Jitter analysis method, device, equipment, medium and product of new energy tractor

Abstract

The invention discloses a jitter analysis method and device for a new energy tractor, equipment, a medium and a product, and relates to the technical field of vehicle engineering.The jitter analysis method comprises the steps that a simulation vehicle model corresponding to a target new energy tractor is obtained, and simulation tire positions corresponding to simulation vehicle tires are determined according to the simulation vehicle model; simulation road spectrum information corresponding to a simulation road surface where the simulation vehicle model is located is obtained, and simulation vehicle speed information corresponding to the simulation vehicle model is obtained; inputting the simulated tire position, the simulated road spectrum information and the simulated vehicle speed information into a vehicle jitter amount prediction model for predicting a predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes through the simulated deceleration strip; and performing jitter analysis on the target new energy tractor according to the predicted jitter amount. According to the method, the effect of carrying out simulation analysis on the vibration of the new energy tractor passing through the deceleration strip is achieved, a designer is helped to carry out structure optimization on the new energy tractor, and the vibration problem of the new energy tractor passing through the deceleration strip is avoided or reduced.

Description

Technical Field

[0001] The present invention relates to the field of vehicle engineering technology, and in particular to a vibration analysis method, device, equipment, medium and product for a new energy tractor. Background Art

[0002] In recent years, the new energy vehicle industry has flourished, and the scale of the new energy market has continued to expand. At present, major commercial vehicle companies have also launched new energy tractors. Due to the special layout of new energy tractors, batteries or natural gas tanks are often placed in the middle of the frame, and the mass can reach 2-4 tons. Tests have found that this layout is easy to cause severe vibration of the middle and rear axles and the cab when the vehicle passes over speed bumps at low speed without load, which seriously affects the comfort of the passengers.

[0003] Therefore, there is an urgent need for a method for jitter analysis of new energy tractors to help designers further optimize the structure of new energy tractors. Summary of the invention

[0004] The present invention provides a vibration analysis method, device, equipment, medium and product for a new energy tractor, so as to help designers to further optimize the structure of the new energy tractor and avoid or reduce the vibration problem when going over speed bumps.

[0005] According to one aspect of the present invention, a vibration analysis method for a new energy tractor is provided, comprising:

[0006] Acquire a simulated vehicle model corresponding to the target new energy tractor, and determine a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model;

[0007] Acquire simulated road spectrum information corresponding to the simulated road surface where the simulated vehicle model is located, and acquire simulated vehicle speed information corresponding to the simulated vehicle model; wherein the simulated road surface includes at least one simulated speed bump;

[0008] Inputting the simulated tire position, the simulated road spectrum information and the simulated vehicle speed information into a vehicle jitter prediction model to predict the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump;

[0009] A jitter analysis is performed on the target new energy tractor according to the predicted jitter amount.

[0010] According to another aspect of the present invention, a vibration analysis device for a new energy tractor is provided, comprising:

[0011] A simulated tire position determination module, used to obtain a simulated vehicle model corresponding to a target new energy tractor, and determine a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model;

[0012] An information acquisition module, used to acquire simulated road spectrum information corresponding to the simulated road surface where the simulated vehicle model is located, and to acquire simulated vehicle speed information corresponding to the simulated vehicle model; wherein the simulated road surface includes at least one simulated speed bump;

[0013] A predicted jitter amount determination module, used for inputting the simulated tire position, the simulated road spectrum information and the simulated vehicle speed information into a vehicle jitter amount prediction model, and used for predicting the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump;

[0014] The jitter analysis module is used to perform jitter analysis on the target new energy tractor according to the predicted jitter amount.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the jitter analysis method for a new energy traction vehicle described in any one of the present inventions.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement any one of the jitter analysis methods for new energy tractors of the present invention when executed.

[0020] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the vibration analysis method for a new energy tractor according to any one of the present inventions.

[0021] The present invention obtains a simulated vehicle model corresponding to a target new energy tractor, and determines a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model; obtains simulated road spectrum information corresponding to a simulated road surface where the simulated vehicle model is located, and obtains simulated vehicle speed information corresponding to the simulated vehicle model; wherein the simulated road surface includes at least one simulated speed bump; the simulated tire position, simulated road spectrum information and simulated vehicle speed information are input into a vehicle jitter amount prediction model to predict the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump; and performs jitter analysis on the target new energy tractor according to the predicted jitter amount, thereby predicting the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump based on various simulation parameters in a simulation environment, such as simulated tire position, simulated road spectrum information and simulated vehicle speed information, using the vehicle jitter amount prediction model to achieve the effect of simulating and analyzing the jitter of the new energy tractor passing over the speed bump, which is helpful to help designers optimize the structure of the new energy tractor and avoid or reduce the jitter problem when passing over the speed bump.

[0022] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1A A flowchart of a vibration analysis method for a new energy tractor provided in the first embodiment of the present invention;

[0025] Figure 1B A schematic diagram of a simulated vehicle model provided in Embodiment 1 of the present invention;

[0026] Figure 2 A flowchart of a vibration analysis method for a new energy tractor provided in the second embodiment of the present invention;

[0027] Figure 3 A schematic diagram of the structure of a vibration analysis device for a new energy tractor provided in Embodiment 3 of the present invention;

[0028] Figure 4 It is a structural schematic diagram of an electronic device for implementing the vibration analysis method of a new energy tractor vehicle according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "simulation", "sample", "prediction", "standard", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1A This is a flow chart of a vibration analysis method for a new energy tractor provided in the first embodiment of the present invention. This embodiment is applicable to the case of simulating and analyzing the vibration of a new energy tractor when it passes over a speed bump. The method can be executed by a vibration analysis device for a new energy tractor, which can be implemented in the form of hardware and / or software. Figure 1A As shown, the method includes:

[0033] S101. Obtain a simulated vehicle model corresponding to a target new energy tractor, and determine a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model.

[0034] Among them, the target new energy tractor refers to any new energy tractor with the need for simulation analysis of jitter when passing over speed bumps. New energy tractor refers to a traction vehicle that uses new energy as a power source, including but not limited to solar energy, wind energy, geothermal energy, tidal energy, etc., as well as batteries, fuel cells and other energy sources. Compared with traditional fuel-driven tractors, new energy tractors are environmentally friendly, efficient, and low-carbon, and can effectively reduce energy consumption and pollution emissions, meeting the requirements of sustainable development.

[0035] The simulated vehicle model refers to the whole vehicle modeling model obtained by using the simulation modeling software to simulate the target new energy tractor. The simulated vehicle model includes at least one simulated vehicle tire. For example, the simulated vehicle model may include ten simulated vehicle tires, etc. The simulated tire position refers to the relative position of each simulated vehicle tire in the simulated vehicle model. It can be understood that different simulated vehicle tires correspond to different simulated tire positions.

[0036] In one embodiment, the simulated vehicle model may be generated in the following manner:

[0037] 1) Determine the three-dimensional model of the target new energy tractor, including the body system, frame system, powertrain system, transmission system, suspension system, braking system, etc.

[0038] 2) Determine the material properties of each assembly and component in the three-dimensional model, including the elastic modulus, Poisson's ratio, density, etc. of the material. The damping of metal materials adopts an empirical value of 0.04.

[0039] 3) Determine the transmission ratio of each gear of the target new energy tractor transmission, the speed ratio of each gear of the power steering mechanism, and the speed ratio of the drive axle.

[0040] 4) Clean up the geometry, remove unnecessary and minor modeling defects, and delete other non-essential parts in the model.

[0041] 5) After completion, start meshing. The mesh model requirements are as follows:

[0042] A. 3D tetrahedron or 3D hexahedron mesh is used for body parts and needs to be converted to second order. The mesh unit size is defined according to the overall size of the part and shall not be less than 10mm. The unit size should be able to truly express the chamfer, bend and other features of the part. It is necessary to ensure that there are no deformed units such as those that are too small or too sharp. The software inspection function can be used for inspection.

[0043] B. Transmission housing, drive axle housing, meshing gears, etc. use 3D hexahedral meshes. The mesh unit size is defined according to the overall size of the parts. Considering the calculation efficiency, the size should be as large as possible, and the recommended size should not be less than 15-20mm. It is necessary to ensure that there are no deformed units such as too small volume and too sharp angles. The software inspection function can be used for inspection.

[0044] C. The bearings, splines, suspension rubbers, air springs, etc. inside the assembly are established using 1D units.

[0045] D. The properties of each component must be defined according to the actual material properties, and the damping of metal materials uses an empirical value of 0.04.

[0046] E. Establish corresponding contact pairs between each assembly and the internal connection area of ​​each assembly or use reb2 / cbush to connect, and constrain the bearing position. After the mesh division is completed, output it as a .hm format model file.

[0047] F. Flexible tire model: Flexible tire model based on experimental test data, CD-Tire or F-Tire.

[0048] The above completes the simulation modeling of the target new energy tractor, and accordingly obtains the simulation vehicle model corresponding to the target new energy tractor. Based on the obtained simulation vehicle model, the simulation tire position corresponding to each simulation vehicle tire is further determined.

[0049] Figure 1B A schematic diagram of a simulated vehicle model provided in the first embodiment of the present invention is shown in FIG. Figure 1B Shown is a simulated vehicle model obtained by simulating and modeling the target new energy tractor.

[0050] S102, obtaining simulated road spectrum information corresponding to the simulated road surface where the simulated vehicle model is located, and obtaining simulated vehicle speed information corresponding to the simulated vehicle model.

[0051] The simulated road surface is obtained by using simulation modeling software to simulate the road surface where the simulated vehicle model is located. The simulated road surface includes at least one simulated speed bump, which is obtained by using simulation modeling software to simulate the road surface.

[0052] The simulated road spectrum information is a power spectrum density curve used to describe the roughness of the simulated road surface. After the simulation modeling software generates the simulated road surface, the simulated road spectrum information corresponding to the generated simulated road surface can be directly obtained through the simulation modeling software. The simulated vehicle speed information refers to the vehicle speed information corresponding to the driving of the simulated vehicle model simulated by the simulation modeling software, such as 10km / h, 20km / h, 30km / h, etc. The simulated vehicle speed information can be set and adjusted according to actual needs.

[0053] S103, inputting the simulated tire position, simulated road spectrum information and simulated vehicle speed information into a vehicle jitter prediction model to predict the predicted jitter generated by the simulated vehicle model when the simulated vehicle tire passes over a simulated speed bump.

[0054] Among them, the vehicle jitter prediction model is a machine learning model with the ability to predict vehicle jitter, that is, the vehicle jitter prediction model can predict the jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump as the predicted jitter amount. The jitter amount can reflect the degree of jitter generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump, including but not limited to the displacement amount generated by each component in the simulated vehicle model, and the acceleration amount generated by each component in the simulated vehicle model.

[0055] It is understandable that the vehicle jitter prediction model can be generated through model training, such as by taking sample road spectrum information, sample vehicle speed information, and sample tire position as model training samples, and combining the sample labels corresponding to the model training samples, and training the training model to generate the vehicle jitter prediction model. This embodiment does not limit the specific type and structure of the vehicle jitter prediction model.

[0056] In one embodiment, the simulated tire position, simulated road spectrum information and simulated vehicle speed information are used as input features of a vehicle jitter amount prediction model and input into the vehicle jitter amount prediction model, so that the vehicle jitter amount prediction model can predict the jitter amount based on the simulated tire position, simulated road spectrum information and simulated vehicle speed information, and output the predicted jitter amount.

[0057] S104: Perform jitter analysis on the target new energy tractor according to the predicted jitter amount.

[0058] In one embodiment, the predicted jitter amount is visualized based on the predicted jitter amount output by the vehicle jitter amount prediction model, such as visually displaying the predicted displacement amount generated by each component in the simulated vehicle model, or visually displaying the predicted acceleration amount generated by each component in the simulated vehicle model, thereby assisting designers in performing jitter analysis on the target new energy tractor according to the visualization results.

[0059] In another embodiment, the predicted jitter amount output by the vehicle jitter amount prediction model is compared with the jitter amount threshold to determine whether the simulated vehicle model has jitter abnormality. For example, if the predicted displacement amount generated by each component in the simulated vehicle model is compared with the displacement amount threshold, if the predicted displacement amount is greater than the displacement amount threshold, it indicates that the simulated vehicle model has jitter abnormality, and then jitter abnormality prompt information is generated; if the predicted acceleration amount generated by each component in the simulated vehicle model is compared with the acceleration amount threshold, if the predicted acceleration amount is greater than the acceleration amount threshold, it indicates that the simulated vehicle model has jitter abnormality, and then jitter abnormality prompt information is generated.

[0060] The embodiment of the present invention obtains a simulated vehicle model corresponding to a target new energy tractor, and determines a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model; obtains simulated road spectrum information corresponding to a simulated road surface where the simulated vehicle model is located, and obtains simulated vehicle speed information corresponding to the simulated vehicle model; wherein the simulated road surface includes at least one simulated speed bump; inputs the simulated tire position, simulated road spectrum information and simulated vehicle speed information into a vehicle jitter amount prediction model, for predicting the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump; performs jitter analysis on the target new energy tractor according to the predicted jitter amount, thereby predicting the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump based on various simulation parameters in a simulation environment, such as simulated tire position, simulated road spectrum information and simulated vehicle speed information, and achieving the effect of simulating and analyzing the jitter of the new energy tractor passing over the speed bump, which is helpful to help designers optimize the structure of the new energy tractor and avoid or reduce the jitter problem when passing over the speed bump.

[0061] Embodiment 2

[0062] Figure 2 This is a flow chart of a vibration analysis method for a new energy tractor provided in the second embodiment of the present invention. This embodiment further optimizes and expands the above embodiment and can be combined with the above optional implementations. Figure 2 As shown, the method includes:

[0063] S201. Obtain a simulated vehicle model corresponding to a target new energy tractor, and determine a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model.

[0064] Among them, since the simulated vehicle tires are flexible tires, the simulated vehicle tires contact the ground at multiple points, that is, the simulated tire position includes at least two simulated ground contact points. For example, each simulated tire position is set to a 11*11 matrix, that is, each simulated tire position includes 121 simulated ground contact points.

[0065] S202: Determine the time interval between each simulated touchdown point and the simulated speed bump according to the simulated vehicle speed information and the simulated touchdown point position, as the delayed excitation time corresponding to each simulated touchdown point position.

[0066] Among them, since the positions of the simulated grounding points are different, when the simulated vehicle tires pass over the simulated speed bumps, the contact time between the simulated grounding points and the simulated speed bumps is different, that is, there is a time interval between the contact between the simulated grounding points and the simulated speed bumps. The delayed excitation time can be understood as the loading of the time-limited excitation to simulate the process of each simulated grounding point rolling over the speed bumps.

[0067] Exemplarily, assuming that any simulated vehicle tire includes simulated grounding point position 1, simulated grounding point position 2, simulated grounding point position 3, simulated grounding point position 4 and simulated grounding point position 5, when the simulated vehicle tire passes over the simulated speed bump, the order in which the simulated grounding point positions contact the simulated speed bump is simulated grounding point position 1, simulated grounding point position 2, simulated grounding point position 3, simulated grounding point position 4 and simulated grounding point position 5, assuming that the time interval corresponding to the simulated grounding point position 2 and the simulated grounding point position 1 is t1, the time interval corresponding to the simulated grounding point position 3 and the simulated grounding point position 2 is t2, the time interval corresponding to the simulated grounding point position 4 and the simulated grounding point position 3 is t3, and the time interval corresponding to the simulated grounding point position 5 and the simulated grounding point position 4 is t4, then the delayed excitation time corresponding to the simulated grounding point position 1 is 0, the delayed excitation time corresponding to the simulated grounding point position 2 is t1, the delayed excitation time corresponding to the simulated grounding point position 3 is t2, the delayed excitation time corresponding to the simulated grounding point position 4 is t3, and the delayed excitation time corresponding to the simulated grounding point position 5 is t4.

[0068] S203, inputting the simulated road spectrum information, the simulated vehicle speed information, the positions of each simulated ground contact point and the delayed excitation time corresponding to each simulated ground contact point into the vehicle jitter prediction model, which is used to predict the predicted jitter generated by the simulated vehicle model when the simulated vehicle tires pass over the simulated speed bumps.

[0069] In one embodiment, simulated road spectrum information, simulated vehicle speed information, each simulated grounding point position and the delayed excitation time corresponding to each simulated grounding point position are used as input features of a vehicle jitter amount prediction model and input into the vehicle jitter amount prediction model, so that the vehicle jitter amount prediction model can predict the jitter amount based on the simulated road spectrum information, simulated vehicle speed information, each simulated grounding point position and the delayed excitation time corresponding to each simulated grounding point position, and output the predicted jitter amount.

[0070] The time interval between each simulated ground contact point and the simulated speed bump is determined based on the simulated vehicle speed information and the simulated ground contact point position as the delayed excitation time corresponding to each simulated ground contact point position; the simulated road spectrum information, the simulated vehicle speed information, each simulated ground contact point position and the delayed excitation time corresponding to each simulated ground contact point position are input into a vehicle jitter prediction model to predict the predicted jitter generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump. Since the simulated tire position is further refined into at least two simulated ground contact point positions and the delayed excitation time corresponding to each simulated ground contact point position is introduced when predicting the jitter, the accuracy and rationality of the predicted jitter generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump are further guaranteed.

[0071] Optionally, the vehicle jitter prediction model is generated in the following way:

[0072] Generate model training samples based on sample road spectrum information, sample vehicle speed information, sample grounding point locations and sample delayed excitation times corresponding to each sample grounding point location; determine the standard jitter amount based on the sample labels of the model training samples, and train the model to be trained based on the model training samples and the standard jitter amount to generate a vehicle jitter amount prediction model.

[0073] Among them, the sample road spectrum information, sample vehicle speed information, sample grounding point position and the sample delay excitation time corresponding to each sample grounding point position are used as the model training samples corresponding to the model to be trained. The sample label of the model training sample is the manually labeled jitter amount (standard jitter amount), which indicates the jitter amount that the simulated vehicle model should generate when the simulated vehicle tire passes over the simulated speed bump under the conditions of the sample road spectrum information, sample vehicle speed information, sample grounding point position and the sample delay excitation time corresponding to each sample grounding point position.

[0074] In one embodiment, the model training samples are input into the model to be trained, the model to be trained makes predictions based on the model training samples, and outputs the predicted jitter amount to be optimized, and further calculates the loss value based on the jitter amount to be optimized and the standard jitter amount, so that the model to be trained is back-propagated based on the loss value for model training, and finally a vehicle jitter amount prediction model is generated.

[0075] Model training samples are generated based on sample road spectrum information, sample vehicle speed information, sample grounding point locations and sample delayed excitation times corresponding to each sample grounding point location; standard jitter amounts are determined based on sample labels of model training samples, and the model to be trained is trained based on the model training samples and the standard jitter amounts to generate a vehicle jitter amount prediction model. The trained vehicle jitter amount prediction model can then be used to predict the jitter amount, thereby ensuring the feasibility of jitter amount simulation prediction.

[0076] S204: Perform vibration analysis on the target new energy tractor according to the predicted vibration amount.

[0077] Optionally, the predicted jitter amount includes the predicted displacement amount of each vehicle component in the simulated vehicle model.

[0078] The predicted displacement refers to the displacement of each vehicle component in the simulated vehicle model predicted by the vehicle jitter prediction model when the simulated vehicle tire passes over the simulated speed bump. The predicted displacement can reflect the degree of jitter of the simulated vehicle model, that is, the larger the predicted displacement, the more serious the jitter of the simulated vehicle model.

[0079] Optionally, a jitter analysis is performed on the target new energy tractor according to the predicted jitter amount, including:

[0080] 1) Determine the time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted displacement corresponding to each passing time point in the passing time period.

[0081] Among them, the predicted displacement output by the vehicle vibration prediction model refers to the predicted displacement corresponding to each time point, thereby determining the passing time period of the simulated vehicle tires passing the simulated speed bump, and determining the predicted displacement corresponding to each passing time point based on each passing time point in the passing time period.

[0082] 2) Generate a simulated driving animation corresponding to the simulated vehicle model driving over the simulated speed bump according to each driving time point and the predicted displacement corresponding to each driving time point.

[0083] In one embodiment, simulation software is used to generate a simulated driving animation corresponding to the simulated vehicle model driving over the simulated speed bump according to each driving time point and the predicted displacement corresponding to each driving time point.

[0084] 3) Play the simulated driving animation so that the designer can perform jitter analysis on the target new energy tractor according to the simulated driving animation.

[0085] By determining the time period when the simulated vehicle tires pass over the simulated speed bump, and determining the predicted displacement corresponding to each passing time point in the passing time period; generating a simulated passing animation corresponding to the simulated vehicle model passing over the simulated speed bump according to each passing time point and the predicted displacement corresponding to each passing time point; playing the simulated passing animation for the designer to perform jitter analysis on the target new energy tractor according to the simulated passing animation, the effect of visually displaying the predicted displacement generated by the simulated vehicle model when the simulated vehicle tires pass over the simulated speed bump is achieved, which is helpful to assist designers in optimizing the structure of the new energy tractor and avoiding or reducing the jitter problem when passing over speed bumps.

[0086] Optionally, the predicted jitter amount includes a predicted acceleration amount of a seat rail in a simulated vehicle model.

[0087] The predicted acceleration refers to the acceleration of the seat rails in the simulated vehicle model predicted by the vehicle vibration prediction model when the simulated vehicle tires pass over the simulated speed bump. The predicted acceleration can reflect the degree of vibration of the seat rails of the simulated vehicle model, that is, the larger the predicted acceleration, the more serious the vibration of the seat rails of the simulated vehicle model.

[0088] Optionally, a jitter analysis is performed on the target new energy tractor according to the predicted jitter amount, including:

[0089] 1) Determine the time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted acceleration corresponding to each passing time point in the passing time period.

[0090] Among them, the predicted acceleration quantity output by the vehicle jitter prediction model refers to the predicted acceleration quantity corresponding to each time point, which further determines the passing time period of the simulated vehicle tires passing the simulated speed bump, and determines the predicted acceleration quantity corresponding to each passing time point according to each passing time point in the passing time period.

[0091] 2) Taking each passing time point as the horizontal coordinate and the predicted acceleration value corresponding to each passing time point as the vertical coordinate, a schematic diagram of the acceleration value change is generated.

[0092] In one embodiment, a diagram of the acceleration change corresponding to the seat rails in the simulated vehicle model when the simulated vehicle model passes over a simulated speed bump is generated using mapping software based on each passing time point and the predicted acceleration amount corresponding to each passing time point.

[0093] 3) Display the acceleration measurement change diagram so that designers can conduct jitter analysis on the target new energy tractor according to the acceleration measurement change diagram.

[0094] By determining the time period in which the simulated vehicle tire passes over the simulated speed bump, and determining the predicted acceleration corresponding to each passing time point in the passing time period; using each passing time point as the horizontal coordinate, and using the predicted acceleration corresponding to each passing time point as the vertical coordinate, a schematic diagram of the acceleration change is generated; the schematic diagram of the acceleration change is displayed for the designer to perform jitter analysis on the target new energy tractor according to the schematic diagram of the acceleration change, thereby achieving the effect of visually displaying the acceleration corresponding to the seat rail in the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump, which is helpful to assist designers in optimizing the structure of the new energy tractor and avoiding or reducing the jitter problem when passing over speed bumps.

[0095] Optionally, after determining the predicted acceleration measure corresponding to each passing time point in the passing time period, the method further includes:

[0096] The predicted acceleration value corresponding to each passing time point is compared with the acceleration value threshold; if there is at least one predicted acceleration value corresponding to the passing time point that is greater than the acceleration value threshold, a jitter abnormality prompt message is generated.

[0097] The acceleration threshold is used to determine whether the simulated vehicle model has abnormal jitter.

[0098] In one embodiment, if the predicted acceleration values ​​corresponding to all passing time points are less than or equal to the acceleration value threshold, it indicates that there is no jitter abnormality in the simulated vehicle model; if there is a predicted acceleration value corresponding to at least one passing time point that is greater than the acceleration value threshold, it indicates that there is a jitter abnormality in the simulated vehicle model, and then a jitter abnormality prompt information is generated.

[0099] By comparing the predicted acceleration values ​​corresponding to each passing time point with the acceleration value threshold, if there is at least one predicted acceleration value corresponding to the passing time point that is greater than the acceleration value threshold, a jitter abnormality prompt message is generated, thereby automatically determining whether the simulated vehicle model has jitter abnormality. When it is determined that the simulated vehicle model has jitter abnormality, jitter abnormality prompt message is automatically generated, which is helpful to assist designers in optimizing the structure of new energy tractors and avoiding or reducing jitter problems when going over speed bumps.

[0100] Embodiment 3

[0101] Figure 3 This is a schematic diagram of the structure of a vibration analysis device for a new energy tractor provided in the third embodiment of the present invention. Figure 3 As shown, the device comprises:

[0102] A simulated tire position determination module 31 is used to obtain a simulated vehicle model corresponding to a target new energy tractor, and determine a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model;

[0103] The information acquisition module 32 is used to acquire the simulated road spectrum information corresponding to the simulated road surface where the simulated vehicle model is located, and to acquire the simulated vehicle speed information corresponding to the simulated vehicle model; wherein the simulated road surface includes at least one simulated speed bump;

[0104] A predicted jitter amount determination module 33, used for inputting the simulated tire position, the simulated road spectrum information and the simulated vehicle speed information into a vehicle jitter amount prediction model, and used for predicting the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump;

[0105] The jitter analysis module 34 is used to perform jitter analysis on the target new energy tractor according to the predicted jitter amount.

[0106] Optionally, the simulated tire position includes at least two simulated contact point positions;

[0107] The predicted jitter amount determination module 33 is specifically used to:

[0108] Determine, according to the simulated vehicle speed information and the simulated touchdown point position, a time interval between each simulated touchdown point position and the simulated speed bump as a delayed excitation time corresponding to each simulated touchdown point position;

[0109] The simulated road spectrum information, the simulated vehicle speed information, the simulated ground contact point positions and the delayed excitation time corresponding to each simulated ground contact point position are input into a vehicle jitter prediction model to predict the predicted jitter generated by the simulated vehicle model when the simulated vehicle tires pass over the simulated speed bumps.

[0110] Optionally, the predicted jitter amount includes the predicted displacement amount of each vehicle component in the simulated vehicle model;

[0111] The jitter analysis module 34 is specifically used for:

[0112] Determine a time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted displacements corresponding to each passing time point in the passing time period;

[0113] generating a simulated passing animation corresponding to the simulated vehicle model passing over the simulated speed bump according to each of the passing time points and the predicted displacements respectively corresponding to the passing time points;

[0114] The simulated driving animation is played so that the designer can perform a vibration analysis on the target new energy tractor according to the simulated driving animation.

[0115] Optionally, the predicted jitter amount includes a predicted acceleration amount of a seat rail in the simulated vehicle model;

[0116] The jitter analysis module 34 is specifically used for:

[0117] Determine a time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted acceleration amounts corresponding to each passing time point in the passing time period;

[0118] Using each of the passing time points as a horizontal coordinate and the predicted acceleration values ​​corresponding to each of the passing time points as a vertical coordinate, a schematic diagram of acceleration value change is generated;

[0119] The acceleration measurement change schematic diagram is displayed so that designers can perform jitter analysis on the target new energy tractor according to the acceleration measurement change schematic diagram.

[0120] Optionally, the device further includes a jitter abnormality prompt information generating module, which is specifically used to:

[0121] Comparing the predicted acceleration values ​​corresponding to each of the passing time points with an acceleration value threshold;

[0122] If the predicted acceleration value corresponding to at least one of the passing time points is greater than the acceleration value threshold, abnormal jitter prompt information is generated.

[0123] Optionally, the vehicle jitter prediction model is generated in the following manner:

[0124] Generate a model training sample according to the sample road spectrum information, the sample vehicle speed information, the sample grounding point position and the sample delayed excitation time corresponding to each of the sample grounding point positions;

[0125] The standard jitter amount is determined according to the sample labels of the model training samples, and the to-be-trained model is trained according to the model training samples and the standard jitter amount to generate the vehicle jitter amount prediction model.

[0126] The jitter analysis device for a new energy tractor provided in an embodiment of the present invention can execute the jitter analysis method for a new energy tractor provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0127] Embodiment 4

[0128] Figure 4 A schematic diagram of the structure of an electronic device 40 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0129] like Figure 4As shown, the electronic device 40 includes at least one processor 41, and a memory connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 to the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0130] A number of components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0131] The processor 41 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as the jitter analysis method for a new energy tractor.

[0132] In some embodiments, the jitter analysis method for a new energy tractor can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the jitter analysis method for the new energy tractor described above can be performed. Alternatively, in other embodiments, the processor 41 can be configured to perform the jitter analysis method for the new energy tractor by any other appropriate means (for example, by means of firmware).

[0133] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0134] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0135] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0136] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0137] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0138] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0139] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0140] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A vibration analysis method for a new energy tractor, characterized in that: include: Acquire a simulated vehicle model corresponding to the target new energy tractor, and determine a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model; Acquire simulated road spectrum information corresponding to the simulated road surface where the simulated vehicle model is located, and acquire simulated vehicle speed information corresponding to the simulated vehicle model; wherein the simulated road surface includes at least one simulated speed bump; Inputting the simulated tire position, the simulated road spectrum information and the simulated vehicle speed information into a vehicle jitter prediction model to predict the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump; A jitter analysis is performed on the target new energy tractor according to the predicted jitter amount.

2. The method according to claim 1, characterized in that The simulated tire position includes at least two simulated ground contact point positions; The step of inputting the simulated tire position, the simulated road spectrum information and the simulated vehicle speed information into a vehicle jitter amount prediction model for predicting the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump includes: Determine, according to the simulated vehicle speed information and the simulated touchdown point position, a time interval between each simulated touchdown point position and the simulated speed bump as a delayed excitation time corresponding to each simulated touchdown point position; The simulated road spectrum information, the simulated vehicle speed information, the simulated ground contact point positions and the delayed excitation time corresponding to the simulated ground contact point positions are input into a vehicle jitter prediction model to predict the predicted jitter generated by the simulated vehicle model when the simulated vehicle tires pass over the simulated speed bumps.

3. The method according to claim 1, characterized in that: The predicted jitter amount includes the predicted displacement amount of each vehicle component in the simulated vehicle model; The performing jitter analysis on the target new energy tractor according to the predicted jitter amount includes: Determine a time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted displacements corresponding to each passing time point in the passing time period; generating a simulated passing animation corresponding to the simulated vehicle model passing over the simulated speed bump according to each of the passing time points and the predicted displacements respectively corresponding to the passing time points; The simulated driving animation is played so that the designer can perform a vibration analysis on the target new energy tractor according to the simulated driving animation.

4. The method according to claim 1, characterized in that The predicted jitter amount includes a predicted acceleration amount of a seat rail in the simulated vehicle model; The performing jitter analysis on the target new energy tractor according to the predicted jitter amount includes: Determine a time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted acceleration amounts corresponding to each passing time point in the passing time period; Using each of the passing time points as a horizontal coordinate and the predicted acceleration values ​​corresponding to each of the passing time points as a vertical coordinate, a schematic diagram of acceleration value change is generated; The acceleration measurement change schematic diagram is displayed so that designers can perform jitter analysis on the target new energy tractor according to the acceleration measurement change schematic diagram.

5. The method according to claim 4, after determining the predicted acceleration amount corresponding to each passing time point in the passing time period, further comprising: Comparing the predicted acceleration values ​​corresponding to each of the passing time points with an acceleration value threshold; If the predicted acceleration value corresponding to at least one of the passing time points is greater than the acceleration value threshold, abnormal jitter prompt information is generated.

6. The method according to claim 2, characterized in that The vehicle vibration prediction model is generated in the following way: Generate a model training sample according to the sample road spectrum information, the sample vehicle speed information, the sample grounding point position and the sample delayed excitation time corresponding to each of the sample grounding point positions; The standard jitter amount is determined according to the sample labels of the model training samples, and the to-be-trained model is trained according to the model training samples and the standard jitter amount to generate the vehicle jitter amount prediction model.

7. A vibration analysis device for a new energy tractor, characterized in that: include: A simulated tire position determination module, used to obtain a simulated vehicle model corresponding to a target new energy tractor, and determine a simulated tire position corresponding to at least one simulated vehicle tire according to the simulated vehicle model; An information acquisition module, used to acquire simulated road spectrum information corresponding to the simulated road surface where the simulated vehicle model is located, and to acquire simulated vehicle speed information corresponding to the simulated vehicle model; wherein the simulated road surface includes at least one simulated speed bump; A predicted jitter amount determination module, used for inputting the simulated tire position, the simulated road spectrum information and the simulated vehicle speed information into a vehicle jitter amount prediction model, and used for predicting the predicted jitter amount generated by the simulated vehicle model when the simulated vehicle tire passes over the simulated speed bump; The jitter analysis module is used to perform jitter analysis on the target new energy tractor according to the predicted jitter amount.

8. The device according to claim 7, characterized in that The simulated tire position includes at least two simulated ground contact point positions; The predicted jitter amount determination module is specifically used to: Determine, according to the simulated vehicle speed information and the simulated touchdown point position, a time interval between each simulated touchdown point position and the simulated speed bump as a delayed excitation time corresponding to each simulated touchdown point position; The simulated road spectrum information, the simulated vehicle speed information, the simulated ground contact point positions and the delayed excitation time corresponding to the simulated ground contact point positions are input into a vehicle jitter prediction model to predict the predicted jitter generated by the simulated vehicle model when the simulated vehicle tires pass over the simulated speed bumps.

9. The device according to claim 7, characterized in that The predicted jitter amount includes the predicted displacement amount of each vehicle component in the simulated vehicle model; The jitter analysis module is specifically used for: Determine a time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted displacements corresponding to each passing time point in the passing time period; generating a simulated passing animation corresponding to the simulated vehicle model passing over the simulated speed bump according to each of the passing time points and the predicted displacements respectively corresponding to the passing time points; The simulated driving animation is played so that the designer can perform a vibration analysis on the target new energy tractor according to the simulated driving animation.

10. The device according to claim 7, characterized in that The predicted jitter amount includes a predicted acceleration amount of a seat rail in the simulated vehicle model; The jitter analysis module is specifically used for: Determine a time period in which the simulated vehicle tire passes over the simulated speed bump, and determine the predicted acceleration amounts corresponding to each passing time point in the passing time period; Using each of the passing time points as a horizontal coordinate and the predicted acceleration values ​​corresponding to each of the passing time points as a vertical coordinate, a schematic diagram of acceleration value change is generated; The acceleration measurement change schematic diagram is displayed so that designers can perform jitter analysis on the target new energy tractor according to the acceleration measurement change schematic diagram.

11. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the jitter analysis method for a new energy traction vehicle according to any one of claims 1-6.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to execute the vibration analysis method for a new energy tractor according to any one of claims 1 to 6.

13. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for analyzing vibration of a new energy tractor according to any one of claims 1 to 6 is implemented.

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