A debugging method and device for vehicle shock absorber

Abstract

The present invention discloses a debugging method and device for a vehicle shock absorber, the method comprising: when the shock absorber fails the whole vehicle test, obtaining multiple driving parameters of the vehicle; calculating the target damping force corresponding to each of the driving parameters, and combining each of the driving parameters with the corresponding target damping force into a parameter combination to obtain multiple parameter combinations; using the multiple parameter combinations to construct an optimization curve for adjusting the damping force, and adjusting the damping force of the shock absorber according to the optimization curve for the vehicle to perform a whole vehicle test. The present invention can adjust the damping force and re-execute the whole vehicle test when the whole vehicle test is different, so as to reduce repeated steps, shorten the test cycle, reduce the time consumption of debugging and improve the debugging efficiency; and can fit the damping force curve required by the whole vehicle, and can quickly adjust the damping force of the shock absorber according to the damping force curve, so that the adjustment efficiency is greatly improved; and the adjustment device is simple, portable, and has a lower investment cost.

Description

Background Art

[0002] With the development of economy, people's wealth is gradually increasing, and the number of vehicles purchased is also gradually increasing. In order to ensure travel safety, each device of the vehicle needs to be tested and debugged before production, so that each device can work stably and ensure vehicle safety. One of the devices for testing and debugging is the shock absorber.

[0003] The commonly used shock absorber debugging method is: first test the shock absorber, then test the damping force of the shock absorber, and finally install the shock absorber in the vehicle for the technician to evaluate the effect of the whole vehicle. If the evaluation does not meet the requirements, the shock absorber will be re-tested and the subsequent steps will be carried out until the ideal effect is achieved.

[0004] However, the commonly used methods currently have the following technical problems: when the vehicle evaluation results do not meet the requirements, it is necessary to start debugging from the beginning from the trial production of the shock absorber, which greatly increases the time consumption of debugging, prolongs the debugging cycle, and reduces the debugging efficiency. Summary of the invention

[0005] The present invention proposes a debugging method and device for a vehicle shock absorber. The method can analyze the damping force corresponding to the vehicle under different driving parameters when the whole vehicle evaluation does not meet the requirements, and re-test the whole vehicle according to the damping force to shorten the debugging time and improve the prompt efficiency.

[0006] A first aspect of an embodiment of the present invention provides a method for debugging a vehicle shock absorber, the method comprising:

[0007] When the shock absorber fails the vehicle test, multiple driving parameters of the vehicle are obtained;

[0008] Calculating a target damping force corresponding to each of the driving parameters, and combining each of the driving parameters and the corresponding target damping force into a parameter combination to obtain a plurality of parameter combinations;

[0009] The plurality of parameters are combined to construct an optimization curve for adjusting the damping force, and the damping force of the shock absorber is adjusted according to the optimization curve for whole vehicle testing of the vehicle.

[0010] In a possible implementation manner of the first aspect, calculating the target damping force corresponding to each of the driving parameters includes:

[0011] Acquire a plurality of different control currents of the shock absorber, and determine a plurality of damping forces generated by the shock absorber under the control of each of the different control currents;

[0012] The driving parameter and each of the damping forces form a speed cluster to obtain a plurality of speed clusters;

[0013] A target speed cluster is selected from the plurality of speed clusters using a genetic algorithm, and a damping force corresponding to the target speed cluster is used as a target damping force.

[0014] In a possible implementation manner of the first aspect, the selecting a target speed cluster from the multiple speed clusters by using a genetic algorithm includes:

[0015] The speed fitness corresponding to each of the speed clusters is calculated by using a transfer function to obtain a plurality of speed fitnesses, wherein each of the speed fitnesses is the fitness of the driving parameter and a damping force corresponding to the shock absorber under a control current;

[0016] A speed fitness with the largest value is selected from the multiple speed fitnesses as a target fitness, and a speed cluster corresponding to the target fitness is used as a target speed cluster.

[0017] In a possible implementation manner of the first aspect, adjusting the damping force of the shock absorber according to the optimization curve includes:

[0018] Acquire a test speed value of the whole vehicle test, and extract a corresponding test damping force from the optimization curve based on the test speed value;

[0019] A control current corresponding to the test damping force is determined, and the shock absorber is triggered to operate according to the control current.

[0020] In a possible implementation manner of the first aspect, the driving parameter includes a speed parameter and a displacement parameter;

[0021] The obtaining of multiple driving parameters of the vehicle includes:

[0022] Collect suspension driving parameters and height driving parameters of the vehicle when it is driving on the road through the vehicle terminal;

[0023] calculating an acceleration parameter based on the suspension travel parameter and the height travel parameter;

[0024] The velocity parameter and the displacement parameter are calculated respectively according to the acceleration parameter.

[0025] In a possible implementation manner of the first aspect, calculating the speed parameter includes:

[0026] The acceleration parameter is integrated to obtain a velocity parameter.

[0027] In a possible implementation manner of the first aspect, calculating the displacement parameter includes:

[0028] The velocity parameter is integrated to obtain a displacement parameter.

[0029] A second aspect of an embodiment of the present invention provides a debugging device for a vehicle shock absorber, the device comprising:

[0030] An acquisition module, used for acquiring a plurality of driving parameters of the vehicle when the whole vehicle test of the shock absorber fails;

[0031] A combination module, used for calculating the target damping force corresponding to each of the driving parameters, and combining each of the driving parameters with the corresponding target damping force into a parameter combination to obtain a plurality of parameter combinations;

[0032] The debugging module is used to construct an optimization curve for adjusting the damping force by using the plurality of parameter combinations, and adjust the damping force of the shock absorber according to the optimization curve for whole vehicle testing of the vehicle.

[0033] Compared with the prior art, the debugging method and device of a vehicle shock absorber provided by the embodiment of the present invention has the beneficial effect that: when the vehicle fails the whole vehicle test, the present invention can analyze the damping force and construct an optimization curve that can be used to adjust the damping force, and then adjust the damping force according to the optimization curve, and then conduct the whole vehicle test until the test is completed. The whole process does not need to repeat the operation from the shock absorber trial production, which can reduce repeated steps to shorten the test cycle, reduce the debugging time and improve the debugging efficiency; and can fit the damping force curve required by the whole vehicle, and can quickly adjust the damping force of the shock absorber according to the damping force curve, so that the adjustment efficiency is greatly improved; and the adjustment device is simple, portable, and has a lower investment cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of a debugging method of a vehicle shock absorber provided by one embodiment of the present invention;

[0035] Figure 2 is a schematic diagram of the connection structure of a shock absorber provided by an embodiment of the present invention;

[0036] Figure 3 It is an operation flow chart of a debugging method of a vehicle shock absorber provided by one embodiment of the present invention;

[0037] Figure 4 The present invention is a schematic structural diagram of a vehicle shock absorber debugging device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] The commonly used shock absorber debugging method is: first test the shock absorber, then test the damping force of the shock absorber, and finally install the shock absorber in the vehicle for the technician to evaluate the effect of the whole vehicle. If the evaluation does not meet the requirements, the shock absorber will be re-tested and the subsequent steps will be carried out until the ideal effect is achieved.

[0040] However, the commonly used methods currently have the following technical problems: when the vehicle evaluation results do not meet the requirements, it is necessary to start debugging from the beginning from the trial production of the shock absorber, which greatly increases the time consumption of debugging, prolongs the debugging cycle, and reduces the debugging efficiency.

[0041] In order to solve the above problems, a debugging method for a vehicle shock absorber provided in an embodiment of the present application will be introduced and explained in detail through the following specific embodiments.

[0042] Reference Figure 1 , showing a flow chart of a method for debugging a vehicle shock absorber provided by an embodiment of the present invention.

[0043] Wherein, as an example, the debugging method of the vehicle shock absorber may include:

[0044] S11. When the whole vehicle test of the shock absorber fails, a plurality of driving parameters of the vehicle are obtained.

[0045] In one embodiment, the detection process of the shock absorber can be monitored, and when the shock absorber fails the whole vehicle test, a plurality of parameters related to the vehicle driving are obtained to obtain the driving parameters.

[0046] In one embodiment, the driving parameter includes a speed parameter and a displacement parameter; specifically, the speed parameter is the driving speed of the vehicle, and the displacement parameter is the displacement distance of the vehicle.

[0047] As an example, step S11 may include the following sub-steps:

[0048] S111. Collect suspension driving parameters and height driving parameters of the vehicle when it is driving on the road through the vehicle-mounted terminal.

[0049] Reference Figure 2 , showing a schematic diagram of the connection structure of a shock absorber provided in one embodiment of the present invention.

[0050] In one embodiment, the vehicle-mounted terminal can be connected to the axle acceleration sensor, the frame acceleration sensor, the electronically controlled shock absorber and the displacement sensor respectively. The vehicle-mounted terminal can collect suspension driving parameters through the axle acceleration sensor, collect height driving parameters through the frame acceleration sensor, collect the damping force of the shock absorber and the current controlling the shock absorber through the electronically controlled shock absorber, and collect the displacement parameters of the vehicle through the displacement sensor.

[0051] S112. Calculate acceleration parameters based on the suspension driving parameters and the height driving parameters.

[0052] Specifically, the suspension driving parameters and the height driving parameters may be input into the vehicle-mounted terminal, and the vehicle-mounted terminal calculates the acceleration parameters.

[0053] S113. Calculate velocity parameters and displacement parameters respectively according to the acceleration parameters.

[0054] Specifically, the speed parameter is calculated as follows:

[0055] The acceleration parameter is integrated to obtain a velocity parameter.

[0056] Specifically, the displacement parameters are calculated as follows:

[0057] The velocity parameter is integrated to obtain a displacement parameter.

[0058] It should be noted that when calculating the acceleration parameters, the phase (compression or extension) of the suspension movement can be determined by the height sensor signal at the same time, and the drift phenomenon of the acceleration parameters can be corrected.

[0059] The acceleration sensor drift phenomenon is corrected by combining the acceleration sensor and the height sensor.

[0060] S12, calculating the target damping force corresponding to each of the driving parameters, and combining each of the driving parameters and the corresponding target damping force into a parameter combination to obtain a plurality of parameter combinations.

[0061] In one embodiment, the damping force required when the vehicle is traveling with the driving parameters may be calculated, and then the damping force and the driving parameters may be combined into a parameter combination for subsequent reference and adjustment.

[0062] In order to accurately calculate the required damping force, in an optional embodiment, step S12 may include the following sub-steps:

[0063] S121. Acquire a plurality of different control currents of the shock absorber, and determine a plurality of damping forces generated by the shock absorber under the control of each of the different control currents.

[0064] Reference Figure 2 It can be seen that the shock absorber used in the present application is an electronically controlled shock absorber. This type of shock absorber is controlled by electric current, that is, different damping forces can be generated when working under different currents.

[0065] Multiple different control currents can be obtained, and the range of the control current can be the acceptable current range of the shock absorber. For example, the shock absorber can accept a current of 1-10 amps, and 1 amp, 2 amps, 3.5 amps, 4 amps, 6 amps, 7.5 amps and 9 amps can be randomly selected within this range as the control current.

[0066] Then determine the damping force that the shock absorber can generate under different currents when the vehicle is driven by the driving parameters. For example, when the vehicle is driven by the first driving parameter, the shock absorber can generate the damping force of 0.01N / (m / s), 0.2N / (m / s) and 0.03N / (m / s) under the control of 1A control current; when the vehicle is driven by the fifth driving parameter, the shock absorber can generate 0.05N / (m / s), 0.08N / (m / s) and 0.37N / (m / s) under the control of 2A control current, etc.

[0067] Specifically, each control current may correspond to one or more damping forces.

[0068] Referring to the table below, the damping force of the shock absorber at different currents is shown.

[0069]

[0070]

[0071] S122, combining the driving parameter and each damping force into a speed cluster to obtain a plurality of speed clusters.

[0072] Then, the driving parameters and each damping force corresponding to each control current are combined into a speed cluster to obtain a plurality of speed clusters.

[0073] Continuing with the above example, the first driving parameter can be used to form a speed cluster with the three damping forces corresponding to the 1A control current, thus obtaining three speed clusters; the first driving parameter can be used to form a speed cluster with the five damping forces corresponding to the 2A control current, thus obtaining five speed clusters, and so on, thus obtaining multiple speed clusters.

[0074] S123: Utilize a genetic algorithm to select a target speed cluster from the plurality of speed clusters, and use a damping force corresponding to the target speed cluster as a target damping force.

[0075] In this embodiment, based on a genetic algorithm, a target speed cluster corresponding to each speed parameter can be obtained from a plurality of speed clusters corresponding to the speed parameter, and then the damping force corresponding to the target speed cluster is used as the target damping force.

[0076] In one embodiment, sub-step S123 may include:

[0077] S1231. Calculate the speed fitness corresponding to each of the speed clusters using a transfer function to obtain a plurality of speed fitnesses, wherein each of the speed fitnesses is the fitness of the driving parameter and a damping force corresponding to the shock absorber under a control current.

[0078] In this embodiment, the speed fitness corresponding to each speed cluster may be calculated using a transfer function to obtain a plurality of speed fitness corresponding to each driving parameter.

[0079] Since each speed cluster corresponds to a damping force corresponding to a control current, each speed adaptability also corresponds to a damping force corresponding to the shock absorber under a control current.

[0080] S1232: Filter the speed fitness with the largest value from the multiple speed fitnesses as the target fitness, and use the speed cluster corresponding to the target fitness as the target speed cluster.

[0081] The speed fitness with the largest value can be selected from multiple speed fitnesses as the target fitness, and finally the speed cluster corresponding to the target fitness is taken as the target speed cluster.

[0082] Since there are multiple driving parameters involved, and there are also multiple speed clusters corresponding to the driving parameters and calculated fitness, simultaneous calculation may increase the amount of calculation and reduce the calculation efficiency.

[0083] In an optional operation mode, according to the calculation mode of the genetic algorithm, the corresponding number of control currents can be selected according to the number of driving parameters, and each control current is different from each other. For example, if there are 5 driving parameters, 5 control currents are selected. Then, the driving parameters and control currents are randomly combined in pairs, and each damping force corresponding to the driving parameter and the currently combined control current is combined into a speed cluster, and then its fitness is calculated, and the maximum fitness is selected from them. Finally, the maximum fitness corresponding to the 5 driving parameters is calculated respectively, and then the control current of each driving parameter is cross-combined, so that each driving parameter can be combined with each damping force corresponding to the newly combined control current to form a new speed cluster, and then the subsequent operation is performed, and the maximum fitness retained by the previous operation is compared and screened with each newly calculated fitness, and this is repeated until the maximum fitness is selected.

[0084] For example, if there are five driving parameters, five control currents are selected, namely 1A, 2A, 3A, 4A, and 5A. Each control current corresponds to three damping forces. The first driving parameter and the three damping forces corresponding to the 1A control current are combined into three speed clusters, the second driving parameter and the three damping forces corresponding to the 2A control current are combined into three speed clusters, and the fifth driving parameter and the three damping forces corresponding to the 5A control current are combined into three speed clusters, and then they are calculated and screened to obtain the maximum fitness of each driving parameter. Then, cross-combination can be performed, the first driving parameter and the three damping forces corresponding to the 2A control current are combined into three speed clusters, the second driving parameter and the three damping forces corresponding to the 3A control current are combined into three speed clusters, and the fifth driving parameter and the three damping forces corresponding to the 1A control current are combined into three speed clusters, and then they are calculated and screened to obtain the maximum fitness of each driving parameter, and so on.

[0085] Finally, each driving parameter corresponds to 5 maximum fitnesses, and then the fitness with the largest value is selected from the 5 maximum fitnesses to obtain the maximum fitness corresponding to the driving parameter.

[0086] Through the above cross operation, the damping force matching the driving parameters can be calculated effectively and quickly.

[0087] Referring to the table below, the optimum damping force for different driving parameters is shown.

[0088] speed Current (A) Damping force -0.52 0 -680 -0.39 0.2 -448 -0.26 0.4 -264 -0.13 0.2 -256 -0.052 0 -190 0 0 0 0.052 0.4 342 0.13 0.2 2400 0.26 0 3960 0.39 0.4 2658 0.52 0.4 2862

[0089] S13, using the plurality of parameter combinations to construct an optimization curve for adjusting the damping force, and adjusting the damping force of the shock absorber according to the optimization curve for whole vehicle testing of the vehicle.

[0090] In this embodiment, each parameter combination includes a driving parameter and a damping force. A coordinate system can be constructed with the driving parameter as the vertical coordinate and the damping force as the horizontal coordinate. Each parameter combination is a point in the coordinate system. Multiple points are connected to obtain an optimization curve.

[0091] Users can adjust the damping force of the shock absorber according to the data in the optimization curve for subsequent vehicle testing.

[0092] In one embodiment, the specific operation of adjusting may include:

[0093] S131. Obtain a test speed value of the whole vehicle test, and extract a corresponding test damping force from the optimization curve based on the test speed value.

[0094] S132, determining a control current corresponding to the test damping force, and triggering the control shock absorber to operate according to the control current.

[0095] Specifically, the test speed value required for the whole vehicle test can be obtained, and then the corresponding test damping force is selected in the optimization curve based on the test speed value. Finally, the shock absorber is controlled to generate the corresponding damping force according to the control current corresponding to the test damping force, and then the whole vehicle is evaluated.

[0096] Reference Figure 3 , shows an operation flow chart of a vehicle shock absorber debugging method provided by an embodiment of the present invention.

[0097] Specifically, the test sample vehicle is prepared first, then the shock absorber is trial-produced, and then the damping force of the shock absorber is set and the vehicle with the shock absorber installed is tested as a whole vehicle, and the test results are evaluated. If the evaluation fails, the damping force analysis is performed, the optimal damping force is calculated and the corresponding optimization curve is constructed, and the damping force of the shock absorber is adjusted according to the optimization curve and the whole vehicle test is performed again.

[0098] In this embodiment, the embodiment of the present invention provides a debugging method for a vehicle shock absorber, and its beneficial effect is that: when the vehicle fails the whole vehicle test, the present invention can analyze the damping force and construct an optimization curve that can be used to adjust the damping force, and then adjust the damping force according to the optimization curve, and then conduct the whole vehicle test until the test is completed. The whole process does not need to repeat the operation from the shock absorber trial production, which can reduce repeated steps to shorten the test cycle, reduce the debugging time and improve the debugging efficiency; and can fit the damping force curve required by the whole vehicle, and can quickly adjust the damping force of the shock absorber according to the damping force curve, so that the adjustment efficiency is greatly improved; and the adjustment device is simple, portable, and has a lower investment cost.

[0099] The embodiment of the present invention also provides a debugging device for a vehicle shock absorber, see Figure 4 , showing a schematic structural diagram of a vehicle shock absorber debugging device provided by an embodiment of the present invention.

[0100] Wherein, as an example, the debugging device of the vehicle shock absorber may include:

[0101] An acquisition module 401 is used to acquire a plurality of driving parameters of the vehicle when the shock absorber fails the vehicle test;

[0102] A combination module 402, used for calculating the target damping force corresponding to each of the driving parameters, and combining each of the driving parameters with the corresponding target damping force into a parameter combination to obtain a plurality of parameter combinations;

[0103] The debugging module 403 is used to construct an optimization curve for adjusting the damping force by using the plurality of parameter combinations, and adjust the damping force of the shock absorber according to the optimization curve for whole vehicle testing of the vehicle.

[0104] Optionally, the combined module is further used for:

[0105] Acquire a plurality of different control currents of the shock absorber, and determine a plurality of damping forces generated by the shock absorber under the control of each of the different control currents;

[0106] The driving parameter and each of the damping forces form a speed cluster to obtain a plurality of speed clusters;

[0107] A target speed cluster is selected from the plurality of speed clusters using a genetic algorithm, and a damping force corresponding to the target speed cluster is used as a target damping force.

[0108] Optionally, the combined module is further used for:

[0109] The speed fitness corresponding to each of the speed clusters is calculated by using a transfer function to obtain a plurality of speed fitnesses, wherein each of the speed fitnesses is the fitness of the driving parameter and a damping force corresponding to the shock absorber under a control current;

[0110] A speed fitness with the largest value is selected from the multiple speed fitnesses as a target fitness, and a speed cluster corresponding to the target fitness is used as a target speed cluster.

[0111] Optionally, the debugging module is further used for:

[0112] Acquire a test speed value of the whole vehicle test, and extract a corresponding test damping force from the optimization curve based on the test speed value;

[0113] A control current corresponding to the test damping force is determined, and the shock absorber is triggered to operate according to the control current.

[0114] Optionally, the driving parameters include speed parameters and displacement parameters;

[0115] The acquisition module is also used for:

[0116] The vehicle's suspension and height parameters are collected through the vehicle terminal when the vehicle is driving on the road;

[0117] calculating an acceleration parameter based on the suspension travel parameter and the height travel parameter;

[0118] The velocity parameter and the displacement parameter are calculated respectively according to the acceleration parameter.

[0119] Optionally, calculating the speed parameter includes:

[0120] The acceleration parameter is integrated to obtain a velocity parameter.

[0121] Optionally, calculating the displacement parameter includes:

[0122] The velocity parameter is integrated to obtain a displacement parameter.

[0123] Those skilled in the art can clearly understand that, for the sake of convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0124] Furthermore, an embodiment of the present application also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the debugging method for the vehicle shock absorber as described in the above embodiment is implemented.

[0125] Furthermore, an embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the debugging method of the vehicle shock absorber as described in the above embodiment.

[0126] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for debugging a vehicle shock absorber, characterized in that: The method comprises: When the shock absorber fails the vehicle test, multiple driving parameters of the vehicle are obtained; Calculating a target damping force corresponding to each of the driving parameters, and combining each of the driving parameters and the corresponding target damping force into a parameter combination to obtain a plurality of parameter combinations; Using the plurality of parameter combinations to construct an optimization curve for adjusting the damping force, and adjusting the damping force of the shock absorber according to the optimization curve for whole vehicle testing of the vehicle; The calculating the target damping force corresponding to each of the driving parameters comprises: Acquire a plurality of different control currents of the shock absorber, and determine a plurality of damping forces generated by the shock absorber under the control of each of the different control currents; The driving parameter and each of the damping forces form a speed cluster to obtain a plurality of speed clusters; Using a genetic algorithm to select a target speed cluster from the plurality of speed clusters, and using a damping force corresponding to the target speed cluster as a target damping force; The method of selecting a target speed cluster from the plurality of speed clusters by using a genetic algorithm comprises: The speed fitness corresponding to each of the speed clusters is calculated by using a transfer function to obtain a plurality of speed fitnesses, wherein each of the speed fitnesses is the fitness of the driving parameter and a damping force corresponding to the shock absorber under a control current; A speed fitness with the largest value is selected from the multiple speed fitnesses as a target fitness, and a speed cluster corresponding to the target fitness is used as a target speed cluster.

2. The debugging method of the vehicle shock absorber according to claim 1, characterized in that: The adjusting the damping force of the shock absorber according to the optimization curve comprises: Acquire a test speed value of the whole vehicle test, and extract a corresponding test damping force from the optimization curve based on the test speed value; A control current corresponding to the test damping force is determined, and the shock absorber is triggered to operate according to the control current.

3. The debugging method of the vehicle shock absorber according to claim 1, characterized in that: The driving parameters include speed parameters and displacement parameters; The obtaining of multiple driving parameters of the vehicle includes: Collect suspension driving parameters and height driving parameters of the vehicle when it is driving on the road through the vehicle terminal; calculating an acceleration parameter based on the suspension travel parameter and the height travel parameter; The velocity parameter and the displacement parameter are calculated respectively according to the acceleration parameter.

4. The debugging method of the vehicle shock absorber according to claim 3, characterized in that: Calculating the speed parameter includes: The acceleration parameter is integrated to obtain a velocity parameter.

5. The debugging method of the vehicle shock absorber according to claim 4, characterized in that: Calculating the displacement parameter includes: The velocity parameter is integrated to obtain a displacement parameter.

6. A vehicle shock absorber debugging device, characterized in that: The device comprises: An acquisition module, used for acquiring a plurality of driving parameters of the vehicle when the whole vehicle test of the shock absorber fails; A combination module, used for calculating the target damping force corresponding to each of the driving parameters, and combining each of the driving parameters with the corresponding target damping force into a parameter combination to obtain a plurality of parameter combinations; A debugging module, configured to construct an optimization curve for adjusting the damping force by using the plurality of parameter combinations, and to adjust the damping force of the shock absorber according to the optimization curve for whole vehicle testing of the vehicle; The combined module is also used for: Acquire a plurality of different control currents of the shock absorber, and determine a plurality of damping forces generated by the shock absorber under the control of each of the different control currents; The driving parameter and each of the damping forces form a speed cluster to obtain a plurality of speed clusters; Using a genetic algorithm to select a target speed cluster from the plurality of speed clusters, and using a damping force corresponding to the target speed cluster as a target damping force; The combined module is also used for: The speed fitness corresponding to each of the speed clusters is calculated by using a transfer function to obtain a plurality of speed fitnesses, wherein each of the speed fitnesses is the fitness of the driving parameter and a damping force corresponding to the shock absorber under a control current; A speed fitness with the largest value is selected from the multiple speed fitnesses as a target fitness, and a speed cluster corresponding to the target fitness is used as a target speed cluster.

7. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the debugging method for a vehicle shock absorber according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the debugging method for a vehicle shock absorber according to any one of claims 1 to 5.

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