CN115017778A - Precision evaluation method for automobile durable virtual load - Google Patents
Precision evaluation method for automobile durable virtual load Download PDFInfo
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- CN115017778A CN115017778A CN202210838057.3A CN202210838057A CN115017778A CN 115017778 A CN115017778 A CN 115017778A CN 202210838057 A CN202210838057 A CN 202210838057A CN 115017778 A CN115017778 A CN 115017778A
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Abstract
The invention discloses a precision evaluation method for an automobile durable virtual load, which comprises the following steps: building a simulation environment, setting a simulation vehicle speed, evaluating the virtual load precision, and selecting X, Y, Z three-direction force values of a wheel center in virtual load data as a comparison channel; and carrying out pseudo-damage calculation with X, Y, Z force values of the wheel center obtained by the test of the real endurance test field, and respectively obtaining a vertical pseudo-damage ratio, a longitudinal pseudo-damage ratio and a lateral pseudo-damage ratio as evaluation reference indexes of the virtual load precision. The technical scheme visually judges the length of the time domain signal of the simulation result to ensure the consistency of the load data peak value; the evaluation result represents the precision level of the virtual test field simulation load under the condition of the road condition of the test field; the method of the false damage ratio is adopted, the load characteristic of the whole time history of the data is considered, the defect of the peak value ratio is avoided, and the comparison precision is improved.
Description
Technical Field
The invention belongs to the technical field of automobile design, and particularly relates to a precision evaluation method for an automobile durable virtual load.
Background
In the vehicle development process, dynamic load input of a vehicle chassis and a vehicle body is required for the structural endurance simulation of the vehicle. In the early stage of development, the dynamic load of a development vehicle cannot be accurately acquired according to a test result, so that the motion state of the vehicle on a road is simulated by a virtual simulation method, the dynamic attributes of a chassis and a vehicle body are simulated, and the mechanical information between parts, namely virtual load data, is extracted, which is called as a virtual test field method. The establishment of the virtual test field simulation method mainly comprises a digital road surface model, a whole vehicle multi-body dynamic model and a driver model, and obtains dynamic loads of connecting points of various parts of a chassis and a vehicle body through simulation so as to provide basic data for the structural endurance simulation of the vehicle. On the premise of using a virtual test field for simulation, the precision of the virtual load is particularly important.
The existing virtual load precision evaluation method is mainly characterized in that the consistency of the trends of simulation data and test data in a time domain, such as phase and amplitude, is observed, and the ratio of time domain signal peak values is often adopted in the characterization of precision evaluation. As shown in fig. 1.
The existing method can evaluate the accuracy of the virtual load to a certain extent, but when the vehicle structure is subjected to durable simulation, the ratio of a single peak value cannot reflect the accuracy condition of the whole event history data. Then a good accuracy of the peak ratio occurs, but other peaks and phase errors in the event history are large, and even a distortion of the overall signal occurs.
Disclosure of Invention
The invention aims to provide a method for evaluating the accuracy of an automobile durable virtual load, which aims to solve the problem that the existing method for evaluating the accuracy of the virtual load can cause the phenomenon of overall signal distortion when other peak values and phase errors in an event process are large.
In order to achieve the purpose, the method is realized by the following technical scheme:
a method for evaluating the accuracy of the durable virtual load of an automobile comprises the following steps:
s1, building a simulation environment:
creating a corresponding road surface model according to the endurance test field, and creating a digital test field road surface;
fitting and generating an Ftire tire model required by the simulation of a virtual test field according to the tire test result;
s2, setting of simulation vehicle speed:
determining a simulated target vehicle speed by using the test speed of the real endurance test field as the reference speed for driving the virtual vehicle on the digital test field road surface created in the step S1 by using the whole vehicle multi-body dynamic model;
s3, evaluation of virtual load accuracy:
on the basis of the multi-body dynamic model of the step S3, taking the digital test field road surface as a reference road surface, and setting a simulated target vehicle speed, wherein the virtual vehicle can generate force transmission among various parts through the process of running on the reference road surface, so as to obtain virtual load data of related parts under specific conditions;
s4, force values of X, Y, Z directions of the wheel center in the virtual load data of the step S3 are selected as comparison channels; and carrying out pseudo-damage calculation with X, Y, Z force values of the wheel center obtained by the test of the real endurance test field, and respectively obtaining a vertical pseudo-damage ratio, a longitudinal pseudo-damage ratio and a lateral pseudo-damage ratio as evaluation reference indexes of the virtual load precision.
Further, in step S1, the method for creating the road surface model includes creating a road surface 3D digital model with an equal proportion through a construction drawing for a regular road surface with a specific size in the endurance test field, and discretizing the digital model by using a finite element method to generate nodes and cells to create a 3D equivalent volume road surface model; a CRG pavement model was created by laser scanning for a random pavement of the durability test field.
Furthermore, the regular road surface with specific size of the endurance test field at least comprises a washboard road, a pothole road, a resonance road and a wave road; the random pavement of the endurance test field at least comprises Belgium roads or cobblestone roads.
Further, the simulated target vehicle speed in step S2 is a speed when the real endurance test field tests, and a lower limit and an upper limit are respectively set at 5% and 95% of the vehicle speed, and the target speed is taken between the upper limit and the lower limit as the simulated target vehicle speed.
Further, the reference road surface in step S3 selects four roads including a high frequency low amplitude, a low frequency high amplitude, a low frequency low amplitude, and a wide frequency wide amplitude, which have the excitation characteristics of the test field road.
Further, the virtual load data in step S3 is the corrected data, and the data before the wheel enters the characteristic road surface and after the wheel leaves the characteristic road surface are deleted, and only the data after the tire enters the characteristic road surface is retained.
Further, in step S4, the vertical pseudo damage ratio is less than 2, the longitudinal pseudo damage ratio is less than 3, and the lateral pseudo damage ratio is less than 5, which are used as evaluation reference indexes of the virtual load accuracy.
Compared with the prior art, the invention has the beneficial effects that:
when the precision of the virtual simulation load is evaluated, firstly, the simulation vehicle speed is kept consistent with the test vehicle speed according to the method for setting the target vehicle body of the driving robot, and the consistency of load data peak values is ensured by visually judging the length of a simulation result time domain signal.
The precision range of the simulation load of the virtual test field is determined by analyzing data of the test field road and selecting virtual load pseudo-damage statistics of four typical road working conditions of high-frequency low amplitude, low-frequency high amplitude, low-frequency low amplitude and wide-frequency wide amplitude, wherein the pseudo-damage ratio of a vertical channel is within 2 times, the pseudo-damage ratio of a longitudinal channel is within 3 times, the pseudo-damage ratio of a lateral channel is within 5 times, and the result represents the precision level of the simulation load of the virtual test field under the condition of the road working condition of the test field.
The method of the false damage ratio is adopted, the load characteristic of the whole time history of the data is considered, the defect of the peak value ratio is avoided, and the comparison precision is improved.
Drawings
Fig. 1 is a diagram illustrating a ratio of time domain signal peaks in the prior art.
FIG. 2 is a schematic diagram of the determination of simulated vehicle speed from the display of the recorder display of the front wheel speed sensor during a real test field test.
Fig. 3 is a schematic diagram illustrating a comparison between a suspension simulation and a test pseudo damage.
Detailed Description
The following embodiments are merely exemplary, and are not to be construed as limiting the technical aspects of the present invention.
According to the technical scheme, on the basis of a virtual road surface, a whole vehicle dynamic model and an Ftire tire model, the simulation precision is improved through the setting of the simulation vehicle speed of the robot. And meanwhile, selecting a typical digital road, carrying out damage calculation on simulation data of the typical digital road, and carrying out rapid evaluation on the virtual load precision by using a damage ratio method.
In this application, the endurance test fields are referred to, although the conditions may be different for different endurance test fields, but are substantially similar, and a typical endurance test field at least comprises: belgium roads, irregular concrete roads, longitudinal granite roads, irregular damaged slate roads, pothole roads, inclined wave roads, railway roads, transverse granite roads, transverse deceleration marked lines, asphalt braking roads, washboard roads, arched granite roads, pebble roads, tortuosity roads, well cover roads, resonance roads and the like.
The application provides a method for evaluating the accuracy of an automobile durable virtual load, which comprises the following steps:
s1, building a simulation environment:
the method comprises the steps of establishing road surface 3D digifax with equal proportion on regular road surfaces with specific sizes, such as washboard roads, pothole roads, resonance roads, wavy roads and the like in a durability test field through a construction drawing, and discretizing the digifax by utilizing a finite element method to generate nodes and units to establish a 3D equivalent volume road surface model. And (4) creating a CRG road surface model by comparing random road surfaces such as time-interest roads, cobblestone roads and the like through laser scanning.
And fitting and generating an Ftire tire model required by the simulation of the virtual test field according to the tire test result.
S2, setting of simulation vehicle speed:
the method comprises the steps of determining a simulated target vehicle speed by using a whole vehicle multi-body dynamic model on a digital test field road surface (the whole vehicle multi-body dynamic model is a conventional model technology for the existing whole vehicle test, and technicians in the field can select and use corresponding models according to actual needs, wherein the models are vehicle models, and the corresponding whole vehicle multi-body dynamic models are provided for different vehicle models, and are not repeatedly explained by the applicant here), and determining the simulated target vehicle speed by using a speed signal during the real test field test as a reference speed for driving a virtual vehicle, as shown in fig. 2. The curve is the test vehicle speed of a real test field, the lower limit and the upper limit of the value are respectively set at the positions containing 5% and 95% of the test vehicle speed, and the target speed is taken between the upper limit and the lower limit as the input of the simulation vehicle speed of the driving robot.
S3, evaluation of virtual load accuracy:
on the basis of a multi-body dynamic model, a virtual road surface (a digital test field road surface) is added and taken as a reference road surface, and a simulated target vehicle speed is set, so that the vehicle can generate force transmission among various parts through the driving process on the road surface, and the virtual load data of the related parts under specific conditions can be obtained.
The analyzed road surface selects four roads with high-frequency low amplitude, low-frequency high amplitude, low-frequency low amplitude and wide-frequency wide amplitude of the excitation characteristics of the test field road. Such as washboard roads, belgium roads, twisted roads and long wave roads.
S4, selecting force values of the wheel center X, Y and the force values of the wheel center Z in the three directions as comparison channels by the virtual load, correcting the data, deleting data before and after the wheel enters a characteristic road surface, and only keeping the data of the tire entering the road surface so as to improve analysis accuracy.
And (3) performing damage calculation on the wheel center force of the virtual data and the test data, obtaining a ratio, and accumulating a large amount of experience, wherein a vertical pseudo-damage ratio is less than 2, a longitudinal pseudo-damage ratio is less than 3, and a lateral pseudo-damage ratio is less than 5 as an evaluation reference index of the virtual load precision, and as shown in fig. 3, a schematic diagram of comparison between suspension simulation and test pseudo-damage is shown.
Although embodiments of the present application have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The method for evaluating the accuracy of the durable virtual load of the automobile is characterized by comprising the following steps of:
s1, building of simulation environment
Creating a corresponding road surface model according to the endurance test field, and creating a digital test field road surface;
fitting and generating an Ftire tire model required by the simulation of a virtual test field according to the tire test result;
s2 setting of simulation vehicle speed
Determining a simulated target speed by using the test speed of the real endurance test field as the reference speed for driving the virtual vehicle on the digital test field road surface created in the step S1 by using the whole vehicle multi-body dynamic model;
s3 evaluation of virtual load accuracy
On the basis of the multi-body dynamic model of the step S3, taking the digital test field road surface as a reference road surface, and setting a simulated target vehicle speed, wherein the virtual vehicle can generate force transmission among various parts through the process of running on the reference road surface, so as to obtain virtual load data of related parts under specific conditions;
s4, force values of X, Y, Z directions of the wheel center in the virtual load data of the step S3 are selected as comparison channels; and carrying out pseudo-damage calculation with X, Y, Z force values of the wheel center obtained by the test of the real endurance test field, and respectively obtaining a vertical pseudo-damage ratio, a longitudinal pseudo-damage ratio and a lateral pseudo-damage ratio as evaluation reference indexes of the virtual load precision.
2. The method for evaluating the accuracy of the virtual durable load of the automobile according to claim 1, wherein in step S1, the road surface model is created by creating a road surface 3D mathematical model with equal proportion by using a construction drawing for a regular road surface with a specific size in a durable test field, and discretizing the mathematical model by using a finite element method to generate nodes and cells to create a 3D equivalent volume road surface model; a CRG pavement model was created by laser scanning for a random pavement of the durability test field.
3. The method for evaluating the accuracy of the virtual durable load of the automobile according to claim 2, wherein the regular road surface having a specific size in the durability test field includes at least a washboard road, a pothole road, a resonance road, and a wavy road; the random pavement of the endurance test field at least comprises Belgium roads or cobblestone roads.
4. The method for evaluating the accuracy of the durable virtual load of the automobile according to claim 1, wherein the simulated target automobile speed in the step S2 is a speed when tested in a real durability test field, a lower value limit and an upper limit are respectively set at 5% and 95% of the automobile speed, and the target speed is taken between the upper limit and the lower limit as the simulated target automobile speed.
5. The method for evaluating the accuracy of the durable virtual load of the automobile according to claim 1, wherein four roads including a high frequency low amplitude, a low frequency high amplitude, a low frequency low amplitude and a wide frequency wide amplitude having the excitation characteristics of the test field road are selected as the reference road surface in step S3.
6. The method for evaluating the accuracy of a durable virtual load of an automobile according to claim 1, wherein the virtual load data in step S3 is corrected data, and data before the wheel enters the characteristic road surface and after the wheel leaves the characteristic road surface are deleted, and only data after the tire enters the characteristic road surface are retained.
7. The method for evaluating the accuracy of the durable virtual load of the automobile according to claim 1, wherein in step S4, the vertical pseudo damage ratio is less than 2, the longitudinal pseudo damage ratio is less than 3, and the lateral pseudo damage ratio is less than 5 as the evaluation reference index of the accuracy of the virtual load.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210838057.3A CN115017778A (en) | 2022-07-16 | 2022-07-16 | Precision evaluation method for automobile durable virtual load |
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| CN202210838057.3A CN115017778A (en) | 2022-07-16 | 2022-07-16 | Precision evaluation method for automobile durable virtual load |
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