A method and system for determining automobile bumper parameters

Abstract

The present invention is applicable to the field of vehicle technology and provides a method and system for determining parameters of an automobile bumper, including the following steps: constructing three-dimensional simulation models of automobile bumpers with different curvature radii and the whole vehicle, dividing the three-dimensional simulation models into multiple units by using the finite element analysis method to simulate the stress distribution and deformation during the collision process; configuring collision parameters, where the collision parameters include collision speed, collision angle, and the colliding object; running simulation software to simulate the situation of bumpers with different curvature radii during the collision process, recording the collision simulation results, and the collision simulation results include the deformation situation of the bumper and energy absorption information; preliminarily determining the curvature radius range of the automobile bumper based on the collision simulation results; determining the measurement accuracy and measurement stability of the radar in the automobile bumper within the curvature radius range, and determining the optimal curvature radius range. The present invention ensures the normal operation of the radar sensor while guaranteeing the collision performance of the bumper.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and particularly to a method and system for determining parameters of an automobile bumper. Background Technique

[0002] With the rapid development of the automobile industry and the increasing requirements of consumers for the safety performance of automobiles, as an important part of the vehicle passive safety system, the design and optimization of automobile bumpers have become particularly important. Traditional bumper designs mainly rely on experience and physical collision tests. This method not only has high costs and long cycles, but also is difficult to comprehensively cover various collision conditions, restricting the flexibility and accuracy of bumper designs.

[0003] In recent years, with the rapid development of computer technology and simulation software, three-dimensional simulation technology has gradually become an important means for automobile design and safety assessment. By constructing a high-precision three-dimensional simulation model, key parameters such as stress distribution, deformation conditions, and energy absorption during the collision process of an automobile can be simulated, providing strong support for the design and optimization of bumpers.

[0004] However, in practical applications, the design of automobile bumpers is not only limited to the optimization of strength and energy absorption performance, but also the compatibility with other vehicle systems needs to be considered. Especially with the popularization of autonomous driving technology, the integration and mutual interference problems between bumpers and sensors such as radars have become increasingly prominent. The curvature radius of the bumper not only affects its own collision performance, but may also have a significant impact on the measurement accuracy and measurement stability of the radar, thereby affecting the reliability and safety of the autonomous driving system. Therefore, a method and system for determining parameters of an automobile bumper are needed to solve the above problems. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a method and system for determining parameters of an automobile bumper to solve the problems existing in the above background technique.

[0006] The present invention is implemented as follows. A method for determining parameters of an automobile bumper, the method comprising the following steps:

[0007] Construct three-dimensional simulation models of automobile bumpers with different curvature radii and the entire vehicle, and use the finite element analysis method to divide the three-dimensional simulation models into multiple units to simulate the stress distribution and deformation during the collision process;

[0008] Configure collision parameters, where the collision parameters include collision speed, collision angle, and collision object;

[0009] Run the simulation software to simulate the situation of bumpers with different curvature radii during the collision process, and record the collision simulation results. The collision simulation results include the deformation situation of the bumper and energy absorption information;

[0010] Preliminarily determine the curvature radius range of the automotive bumper based on the collision simulation results;

[0011] Determine the measurement accuracy and measurement stability of the radar in the automotive bumper within the curvature radius range, and determine the optimal curvature radius range.

[0012] As a further solution of the present invention: The step of recording the collision simulation results specifically includes:

[0013] Record the deformation conditions of the bumper during the collision, where the deformation conditions include the maximum deformation amount, deformation speed, and deformation mode;

[0014] Calculate the degree of deformation based on the maximum deformation amount, and the degree of deformation is equal to the ratio of the maximum deformation amount to the total length of the bumper;

[0015] Record the energy absorption information of the bumper during the collision, where the energy absorption information includes the total absorbed energy and the energy absorption rate;

[0016] Calculate the energy absorption rate based on the total absorbed energy, and the energy absorption rate is equal to the ratio of the total absorbed energy to the total collision energy.

[0017] As a further solution of the present invention: The step of preliminarily determining the curvature radius range of the automotive bumper based on the collision simulation results specifically includes:

[0018] Train a regression model based on historical collision data, where the independent variable of the regression model is the curvature radius, and the dependent variables are the deformation speed, degree of deformation, energy absorption rate, and energy absorption ratio;

[0019] Group the collision simulation results according to the curvature radius, and perform variance analysis. Through the variance analysis results, determine the curvature radius range.

[0020] As a further solution of the present invention: The step of determining the measurement accuracy and measurement stability of the radar in the automotive bumper within the curvature radius range specifically includes:

[0021] Record the measurement values of the radar sensor at different distances and angles, and record the measurement values under different driving scenarios and obstacles;

[0022] Compare the measurement values with the corresponding standard values to obtain the measurement accuracy of the radar sensor at different curvature radii;

[0023] Record the measurement values of the radar sensor under different environmental conditions, and analyze the change trend of the measurement values; Record the measurement values of the radar sensor during long-term operation to determine the drift situation and error accumulation;

[0024] The measurement stability of the radar sensor at different curvature radii is obtained based on the change trend, drift condition, and error accumulation.

[0025] As a further solution of the present invention: The step of determining the optimal curvature radius range specifically includes:

[0026] Display the measurement accuracy and measurement stability of the radar at different curvature radii through a trend chart;

[0027] Add an evaluation standard curve for measurement accuracy and measurement stability in the trend chart, determine the curvature radius that conforms to the evaluation standard curve, and obtain the optimal curvature radius range.

[0028] Another object of the present invention is to provide a system for determining automobile bumper parameters, and the system includes:

[0029] A simulation model construction module, which is used to construct three-dimensional simulation models of automobile bumpers and the whole vehicle with different curvature radii, and divide the three-dimensional simulation models into multiple units by using the finite element analysis method to simulate the stress distribution and deformation during the collision process;

[0030] A collision parameter configuration module, which is used to configure collision parameters, and the collision parameters include collision speed, collision angle, and collision object;

[0031] A collision simulation result module, which is used to run simulation software, simulate the situation of bumpers with different curvature radii during the collision process, and record the collision simulation results, and the collision simulation results include the deformation situation and energy absorption information of the bumper;

[0032] A curvature radius range module, which is used to preliminarily determine the curvature radius range of the automobile bumper based on the collision simulation results;

[0033] An optimal curvature radius module, which is used to determine the measurement accuracy and measurement stability of the radar in the automobile bumper within the curvature radius range, and determine the optimal curvature radius range.

[0034] As a further solution of the present invention: The collision simulation result module includes:

[0035] A deformation situation recording unit, which is used to record the deformation situation of the bumper during the collision process, and the deformation situation includes the maximum deformation amount, deformation speed, and deformation mode;

[0036] A deformation degree calculation unit, which is used to calculate the deformation degree according to the maximum deformation amount, and the deformation degree is equal to the ratio of the maximum deformation amount to the total length of the bumper;

[0037] An energy absorption information unit, which is used to record the energy absorption information of the bumper during the collision process, and the energy absorption information includes the total absorbed energy and the energy absorption rate;

[0038] An energy absorption rate calculation unit, configured to calculate an energy absorption rate according to the total absorbed energy, where the energy absorption rate is equal to the ratio of the total absorbed energy to the total collision energy.

[0039] As a further solution of the present invention: the curvature radius range module includes:

[0040] A regression model training unit, configured to train a regression model based on historical collision data, where the independent variable of the regression model is the curvature radius, and the dependent variables are the deformation speed, deformation degree, energy absorption rate, and energy absorption rate;

[0041] An analysis of variance unit, configured to group the collision simulation results according to the curvature radius and perform an analysis of variance, and determine the curvature radius range through the analysis of variance results.

[0042] As a further solution of the present invention: the optimal curvature radius module includes:

[0043] A first measurement value recording unit, configured to record the measurement values of the radar sensor at different distances and angles, and record the measurement values under different driving scenarios and obstacles;

[0044] A measurement accuracy determination unit, configured to compare the measurement values with the corresponding standard values to obtain the measurement accuracy of the radar sensor at different curvature radii;

[0045] A second measurement value recording unit, configured to record the measurement values of the radar sensor under different environmental conditions and analyze the change trend of the measurement values; record the measurement values of the radar sensor during long-term operation to determine the drift situation and error accumulation;

[0046] A measurement stability determination unit, configured to obtain the measurement stability of the radar sensor at different curvature radii according to the change trend, drift situation, and error accumulation.

[0047] As a further solution of the present invention: the optimal curvature radius module further includes:

[0048] A trend graph display unit, configured to display the measurement accuracy and measurement stability of the radar at different curvature radii through a trend graph;

[0049] An optimal curvature radius unit, configured to add an evaluation standard curve of the measurement accuracy and measurement stability to the trend graph, determine the curvature radius that meets the evaluation standard curve, and obtain the optimal curvature radius range.

[0050] Compared with the prior art, the beneficial effects of the present invention are:

[0051] The present invention constructs three-dimensional simulation models of automobile bumpers with different radii of curvature and the entire vehicle, and uses the finite element analysis method to simulate the collision process. It can not only accurately evaluate the collision performance of the bumper, but also preliminarily determine the range of the radius of curvature of the bumper based on the collision simulation results. Further, considering the influence of the radius of curvature of the bumper on the radar measurement accuracy and stability, through actual measurement and evaluation, the optimal range of the radius of curvature is determined, so as to ensure the normal operation of sensors such as radar while ensuring the collision performance of the bumper. This method not only improves the scientificity and accuracy of bumper design, but also provides a strong guarantee for the safety and reliability of autonomous vehicles. Description of the Drawings

[0052] Figure 1 It is a flowchart of a method for determining automobile bumper parameters.

[0053] Figure 2 It is a flowchart of recording the collision simulation results in a method for determining automobile bumper parameters.

[0054] Figure 3 It is a flowchart of determining the range of the radius of curvature of an automobile bumper in a method for determining automobile bumper parameters.

[0055] Figure 4 It is a flowchart of determining the measurement accuracy and measurement stability in a method for determining automobile bumper parameters.

[0056] Figure 5 It is a flowchart of determining the optimal range of the radius of curvature in a method for determining automobile bumper parameters.

[0057] Figure 6 It is a schematic structural diagram of a system for determining automobile bumper parameters. Detailed Embodiments

[0058] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and specific embodiments. 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.

[0059] The following describes the specific implementation of the present invention in detail with reference to specific embodiments.

[0060] As Figure 1 shown, an embodiment of the present invention provides a method for determining automobile bumper parameters, and the method includes the following steps:

[0061] S100, construct three-dimensional simulation models of automobile bumpers with different radii of curvature and the entire vehicle, and use the finite element analysis method to divide the three-dimensional simulation models into multiple units to simulate the stress distribution and deformation during the collision process;

[0062] S200, Configure the collision parameters, where the collision parameters include the collision speed, collision angle, and the colliding object;

[0063] S300, Run the simulation software to simulate the situation of bumpers with different curvature radii during the collision process, and record the collision simulation results, where the collision simulation results include the deformation of the bumper and the energy absorption information;

[0064] S400, Based on the collision simulation results, preliminarily determine the range of the curvature radius of the automotive bumper;

[0065] S500, Determine the measurement accuracy and measurement stability of the radar in the automotive bumpers within the range of the curvature radius, and determine the optimal range of the curvature radius.

[0066] It should be noted that with the rapid development of computer technology and simulation software, three-dimensional simulation technology has gradually become an important means for automotive design and safety assessment. By constructing a high-precision three-dimensional simulation model, key parameters such as stress distribution, deformation, and energy absorption during the collision of the vehicle can be simulated, providing strong support for the design and optimization of the bumper. However, in practical applications, the design of automotive bumpers is not only limited to the optimization of strength and energy absorption performance, but also needs to consider the compatibility with other vehicle systems. Especially with the popularization of autonomous driving technology, the integration and mutual interference issues between the bumper and sensors such as radar have become increasingly prominent. The curvature radius of the bumper not only affects its own collision performance, but may also have a significant impact on the measurement accuracy and measurement stability of the radar, thereby affecting the reliability and safety of the autonomous driving system.

[0067] In the embodiments of the present invention, first, a high-precision CAD software (such as SolidWorks, CATIA, etc.) will be used to construct three-dimensional simulation models of automotive bumpers with different curvature radii and the entire vehicle. The entire vehicle model should consider factors such as the body structure, suspension system, tires, and chassis to simulate a real collision environment. Then, the finite element analysis (FEA) method is used to divide the three-dimensional simulation model into multiple small units to accurately simulate the stress distribution and deformation during the collision. Then, the collision parameters need to be configured. The collision parameters include the collision speed, collision angle, and the colliding object. According to industry standards or regulatory requirements, multiple speed levels (such as 50 km / h, 60 km / h, etc.) are set for simulation. The collision angle needs to consider various angles such as frontal collision, side collision, and oblique collision to comprehensively evaluate the performance of the bumper; Colliding objects with different masses and stiffnesses (such as rigid barriers, deformable barriers, etc.) are used to simulate different types of collision scenarios.

[0068] Next, run simulation software (such as LS-DYNA, PAM-CRASH, etc.) to simulate the situation of bumpers with different curvature radii during the collision process, record the collision simulation results. The collision simulation results include the deformation situation and energy absorption information of the bumper. Based on the collision simulation results, preliminarily determine the curvature radius range of the automotive bumper. Here, use statistical analysis methods (such as regression analysis, variance analysis, etc.) to analyze the deformation situation and energy absorption information of the bumper under different curvature radii. According to the analysis results, preliminarily determine the curvature radius range that meets the collision performance requirements. Next, it is necessary to install a radar sensor on the bumper within the curvature radius range and conduct static and dynamic tests to obtain the measurement accuracy and measurement stability of the radar in the automotive bumper, and then determine the optimal curvature radius range. In this way, ensure that the measurement accuracy and measurement stability of the radar meet the requirements.

[0069] such as Figure 2 As shown in the figure, as a preferred embodiment of the present invention, the step of recording the collision simulation results specifically includes:

[0070] S301, record the deformation situation of the bumper during the collision process. The deformation situation includes the maximum deformation amount, deformation speed, and deformation mode;

[0071] S302, calculate the deformation degree according to the maximum deformation amount. The deformation degree is equal to the ratio of the maximum deformation amount to the total length of the bumper;

[0072] S303, record the energy absorption information of the bumper during the collision process. The energy absorption information includes the total absorbed energy and the energy absorption rate;

[0073] S304, calculate the energy absorption rate according to the total absorbed energy. The energy absorption rate is equal to the ratio of the total absorbed energy to the total collision energy.

[0074] Specifically, to record the deformation situation of the bumper during the collision process, where the deformation situation includes the maximum deformation amount, deformation speed, and deformation mode, the specific steps are as follows:

[0075] Judge whether the input maximum deformation amount is negative. If the maximum deformation amount is negative, stop the operation;

[0076] Judge whether the total length of the input bumper is positive. If the total length of the bumper is non-positive, stop the operation;

[0077] Verify whether the maximum deformation amount exceeds the total length of the bumper. If the maximum deformation amount is greater than the total length of the bumper, stop the operation;

[0078] After all data verification checks pass, use the maximum deformation amount as the numerator and the total length of the bumper as the denominator to perform a division operation to obtain the deformation degree value of the bumper;

[0079] Set a warning threshold for the degree of deformation;

[0080] Judge the deformation degree value of the bumper according to the warning threshold of the deformation degree;

[0081] If the deformation degree value is greater than the preset warning threshold, record the current deformation situation of the bumper and generate a warning message;

[0082] If the deformation degree value is less than or equal to the preset warning threshold, record the current deformation situation of the bumper and generate information indicating that the deformation degree is within the normal range.

[0083] In the embodiment of the present invention, it is necessary to record the deformation situation of the bumper during the collision. The deformation situation includes the maximum deformation amount, deformation speed, and deformation mode. The deformation speed refers to the change amount of the deformation degree per unit time, and the deformation mode refers to the morphological changes that occur when the material or structure is subjected to an external force, including axial deformation, tangential deformation, etc. It is also necessary to calculate the deformation degree according to the maximum deformation amount, and the deformation degree is equal to the ratio of the maximum deformation amount to the total length of the bumper. At the same time, it is also necessary to record the energy absorption information of the bumper during the collision. The energy absorption information includes the total absorbed energy and the energy absorption rate. The total absorbed energy refers to the total energy absorbed by the bumper structure during the entire collision process, and the energy absorption rate refers to the energy absorbed by the bumper structure per unit time. It is also necessary to calculate the energy absorption rate according to the total absorbed energy, and the energy absorption rate is equal to the ratio of the total absorbed energy to the total collision energy.

[0084] As Figure 3 shown, as a preferred embodiment of the present invention, the step of preliminarily determining the curvature radius range of the automotive bumper based on the collision simulation results specifically includes:

[0085] S401, train a regression model based on historical collision data. The independent variable of the regression model is the curvature radius, and the dependent variables are the deformation speed, deformation degree, energy absorption rate, and energy absorption ratio;

[0086] S402, group the collision simulation results according to the curvature radius and perform variance analysis. Determine the curvature radius range through the variance analysis results.

[0087] Specifically, group the collision simulation results according to the curvature radius and perform variance analysis. Determine the curvature radius range through the variance analysis results. The specific steps are as follows:

[0088] Extract the deformation degree data from the collision simulation results;

[0089] Group the collision simulation results according to the curvature radius to obtain a curvature radius array;

[0090] Convert the curvature radius array into a two-dimensional structure to obtain the curvature radius;

[0091] Use the curvature radius as the independent variable and the deformation degree data as the dependent variable, and input them into the linear regression model for training;

[0092] The linear regression model finds the best fit line by the least squares method to minimize the sum of the squared errors between the predicted values and the true values of the deformation degree data;

[0093] Group the deformation degree data according to the unique values of the curvature radius. Each group corresponds to a specific curvature radius, and all the deformation degree data under the curvature radius are included in each group;

[0094] Calculate the mean and variance of the deformation degree data in each group. Based on the mean and variance of the deformation degree data in each group, obtain the between-group variance and within-group variance, and then calculate the F statistic through the ratio of the between-group variance to the within-group variance, and further obtain the P value through the F statistic;

[0095] Judge the P value according to the significance level value;

[0096] If the P value is less than the significance level value, it is determined that the influence of different curvature radii on the deformation degree data is significant, and the curvature radius is used as an effective factor affecting the deformation degree data;

[0097] Subsequently, take the minimum and maximum values in the current curvature radius data group as the optimal curvature radius range;

[0098] If the P value is greater than or equal to the significance level value, it is determined that the influence of different curvature radii on the deformation data is not significant and return a null value.

[0099] Furthermore, the linear regression model finds the best fit line by the least squares method to minimize the sum of the squared errors between the predicted values and the true values of the deformation degree data. The specific steps are as follows:

[0100] Judge whether the lengths of the curvature radius array and the deformation degree data group are consistent. If the lengths are inconsistent, stop the calculation;

[0101] Convert the curvature radius and the deformation degree data into NumPy arrays;

[0102] Calculate the mean of the curvature radius array and the mean of the deformation degree data;

[0103] Based on the curvature radius, the mean of the curvature radius array, the deformation degree data, and the mean of the deformation degree data, calculate the covariance between the curvature radius and the deformation degree data;

[0104] Calculate the variance of the curvature radius through the curvature radius and the mean of the curvature radius array;

[0105] Divide the covariance between the radius of curvature and the deformation degree data by the variance of the radius of curvature to obtain the average change in the deformation degree;

[0106] Based on the average change in the deformation degree, the mean of the radius of curvature array, and the mean of the deformation degree data, calculate the theoretical value of the deformation degree;

[0107] Based on the average change in the deformation degree, the radius of curvature, and the theoretical value of the deformation degree, use the fitting straight line equation to calculate the predicted value of the deformation degree data;

[0108] Subtract the predicted value of the deformation degree data from the actual deformation degree data to obtain the residual value of the deformation degree data;

[0109] Square the residual value of each deformation degree data and then sum them to obtain the sum of squared errors of the deformation degree data;

[0110] Minimize the sum of squared errors of the deformation degree data by the least squares method;

[0111] Draw a fitting straight line according to the sum of squared errors of the deformation degree data.

[0112] In the embodiment of the present invention, in order to determine a suitable range of the radius of curvature, it is necessary to train a regression model in advance according to historical collision data. The independent variable of the regression model is the radius of curvature, and the dependent variables are the deformation speed, the deformation degree, the energy absorption rate, and the energy absorption efficiency, so as to automatically analyze the deformation situation and energy absorption information of the bumper under different radii of curvature. Then, group the collision simulation results according to the radius of curvature and perform variance analysis. Through the variance analysis results, judge whether there are significant differences in the collision performance of the bumper under different radii of curvature, and determine which radii of curvature have better deformation conditions and stronger energy absorption capabilities of the bumper, as well as the specific relationships between these performances and the radius of curvature, so as to determine a suitable range of the radius of curvature.

[0113] As Figure 4 shown, as a preferred embodiment of the present invention, the steps of determining the measurement accuracy and measurement stability of the radar in the automobile bumper within the range of the radius of curvature specifically include:

[0114] S501, record the measurement values of the radar sensor at different distances and angles, and record the measurement values under different driving scenarios and obstacles;

[0115] S502, compare the measurement values with the corresponding standard values to obtain the measurement accuracy of the radar sensor under different radii of curvature;

[0116] S503. Record the measured values of the radar sensor under different environmental conditions and analyze the changing trends of the measured values; record the measured values of the radar sensor during long-term operation to determine the drift situation and error accumulation;

[0117] S504. Obtain the measurement stability of the radar sensor at different curvature radii based on the changing trends, drift situations, and error accumulations.

[0118] Specifically, compare the measured values with the corresponding standard values to obtain the measurement accuracy of the radar sensor at different curvature radii. The specific steps are as follows:

[0119] Verify the measured values and the standard values, where each measured value corresponds to a unique standard value;

[0120] For each pair of measured values and standard values, calculate the absolute difference;

[0121] Statistically record all the absolute differences in an absolute difference array. The length of the absolute difference array is the same as the length of the measured values or the standard values, and each element in the absolute difference array corresponds to the error value of a measured value;

[0122] Add up all the elements in the absolute difference array and divide by the total number of elements to obtain the average value of the errors;

[0123] Find the maximum value from the standard value array as the maximum standard value;

[0124] Divide the average value of the errors by the maximum standard value to obtain the error ratio;

[0125] Based on the error ratio, through normalization calculation, obtain the measurement accuracy;

[0126] The measurement accuracy needs to be between 0 and 1, and the higher the value, the more accurate the measurement result;

[0127] If the measurement accuracy is close to 1, it means that the measurement result of the radar sensor is almost the same as the standard;

[0128] If the measurement accuracy is close to 0, it means that the measurement result of the radar sensor deviates greatly from the standard.

[0129] In the embodiments of the present invention, static measurement experiments and dynamic measurement experiments will be conducted. In the static measurement experiments, the measurement values of the radar sensor at different distances and angles will be recorded. In the dynamic measurement experiments, the measurement values under different driving scenarios and obstacles will be recorded. Then, all the measurement values will be compared with the corresponding standard values to obtain the measurement accuracy of the radar sensor at different curvature radii. Here, statistical analysis methods (such as mean, variance, standard deviation, etc.) can be used to process the measurement data to determine the measurement accuracy. When evaluating the measurement stability, the measurement values of the radar sensor under different environmental conditions (such as temperature, humidity, vibration, etc.) will be recorded, and the change trend of the measurement values will be analyzed; the measurement values of the radar sensor during long-term operation will be recorded to determine the drift situation and error accumulation. Finally, based on the change trend, drift situation, and error accumulation, the measurement stability of the radar sensor at different curvature radii will be obtained.

[0130] As Figure 5 shown, as a preferred embodiment of the present invention, the steps of determining the optimal curvature radius range specifically include:

[0131] S505, displaying the measurement accuracy and measurement stability of the radar at different curvature radii through a trend chart;

[0132] S506, adding an evaluation standard curve for measurement accuracy and measurement stability in the trend chart, determining the curvature radius that conforms to the evaluation standard curve, and obtaining the optimal curvature radius range.

[0133] In the embodiments of the present invention, finally, the trend curves of the measurement accuracy and measurement stability of the radar at different curvature radii will be displayed through a trend chart, and then an evaluation standard curve for measurement accuracy and measurement stability will be added to the trend chart. By determining the curvature radius that conforms to the evaluation standard curve, the optimal curvature radius range can be obtained, providing strong support for the design and manufacture of automotive bumpers.

[0134] As Figure 6 shown, the embodiments of the present invention also provide an automotive bumper parameter determination system, and the system includes:

[0135] A simulation model construction module 100, which is used to construct three-dimensional simulation models of automotive bumpers and the whole vehicle with different curvature radii, and divide the three-dimensional simulation models into multiple units by using the finite element analysis method to simulate the stress distribution and deformation during the collision process;

[0136] A collision parameter configuration module 200, which is used to configure collision parameters, and the collision parameters include collision speed, collision angle, and collision object;

[0137] The collision simulation result module 300 is used to run simulation software to simulate the situation of bumpers with different curvature radii during a collision, and record the collision simulation results, where the collision simulation results include the deformation situation of the bumper and energy absorption information;

[0138] The curvature radius range module 400 is used to preliminarily determine the curvature radius range of the automotive bumper based on the collision simulation results;

[0139] The optimal curvature radius module 500 is used to determine the measurement accuracy and measurement stability of the radar in the automotive bumper within the curvature radius range, and determine the optimal curvature radius range.

[0140] As a preferred embodiment of the present invention, the collision simulation result module 300 includes:

[0141] The deformation situation recording unit is used to record the deformation situation of the bumper during the collision, where the deformation situation includes the maximum deformation amount, deformation speed, and deformation mode;

[0142] The deformation degree calculation unit is used to calculate the deformation degree according to the maximum deformation amount, and the deformation degree is equal to the ratio of the maximum deformation amount to the total length of the bumper;

[0143] The energy absorption information unit is used to record the energy absorption information of the bumper during the collision, where the energy absorption information includes the total absorbed energy and the energy absorption rate;

[0144] The energy absorption rate calculation unit is used to calculate the energy absorption rate according to the total absorbed energy, and the energy absorption rate is equal to the ratio of the total absorbed energy to the total collision energy.

[0145] As a preferred embodiment of the present invention, the curvature radius range module 400 includes:

[0146] The regression model training unit is used to train a regression model based on historical collision data. The independent variable of the regression model is the curvature radius, and the dependent variables are the deformation speed, deformation degree, energy absorption rate, and energy absorption ratio;

[0147] The variance analysis unit is used to group the collision simulation results according to the curvature radius and perform variance analysis. Through the variance analysis results, the curvature radius range is determined.

[0148] As a preferred embodiment of the present invention, the optimal curvature radius module 500 includes:

[0149] The first measurement value recording unit is used to record the measurement values of the radar sensor at different distances and angles, and record the measurement values under different driving scenarios and obstacles;

[0150] A measurement accuracy determination unit for comparing the measurement value with the corresponding standard value to obtain the measurement accuracy of the radar sensor at different curvature radii;

[0151] A second measurement value recording unit for recording the measurement values of the radar sensor under different environmental conditions and analyzing the variation trend of the measurement values; recording the measurement values of the radar sensor during long-term operation to determine the drift situation and error accumulation;

[0152] A measurement stability determination unit for obtaining the measurement stability of the radar sensor at different curvature radii based on the variation trend, drift situation, and error accumulation.

[0153] As a preferred embodiment of the present invention, the optimal curvature radius module 500 further includes:

[0154] A trend graph display unit for displaying the measurement accuracy and measurement stability of the radar at different curvature radii through a trend graph;

[0155] An optimal curvature radius unit for adding an evaluation standard curve of measurement accuracy and measurement stability in the trend graph, determining the curvature radius that conforms to the evaluation standard curve, and obtaining the optimal curvature radius range.

[0156] The above only describes the preferred embodiments of the present invention in detail and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0157] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless clearly stated in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily need to be executed at the same moment, but can be executed at different moments. The execution order of these sub-steps or stages does not necessarily need to be sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0158] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0159] After considering the specification and the disclosure of the embodiments, those skilled in the art will readily conceive of other embodiments of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.

Claims

1. A method for determining automobile bumper parameters, characterized in that, The method includes the following steps: Construct three-dimensional simulation models of automobile bumpers with different radii of curvature and the whole vehicle, and divide the three-dimensional simulation models into multiple elements by using the finite element analysis method to simulate the stress distribution and deformation during the collision process; Configure collision parameters, where the collision parameters include collision speed, collision angle, and collision object; Run the simulation software to simulate the situation of bumpers with different radii of curvature during the collision process, record the collision simulation results, and the collision simulation results include the deformation situation and energy absorption information of the bumper; Preliminarily determine the range of the radius of curvature of the automobile bumper based on the collision simulation results; Determine the measurement accuracy and measurement stability of the radar in the automobile bumper within the range of the radius of curvature, and determine the optimal range of the radius of curvature; Among them, the step of recording the collision simulation results specifically includes: Record the deformation situation of the bumper during the collision process, and the deformation situation includes the maximum deformation amount, deformation speed, and deformation mode; Calculate the degree of deformation according to the maximum deformation amount, and the degree of deformation is equal to the ratio of the maximum deformation amount to the total length of the bumper; Record the energy absorption information of the bumper during the collision process, and the energy absorption information includes the total absorbed energy and the energy absorption rate; Calculate the energy absorption rate according to the total absorbed energy, and the energy absorption rate is equal to the ratio of the total absorbed energy to the total collision energy.

2. The method for determining the parameters of an automobile bumper according to claim 1, characterized in that, Record the deformation situation of the bumper during the collision process, and the deformation situation includes the maximum deformation amount, deformation speed, and deformation mode. The specific steps are as follows: Judge whether the input maximum deformation amount is negative. If the maximum deformation amount is negative, stop the operation; Judge whether the total length of the input bumper is positive. If the total length of the bumper is non-positive, stop the operation; Verify whether the maximum deformation amount exceeds the total length of the bumper. If the maximum deformation amount is greater than the total length of the bumper, stop the operation; After all data verification checks pass, use the maximum deformation amount as the numerator and the total length of the bumper as the denominator to perform a division operation to obtain the deformation degree value of the bumper; Set the warning threshold of the deformation degree; Judge the deformation degree value of the bumper according to the warning threshold of the deformation degree; If the deformation degree value is greater than the preset warning threshold, record the deformation situation of the current bumper and generate a warning message; If the deformation degree value is less than or equal to the preset warning threshold, record the deformation situation of the current bumper and generate information indicating that the deformation degree is within the normal range.

3. The method for determining the parameters of an automobile bumper according to claim 2, characterized in that, The step of preliminarily determining the range of the radius of curvature of the automobile bumper based on the collision simulation results specifically includes: Train a regression model based on historical collision data. The independent variable of the regression model is the radius of curvature, and the dependent variables are the deformation speed, degree of deformation, energy absorption rate, and energy absorption ratio; Group the collision simulation results according to the radius of curvature and perform variance analysis. Through the variance analysis results, determine the range of the radius of curvature.

4. The method for determining the parameters of an automotive bumper according to claim 3, characterized in that, Group the collision simulation results according to the radius of curvature and perform variance analysis. Through the variance analysis results, determine the range of the radius of curvature. The specific steps are as follows: Extract the deformation degree data from the collision simulation results; Group the collision simulation results according to the radius of curvature to obtain an array of radii of curvature; Convert the curvature radius array into a two-dimensional structure to obtain the curvature radius; Use the curvature radius as the independent variable and the deformation degree data as the dependent variable, and input them into a linear regression model for training; The linear regression model finds the best fitting line through the least squares method to minimize the sum of squared errors between the predicted values and the true values of the deformation degree data; Group the deformation degree data according to the unique values of the curvature radius. Each group corresponds to a specific curvature radius, and all deformation degree data under the curvature radius are included in each group; Calculate the mean and variance of the deformation degree data within each group. Based on the mean and variance of the deformation degree data within each group, obtain the between-group variance and within-group variance, and then calculate the F statistic through the ratio of the between-group variance to the within-group variance, and further obtain the P value through the F statistic; Judge the P value according to the significance level value; If the P value is less than the significance level value, it is determined that the influence of different curvature radii on the deformation degree data is significant, and the curvature radius is used as an effective factor affecting the deformation degree data; Subsequently, take the minimum and maximum values in the current curvature radius data group as the optimal curvature radius range; If the P value is greater than or equal to the significance level value, it is determined that the influence of different curvature radii on the deformation data is not significant and return a null value.

5. The method for determining the parameters of an automotive bumper according to claim 4, wherein The linear regression model finds the best fitting line through the least squares method to minimize the sum of squared errors between the predicted values and the true values of the deformation degree data. The specific steps are as follows: Judge whether the lengths of the curvature radius array and the deformation degree data group are consistent. If the lengths are inconsistent, stop the calculation; Convert the curvature radius and the deformation degree data into NumPy arrays; Calculate the mean of the curvature radius array and the mean of the deformation degree data; Based on the curvature radius, the mean of the curvature radius array, the deformation degree data, and the mean of the deformation degree data, calculate the covariance between the curvature radius and the deformation degree data; Calculate the variance of the curvature radius through the curvature radius and the mean of the curvature radius array; Divide the covariance between the curvature radius and the deformation degree data by the variance of the curvature radius to obtain the average change amount of the deformation degree; Based on the average change amount of the deformation degree, the mean of the curvature radius array, and the mean of the deformation degree data, calculate the theoretical value of the deformation degree; Based on the average change amount of the deformation degree, the curvature radius, and the theoretical value of the deformation degree, use the fitting line equation to calculate the predicted value of the deformation degree data; Subtract the predicted value of the deformation degree data from the true deformation degree data to obtain the residual value of the deformation degree data; Square each residual value of the deformation degree data and then sum them to obtain the sum of squared errors of the deformation degree data; Use the least squares method to minimize the sum of squared errors of the deformation degree data; Draw the fitting line according to the sum of squared errors of the deformation degree data.

6. The method for determining the parameters of an automotive bumper according to claim 5, wherein The steps for determining the measurement accuracy and measurement stability of the radar in the automobile bumper within the curvature radius range specifically include: Record the measurement values of the radar sensor at different distances and angles, and record the measurement values in different driving scenarios and in the presence of obstacles; Compare the measured values with the corresponding standard values to obtain the measurement accuracy of the radar sensor at different curvature radii; Record the measured values of the radar sensor under different environmental conditions and analyze the change trend of the measured values; Record the measured values of the radar sensor during long-term operation to determine the drift situation and error accumulation; Obtain the measurement stability of the radar sensor at different curvature radii based on the change trend, drift situation, and error accumulation.

7. The method for determining the parameters of an automobile bumper according to claim 6, characterized in that, Compare the measured values with the corresponding standard values to obtain the measurement accuracy of the radar sensor at different curvature radii. The specific steps are as follows: Verify the measured values and the standard values, where each measured value corresponds to a unique standard value; For each pair of measured values and standard values, calculate the absolute difference; Statistically record all the absolute differences in an absolute difference array. The length of the absolute difference array is the same as the length of the measured values or the standard values, and each element in the absolute difference array corresponds to the error value of a measured value; Add up all the elements in the absolute difference array and divide by the total number of elements to obtain the average value of the errors; Find the maximum value from the standard value array as the maximum standard value; Divide the average value of the errors by the maximum standard value to obtain the error ratio; Based on the error ratio, through normalization calculation, obtain the measurement accuracy.

8. The method for determining the parameters of an automotive bumper according to claim 7, wherein The steps for determining the optimal curvature radius range specifically include: Display the measurement accuracy and measurement stability of the radar at different curvature radii through a trend chart; Add an evaluation standard curve for measurement accuracy and measurement stability to the trend chart, determine the curvature radii that meet the evaluation standard curve, and obtain the optimal curvature radius range.

9. An automobile bumper parameter determination system, characterized in that, The system applies the method for determining automobile bumper parameters described in any one of claims 1 to 8 above. The system includes: A simulation model construction module for constructing three-dimensional simulation models of automobile bumpers and the whole vehicle with different curvature radii, and dividing the three-dimensional simulation models into multiple units using the finite element analysis method to simulate the stress distribution and deformation during the collision process; A collision parameter configuration module for configuring collision parameters, where the collision parameters include collision speed, collision angle, and collision object; A collision simulation result module for running simulation software to simulate the situation of bumpers with different curvature radii during the collision process, and recording the collision simulation results, where the collision simulation results include the deformation situation and energy absorption information of the bumper; A curvature radius range module for preliminarily determining the curvature radius range of the automobile bumper based on the collision simulation results; An optimal curvature radius module for determining the measurement accuracy and measurement stability of the radar in the automobile bumper within the curvature radius range, and determining the optimal curvature radius range.

10. The automotive bumper parameter determination system according to claim 9, wherein The collision simulation result module includes: A deformation situation recording unit for recording the deformation situation of the bumper during the collision process, where the deformation situation includes the maximum deformation amount, deformation speed, and deformation mode; A deformation degree calculation unit for calculating the deformation degree based on the maximum deformation amount, where the deformation degree is equal to the ratio of the maximum deformation amount to the total length of the bumper; An energy absorption information unit for recording the energy absorption information of the bumper during the collision process, where the energy absorption information includes the total absorbed energy and the energy absorption rate; An energy absorption rate calculation unit is configured to calculate an energy absorption rate according to the total absorbed energy, where the energy absorption rate is equal to the ratio of the total absorbed energy to the total collision energy.

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