Application Method, System, Electronic Device and Storage Medium of Virtual Load in Durability Test of Automobile Swing Arm

Abstract

The present invention provides an application method, system, electronic device and storage medium of virtual load in the durability test of an automotive swing arm. The method includes: firstly, conducting a test field road load spectrum acquisition test to obtain the real-time road load results at the swing arm ball joint; secondly, establishing a vehicle dynamics model, and obtaining the virtual load at the ball joint position of the front suspension swing arm sample according to the test road conditions specified in the durability program; finally, performing damage correlation calculation on the virtual simulation load at the swing arm ball joint position and the load collected from the real vehicle test, comparing the sum of the longitudinal, lateral and lateral longitudinal damage values of the vehicle under different road conditions, and conducting a correlation analysis. By adjusting the enhancement coefficient of the virtual load, the optimal matching between the virtual load and the test load can be achieved. This method is used to effectively predict the durability performance problems of swing arm components by using virtual load in the early stage of development, which is beneficial to guiding the vehicle structure layout and optimizing the structure design of swing arm components according to the suspension mechanical transmission path.

Description

Technical Field

[0001] The present invention belongs to the field of automobiles, and particularly relates to an application method and system of virtual load in the durability test of an automobile swing arm. Background Art

[0002] Before mass production and installation of automobile parts, a series of test detections must be carried out to verify that the parts can meet the performance requirements of vehicle handling stability, ride comfort, safety, reliable durability, etc. At the same time, an automobile is generally assembled from tens of thousands of parts, so the performance of each part will affect the performance of the whole vehicle. For the automobile suspension swing arm, its function is to transmit the force and torque from the tire to the vehicle body. Therefore, the reliable durability performance of the swing arm is a very prominent performance attribute. The excitation signal of the automobile swing arm durability test comes from the real vehicle test field test. By collecting load spectra, signals such as the wheel center force and acceleration of the whole vehicle are obtained, and the load distribution at each connection position of the swing arm is obtained by using the multi-body dynamics model of the whole vehicle. Then, a test bench is used for load model and durability verification. The virtual test field technology is the most advanced technology in the current CAE field. This technology digitizes the real road surface of the physical test field through means such as 3D scanning, so as to provide real working conditions input for multi-body dynamics simulation and load extraction. The application of virtual test field technology can obtain the boundary load of parts without a physical prototype for load spectrum collection in the early stage of development, advance the durability analysis and verification, thus shortening the project cycle and reducing the development cost. The present invention uses the method of virtual test field simulation to obtain the load distribution of the swing arm of a certain model vehicle, and designs the enhancement coefficient of the virtual load by calculating the optimal matching scheme of the virtual load and the real vehicle load, and guides the virtual load to be used in the durability test of the real vehicle swing arm.

[0003] At present, the durability analysis load of the swing arm is generally obtained by two methods: one is to collect the excitation signal of the swing arm by using a real vehicle for road spectrum collection, and the other is to verify the load of a similar vehicle by using past experience.

[0004] In the first method, a physical prototype vehicle is required, but in the early stage of vehicle design, the node of component structure confirmation often leads the time node of prototype vehicle manufacturing, resulting in a mismatch of time cycles and seriously affecting the development progress of components.

[0005] Using empirical load verification in the second method is often not accurate enough, which is likely to cause over-design of components or failure to meet the durability requirements. Summary of the Invention

[0006] To solve the above technical problems, the present invention proposes a technical solution for an application method, system, electronic device and storage medium of virtual load in the durability test of an automobile swing arm to solve the above technical problems.

[0007] The first aspect of the present invention discloses an application method of virtual load in the durability test of an automotive swing arm. The method includes:

[0008] Step S1: Arrange vehicle sensors to conduct a real vehicle test field road spectrum acquisition test, and obtain the X-direction and Y-direction test load data at the swing arm ball joint position through the test.

[0009] Step S2: Build a vehicle dynamics model of the same type of vehicle, conduct virtual test field simulation according to the data of the test field durability conditions, and extract the virtual load data at the swing arm ball joint position.

[0010] Step S3: Based on the test load results at the swing arm ball joint position, calculate the real load damage values of the swing arm ball joint in the X-direction and Y-direction under different test field durability conditions; count the virtual load data at the swing arm ball joint position, and calculate the virtual load damage values of the swing arm ball joint in the X-direction and Y-direction under different test field durability conditions.

[0011] Step S4: Calculate the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction according to the real load damage value and the virtual load damage value.

[0012] Step S5: Calculate the amplification factor of the virtual load data according to the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction, and adjust the virtual load data through the amplification factor to make the virtual load data approach the test load data.

[0013] According to the method of the first aspect of the present invention, the method further includes:

[0014] Set the amplification factor of the virtual load data and increase the virtual load cycle times.

[0015] According to the method of the first aspect of the present invention, in the step S4, the method of calculating the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction according to the real load damage value and the virtual load damage value includes:

[0016] Calculate the ratio of the real load damage value in the X-direction to the total value, the ratio of the real load damage value in the Y-direction to the total value, the ratio of the virtual load damage value in the X-direction to the total value, and the ratio of the virtual load damage value in the Y-direction to the total value.

[0017] Apply the ratio of the real load damage value in the X-direction to the total value, the ratio of the real load damage value in the Y-direction to the total value, the ratio of the virtual load damage value in the X-direction to the total value, and the ratio of the virtual load damage value in the Y-direction to the total value to calculate the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction.

[0018] According to the method of the first aspect of the present invention, in the step S4, the method for calculating the correlation coefficient in the X direction and the correlation coefficient in the Y direction by applying the relative value of the X-direction true load damage value to the total value, the relative value of the Y-direction true load damage value to the total value, the relative value of the X-direction virtual load damage value to the total value, and the relative value of the Y-direction virtual load damage value to the total value includes:

[0019] Calculate the correlation coefficient of the relative value of the X-direction true load damage value to the total value and the relative value of the X-direction virtual load damage value to the total value to obtain the correlation coefficient in the X direction;

[0020] Calculate the correlation coefficient of the relative value of the Y-direction true load damage value to the total value and the relative value of the Y-direction virtual load damage value to the total value to obtain the correlation coefficient in the Y direction.

[0021] According to the method of the first aspect of the present invention, in the step S5, before calculating the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction, the method further includes:

[0022] Constrain the sum of the correlation coefficient in the X direction and the correlation coefficient in the Y direction.

[0023] According to the method of the first aspect of the present invention, in the step S5, the specific formula for constraining the sum of the correlation coefficient in the X direction and the correlation coefficient in the Y direction is:

[0024]

[0025] where x is the correlation coefficient in the X direction after constraint, y is the correlation coefficient in the Y direction after constraint, V X the correlation coefficient in the X direction, V Y the correlation coefficient in the Y direction.

[0026] According to the method of the first aspect of the present invention, the method for calculating the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction includes:

[0027]

[0028] where θ is the amplification factor of the data of the virtual load, x is the correlation coefficient in the X direction after constraint, y is the correlation coefficient in the Y direction after constraint,

[0029] F RLDA (X) is the force in the X direction collected by the experimental road spectrum,

[0030] F VPG (X) is the force in the X direction of the virtual test field,

[0031] F RLDA(Y) is the force in the Y direction for experimental road spectrum acquisition.

[0032] F VPG (Y) is the force in the Y direction of the virtual test field.

[0033] The second aspect of the present invention discloses an application system of virtual load in the durability test of an automotive swing arm. The system includes:

[0034] A first processing module, configured to arrange vehicle sensors to conduct a road spectrum acquisition test on a real vehicle test field, and obtain data of the X-direction and Y-direction test loads at the swing arm ball joint position through the test;

[0035] A second processing module, configured to build a vehicle dynamics model of the same type of vehicle, perform virtual test field simulation according to the data of the durability conditions of the test field, and extract data of the virtual load at the swing arm ball joint position;

[0036] A third processing module, configured to calculate the real load damage values of the swing arm ball joint in the X direction and Y direction under different durability conditions of the test field based on the test load results at the swing arm ball joint position; statistically analyze the data of the virtual load at the swing arm ball joint position, and calculate the virtual load damage values of the swing arm ball joint in the X direction and Y direction under different durability conditions of the test field;

[0037] A fourth processing module, configured to calculate the correlation coefficient in the X direction and the correlation coefficient in the Y direction according to the real load damage value and the virtual load damage value;

[0038] A fifth processing module, configured to calculate the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction, and adjust the data of the virtual load through the amplification factor to make the data of the virtual load approach the data of the test load.

[0039] The third aspect of the present invention discloses an electronic device. The electronic device includes a memory and a processor. When the processor executes the computer program stored in the memory, the steps in the application method of a virtual load in the durability test of an automotive swing arm according to any one of the first aspects of the present disclosure are implemented.

[0040] The fourth aspect of the present invention discloses a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the steps in the application method of a virtual load in the durability test of an automotive swing arm according to any one of the first aspects of the present disclosure are implemented.

[0041] The solution proposed by the present invention has the following beneficial effects:

[0042] 1. The virtual test field technology can be used to conduct durability simulation analysis and verification on components, accurately guide the design scheme, reasonably match the development progress of components, and shorten the project development cycle;

[0043] 2. Without the need for road spectrum acquisition, durability development of components can be carried out, reducing project development costs and saving costs. Description of the Drawings

[0044] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0045] Figure 1 It is a flowchart of an application method of virtual load in the durability test of an automotive swing arm according to an embodiment of the present invention;

[0046] Figure 2 It is a schematic diagram of the vehicle virtual test field simulation according to an embodiment of the present invention;

[0047] Figures 3a - 3b It is the ball joint test load result of some working conditions according to an embodiment of the present invention;

[0048] Figures 4a - 4b It is the ball joint simulation load result of some working conditions according to an embodiment of the present invention;

[0049] Figure 5 It is a structural diagram of an application system of virtual load in the durability test of an automotive swing arm according to an embodiment of the present invention;

[0050] Figure 6 It is a structural diagram of an electronic device according to an embodiment of the present invention. Specific Embodiments

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0052] The first aspect of the present invention discloses an application method of virtual load in the durability test of an automotive swing arm. Figure 1A flowchart of an application method of a virtual load in an automotive swing arm durability test according to an embodiment of the present invention is as follows: Figure 1 As shown, the method includes:

[0053] Step S1: Arrange vehicle sensors to conduct a real vehicle test field road spectrum acquisition test, and obtain the X-direction and Y-direction test load data of the swing arm ball head position through the test;

[0054] Step S2: Build a vehicle dynamics model of the same type of vehicle, perform virtual test field simulation according to the data of the test field durability conditions, and extract the virtual load data of the swing arm ball head position;

[0055] Step S3: Based on the test load results of the swing arm ball head position, calculate the real load damage values of the swing arm ball head in the X-direction and Y-direction under different test field durability conditions; statistically analyze the virtual load data of the swing arm ball head position, and calculate the virtual load damage values of the swing arm ball head in the X-direction and Y-direction under different test field durability conditions;

[0056] Step S4: Calculate the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction according to the real load damage value and the virtual load damage value;

[0057] Step S5: Calculate the amplification factor of the virtual load data according to the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction, and adjust the virtual load data through the amplification factor to make the virtual load data approach the test load data.

[0058] In some embodiments, the method further includes:

[0059] It is generally considered that the vehicle load results obtained through virtual test field simulation tend to be weaker than the real test results. When using virtual loads directly in the process of validating component bench durability tests, problems such as insufficient test validation due to weak load intensity are likely to occur. To improve the virtual load intensity, set the amplification factor of the virtual load data, increase the virtual load cycle times, so that the total pseudo-damage value of the swing arm calculated from the virtual load approaches the calculation result of the test load.

[0060] In step S1, arrange vehicle sensors to conduct a real vehicle test field road spectrum acquisition test, and obtain the X-direction and Y-direction test load data of the swing arm ball head position through the test.

[0061] Specifically, set the road conditions and vehicle speeds in the test field durability program. The test field conditions are shown in Table 1. The ball head load results obtained from the test field acquisition are as Figure 3a and Figure 3b shown.

[0062] Table 1 Test field durability conditions

[0063]

[0064] In step S2, a vehicle dynamics model of the same type of vehicle is constructed, virtual test field simulation is carried out according to the data of the durability conditions of the test field, and the data of the virtual load at the position of the swing arm ball head is extracted.

[0065] Specifically, a vehicle dynamics model of the same type of vehicle is constructed, and virtual test field simulation is carried out according to Table 1. As Figure 2 shown, the virtual load data at the ball head position is extracted through the load channels established by the template file, and the load results are as Figure 4a and Figure 4b shown.

[0066] In step S3, based on the test load results at the position of the swing arm ball head, the true load damage values of the swing arm ball head in the X and Y directions under different durability conditions of the test field are calculated; the data of the virtual load at the position of the swing arm ball head is statistically analyzed, and the virtual load damage values of the swing arm ball head in the X and Y directions under different durability conditions of the test field are calculated.

[0067] Specifically, based on the test load results at the position of the swing arm ball head, the true load damage values of the swing arm ball head in the X and Y directions under different durability conditions of the test field are calculated, as shown in Table 2.

[0068] Table 2 Pseudo-damage statistics of the swing arm ball head under the test field load

[0069]

[0070] The data of the virtual load at the position of the swing arm ball head is statistically analyzed, and the virtual load damage values of the swing arm ball head in the X and Y directions under different durability conditions of the test field are calculated, as shown in Table 3.

[0071] Table 3 Pseudo-damage statistics of the swing arm ball head under the virtual simulation load

[0072]

[0073] In step S4, according to the true load damage value and the virtual load damage value, the correlation coefficients in the X direction and the Y direction are calculated.

[0074] In some embodiments, in step S4, the method for calculating the correlation coefficients in the X direction and the Y direction according to the true load damage value and the virtual load damage value includes:

[0075] Calculating the ratio of the true load damage value in the X direction to the total value, the ratio of the true load damage value in the Y direction to the total value, the ratio of the virtual load damage value in the X direction to the total value, and the ratio of the virtual load damage value in the Y direction to the total value;

[0076] Calculate the correlation coefficient in the X direction and the correlation coefficient in the Y direction by using the ratio of the true load damage value in the X direction to the total value, the ratio of the true load damage value in the Y direction to the total value, the ratio of the virtual load damage value in the X direction to the total value, and the ratio of the virtual load damage value in the Y direction to the total value.

[0077] The ratio of the true load damage value in the X direction to the total value is the ratio of the total RLDA damage value in the X direction to the total RLDA damage value of the total.

[0078] The ratio of the true load damage value in the Y direction to the total value is the ratio of the total RLDA damage value in the Y direction to the total RLDA damage value of the total.

[0079] The ratio of the true virtual load damage value in the X direction to the total value is the ratio of the total VPG damage value in the X direction to the total VPG damage value of the total.

[0080] The ratio of the true virtual load damage value in the Y direction to the total value is the ratio of the total VPG damage value in the Y direction to the total VPG damage value of the total.

[0081] The method for calculating the correlation coefficient in the X direction and the correlation coefficient in the Y direction by using the ratio of the true load damage value in the X direction to the total value, the ratio of the true load damage value in the Y direction to the total value, the ratio of the virtual load damage value in the X direction to the total value, and the ratio of the virtual load damage value in the Y direction to the total value includes:

[0082] Calculate the correlation coefficient of the ratio of the true load damage value in the X direction to the total value and the ratio of the virtual load damage value in the X direction to the total value to obtain the correlation coefficient in the X direction;

[0083] Calculate the correlation coefficient of the ratio of the true load damage value in the Y direction to the total value and the ratio of the virtual load damage value in the Y direction to the total value to obtain the correlation coefficient in the Y direction.

[0084] Specifically, the formula for the correlation coefficient is:

[0085]

[0086] Where Cov(A,B) is the covariance of A and B, Var(A) is the variance of A, and Var(B) is the variance of B.

[0087] After calculation, the correlation coefficient in the X direction is 0.4704, and the correlation coefficient in the Y direction is 0.9966.

[0088] In step S5, calculate the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction, and adjust the data of the virtual load through the amplification factor to make the data of the virtual load approach the data of the test load.

[0089] In some embodiments, in step S5, before calculating the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction, the method further includes:

[0090] Constraining the sum of the correlation coefficient in the X direction and the correlation coefficient in the Y direction.

[0091] The specific formula for the constraint is:

[0092]

[0093] where x is the correlation coefficient in the X direction after constraint, y is the correlation coefficient in the Y direction after constraint, V X the correlation coefficient in the X direction, V Y the correlation coefficient in the Y direction.

[0094] The method for calculating the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction includes:

[0095]

[0096] where θ is the amplification factor of the data of the virtual load, x is the correlation coefficient in the X direction after constraint, y is the correlation coefficient in the Y direction after constraint,

[0097] RLDA is the abbreviation of road load data acquisition, that is, road load spectrum acquisition;

[0098] VPG is the abbreviation of virtual proving ground, that is, virtual test field;

[0099] F is the abbreviation of force, that is, force;

[0100] F RLDA (X) is the force in the X direction of the experimental road spectrum acquisition,

[0101] F VPG (X) is the force in the X direction of the virtual test field,

[0102] F RLDA (Y) is the force in the Y direction of the experimental road spectrum acquisition,

[0103] F VPG (Y) is the force in the Y direction of the virtual test field.

[0104] Specifically, the above correlation coefficient results show that the total damage value of the Y-direction load and the position of the swing arm ball head has the highest correlation, that is, the main damage of the swing arm ball head comes from the Y-direction. At the same time, considering that the X-direction load still has an impact on the damage of the swing arm, the sum of the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction is constrained:

[0105]

[0106] After calculation, x = 0.321 and y = 0.679 are obtained.

[0107] The method for calculating the amplification coefficient of the data of the virtual load according to the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction includes:

[0108]

[0109] Where θ is the amplification coefficient, F RLDA (X)=99747.70, F VPG (X)=38690.57, F RLDA (Y)=370731.88, F VPG (Y)=227451.14, and the calculated amplification coefficient θ = 2.29.

[0110] To make the pseudo-damage value calculated by the virtual simulation load consistent with the test load, after adjusting the pseudo-damage value calculated by the virtual load according to the amplification coefficient, the overall strength of the virtual load increases, and the error between the total damage value and the test total damage value is reduced to 13.8%, which can more effectively guide the durability verification test of parts.

[0111] In summary, the solution proposed by the present invention can

[0112] 1. Use the virtual test field technology to conduct durability simulation analysis and verification on parts, accurately guide the design scheme, reasonably match the development progress of parts, and shorten the project development cycle;

[0113] 2. Conduct durability development on parts without road spectrum collection, reduce project development costs, and save costs.

[0114] The second aspect of the present invention discloses an application system of virtual load in the durability test of automobile swing arms. Figure 5 For the structural diagram of an application system of virtual load in the durability test of automobile swing arms according to an embodiment of the present invention; as Figure 5 shown, the system 100 includes:

[0115] The first processing module 101 is configured to arrange vehicle sensors to conduct a road spectrum acquisition test on a real vehicle test site, and obtain data on the X-direction and Y-direction test loads at the position of the swing arm ball head through the test;

[0116] The second processing module 102 is configured to build a vehicle dynamics model of the same type of vehicle, perform virtual test site simulation based on the data of the durability conditions of the test site, and extract the data of the virtual loads at the position of the swing arm ball head;

[0117] The third processing module 103 is configured to calculate the real load damage values of the swing arm ball head in the X-direction and Y-direction under different durability conditions of the test site based on the test load results at the position of the swing arm ball head; count the data of the virtual loads at the position of the swing arm ball head, and calculate the virtual load damage values of the swing arm ball head in the X-direction and Y-direction under different durability conditions of the test site;

[0118] The fourth processing module 104 is configured to calculate the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction based on the real load damage value and the virtual load damage value;

[0119] The fifth processing module 105 is configured to calculate the amplification factor of the data of the virtual loads based on the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction, and adjust the data of the virtual loads through the amplification factor to make the data of the virtual loads approach the data of the test loads.

[0120] A third aspect of the present invention discloses an electronic device. The electronic device includes a memory and a processor. When the processor executes a computer program stored in the memory, the steps in an application method of virtual loads in an automotive swing arm durability test according to any one of the first aspects disclosed in the present invention are implemented.

[0121] Figure 6 For the structural diagram of an electronic device according to an embodiment of the present invention, as Figure 6As shown, the electronic device includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, carrier network, near field communication (NFC), or other technologies. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covering the display screen, or a button, trackball, or touchpad provided on the housing of the electronic device, or an external keyboard, touchpad, or mouse, etc.

[0122] Those skilled in the art can understand that Figure 6 the structure shown in is only the structural diagram of the part related to the technical solution of the present disclosure, and does not constitute a limitation on the electronic device to which the solution of this application is applied. The specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0123] The fourth aspect of the present invention discloses a computer-readable storage medium. A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the application method of a virtual load in an automotive swing arm durability test according to any one of the first aspects disclosed in the present invention are implemented.

[0124] Please note that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as these combinations of technical features do not conflict, they should all be considered to be within the scope described in this specification. The above embodiments only represent several implementation manners of this application, and their descriptions are relatively specific and detailed, but they should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of this application, several deformations and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of the patent of this application should be subject to the appended claims.

Claims

1. A method for applying virtual load in the durability test of an automotive swing arm, characterized in that, the method includes: Step S1: Arrange vehicle sensors to conduct a real vehicle test field road spectrum acquisition test, and obtain the X-direction and Y-direction test load data of the swing arm ball joint position through the test; Step S2: Build a vehicle dynamics model of the same type of vehicle, conduct virtual test field simulation according to the data of the test field durability conditions, and extract the virtual load data of the swing arm ball joint position; Step S3: Based on the test load results of the swing arm ball joint position, calculate the real load damage values of the swing arm ball joint in the X-direction and Y-direction under different test field durability conditions; count the virtual load data of the swing arm ball joint position, and calculate the virtual load damage values of the swing arm ball joint in the X-direction and Y-direction under different test field durability conditions; Step S4: Calculate the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction according to the real load damage value and the virtual load damage value; Step S5: Calculate the amplification coefficient of the virtual load data according to the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction, and adjust the virtual load data through the amplification coefficient to make the virtual load data approach the test load data; wherein, the method for calculating the amplification coefficient includes: where θ is the amplification coefficient of the virtual load data, x is the correlation coefficient in the X-direction after constraint, and y is the correlation coefficient in the Y-direction after constraint; F RLDA (X) is the force in the X direction collected from the experimental road spectrum, F VPG (X) is the force in the X direction of the virtual test field, F RLDA (Y) is the force in the Y direction for experimental road spectrum acquisition, F VPG (Y) is the force in the Y direction of the virtual test field.

2. The method for applying virtual load in the durability test of an automotive swing arm according to claim 1, characterized in that, the method further includes: Set the amplification coefficient of the virtual load data and increase the virtual load cycle times.

3. The method for applying virtual load in the durability test of an automotive swing arm according to claim 1, characterized in that, In the step S4, the method for calculating the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction according to the real load damage value and the virtual load damage value includes: Calculate the ratio of the X-direction real load damage value to the total value, the ratio of the Y-direction real load damage value to the total value, the ratio of the X-direction virtual load damage value to the total value, and the ratio of the Y-direction virtual load damage value to the total value; Apply the ratio of the X-direction real load damage value to the total value, the ratio of the Y-direction real load damage value to the total value, the ratio of the X-direction virtual load damage value to the total value, and the ratio of the Y-direction virtual load damage value to the total value to calculate the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction.

4. The method for applying virtual load in the durability test of an automotive swing arm according to claim 3, characterized in that, In the step S4, the method for applying the ratio of the X-direction real load damage value to the total value, the ratio of the Y-direction real load damage value to the total value, the ratio of the X-direction virtual load damage value to the total value, and the ratio of the Y-direction virtual load damage value to the total value to calculate the correlation coefficient in the X-direction and the correlation coefficient in the Y-direction includes: Calculate the correlation coefficient between the ratio of the X-direction real load damage value to the total value and the ratio of the X-direction virtual load damage value to the total value to obtain the correlation coefficient in the X-direction; Calculate the correlation coefficient of the true load damage value in the Y direction relative to the total value and the virtual load damage value in the Y direction relative to the total value to obtain the correlation coefficient in the Y direction.

5. A method for applying virtual load in the durability test of an automotive swing arm according to claim 4, characterized in that, in the step S5, before calculating the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction, the method further includes: constraining the sum of the correlation coefficient in the X direction and the correlation coefficient in the Y direction.

6. A method for applying virtual load in the durability test of an automotive swing arm according to claim 5, characterized in that, in the step S5, the specific formula for constraining the sum of the correlation coefficient in the X direction and the correlation coefficient in the Y direction is: Among them, x is the correlation coefficient in the X direction after constraint, y is the correlation coefficient in the Y direction after constraint, and V X the correlation coefficient in the X direction, V Y the correlation coefficient in the Y direction.

7. An application system for virtual load in the durability test of an automotive swing arm, characterized in that, the system includes: A first processing module configured to arrange vehicle sensors to conduct a road spectrum acquisition test on a real vehicle test site, and obtain the data of the test loads in the X direction and the Y direction at the swing arm ball head position through the test; A second processing module configured to construct a vehicle dynamics model of the same type of vehicle, perform virtual test site simulation according to the data of the durability conditions of the test site, and extract the data of the virtual load at the swing arm ball head position; A third processing module configured to calculate the true load damage values of the swing arm ball head in the X direction and the Y direction under different durability conditions of the test site based on the test load results at the swing arm ball head position; count the data of the virtual load at the swing arm ball head position, and calculate the virtual load damage values of the swing arm ball head in the X direction and the Y direction under different durability conditions of the test site; A fourth processing module configured to calculate the correlation coefficient in the X direction and the correlation coefficient in the Y direction according to the true load damage value and the virtual load damage value; A fifth processing module configured to calculate the amplification factor of the data of the virtual load according to the correlation coefficient in the X direction and the correlation coefficient in the Y direction, and adjust the data of the virtual load through the amplification factor to make the data of the virtual load approach the data of the test load; wherein, the method for calculating the amplification factor includes: where θ is the amplification factor of the data of the virtual load, x is the correlation coefficient in the X direction after constraint, and y is the correlation coefficient in the Y direction after constraint; F RLDA (X) is the force in the X direction collected from the experimental road spectrum, F VPG (X) is the force in the X direction of the virtual test site, F RLDA (Y) is the force in the Y direction for experimental road spectrum acquisition, F VPG (Y) is the force in the Y direction of the virtual test field.

8. An electronic device, characterized in that, the electronic device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps in the method for applying virtual load in the durability test of an automotive swing arm according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium, characterized in that, a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the method for applying virtual load in the durability test of an automotive swing arm according to any one of claims 1 to 6 are implemented.

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