Automated system and method for comparing ccb steering column mounting point dynamic stiffness

Abstract

This invention relates to the field of automotive NVH technology, and more particularly to an automated processing and comparison system and method for dynamic stiffness of CCB steering column mounting points. The system includes an input layer, an analytical conversion layer, and a logic calculation layer. The input layer is used to batch import simulation result files, selecting one simulation result file as the baseline model and the remaining simulation result files as optimized models. The analytical conversion layer identifies the four mounting points of the CCB steering column, extracts displacement response values, and converts these values ​​into corresponding dynamic stiffness. The logic calculation layer filters dynamic stiffness data within a preset frequency band and extracts the minimum dynamic stiffness value from the filtered data. It then calculates the performance change rate of the minimum dynamic stiffness value of each optimized model relative to the minimum dynamic stiffness value of the baseline model. This invention analyzes and extracts the minimum dynamic stiffness value within a preset frequency band from simulation result files of different schemes, achieving efficient batch processing of data from multiple schemes and ensuring the consistency and accuracy of the analysis results.

Description

Technical Field

[0001] This invention belongs to the field of automotive NVH technology, and particularly relates to an automated comparison system and method for CCB steering column mounting point stiffness processing. Background Technology

[0002] As the automotive industry rapidly iterates towards electrification, intelligence, and lightweighting, steer-by-wire chassis has become a key technology for achieving decoupling between the upper and lower parts of the vehicle. The application of steer-by-wire (SBW) systems is becoming increasingly widespread, placing higher demands on the steering system's response accuracy, structural stiffness, and noise, vibration, and harshness (NVH) performance. The Cross CarBeam (CCB), as the core mounting carrier of the steering column, not only supports the human-machine interface control equipment and decorative parts but also works in conjunction with the vehicle's safety structure. The dynamic stiffness of its steering column mounting point directly determines the steering system's handling stability, vibration transmission characteristics, and driving comfort, making it one of the core evaluation indicators for CCB structural design and performance optimization.

[0003] In automotive NVH development, the dynamic stiffness of the CCB steering column mounting point is a key parameter affecting steering wheel chatter and evaluating the overall vehicle NVH performance, directly impacting driving quality and ride comfort. With the current accelerated pace of automotive R&D iterations, parallel optimization of multiple solutions has become the norm in CCB structural design. Therefore, rapid analysis and comparison of the dynamic stiffness of the steering column mounting point under different structural schemes are necessary to select the optimal design.

[0004] Currently, in engineering practice, the evaluation of the dynamic stiffness of the CCB steering column mounting point mainly relies on traditional computer-aided engineering (CAE) analysis processes or physical bench tests. Common finite element analysis software (such as ANSYS, ABAQUS, HyperMesh, etc.) is typically used for modeling and solving. This requires manually completing the following steps: cleaning and simplifying the geometric model, assigning material properties, meshing, applying boundary conditions, and finally setting up the solution. After obtaining the modal results, the frequency response function of the mounting point must be manually extracted, and the dynamic stiffness value must be calculated within a specific frequency window using peak picking or curve fitting methods. This process is highly dependent on the engineer's personal experience, which is not only time-consuming and labor-intensive, but also often leads to poor consistency in the analysis results due to differences in operating habits among different personnel. Especially when facing multiple rounds of iterative optimization, this manual processing method is extremely inefficient and cannot meet the fast-paced demands of modern automotive R&D. Summary of the Invention

[0005] In view of this, the present invention aims to provide an automated processing and comparison system and method for CCB steering column mounting momentary stiffness, which realizes the screening and processing of CCB simulation data, realizes one-stop visualization processing for incremental comparison of multiple schemes, greatly reduces the operation of comparing different optimization models and benchmark models, and improves processing efficiency.

[0006] To achieve the above objectives, the technical solution created by this invention is implemented as follows: A CCB steering column mounting jog stiffness automatic processing and comparison system includes: The input layer is used to import simulation result files in batches. One simulation result file is selected as the baseline model, and the remaining simulation result files are defined as optimization models. The original simulation data of the baseline model and the optimization model are output accordingly. The analytical conversion layer forms a data transmission link with the input layer to receive the original simulation data, identify the four mounting points of the CCB steering column, extract the displacement response values ​​of the four mounting points in the X, Y, and Z directions, and convert the displacement response values ​​into the corresponding dynamic stiffness respectively. The logic calculation layer forms a data transmission link with the parsing and conversion layer. It is used to receive the dynamic stiffness data output by the parsing and conversion layer, filter the dynamic stiffness dataset within the preset frequency band, and extract the minimum dynamic stiffness values ​​of the benchmark model and each optimized model respectively. Based on the minimum dynamic stiffness values, the relative change rate of dynamic stiffness performance of each optimized model relative to the benchmark model is calculated. The interactive output layer forms a data transmission link with the logic calculation layer. It is used to visualize the differences in the minimum dynamic stiffness and performance change rate of the dynamic stiffness dataset, benchmark model and various optimized models within the preset frequency band, and supports offline data download and storage.

[0007] Furthermore, the input layer includes a file import module and a model selection module. The file import module is used to read simulation result files in batches, and the model selection module is used to calibrate the benchmark model and the optimized model. The model selection module is also used to output the original simulation data of the benchmark model and the optimized model.

[0008] Furthermore, the analysis and conversion layer includes a node identification module, a displacement data extraction module, and a dynamic stiffness conversion module. The node identification module is used to identify the four mounting points of the CCB steering column. The displacement data extraction module is used to extract the displacement response values ​​U of the four mounting points in the X, Y, and Z directions. The dynamic stiffness conversion module calculates the dynamic stiffness based on the extracted displacement response values ​​U of the four mounting points in the X, Y, and Z directions.

[0009] Furthermore, the logic calculation layer includes a dynamic frequency band filtering module, an extreme value extraction module, a benchmark difference calculation module, and an information output module. The dynamic frequency band filtering module is used to filter dynamic stiffness data within a preset frequency band, and the extreme value extraction module is used to extract the minimum value of the filtered dynamic stiffness data. The benchmark difference calculation module is used to calculate the performance change rate of the minimum dynamic stiffness of the optimized model relative to the minimum dynamic stiffness of the benchmark model. The information output module outputs the filtered dynamic stiffness data, the extracted minimum dynamic stiffness, and the performance change rate to the interactive output layer.

[0010] Furthermore, the interactive output layer includes a curve comparison output module and a data output module. The curve comparison output module receives the filtered dynamic stiffness data and dynamically displays the dynamic stiffness distribution curves of the benchmark model and the optimized model in the same coordinate system. The data output module generates a bar chart of the minimum dynamic stiffness in each optimized model and the benchmark model. The data output module also outputs a table based on the steering column mounting point name, steering column mounting point number, displacement direction, model name, minimum dynamic stiffness, and performance change rate corresponding to the minimum dynamic stiffness in the benchmark model and the optimized model, and displays it in conjunction with the minimum dynamic stiffness data in the bar chart.

[0011] A comparative method for automatically processing the dynamic stiffness of CCB steering column mounting includes the following steps: S1: Import simulation result files in batches into the file import module. The model selection module selects one simulation result file as the baseline model and the remaining simulation result files as the optimization models, and outputs the original simulation data of the baseline model and the optimization models accordingly. S2: The node identification module receives the original simulation data and identifies the four mounting points of the steering column. The displacement data extraction module extracts the displacement response values ​​of the four mounting points in the X, Y, and Z directions from the original simulation data based on the identified four mounting points. S3: The dynamic stiffness conversion module calculates the dynamic stiffness based on the extracted X, Y, and Z displacement response data respectively; S4: The dynamic frequency band filtering module filters the dynamic stiffness data within the preset range, and the extreme value extraction module extracts the minimum value from the filtered dynamic stiffness data. S5: The benchmark difference calculation module calculates the performance change rate of the minimum dynamic stiffness of the optimized model relative to the minimum dynamic stiffness of the benchmark model; S6: The curve comparison output module generates HTML visualization files, and the data output module outputs comparison images, bar charts, CSV structured tables, and filtered simulation data, completing the result presentation and data output.

[0012] Furthermore, in step S3, the formula for calculating dynamic stiffness is: ; In the formula, K is the dynamic stiffness of the mounting point, and U is the displacement response value in the corresponding direction.

[0013] Furthermore, the preset range in step S4 is 0Hz to 150Hz.

[0014] Furthermore, in step S5, the formula for calculating the performance change rate is: ; In the formula, r is the rate of change of performance. To optimize the minimum dynamic stiffness of the model, This represents the minimum dynamic stiffness of the baseline model.

[0015] Compared with the prior art, the present invention can achieve the following beneficial effects: (1) This invention creates a method to analyze and extract the minimum dynamic stiffness within a preset frequency band of simulation result files for different schemes, thereby achieving batch and efficient processing of data from multiple schemes and ensuring the consistency and accuracy of the analysis results; (2) This invention can directly obtain the performance change rate value by selecting different optimization models; (3) The invention can also be applied to dynamic stiffness analysis tasks based on “origin excitation response”. Attached Figure Description

[0016] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 System block diagram of the CCB steering column mounting point dynamic stiffness automatic processing comparison system described in the embodiments of the present invention; Figure 2 A flowchart illustrating the automated processing comparison method for dynamic stiffness of CCB steering column mounting point as described in the embodiments of the present invention; Figure 3 The dynamic stiffness distribution curves of the basic model and the optimized model generated by the CCB steering column mounting point dynamic stiffness automatic processing comparison system described in the embodiment of the present invention are shown below. Figure 4 A bar chart showing the minimum dynamic stiffness of four mounting points of the benchmark model within a preset frequency band, generated by the CCB steering column mounting point dynamic stiffness automatic processing and comparison system described in the embodiment of the present invention. Figure 5 The CSV structured table generated by the CCB steering column mounting point dynamic stiffness automatic processing comparison system described in the embodiments of the present invention.

[0017] Explanation of reference numerals in the attached figures: 10. Input Layer; 20. Parsing and Conversion Layer; 30. Logic Calculation Layer; 40. Interactive Output Layer; 11. File import module; 12. Model selection module; 21. Node identification module; 22. Displacement data extraction module; 23. Dynamic stiffness conversion module; 31. Dynamic frequency band filtering module; 32. Extreme value extraction module; 33. Benchmark difference calculation module; 34. Information output module; 41. Curve comparison output module; 42. Data output module. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not constitute a limitation thereof.

[0019] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0020] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this invention. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0021] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0022] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0023] like Figure 1 As shown, a CCB steering column mounting jog stiffness automatic processing and comparison system includes: Input layer 10 is used to import simulation result files in batches. Any simulation result file can be selected as the baseline model, and the remaining simulation result files can be defined as the optimization model. The original simulation data of the baseline model and the optimization model are output accordingly. The simulation result file can be a .pch file, which contains the displacement response values ​​of the four mounting points of the CCB steering column. The .pch file is the result file that has been calculated by the finite element analysis software. The analysis and conversion layer 20 forms a data transmission link with the input layer 10 to receive the original simulation data and identify the four mounting points STC_1, STC_2, STC_3 and STC_4 of the CCB steering column. The displacement response values ​​of the four mounting points STC_1, STC_2, STC_3 and STC_4 in the X, Y and Z directions are extracted and the displacement response values ​​are converted into the corresponding dynamic stiffness respectively. STC_1 is the upper left mounting point, located on the upper left side of the CCB steering column, mainly bearing the vertical load and lateral force of the steering column; STC_2 is the upper right mounting point, located on the upper right side of the CCB steering column, forming a front support surface with the upper left to ensure lateral stability; STC_3 is the lower left mounting point, located on the lower left side of the rear side of the CCB steering column, bearing longitudinal force and forming an anti-torsional structure with the front points; STC_4 is the lower right mounting point, located on the lower right side of the rear side of the CCB steering column, forming a rear support surface with the lower left to ensure overall rigidity.

[0024] The logic calculation layer 30 forms a data transmission link with the parsing and conversion layer 20. It is used to receive the dynamic stiffness data output by the parsing and conversion layer 20, filter the dynamic stiffness dataset within the preset frequency band, extract the dynamic stiffness dataset within the preset frequency band, and extract the minimum dynamic stiffness values ​​of the benchmark model and each optimized model respectively. Based on the minimum dynamic stiffness values, the relative change rate of dynamic stiffness performance of each optimized model relative to the benchmark model is calculated. Dynamic stiffness data within a preset frequency band can be extracted to generate a dynamic stiffness curve. The horizontal axis represents frequency in Hz, and the vertical axis represents dynamic stiffness in N / mm. Extracting the trough value of the dynamic stiffness curve yields the minimum dynamic stiffness within the selected dynamic stiffness data. Interactive output layer 40 forms a data transmission link with logic calculation layer 30, which is used to visualize the differences in the minimum dynamic stiffness and performance change rate of dynamic stiffness dataset, benchmark model and each optimized model within the preset frequency band, and supports offline data download and storage.

[0025] The input layer 10 includes a file import module 11 and a model selection module 12. The file import module 11 is used to read simulation result files in batches, and the model selection module 12 is used to calibrate the benchmark model and the optimized model. The model selection module 12 is also used to output the original simulation data of the benchmark model and the optimized model.

[0026] The parsing and conversion layer 20 includes a node identification module 21, a displacement data extraction module 22, and a dynamic stiffness conversion module 23. The node identification module 21 identifies the four mounting points of the CCB steering column by matching the node ID list. The displacement data extraction module 22 is used to extract the displacement response values ​​of the four mounting points in the X, Y, and Z directions. The dynamic stiffness conversion module 23 calculates the dynamic stiffness based on the extracted displacement response values ​​of the four mounting points in the X, Y, and Z directions.

[0027] In the simulation output file (.pch format file), the four installation points of the steering column are predefined as fixed nodes, labeled as STC_1, STC_2, STC_3, and STC_4 respectively. The node number corresponding to each installation point is unique and remains constant, and does not change with the simulation model version or structural parameter adjustment. This enables unified benchmarking and lateral comparative analysis of the dynamic stiffness index of the steering column installation position under different simulation models.

[0028] The logic calculation layer 30 includes a dynamic frequency band filtering module 31, an extreme value extraction module 32, a benchmark difference calculation module 33, and an information output module 34. The dynamic frequency band filtering module 31 is used to filter dynamic stiffness data within a preset frequency band. The extreme value extraction module 32 is used to extract the minimum value of the filtered dynamic stiffness data. The benchmark difference calculation module 33 is used to calculate the performance change rate of the minimum dynamic stiffness of the optimized model relative to the minimum dynamic stiffness of the benchmark model. The information output module 34 outputs the filtered dynamic stiffness data, the extracted minimum dynamic stiffness, and the performance change rate to the interactive output layer 40.

[0029] The interactive output layer 40 includes a curve comparison output module 41 and a data output module 42. The curve comparison output module 41 receives the filtered dynamic stiffness data and dynamically displays the dynamic stiffness distribution curves of the benchmark model and the optimized model in the same coordinate system (e.g., ...). Figure 3As shown, blue represents the dynamic stiffness distribution curve of the base model, and red represents the dynamic stiffness distribution curve of an optimized model. The horizontal axis represents frequency, and the vertical axis represents dynamic stiffness; the preset frequency is 0-150Hz. The dynamic stiffness distribution curves of the optimized models use different colors, while the dynamic stiffness distribution curve of the baseline model uses a thick dashed line for easy distinction. The dynamic stiffness of the four mounting points of the steering column in the X, Y, and Z directions can be independently selected and compared synchronously on the dynamic stiffness distribution curves. The dynamic stiffness distribution curves of each optimized model and the baseline model can be displayed in different coordinate systems. The data output module 42 generates a bar chart of the minimum dynamic stiffness values ​​extracted and filtered from each optimized model and the baseline model (e.g., ...). Figure 4 As shown, the bar chart shows the minimum dynamic stiffness of the four mounting points of the benchmark model. Blue represents the base model's bar chart, and red represents an optimized model's bar chart. The horizontal axis represents the name of the steering column mounting point, and the vertical axis represents the minimum dynamic stiffness (preset frequency: 0-150Hz). The horizontal axis represents the steering column mounting point identifier (including displacement direction) in the benchmark model and each optimized model, and the vertical axis represents the minimum dynamic stiffness within the preset frequency band. By changing the preset frequency band data, the height of the bar chart is recalculated and extracted in real time, achieving dynamic updates. The data output module 42 outputs a table based on the steering column mounting point name, steering column mounting point number, displacement direction, model name, minimum dynamic stiffness, and performance change rate (positive / negative percentage color-coded) corresponding to the minimum dynamic stiffness in the benchmark model and each optimized model. Figure 5 As shown in the figure, Label represents the name of the steering column mounting point, Point represents the steering column mounting point number, Dir represents the displacement direction, Model represents the model name, Kdyn represents the minimum dynamic stiffness, and K (%) vs Base represents the performance change rate compared to the baseline model. The figure is displayed in conjunction with the bar chart, which shows the steering column mounting point name (displacement direction) and the minimum dynamic stiffness. It can also export comparison images, bar charts, CSV structured tables, filtered simulation data (truncated simulation data), and supports download functionality.

[0030] The steering column mounting point name (displacement direction), steering column mounting point number, and model name are contents inherent in the simulation result file batch input by the file import module 11. The minimum dynamic stiffness value is the extreme value extracted by the extreme value extraction module 32. The performance change rate (positive / negative percentage color-coded) is calculated by the benchmark difference calculation module 33 and is used to represent the performance change rate of the optimized model relative to the benchmark model. The performance change rate value can be directly obtained by changing the displacement.

[0031] like Figure 2 As shown, a comparative method for automatically processing the dynamic stiffness of CCB steering column mounting includes the following steps: S1: Import simulation result files of different structural schemes in batches into the file import module 11. The model selection module 12 defines one simulation result file as the baseline model and the rest of the simulation result files as the optimization model, and outputs the original simulation data of the baseline model and the optimization model accordingly. S2: The node identification module 21 receives the original simulation data and identifies the four mounting points STC_1, STC_2, STC_3 and STC_4 of the steering column. The displacement data extraction module 22 extracts the displacement response values ​​of STC_1, STC_2, STC_3 and STC_4 in the X, Y and Z directions from the original simulation data according to the four identified mounting points. S3: Dynamic stiffness conversion module 23 calculates the dynamic stiffness based on the extracted X, Y, and Z displacement response data; the formula for calculating the dynamic stiffness is: ; In the formula, K is the dynamic stiffness of the mounting point, and U is the displacement response value in the corresponding direction. The excitation force applied during the simulation analysis is a unit force (1N). Therefore, the dynamic stiffness K can be directly calculated from the reciprocal of the displacement response value U. S4: The dynamic frequency band filtering module 31 filters the dynamic stiffness data within the preset frequency band from 0Hz to 150Hz and extracts the dynamic stiffness dataset within the preset frequency band. The extreme value extraction module 32 extracts the minimum dynamic stiffness values ​​of the benchmark model and each optimized model from the dynamic stiffness dataset. The 0Hz to 150Hz frequency band covers the main frequency range of vehicle idling conditions and normal road excitation, and is a key frequency band for evaluating the NVH performance of the steering system.

[0032] S5: Benchmark Difference Calculation Module 33 calculates the performance change rate of the optimized model relative to the benchmark model; the formula for calculating the performance change rate is: ; In the formula, r is the rate of change of performance. To optimize the minimum dynamic stiffness of the model, This represents the minimum dynamic stiffness of the baseline model. S6: The curve comparison output module 41 generates HTML visualization files, and the data output module 42 outputs comparison images, bar charts, CSV structured tables, and filtered simulation data. It also supports download functionality, thus completing the result presentation and data output.

[0033] This application converts the displacement data after parsing the simulation result file into dynamic stiffness values; it supports user-defined frequency ranges, extracts the minimum value within the range, filters non-critical frequency band interference, and avoids errors caused by manually finding points in massive curves; it establishes a quantitative evaluation system for dynamic stiffness performance deviation based on a benchmark model, and automatically outputs the percentage change; it can export simulation result files containing only the set frequency range, reducing data storage and transfer pressure, simplifying hours of manual processing to seconds of automatic processing, and directly providing the percentage change in performance, bar charts, and HTML visualization files for intuitive display.

[0034] This application enables the screening and processing of CCB simulation data, achieving lightweight, one-stop visualization processing that supports incremental comparison of multiple schemes. This greatly reduces the operation of comparing different optimization models with the benchmark model, improves processing efficiency, and shortens the comparison analysis to the second level.

[0035] This application does not require the installation of large CAE software; comparison results can be viewed and report materials exported in any office environment via HTML.

[0036] This invention can also be applied to dynamic stiffness analysis tasks based on "origin excitation response". Origin excitation response is the origin dynamic stiffness response, which refers to the dynamic response generated when an excitation is applied at the same position on the structure and the dynamic response at that position is measured. It directly reflects the local dynamic stiffness characteristics of the structure at that point.

[0037] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this invention disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0038] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A CCB steering column mounting jog stiffness automatic processing and comparison system, characterized in that, include: Input layer (10) is used to import simulation result files in batches. One simulation result file is selected as the baseline model, and the remaining simulation result files are defined as optimization models respectively. The original simulation data of the baseline model and the optimization model are output accordingly. The analysis and conversion layer (20) forms a data transmission link with the input layer (10) to receive the original simulation data, identify the four mounting points of the CCB steering column, extract the displacement response values ​​of the four mounting points in the X, Y and Z directions, and convert the displacement response values ​​into the corresponding dynamic stiffness respectively. The logic calculation layer (30) forms a data transmission link with the parsing and conversion layer (20) to receive the dynamic stiffness data output by the parsing and conversion layer (20), filter the dynamic stiffness dataset within the preset frequency band, extract the minimum dynamic stiffness of the benchmark model and each optimized model respectively, and calculate the relative change rate of dynamic stiffness performance of each optimized model relative to the benchmark model based on the minimum dynamic stiffness. Interactive output layer (40) forms a data transmission link with the logical calculation layer (30) to visualize the differences in the dynamic stiffness minimum value and performance change rate of the dynamic stiffness dataset, benchmark model and each optimized model within the preset frequency band, and supports offline data download and storage.

2. The CCB steering column mounting jog stiffness automated processing and comparison system according to claim 1, characterized in that: The input layer (10) includes a file import module (11) and a model selection module (12). The file import module (11) is used to read simulation result files in batches. The model selection module (12) is used to complete the calibration of the benchmark model and the optimized model. The model selection module (12) is also used to output the original simulation data of the benchmark model and the optimized model.

3. The CCB steering column mounting jog stiffness automated processing and comparison system according to claim 2, characterized in that: The analytical conversion layer (20) includes a node identification module (21), a displacement data extraction module (22), and a dynamic stiffness conversion module (23). The node identification module (21) is used to identify the four mounting points of the CCB steering column. The displacement data extraction module (22) is used to extract the displacement response values ​​of the four mounting points in the X, Y, and Z directions. The dynamic stiffness conversion module (23) calculates the dynamic stiffness based on the extracted three-dimensional displacement response values.

4. The CCB steering column mounting jog stiffness automated processing and comparison system according to claim 3, characterized in that: The logic calculation layer (30) includes a dynamic frequency band filtering module (31), an extreme value extraction module (32), a benchmark difference calculation module (33), and an information output module (34). The dynamic frequency band filtering module (31) is used to filter dynamic stiffness data within a preset frequency band. The extreme value extraction module (32) is used to extract the minimum value of the filtered dynamic stiffness data. The benchmark difference calculation module (33) is used to calculate the performance change rate of the minimum dynamic stiffness of the optimized model relative to the minimum dynamic stiffness of the benchmark model. The information output module (34) outputs the filtered dynamic stiffness data, the minimum value of the filtered dynamic stiffness, and the performance change rate to the interactive output layer (40).

5. The CCB steering column mounting jog stiffness automatic processing and comparison system according to claim 4, characterized in that: The interactive output layer (40) includes a curve comparison output module (41) and a data output module (42). The curve comparison output module (41) receives the filtered dynamic stiffness data and displays the distribution curves of the minimum dynamic stiffness of the benchmark model and the optimized model in the same coordinate system. The data output module (42) generates a bar chart of the minimum dynamic stiffness in the optimized model and the benchmark model. The data output module (42) outputs a table based on the name of the steering column mounting point, the coordinates of the excitation point node, the number of the steering column mounting point, the displacement direction, the model name, the minimum dynamic stiffness, and the performance change rate corresponding to the minimum dynamic stiffness in the benchmark model and each optimized model, and displays it in conjunction with the minimum dynamic stiffness data in the bar chart.

6. A method for automatically processing and comparing the jogging stiffness of a CCB steering column mounting, applied to the automated processing and comparison system for the jogging stiffness of a CCB steering column mounting as described in any one of claims 1 to 5, characterized in that, Includes the following steps: S1: Import simulation result files in batches into the file import module (11), select one simulation result file as the baseline model in the model selection module (12), define the remaining simulation result files as the optimization models, and output the original simulation data of the baseline model and the optimization model accordingly; S2: The node identification module (21) receives the original simulation data and identifies the four mounting points of the steering column. The displacement data extraction module (22) extracts the displacement response values ​​of the four mounting points in the X, Y, and Z directions from the original simulation data according to the four identified mounting points. S3: Dynamic stiffness conversion module (23) calculates dynamic stiffness based on the extracted X, Y, and Z displacement response data respectively; S4: The dynamic frequency band filtering module (31) filters the dynamic stiffness data within the preset frequency band, and the extreme value extraction module (32) extracts the minimum value of the filtered dynamic stiffness data. S5: The benchmark difference calculation module (33) calculates the performance change rate of the minimum dynamic stiffness of the optimized model relative to the minimum dynamic stiffness of the benchmark model; S6: The curve comparison output module (41) generates an HTML visualization file, and the data output module (42) outputs comparison images, bar charts, CSV structured tables, and filtered simulation result data, thus completing the result presentation and data output.

7. The CCB steering column mounting jogging stiffness automatic processing and comparison method according to claim 6, characterized in that: In step S3, the formula for calculating dynamic stiffness is: ； In the formula, K is the dynamic stiffness of the mounting point, and U is the displacement response value in the corresponding direction.

8. In the CCB steering column mounting momentary stiffness automatic processing comparison method according to claim 6, the preset range in step S4 is 0Hz to 150Hz.

9. In the CCB steering column mounting momentary stiffness automatic processing comparison method according to claim 6, the performance change rate calculation formula in step S5 is: ； In the formula, r is the rate of change of performance. To optimize the minimum dynamic stiffness of the model, This represents the minimum dynamic stiffness of the baseline model.

Images