Four-wheel alignment deviation adjustment method, device, terminal device and storage medium

Abstract

The present application relates to a four-wheel alignment deviation adjustment method, device, terminal device and storage medium, and relates to the technical field of automotive four-wheel alignment. The method includes the following steps: obtaining the measured value of the camber angle and the measured value of the toe angle of the vehicle to be adjusted, and comparing them with the preset allowable range of deviation values; when the measured value of the camber angle or the measured value of the toe angle exceeds the preset allowable range of deviation values, importing a preset simulation adjustment device; using the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt and the preset values of the second eccentric bolt, and obtaining the optimal simulation value of the camber angle adjustment and the optimal simulation value of the toe angle adjustment. The present application performs simulation adjustment based on different preset values of the first eccentric bolt and the preset values of the second eccentric bolt, obtains the optimal simulation value of the camber angle adjustment and the optimal simulation value of the toe angle adjustment, and obtains the adjustment parameters in the early stage of actual adjustment, thereby improving work efficiency.

Description

Technical Field

[0001] This application relates to the technical field of four-wheel alignment of automobiles, and particularly relates to a method, device, terminal device and storage medium for adjusting four-wheel alignment deviation. Background Art

[0002] In the automotive chassis system, the four-wheel alignment parameters affect the handling stability of the vehicle. Reasonable four-wheel alignment parameters can make the vehicle steering light, have a certain steering return characteristic, and can also reduce tire wear. However, during the manufacturing process, the chassis suspension is affected by inevitable manufacturing deviations such as part manufacturing deviations, tooling fixture positioning deviations, and assembly process deviations, which will cause differences between the four-wheel alignment parameters and the theoretical values. In particular, the camber angle and toe angle often exceed the tolerance range defined by the design.

[0003] To ensure the qualification of the four-wheel alignment parameters of the suspension system, an eccentric bolt size adjustment structure is often used in the design, and the four-wheel alignment parameters are adjusted to the tolerance range defined by the design at the vehicle repair and adjustment stations. However, since the actual four-wheel alignment parameter values of each vehicle are different, the adjustment amounts are also different, resulting in the need to explore the adjustment amount of each vehicle according to the actual situation during the manufacturing process. At the same time, due to the influence of the suspension structure form, the camber angle and toe angle will affect each other during the adjustment process, bringing repetition and difficulties to the final adjustment work, seriously affecting the production rhythm and efficiency.

[0004] Therefore, how to quickly and conveniently adjust the four-wheel alignment parameter deviation is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0005] This application provides a method, device, terminal device and storage medium for adjusting four-wheel alignment deviation. Based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values for simulation adjustment, the optimal adjustment simulation values of the camber angle and the optimal adjustment simulation values of the toe angle are obtained, and adjustment parameters are obtained in the early stage of actual adjustment, thereby improving work efficiency.

[0006] In a first aspect, this application provides a method for adjusting four-wheel alignment deviation, and the method includes the following steps:

[0007] When the measured camber angle value and toe angle value obtained by measuring the vehicle to be adjusted exceed the preset deviation value permission range, import the preset simulation adjustment device;

[0008] Using the simulation trimming device, based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, perform simulation trimming on the vehicle to be trimmed, obtain the corresponding camber trimming simulation values and toe angle trimming simulation values after trimming, and further obtain the optimal camber trimming simulation values and the optimal toe angle trimming simulation values;

[0009] Based on the optimal camber trimming simulation values and the optimal toe angle trimming simulation values, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt; wherein,

[0010] The first eccentric bolt is used to perform simulation trimming on the camber angle;

[0011] The second eccentric bolt is used to perform simulation trimming on the toe angle.

[0012] Specifically, using the simulation trimming device, based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, perform simulation trimming on the vehicle to be trimmed, and obtain the corresponding camber trimming simulation values and toe angle trimming simulation values after trimming, including the following steps:

[0013] Using the simulation trimming device, based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, perform simulation trimming on the vehicle to be trimmed, and obtain the corresponding camber trimming change values and toe angle trimming change values after trimming;

[0014] Based on the corresponding camber trimming change values and toe angle trimming change values after trimming, combined with the camber angle measurement values and toe angle measurement values, obtain the corresponding camber trimming simulation values and toe angle trimming simulation values after trimming.

[0015] Furthermore, the method further includes the following steps:

[0016] Based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, perform permutation and combination to obtain multiple adjustment preset value pairs, and further obtain an adjustment preset value data set;

[0017] The simulation trimming device performs simulation trimming on the vehicle to be trimmed based on the adjustment preset value data set, and obtains multiple angle adjustment simulation value pairs after trimming, and the angle adjustment simulation value pairs include camber trimming simulation values and toe angle trimming simulation values;

[0018] Based on the angle adjustment simulation value pairs, obtain an angle adjustment simulation value data set.

[0019] Furthermore, the method further includes the following steps:

[0020] Based on the preset upper and lower limit ranges of the camber angle theory and the upper and lower limit ranges of the toe angle theory, screen the angle adjustment simulation value dataset to obtain a valid angle adjustment simulation value dataset;

[0021] Based on the valid angle adjustment simulation value dataset, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt; wherein,

[0022] Both the camber angle adjustment simulation value and the toe angle adjustment simulation value in the valid angle adjustment simulation value dataset are within the upper and lower limit ranges of the camber angle theory or the upper and lower limit ranges of the toe angle theory.

[0023] Further, the method further includes the following steps:

[0024] Based on the angle adjustment simulation value pairs corresponding to the first eccentric bolt adjustment preset value or the second eccentric bolt adjustment preset value being 0 in the valid angle adjustment simulation value dataset, form a second-level valid angle adjustment simulation value dataset;

[0025] Based on the second-level valid angle adjustment simulation value dataset, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0026] Further, the method further includes the following steps:

[0027] Form a third-level valid angle adjustment simulation value dataset from the angle adjustment simulation value pairs in the second-level valid angle adjustment simulation value dataset where the first eccentric bolt adjustment preset value and the second eccentric bolt adjustment preset value are integers;

[0028] Based on the third-level valid angle adjustment simulation value dataset, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0029] Further, the method further includes the following steps:

[0030] Obtain the angle adjustment simulation value in the third-level valid angle adjustment simulation value dataset that is closest to the camber angle theoretical value and the toe angle theoretical value, and further obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0031] In a second aspect, the present application provides a four-wheel alignment deviation adjustment device, and the device includes:

[0032] A parameter comparison module, which is used to obtain the camber angle measurement value and the toe angle measurement value of the vehicle to be adjusted, and compare them with the preset deviation value permission range;

[0033] A parameter import module, which is used to import a preset simulation adjustment device when the measured camber angle or the measured toe angle exceeds the permitted range of the preset deviation value;

[0034] A simulation adjustment module, which is used to perform simulation adjustment by using the simulation adjustment device based on the preset value of the first eccentric bolt and the preset value of the second eccentric bolt to obtain the corresponding simulated camber angle adjustment value and the simulated toe angle adjustment value after adjustment, and further obtain the optimal simulated camber angle adjustment value and the optimal simulated toe angle adjustment value;

[0035] An optimal screening module, which is used to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and the second eccentric bolt based on the optimal simulated camber angle adjustment value and the optimal simulated toe angle adjustment value; wherein,

[0036] The first eccentric bolt is used to perform simulation adjustment on the camber angle;

[0037] The second eccentric bolt is used to perform simulation adjustment on the toe angle.

[0038] Specifically, the simulation adjustment module is further used to control the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt adjustment and the preset value of the second eccentric bolt adjustment, and obtain the corresponding camber angle adjustment change value and the toe angle adjustment change value after adjustment;

[0039] The simulation adjustment module is further used to obtain the corresponding simulated camber angle adjustment value and the simulated toe angle adjustment value after adjustment based on the corresponding camber angle adjustment change value and the toe angle adjustment change value after adjustment, in combination with the measured camber angle value and the measured toe angle value.

[0040] Furthermore, the device further includes an adjustment preset module;

[0041] The adjustment preset module is further used to perform permutation and combination based on different preset values of the first eccentric bolt adjustment and the preset value of the second eccentric bolt adjustment to obtain multiple pairs of adjustment preset values, and further obtain an adjustment preset value data set;

[0042] The simulation adjustment module is further used to control the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on the adjustment preset value data set, and obtain multiple pairs of angle adjustment simulation values after adjustment, and the pair of angle adjustment simulation values includes a simulated camber angle adjustment value and a simulated toe angle adjustment value;

[0043] The simulation adjustment module is further used to obtain an angle adjustment simulation value data set based on the pair of angle adjustment simulation values.

[0044] Further, the optimal screening module is further configured to screen the angle adjustment simulation value dataset based on the preset upper and lower limit ranges of the camber angle theory and the upper and lower limit ranges of the toe angle theory, so as to obtain a valid angle adjustment simulation value dataset;

[0045] The optimal screening module is further configured to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt based on the valid angle adjustment simulation value dataset; wherein,

[0046] The camber angle adjustment simulation value and the toe angle adjustment simulation value in the valid angle adjustment simulation value dataset are both within the upper and lower limit ranges of the camber angle theory or the upper and lower limit ranges of the toe angle theory.

[0047] Further, the optimal screening module is further configured to form a second-level valid angle adjustment simulation value dataset based on the angle adjustment simulation value pairs corresponding to the first eccentric bolt adjustment preset value or the second eccentric bolt adjustment preset value being 0 in the valid angle adjustment simulation value dataset;

[0048] The optimal screening module is further configured to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt based on the second-level valid angle adjustment simulation value dataset.

[0049] Further, the optimal screening module is further configured to form a third-level valid angle adjustment simulation value dataset by the angle adjustment simulation value pairs in the second-level valid angle adjustment simulation value dataset where the first eccentric bolt adjustment preset value and the second eccentric bolt adjustment preset value are integers;

[0050] The optimal screening module is further configured to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt based on the third-level valid angle adjustment simulation value dataset.

[0051] Further, the optimal screening module is further configured to obtain the angle adjustment simulation value closest to the camber angle theoretical value and the toe angle theoretical value in the third-level valid angle adjustment simulation value dataset, and further obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0052] In a third aspect, the present application provides a terminal device, which includes: a processor, a memory, a communication interface, and a bus; the processor, the memory, and the communication interface are connected through the bus and complete communication with each other; the memory stores executable program codes; the processor runs a program corresponding to the executable program codes by reading the executable program codes stored in the memory, so as to execute the four-wheel alignment deviation adjustment method mentioned in the first aspect.

[0053] Fourthly, the present application provides a storage medium storing a program which, when running on a terminal device, executes the four-wheel alignment deviation adjustment method mentioned in the first aspect.

[0054] The beneficial effects brought by the technical solutions provided by the present application include:

[0055] Based on different preset values of the first eccentric bolt and the second eccentric bolt for simulation adjustment, the present application selects according to the obtained simulated values of camber angle adjustment and toe angle adjustment, and obtains the optimal simulated values of camber angle adjustment and toe angle adjustment, so as to conveniently and quickly obtain the adjustment parameters in the early stage of actual adjustment, thereby improving the working efficiency of four-wheel alignment deviation adjustment. Description of the Drawings

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0057] Figure 1 It is a flowchart of the steps of the four-wheel alignment deviation adjustment method provided in the embodiments of the present application;

[0058] Figure 2 It is a construction flowchart of the simulation mechanism model M in the four-wheel alignment deviation adjustment method provided in the embodiments of the present application S ;

[0059] Figure 3 It is a schematic diagram of the orientation of simulation adjustment in the four-wheel alignment deviation adjustment method provided in the embodiments of the present application;

[0060] Figure 4 It is a schematic structural diagram of the four-wheel alignment deviation adjustment device provided in the embodiments of the present application. Detailed Embodiments

[0061] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0062] The following further elaborates on the embodiments of the present application with reference to the drawings.

[0063] The embodiments of the present application provide a four-wheel alignment deviation adjustment method, device, terminal device, and storage medium. Based on different preset values of the first eccentric bolt adjustment and the second eccentric bolt adjustment, simulation adjustment is performed, and selection is made according to the obtained camber angle adjustment simulation value and the toe angle adjustment simulation value to obtain the optimal camber angle adjustment simulation value and the optimal toe angle adjustment simulation value, so as to conveniently and quickly obtain the adjustment parameters in the early stage of actual adjustment, thereby improving the work efficiency of four-wheel alignment deviation adjustment.

[0064] To achieve the above technical effects, the general idea of the present application is as follows:

[0065] A four-wheel alignment deviation adjustment method, the method includes the following steps:

[0066] A1. Obtain the camber angle measurement value and the toe angle measurement value of the vehicle to be adjusted, and compare them with the preset allowable range of deviation values;

[0067] A2. When the camber angle measurement value or the toe angle measurement value exceeds the preset allowable range of deviation values, import the preset simulation adjustment device;

[0068] A3. Use the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt adjustment and the second eccentric bolt adjustment, obtain the corresponding camber angle adjustment simulation value and toe angle adjustment simulation value after adjustment, and further obtain the optimal camber angle adjustment simulation value and the optimal toe angle adjustment simulation value;

[0069] A4. Based on the optimal camber angle adjustment simulation value and the optimal toe angle adjustment simulation value, obtain the optimal preset adjustment values of the corresponding first eccentric bolt and second eccentric bolt; wherein,

[0070] The first eccentric bolt is used to perform simulation adjustment on the camber angle;

[0071] The second eccentric bolt is used to perform simulation adjustment on the toe angle.

[0072] The following further elaborates on the embodiments of the present application with reference to the accompanying drawings.

[0073] In the first aspect, as shown in Figures 1 to 3 the embodiments of the present application provide a four-wheel alignment deviation adjustment method, the method includes the following steps:

[0074] A1. Obtain the camber angle measurement value and the toe angle measurement value of the vehicle to be adjusted, and compare them with the preset allowable range of deviation values;

[0075] A2. When the camber angle measurement value or the toe angle measurement value exceeds the preset allowable range of deviation values, import the preset simulation adjustment device;

[0076] A3. Using a simulation trimming device, based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, perform simulation trimming on the vehicle to be trimmed, obtain the corresponding camber trimming simulation values and toe angle trimming simulation values after trimming, and then obtain the optimal camber trimming simulation values and the optimal toe angle trimming simulation values;

[0077] A4. Based on the optimal camber trimming simulation values and the optimal toe angle trimming simulation values, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt; wherein,

[0078] The first eccentric bolt is used for simulating and trimming the camber angle;

[0079] The second eccentric bolt is used for simulating and trimming the toe angle.

[0080] Based on the technical solution of the embodiment of the present application, the specific process is as follows:

[0081] First, obtain the camber angle measurement value and toe angle measurement value of the vehicle to be trimmed. The acquisition method can be transmission from an external device or measurement using a preset measurement device. After acquisition, compare the camber angle measurement value with the allowable range of camber angle deviation values, and compare the toe angle measurement value with the allowable range of toe angle deviation values;

[0082] Then, when the camber angle measurement value or the toe angle measurement value exceeds the preset allowable range of deviation values, import the preset simulation trimming device, and subsequently, based on the hypothetical situation where both the camber angle measurement value and the toe angle measurement value exceed the preset allowable range of deviation values, the steps will be described;

[0083] Furthermore, using the simulation trimming device based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, perform simulation trimming on the vehicle to be trimmed, that is, select different first eccentric bolt adjustment preset values, use the simulated first eccentric bolt to simulate and trim the camber angle, select different second eccentric bolt adjustment preset values, use the simulated second eccentric bolt to simulate and trim the toe angle, so as to obtain different camber trimming simulation values and toe angle trimming simulation values after trimming, and screen out the optimal camber trimming simulation values and the optimal toe angle trimming simulation values therefrom;

[0084] Finally, the optimal camber trimming simulation values and the optimal toe angle trimming simulation values are the best states obtained through simulation. Based on this simulation situation, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0085] Based on different preset values of the first eccentric bolt and the second eccentric bolt, the technical solution of the embodiment of the present application performs simulation adjustment, and makes a selection according to the obtained simulated camber adjustment value and the simulated toe angle adjustment value, so as to obtain the optimal simulated camber adjustment value and the optimal simulated toe angle adjustment value, and conveniently and quickly obtain the adjustment parameters in the early stage of actual adjustment, thereby improving the working efficiency of four-wheel alignment deviation adjustment.

[0086] Specifically, the operation content of step S3 is described in detail. In this step, the simulation adjustment device is used to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt and the second eccentric bolt, and obtain the corresponding simulated camber adjustment value and the simulated toe angle adjustment value after adjustment. The specific steps are as follows:

[0087] The simulation adjustment device is used to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt and the second eccentric bolt, and obtain the corresponding camber adjustment change value and the toe angle adjustment change value after adjustment;

[0088] Based on the corresponding camber adjustment change value and the toe angle adjustment change value after adjustment, combined with the camber measurement value and the toe angle measurement value, the corresponding simulated camber adjustment value and the simulated toe angle adjustment value after adjustment are obtained.

[0089] In the actual operation process, in order to cope with the situation that both the camber measurement value and the toe angle measurement value exceed the preset deviation value permission range, the preset adjustment values of the first eccentric bolt and the second eccentric bolt can be combined to facilitate selection during simulation adjustment. Therefore, the method further includes the following steps:

[0090] Based on different preset values of the first eccentric bolt and the second eccentric bolt, perform permutation and combination to obtain multiple pairs of preset adjustment values, and then obtain a preset adjustment value data set;

[0091] The simulation adjustment device performs simulation adjustment on the vehicle to be adjusted based on the preset adjustment value data set, and obtains multiple pairs of angle adjustment simulation values after adjustment. The pair of angle adjustment simulation values includes a simulated camber adjustment value and a simulated toe angle adjustment value;

[0092] Based on the pair of angle adjustment simulation values, an angle adjustment simulation value data set is obtained.

[0093] Furthermore, the embodiment of the present application will screen the angle adjustment simulation value data set to select appropriate data parameters. Therefore, the method further includes the following steps:

[0094] Based on the preset upper and lower limit ranges of the camber angle theory and the upper and lower limit ranges of the toe angle theory, screen the angle adjustment simulation value dataset to obtain a valid angle adjustment simulation value dataset;

[0095] Based on the valid angle adjustment simulation value dataset, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt; wherein,

[0096] Both the camber angle adjustment simulation value and the toe angle adjustment simulation value in the valid angle adjustment simulation value dataset are within the upper and lower limit ranges of the camber angle theory or the upper and lower limit ranges of the toe angle theory.

[0097] Further, the embodiments of the present application will further screen the angle adjustment simulation value dataset to select appropriate data parameters. Therefore, the method further includes the following steps:

[0098] Based on the angle adjustment simulation value pairs corresponding to the first eccentric bolt adjustment preset value or the second eccentric bolt adjustment preset value being 0 in the valid angle adjustment simulation value dataset, form a second-level valid angle adjustment simulation value dataset;

[0099] Based on the second-level valid angle adjustment simulation value dataset, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0100] Further, the embodiments of the present application will further screen the angle adjustment simulation value dataset to select appropriate data parameters. Therefore, the method further includes the following steps:

[0101] In the second-level valid angle adjustment simulation value dataset, form a third-level valid angle adjustment simulation value dataset with the angle adjustment simulation value pairs where the first eccentric bolt adjustment preset value and the second eccentric bolt adjustment preset value are integers;

[0102] Based on the third-level valid angle adjustment simulation value dataset, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0103] Further, the embodiments of the present application will further screen the angle adjustment simulation value dataset to select appropriate data parameters. Therefore, the method further includes the following steps:

[0104] Obtain the angle adjustment simulation values in the third-level valid angle adjustment simulation value dataset that are closest to the camber angle theoretical value and the toe angle theoretical value, and then obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0105] Of course, if either the camber measurement value or the toe measurement value is within the allowable range of the preset deviation value, the simulation adjustment device is used to adjust the preset value based on different first eccentric bolts or the preset value based on different second eccentric bolts, and the vehicle to be adjusted is simulated and adjusted to obtain the corresponding simulated camber adjustment value or the simulated toe adjustment value after adjustment, and then the optimal simulated camber adjustment value or the optimal simulated toe adjustment value is obtained;

[0106] Furthermore, based on the optimal simulated camber adjustment value and the optimal simulated toe adjustment value, the optimal adjustment preset value of the corresponding first eccentric bolt or second eccentric bolt is obtained.

[0107] Taking the rear multi-link suspension of an automobile as an example, based on the technical solution of the embodiment of the present application, a practical operation process is given as follows:

[0108] S1. Use four-wheel alignment parameter measurement equipment to detect the actual four-wheel alignment parameter values of the vehicle to be adjusted, including the camber angle α and the toe angle β, compare them with the corresponding theoretical parameter values to obtain the camber deviation value δ1 and the toe deviation value δ2, and determine whether the deviation values are within the design-defined tolerance range. If they exceed, adjustment is required.

[0109] S2. Automatically import the camber angle α and the toe angle β of the vehicle to be adjusted into the simulation adjustment device, and use the optimal solution model M in the simulation adjustment device to derive the best adjustment plan.

[0110] S3. The operator performs corresponding adjustment work according to the best adjustment plan to achieve rapid adjustment of the four-wheel alignment parameter deviation.

[0111] Among them, a method for establishing an optimal solution model M is given, including the following steps:

[0112] S21. Use deviation analysis software based on the Monte Carlo simulation method to establish a three-dimensional deviation virtual simulation mechanism model M related to four-wheel alignment parameters S .

[0113] S22. Based on the adjustment amounts of the positions T1 of the eccentric bolts mainly for adjusting the camber angle and the positions T2 of the eccentric bolts for adjusting the toe angle, a deviation adjustment data set T is formed.

[0114] S23. Import the adjustment data set T as a variable into the mechanism model M S , and the mechanism model M S outputs an adjustment data set A corresponding to the data set T, which is composed of the camber angle and the toe angle change values Δα i , Δβ i ; among them,

[0115] (Δα i , Δβ i) ∈ A, where i represents the i-th set of adjustment data in dataset A.

[0116] S24. The optimal solution model M applies the optimal solution rule to output the best adjustment plan T i ; where

[0117] T i ∈ T, where i represents the i-th set of adjustment data in dataset T.

[0118] In step S23, the specific operations are as follows:

[0119] Set the adjustment amount at the eccentric bolt position T1 for adjusting the camber angle with a difference of 0.5 mm. That is, if the adjustment amount is ±6.0, the data sample is (-6.0, -5.5, -5.0, -4.5,..., 4.5, 5.0, 5.5, 6.0), with a total sample size of 25;

[0120] Set the adjustment amount at the eccentric bolt position T2 for adjusting the toe angle with a difference of 0.5 mm. That is, if the adjustment amount is ±6.0, the data sample is (-6.0, -5.5, -5.0, -4.5,..., 4.5, 5.0, 5.5, 6.0), with a total sample size of 25;

[0121] Arrange and combine the data samples at the eccentric bolt position T1 and the eccentric bolt position T2 to form 25×25, a total of 625 sets of adjustment datasets T.

[0122] In addition, the operation process of the optimal solution rule applied by the above optimal solution model M is as follows:

[0123] S241. Screen out the correct and valid adjustment data and the corresponding adjustment data to form the valid dataset K1;

[0124] S242. On the basis of the dataset K1, preferentially select the data with the least number of adjusted eccentric bolt positions to form a new dataset K2;

[0125] That is, screen the adjustment data T i in T 1i 、T 2i with "0", which means that the eccentric bolt position is not adjusted, so as to reduce the final adjustment workload.

[0126] S243. On the basis of the dataset K2, select the data in T i where T 1i 、T 2i are all integers to form a new dataset K3;

[0127] The adjustment data being an integer can effectively reduce the adjustment error.

[0128] S244. Select the data with the result closest to the design theoretical value from the dataset K3 as the best output adjustment data scheme T i ;

[0129] The determination rule is: min((α + Δα i - α n ) 2 +(β + Δβ i - β n ) 2 ).

[0130] Specifically, the screening method adopted in step S241 is:

[0131] Determine whether α + Δα i , β + Δβ i is within the ranges of (α n + T dα , α n + T uα ), (β n + T dβ , β n + T uβ ). If so, include Δα i , Δβ i and the corresponding T i in the valid dataset K1; where

[0132] α n is the design theoretical value of the camber angle, T dα is the lower limit value of the defined tolerance for the camber angle design, T uα is the upper limit value of the defined tolerance for the camber angle design, β n is the design theoretical value of the toe angle, T dβ is the lower limit value of the defined tolerance for the toe angle design, T uβ is the upper limit value of the defined tolerance for the toe angle design.

[0133] Based on the above operation process, the optimal adjustment strategy for the four-wheel alignment parameters of the suspension can be obtained conveniently and quickly, improving the production and manufacturing efficiency of the whole vehicle.

[0134] Of course, it should be noted that the above process takes the rear multi-link suspension of the vehicle as an example. The principle of the method for quickly adjusting the deviation of the four-wheel alignment parameters of other suspension systems of the vehicle is the same, and adaptive adjustment can be made.

[0135] Second, as shown in Figure 4 , based on the technical basis of the four-wheel alignment deviation adjustment method mentioned in the first aspect of the embodiments of the present application, a four-wheel alignment deviation adjustment device is provided. The device includes:

[0136] A parameter comparison module, which is used to obtain the camber measurement value and the toe angle measurement value of the vehicle to be adjusted, and compare them with the preset allowable deviation range;

[0137] A parameter import module, which is used to import a preset simulation adjustment device when the camber measurement value or the toe angle measurement value exceeds the preset allowable deviation range;

[0138] A simulation adjustment module, which is used to perform simulation adjustment by using the simulation adjustment device based on the preset value of the first eccentric bolt adjustment and the preset value of the second eccentric bolt adjustment, obtain the corresponding simulated camber adjustment value and the simulated toe angle adjustment value after adjustment, and further obtain the optimal simulated camber adjustment value and the optimal simulated toe angle adjustment value;

[0139] An optimal screening module, which is used to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and the second eccentric bolt based on the optimal simulated camber adjustment value and the optimal simulated toe angle adjustment value; wherein,

[0140] The first eccentric bolt is used to perform simulation adjustment on the camber;

[0141] The second eccentric bolt is used to perform simulation adjustment on the toe angle.

[0142] Based on the technical solution of the embodiment of the present application, the specific process is as follows:

[0143] First, obtain the camber measurement value and the toe angle measurement value of the vehicle to be adjusted. The acquisition method can be transmission from an external device or measurement using a preset measurement device. After acquisition, compare the camber measurement value with the allowable deviation range of the camber value, and compare the toe angle measurement value with the allowable deviation range of the toe angle value;

[0144] Then, when the camber measurement value or the toe angle measurement value exceeds the preset allowable deviation range, import the preset simulation adjustment device, and subsequent steps will be described based on the assumption that both the camber measurement value and the toe angle measurement value exceed the preset allowable deviation range;

[0145] Furthermore, use the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt adjustment and the second eccentric bolt adjustment, that is, select different preset values of the first eccentric bolt adjustment, use the simulated first eccentric bolt to perform simulation adjustment on the camber, select different preset values of the second eccentric bolt adjustment, use the simulated second eccentric bolt to perform simulation adjustment on the toe angle, so as to obtain different simulated camber adjustment values and simulated toe angle adjustment values after adjustment, and screen out the optimal simulated camber adjustment value and the optimal simulated toe angle adjustment value from them;

[0146] Finally, the optimal adjustment simulation values of the camber angle and the optimal adjustment simulation values of the toe angle are the best states obtained through simulation. Based on this simulation situation, the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt are obtained.

[0147] The technical solution of the embodiment of the present application performs simulation adjustment based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, and makes a selection according to the obtained camber angle adjustment simulation values and toe angle adjustment simulation values, so as to obtain the optimal adjustment simulation values of the camber angle and the optimal adjustment simulation values of the toe angle, and conveniently and quickly obtain the adjustment parameters in the early stage of actual adjustment, thereby improving the working efficiency of four-wheel alignment deviation adjustment.

[0148] Specifically, the simulation adjustment module is further configured to control the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, and obtain the corresponding camber angle adjustment change value and toe angle adjustment change value after adjustment;

[0149] The simulation adjustment module is further configured to, based on the corresponding camber angle adjustment change value and toe angle adjustment change value after adjustment, combine the camber angle measurement value and the toe angle measurement value, and obtain the corresponding camber angle adjustment simulation value and toe angle adjustment simulation value after adjustment.

[0150] Furthermore, the device further includes an adjustment preset module;

[0151] The adjustment preset module is further configured to perform permutation and combination based on different first eccentric bolt adjustment preset values and second eccentric bolt adjustment preset values, obtain a plurality of adjustment preset value pairs, and further obtain an adjustment preset value data set;

[0152] The simulation adjustment module is further configured to control the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on the adjustment preset value data set, and obtain a plurality of angle adjustment simulation value pairs corresponding to after adjustment, where the angle adjustment simulation value pairs include camber angle adjustment simulation values and toe angle adjustment simulation values;

[0153] The simulation adjustment module is further configured to obtain an angle adjustment simulation value data set based on the angle adjustment simulation value pairs.

[0154] Furthermore, the optimal screening module is further configured to screen the angle adjustment simulation value data set based on the preset theoretical upper and lower limit ranges of the camber angle and the theoretical upper and lower limit ranges of the toe angle, and obtain an effective angle adjustment simulation value data set;

[0155] The optimal screening module is further configured to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt based on the effective angle adjustment simulation value data set; where

[0156] The camber adjustment simulated value and the toe angle adjustment simulated value in the effective angle adjustment simulated value dataset are both within the theoretical upper and lower limits of the camber angle or within the theoretical upper and lower limits of the toe angle.

[0157] Furthermore, the optimal screening module is also used to form a second-level effective angle adjustment simulated value dataset based on the angle adjustment simulated value pairs corresponding to the first eccentric bolt adjustment preset value or the second eccentric bolt adjustment preset value being 0 in the effective angle adjustment simulated value dataset.

[0158] The optimal screening module is also used to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt based on the second-level effective angle adjustment simulated value dataset.

[0159] Furthermore, the optimal screening module is also used to form a third-level effective angle adjustment simulated value dataset with the angle adjustment simulated value pairs in the second-level effective angle adjustment simulated value dataset where the first eccentric bolt adjustment preset value and the second eccentric bolt adjustment preset value are integers.

[0160] The optimal screening module is also used to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt based on the third-level effective angle adjustment simulated value dataset.

[0161] Furthermore, the optimal screening module is also used to obtain the angle adjustment simulated value in the third-level effective angle adjustment simulated value dataset that is closest to the theoretical camber angle value and the theoretical toe angle value, and then obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

[0162] In a third aspect, based on the four-wheel alignment deviation adjustment method mentioned in the first aspect of the embodiments of the present application, a terminal device is provided. The terminal device includes: a processor, a memory, a communication interface, and a bus; the processor, the memory, and the communication interface are connected through the bus and complete communication with each other; the memory stores executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory to execute the four-wheel alignment deviation adjustment method mentioned in the first aspect.

[0163] In a fourth aspect, based on the four-wheel alignment deviation adjustment method mentioned in the first aspect of the embodiments of the present application, a storage medium is provided. The storage medium stores a program that, when running on a terminal device, executes the four-wheel alignment deviation adjustment method mentioned in the first aspect.

[0164] It should be noted that in this application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0165] The above are only specific embodiments of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features claimed herein.

Claims

1. A four-wheel alignment deviation adjustment method, characterized in that The method includes the following steps: Obtain the camber measurement value and the toe angle measurement value of the vehicle to be adjusted, and compare them with the preset allowable deviation value range; When the camber measurement value or the toe angle measurement value exceeds the preset allowable deviation value range, import the preset simulation adjustment device; Use the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt and the preset values of the second eccentric bolt, obtain the corresponding simulated camber adjustment values and toe angle adjustment simulated values after adjustment, and screen out the optimal simulated camber adjustment value and the optimal toe angle adjustment simulated value; Based on the optimal simulated camber adjustment value and the optimal toe angle adjustment simulated value, obtain the optimal adjustment preset values of the corresponding first eccentric bolt and the second eccentric bolt; wherein, The first eccentric bolt is used to perform simulation adjustment on the camber; The second eccentric bolt is used to perform simulation adjustment on the toe angle; The method further includes the following steps: S1. Use a four-wheel alignment parameter measurement device to detect the actual four-wheel alignment parameter values of the vehicle to be adjusted, including the camber angle α and the toe angle β, compare them with the corresponding theoretical parameter values to obtain the camber deviation value δ1 and the toe angle deviation value δ2, and determine whether the deviation value is within the design-defined tolerance range. If it exceeds, adjustment is required; S2. Automatically import the camber angle α and the toe angle β of the vehicle to be adjusted into the simulation adjustment device, and use the optimal solution model M in the simulation adjustment device to derive the best adjustment plan; S3. The operator performs corresponding adjustment work according to the best adjustment plan to achieve rapid adjustment of the four-wheel alignment parameter deviation; The step S2 includes the following steps: S21. Establish a three-dimensional deviation virtual simulation mechanism model M related to four-wheel alignment parameters by using deviation analysis software based on the Monte Carlo simulation method S ; S22. Based on the adjustment amounts of the eccentric bolt position T1 mainly for adjusting the camber angle and the eccentric bolt position T2 for adjusting the toe angle, form a deviation adjustment data set T; S23. Import the adjusted dataset T as a variable into the mechanism model M S , the mechanism model M S outputs the camber angle and the change values of the toe angle Δα i , Δβ i that make up the adjustment dataset A; where (Δα i , Δβ i ) ∈ A, where i represents the i-th set of adjustment data in the dataset A; S24. The optimal solution model M applies the optimal solution rule to output the best adjustment plan T i ; where T i ∈ T, where i represents the i-th set of adjusted data in the data set T.

2. The four-wheel alignment deviation adjustment method according to claim 1, wherein, Use the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt and the preset values of the second eccentric bolt, and obtain the corresponding simulated camber adjustment values and toe angle adjustment simulated values after adjustment, including the following steps: Use the simulation adjustment device to perform simulation adjustment on the vehicle to be adjusted based on different preset values of the first eccentric bolt and the preset values of the second eccentric bolt, and obtain the corresponding camber adjustment change values and toe angle adjustment change values after adjustment; Based on the corresponding camber adjustment change values and toe angle adjustment change values after adjustment, combined with the camber measurement value and the toe angle measurement value, obtain the corresponding simulated camber adjustment values and toe angle adjustment simulated values after adjustment.

3. The four-wheel alignment deviation adjustment method according to claim 1, characterized in that The method further includes the following steps: Based on different preset values of the first eccentric bolt and the preset values of the second eccentric bolt, perform permutation and combination to obtain multiple pairs of adjustment preset values, and then obtain an adjustment preset value data set; The simulation adjustment device performs simulation adjustment on the vehicle to be adjusted based on the adjustment preset value data set, and obtains multiple pairs of angle adjustment simulation values after adjustment, and the angle adjustment simulation value pair includes a simulated camber adjustment value and a simulated toe angle adjustment value; Based on the angle adjustment simulation value pair, an angle adjustment simulation value data set is obtained.

4. The four-wheel alignment deviation adjustment method according to claim 3, characterized in that, The method further includes the following steps: Based on the preset upper and lower limit ranges of the camber angle theory and the upper and lower limit ranges of the toe angle theory, the angle adjustment simulation value data set is screened to obtain a valid angle adjustment simulation value data set; Based on the valid angle adjustment simulation value data set, the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt are obtained; wherein, The camber angle adjustment simulation value and the toe angle adjustment simulation value in the valid angle adjustment simulation value data set are both within the upper and lower limit ranges of the camber angle theory or the upper and lower limit ranges of the toe angle theory.

5. The four-wheel alignment deviation adjustment method according to claim 4, wherein, The method further includes the following steps: Based on the angle adjustment simulation value pair corresponding to the adjustment preset value of the first eccentric bolt or the second eccentric bolt being 0 in the valid angle adjustment simulation value data set, a second-level valid angle adjustment simulation value data set is formed; Based on the second-level valid angle adjustment simulation value data set, the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt are obtained.

6. The four-wheel alignment deviation adjustment method according to claim 5, wherein The method further includes the following steps: In the second-level valid angle adjustment simulation value data set, the angle adjustment simulation value pairs with the adjustment preset values of the first eccentric bolt and the second eccentric bolt being integers are formed into a third-level valid angle adjustment simulation value data set; Based on the third-level valid angle adjustment simulation value data set, the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt are obtained.

7. The four-wheel alignment deviation adjustment method according to claim 6, wherein The method further includes the following steps: Obtain the angle adjustment simulation value closest to the camber angle theoretical value and the toe angle theoretical value in the third-level valid angle adjustment simulation value data set, and further obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt.

8. A four-wheel alignment deviation adjustment device, characterized in that, The device includes: A parameter comparison module, which is used to obtain the camber angle measurement value and the toe angle measurement value of the vehicle to be adjusted, and compare them with the preset deviation value permission range; A parameter import module, which is used to import a preset simulation adjustment device when the camber angle measurement value or the toe angle measurement value exceeds the preset deviation value permission range; A simulation adjustment module, which is used to use the simulation adjustment device to perform simulation adjustment based on the adjustment preset values of the first eccentric bolt and the second eccentric bolt, obtain the corresponding camber angle adjustment simulation value and toe angle adjustment simulation value after adjustment, and screen out the optimal camber angle adjustment simulation value and the optimal toe angle adjustment simulation value; An optimal screening module, which is used to obtain the optimal adjustment preset values of the corresponding first eccentric bolt and second eccentric bolt based on the optimal camber angle adjustment simulation value and the optimal toe angle adjustment simulation value; wherein, The first eccentric bolt is used to perform simulation adjustment on the camber angle; The second eccentric bolt is used to perform simulation adjustment on the toe angle; The parameter comparison module is further used to detect the actual four-wheel alignment parameter values of the vehicle to be adjusted, including the camber angle α and the toe angle β, compare them with the corresponding theoretical parameter values to obtain the camber angle deviation value δ1 and the toe angle deviation value δ2, and determine whether the deviation value is within the design-defined tolerance range. If it exceeds, adjustment is required; The optimal screening module is further configured to automatically import the camber angle α and the toe angle β of the vehicle to be adjusted into the simulation adjustment device, and use the optimal solution model M in the simulation adjustment device to derive the best adjustment plan; The optimal screening module is further configured to establish a three-dimensional deviation virtual simulation mechanism model M related to four-wheel alignment parameters by using deviation analysis software based on the Monte Carlo simulation method S ; The optimal screening module is further configured to form a deviation adjustment data set T based on the adjustment amounts of the eccentric bolt position T1 for mainly adjusting the camber angle and the eccentric bolt position T2 for adjusting the toe angle; The optimal screening module is further configured to import the adjusted data set T as a variable into the mechanism model M S , the mechanism model M S outputs an adjustment data set A composed of the values of the camber angle and the change in the toe angle Δα i , Δβ i corresponding to the data set T; wherein, (Δα i , Δβ i ) ∈ A, where i represents the i-th set of adjustment data in the dataset A; The optimal screening module is further configured to use the optimal solution model M and the optimal solution rule to output the best adjustment plan T i ; wherein, T i ∈ T, where i represents the i-th set of adjusted data in the data set T.

9. A terminal device, characterized in that, The terminal device includes: a processor, a memory, a communication interface, and a bus; the processor, the memory, and the communication interface are connected through the bus and complete communication with each other; the memory stores executable program codes; the processor runs a program corresponding to the executable program codes by reading the executable program codes stored in the memory, so as to execute the four-wheel alignment deviation adjustment method according to any one of claims 1-7 above.

10. A storage medium, characterized in that, The storage medium stores a program, and when the program runs on the terminal device, it executes the four-wheel alignment deviation adjustment method according to any one of claims 1-7 above.

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