically includes: a hard point coordinate acquisition module, an association module, and a model building module;

[0070] The hard point coordinate acquisition module is configured to determine the initial position of each hard point in the steering column with intermediate shaft assembly and obtain the coordinates of each hard point;

[0071] an association module configured to generate a hard point design table based on the parametric design, build a simplified boundary model of the steering column with the intermediate shaft assembly, and associate the simplified boundary model with the hard point design table;

[0072] The model building module is configured to establish the moving parts operation commands, as well as the motion trajectory and envelope type of each motion, to complete the construction of the parametric model of the steering column and intermediate shaft assembly.

[0073] It should be noted that the aforementioned embodiment of the virtual detection system 300 for a steering column with an intermediate shaft assembly only illustrates the division of the aforementioned functional modules when performing virtual detection of the steering column with an intermediate shaft assembly. In actual applications, the aforementioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. Furthermore, the aforementioned embodiment of the virtual detection system 300 for a steering column with an intermediate shaft assembly and the embodiment of the virtual detection method for a steering column with an intermediate shaft assembly are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0074] Figure 10 : is a structural block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 10 As shown, the electronic device 400 may be a vehicle-mounted computer, etc. The electronic device 300 includes: a processor 401 and a memory 402 .

[0075] The processor 401 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 401 may include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 401 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 401 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0076] Memory 402 may include one or more computer-readable media, which may be non-transitory. Memory 402 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory storage devices. In some embodiments, the non-transitory computer-readable media in memory 402 is used to store at least one computer program, which is executed by processor 401 to implement a virtual inspection method for a steering column with intermediate shaft assembly provided in embodiments of the present disclosure.

[0077] Those skilled in the art will understand that Figure 10 The structure shown in the figure does not constitute a limitation on the electronic device 400, and the electronic device 400 may include more or fewer components than shown in the figure, or combine certain components, or adopt a different component arrangement.

[0078] The embodiment of the present disclosure also provides a computer-readable storage medium for storing computer instructions. When the computer instructions are executed by a processor, the steps of a virtual detection method for a steering column with an intermediate shaft assembly provided in the embodiment of the present disclosure can be completed.

[0079] The present disclosure also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of a virtual detection method for a steering column with an intermediate shaft assembly provided in the present disclosure.

[0080] The foregoing description is merely a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Those skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present disclosure shall be included within the scope of protection of the present disclosure.

Claims

1. A virtual detection method for a steering column with an intermediate shaft assembly, characterized in that: include: Build a parametric model of the steering column and intermediate shaft assembly; For the built parametric model of the steering column and intermediate shaft assembly, the intermediate shaft torque fluctuation test, intermediate shaft and parts envelope test, and model motion envelope test are carried out in sequence; Among them, the parametric model of the steering column and intermediate shaft assembly is built, including: Determine the initial position of each hard point in the steering column and intermediate shaft assembly and obtain the coordinates of each hard point; Generate a hard point design table based on parametric design, build a simplified boundary model of the steering column and intermediate shaft assembly, and associate the simplified boundary model with the hard point design table; Establish the moving parts operation commands, as well as the motion trajectory and envelope type of each motion, and complete the construction of the parametric model of the steering column and intermediate shaft assembly; The parametric model of the steering column with intermediate shaft assembly is tested for intermediate shaft and parts torque fluctuation, intermediate shaft envelope, and model motion envelope, including: Optimize hard point coordinates based on ergonomic boundaries; Perform steering column and intermediate shaft torque fluctuation test. If the steering column and intermediate shaft torque fluctuation meets the requirements, perform intermediate shaft and parts envelope test. Otherwise, optimize the hard point coordinates and repeat the steering column and intermediate shaft torque fluctuation test. Assemble the three-dimensional digital models of each component to generate the motion trajectory and envelope of the steering system; Perform envelope testing on the intermediate shaft and parts. If the envelope testing on the intermediate shaft and parts meets the requirements, perform model motion envelope testing. Otherwise, optimize the component structure and perform the intermediate shaft envelope testing again. Assemble external associated motion components to generate the motion envelope of the overall model; Perform model motion envelope detection. If the model motion envelope detection meets the requirements, output the design results. Otherwise, optimize the external associated motion components and re-perform the model motion envelope detection.

2. A virtual detection method for a steering column with an intermediate shaft assembly according to claim 1, characterized in that: The simplified boundary model is a simplified boundary model of each component in the steering column and intermediate shaft assembly constructed by lines and surfaces.

3. The virtual detection method for a steering column with an intermediate shaft assembly according to claim 1, characterized in that: The steering column with intermediate shaft torque fluctuation detection includes respectively detecting the torque fluctuation of the steering column at the middle position of angle adjustment, the upper limit position of angle adjustment, and the lower limit position of angle adjustment.

4. The virtual detection method for a steering column with an intermediate shaft assembly according to claim 1, characterized in that: 3D digital models of various components, including the steering wheel, steering input shaft, upper column assembly, manual adjustment handle, upper mounting bracket, lower column assembly, steering output shaft, lower mounting bracket, intermediate shaft assembly, and steering gear input shaft.

5. The virtual detection method for a steering column with an intermediate shaft assembly according to claim 1, characterized in that: The three-dimensional digital models of each component are assembled, including, according to the type of steering column with intermediate shaft, assembling the three-dimensional digital models of each component corresponding to the type to the corresponding position of the simplified boundary model and fixing them to the model to form associated movement.

6. A virtual detection system for a steering column with an intermediate shaft assembly, characterized in that: Implementing a virtual detection method for a steering column with an intermediate shaft assembly according to any one of claims 1 to 5, comprising: A parametric model building module, configured to build a parametric model of a steering column with an intermediate shaft assembly; The detection module is configured to sequentially perform intermediate shaft torque fluctuation detection, intermediate shaft envelope detection, and model motion envelope detection on the constructed parametric model of the steering column and intermediate shaft assembly; Among them, the parametric model building module includes: a hard point coordinate acquisition module configured to determine an initial position of each hard point in the steering column with intermediate shaft assembly and acquire the coordinates of each hard point; an association module configured to generate a hard point design table based on the parametric design, build a simplified boundary model of the steering column with the intermediate shaft assembly, and associate the simplified boundary model with the hard point design table; The model building module is configured to establish the moving parts operation commands, as well as the motion trajectory and envelope type of each motion, to complete the construction of the parametric model of the steering column and intermediate shaft assembly.

7. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to complete the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that Used to store computer instructions, which, when executed by a processor, complete the steps of the method according to any one of claims 1 to 5.

9. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

Citation Information

Patent Citations

  • Vehicle structural design parameter optimization method

    CN106611073A

  • Steering transmission shaft optimization design method, computer equipment and storage medium

    CN112417609A