Vehicle vibration simulation and evaluation method based on digital test road and related equipment thereof

Abstract

The invention provides a vehicle vibration simulation and evaluation method based on a digital test road and related equipment thereof. The method comprises the following steps: acquiring road spectrum data of a target road and constructing a digital dynamic model of a target vehicle; generating a time-varying vibration excitation signal based on the digital dynamic model and the road spectrum data; determining vibration response data of the target vehicle under the road working condition corresponding to the target road based on the time-varying vibration excitation signal; based on the vibration response data, performing correction processing on the digital dynamic model to obtain a target digital dynamic model matched with the real vibration characteristics of the target vehicle; and performing fatigue damage evaluation on the target vehicle through the target digital dynamic model and the vibration response data, and generating a corresponding vibration simulation evaluation report. Through the steps of the method, accurate simulation and evaluation of vibration response and fatigue damage of the vehicle under different road working conditions can be realized, and the accuracy and reliability of a vibration test evaluation result are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent testing, and in particular to a vehicle vibration simulation and evaluation method, device, electronic device and storage medium based on a digital test road. Background Technology

[0002] During actual driving, vehicles are subjected to a combination of factors, including road unevenness, changes in driving speed, and differences in operating conditions, resulting in complex vibration responses. Long-term vibration loads not only affect vehicle comfort and safety but may also lead to fatigue damage to the vehicle structure and onboard equipment. Therefore, simulating and evaluating the vibration response and fatigue durability of vehicles under different road conditions during the vehicle design and verification phase is of significant engineering importance.

[0003] Existing vehicle vibration simulation and evaluation methods typically rely on obtaining response data from real-vehicle road tests or shaking table tests, or employ simplified road models and dynamic models with fixed parameters for simulation analysis. These methods are costly, time-consuming, and struggle to cover complex and variable road conditions.

[0004] On the other hand, the dynamic models used are often difficult to dynamically correct based on the actual vibration response, resulting in a deviation between the simulated excitation and the real road excitation, which in turn affects the accuracy of the vibration response and fatigue assessment results.

[0005] Therefore, existing vehicle vibration simulation and evaluation methods based on digital test roads cannot dynamically correct the model based on the characteristics of the real road spectrum and the vehicle dynamic response, making it difficult to accurately simulate and evaluate vehicle vibration response and fatigue damage. Summary of the Invention

[0006] This invention provides a vehicle vibration simulation and evaluation method based on digital test roads, which solves the problem that existing vehicle vibration simulation and evaluation methods based on digital test roads cannot dynamically correct the model based on the actual road spectrum characteristics and vehicle dynamic response, thus making it difficult to accurately simulate and evaluate vehicle vibration response and fatigue damage.

[0007] In a first aspect, the present invention provides a method for simulating and evaluating vehicle vibration based on a digital test road, the method comprising the following steps: Acquire road spectrum data of the target road and construct a digital dynamic model of the target vehicle; Based on the digital dynamics model and the road spectrum data, a time-varying vibration excitation signal is generated. Based on the time-varying vibration excitation signal, determine the vibration response data of the target vehicle under the road conditions corresponding to the target road; Based on the vibration response data, the digital dynamic model is corrected to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle. The target vehicle is assessed for fatigue damage using the target digital dynamic model and the vibration response data, and a corresponding vibration simulation assessment report is generated.

[0008] Optionally, acquiring road spectrum data of the target road and constructing a digital dynamics model of the target vehicle includes: Acquire multiple road roughness data of the target road at different locations and / or under different driving conditions; The multiple road roughness data are processed by wavelet packet decomposition and reconstruction algorithm to obtain the corresponding road spectrum data. Obtain vehicle parameter data of the target vehicle, including structural parameters, mass parameters, and suspension parameters; Based on the structural parameters, mass parameters, and suspension parameters, a digital dynamic model of the target vehicle is constructed through multibody dynamics modeling.

[0009] Optionally, generating a time-varying vibration excitation signal based on the digital dynamic model and the road spectrum data includes: Based on the road spectrum data, determine the road excitation characteristic data of the target road; The road excitation characteristic data is dynamically mapped using the digital dynamic model to obtain the vibration response relationship of the target vehicle under the corresponding road conditions on the target road. Based on the vibration response relationship, the time-varying vibration excitation signal is determined.

[0010] Optionally, determining the vibration response data of the target vehicle under the corresponding road conditions on the target road based on the time-varying vibration excitation signal includes: Based on the vibration response relationship, the time-domain and frequency-domain responses of the time-varying vibration excitation signal are solved to determine the vibration state parameters of the target vehicle on the target road. Based on the vibration state parameters, vibration response data used to characterize the vibration state of the target vehicle are determined.

[0011] Optionally, the step of correcting the digital dynamic model based on the vibration response data to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle includes: Based on the vibration response data, the model error information of the digital dynamic model is determined; Based on the model error information, the model parameters in the digital dynamic model are updated to obtain the updated and adjusted model parameters; Based on the updated and adjusted model parameters, the digital dynamic model is reconstructed to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle.

[0012] Optionally, the step of assessing fatigue damage to the target vehicle using the target digital dynamic model and the vibration response data, and generating a corresponding vibration simulation assessment report, includes: Based on the target digital dynamic model and the vibration response data, the structural load characteristics of the target vehicle under the road conditions corresponding to the target road are determined; Based on the structural load characteristics, fatigue damage calculations are performed on the key structural parts of the target vehicle to obtain the corresponding fatigue damage assessment results. Based on the fatigue damage assessment results, a vibration simulation assessment report is generated to characterize the vibration durability performance of the target vehicle.

[0013] Optionally, after assessing the fatigue damage of the target vehicle using the target digital dynamics model and the vibration response data, and generating a corresponding vibration simulation assessment report, the method further includes: Based on the vibration simulation assessment report, key damaged structural components in the target vehicle were identified. For the critical damaged structural parts, the influencing factors that caused the damage were determined based on the corresponding vibration load sources and road condition characteristics. Based on the aforementioned influencing factors, improvement recommendations are generated to guide vehicle structure optimization and / or parameter adjustments.

[0014] Secondly, the present invention also provides a vehicle vibration simulation and evaluation device based on a digital test road, the vehicle vibration simulation and evaluation device based on a digital test road comprising: The first acquisition module is used to acquire road spectrum data of the target road and construct a digital dynamic model of the target vehicle; The first generation module is used to generate a time-varying vibration excitation signal based on the digital dynamic model and the road spectrum data; The first determining module is used to determine the vibration response data of the target vehicle under the road conditions corresponding to the target road based on the time-varying vibration excitation signal. The second acquisition module is used to perform correction processing on the digital dynamic model based on the vibration response data to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle. The evaluation module is used to evaluate the fatigue damage of the target vehicle using the target digital dynamic model and the vibration response data, and to generate a corresponding vibration simulation evaluation report.

[0015] Thirdly, the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the vehicle vibration simulation and evaluation method based on a digital test road provided by the present invention.

[0016] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the vehicle vibration simulation and evaluation method based on a digital test road provided by the invention.

[0017] This invention acquires road spectrum data of a target road and constructs a digital dynamic model of the target vehicle; based on the digital dynamic model and road spectrum data, a time-varying vibration excitation signal is generated; based on the time-varying vibration excitation signal, the vibration response data of the target vehicle under the corresponding road conditions on the target road is determined; based on the vibration response data, the digital dynamic model is corrected to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle; using the target digital dynamic model and vibration response data, fatigue damage is assessed on the target vehicle, and a corresponding vibration simulation assessment report is generated. Through the above methods and steps, accurate simulation and assessment of vehicle vibration response and fatigue damage under different road conditions can be achieved, improving the accuracy and reliability of vibration test assessment results. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of a vehicle vibration simulation and evaluation method based on a digital test road, provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of another vehicle vibration simulation and evaluation device based on a digital test road provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] like Figure 1 As shown, Figure 1 This is a flowchart of a vehicle vibration simulation and evaluation method based on a digital test road, provided by an embodiment of the present invention. The method includes the following steps: 101. Obtain road spectrum data of the target road and construct a digital dynamic model of the target vehicle.

[0022] In this embodiment of the invention, the above-mentioned vehicle vibration simulation and evaluation method based on digital test roads can be applied to a vehicle vibration simulation and evaluation platform based on digital test roads. The vehicle vibration simulation and evaluation platform based on digital test roads has functions such as vehicle vibration simulation data processing, vehicle vibration simulation data transmission and reception, and vehicle vibration simulation data memory storage. It can be built based on a server or server cluster. The server or server cluster can be an electronic device with vehicle vibration simulation data processing capabilities.

[0023] The target road mentioned above can refer to an actual or virtual road object on which vibration simulation evaluation of the target vehicle is required. It can be a digital mapping of a real road or a typical road model constructed according to test requirements. For example, the target road may include urban paved roads, rural gravel roads, test track corrugated roads, or a combination of roads under specific working conditions.

[0024] Specifically, the aforementioned vehicle vibration simulation and evaluation platform based on digital test roads can select a specific test road from the road acquisition system or existing road database as the target road according to test requirements, for subsequent acquisition and analysis of road spectrum data.

[0025] The aforementioned road spectrum data refers to a dataset used to characterize the roughness characteristics and statistical distribution features of a target road, reflecting the variation patterns of road undulations at different spatial frequencies or time scales. It generally exists in the form of power spectral density, spectral parameters, or equivalent spectra. Specifically, the aforementioned vehicle vibration simulation and evaluation platform based on a digital test road can collect road roughness data at different locations on the target road under different driving conditions, and process the collected data using wavelet packet decomposition and reconstruction algorithms to obtain road spectrum data that reflects the overall vibration characteristics of the road.

[0026] The aforementioned target vehicle can refer to a specific vehicle object that requires vibration response and fatigue damage assessment. It can be a whole vehicle or a vehicle system containing specific structures or on-board equipment.

[0027] In this embodiment, the target vehicle can be a certain type of special vehicle. The vehicle vibration simulation and evaluation platform based on the digital test road obtains basic data such as structural parameters, mass distribution parameters, and suspension parameters of the target vehicle through the vehicle parameter acquisition module, which is used for the subsequent construction of the digital dynamic model.

[0028] The aforementioned digital dynamics model refers to a model used to characterize the dynamic characteristics of a target vehicle in digital space. This model can describe the vibration transmission relationship and dynamic response characteristics of the vehicle under external excitation.

[0029] Specifically, the aforementioned vehicle vibration simulation and evaluation platform based on digital test roads can construct a digital dynamic model of the target vehicle based on its structural parameters, mass parameters, and suspension parameters through multibody dynamics modeling, which can then be used for subsequent excitation generation, response calculation, and model calibration.

[0030] Furthermore, the aforementioned road spectrum data can be represented using the following mixed probability distribution model:

[0031] In the formula, N represents the Gaussian distribution, Γ represents the Gamma distribution, and α is the mixing coefficient. x The magnitude of road unevenness. m 1 is the mean. s 1 represents the root mean square value. k Let θ be the center of the distribution and θ be the standard deviation.

[0032] The aforementioned road spectrum data may also include the spatial power spectral density function S(w, t), and further convert it into a time-varying power spectrum using vehicle speed v(t):

[0033] In the formula, oh Angular frequency, β The attenuation coefficient is... oh 0( t () is the time-varying dominant frequency. t For time.

[0034] 102. Based on the digital dynamic model and road spectrum data, a time-varying vibration excitation signal is generated.

[0035] In this embodiment of the invention, the aforementioned time-varying vibration excitation signal can refer to a vibration input signal that varies with time, used to simulate the actual road excitation experienced by the target vehicle during its travel on the target road. For example, the aforementioned vehicle vibration simulation and evaluation platform based on a digital test road can extract road excitation characteristics based on road spectrum data and combine them with the vehicle vibration transmission relationship characterized by a digital dynamic model to generate a time-varying vibration excitation signal that matches the characteristics of the target road and vehicle.

[0036] By using time-varying vibration excitation signals, the non-stationary characteristics of real road excitation can be reflected, avoiding the distortion of simulation results caused by using constant or simplified excitation.

[0037] Furthermore, the aforementioned time-varying vibration excitation signal is used to generate the driving signal using the inverse system method. Its core algorithm is as follows:

[0038] Where u(t) is the driving signal, H is the transmission transfer function, G is the system forward transfer function, and y d D(t) represents the desired response, and D(t) represents the time-varying disturbance term.

[0039] The time-varying disturbance term D(t) above is modeled as follows:

[0040] Among them, A i (t) is the time-varying amplitude, f i (τ) is the time-varying frequency. Phi For the initial phase, t It is the integral variable.

[0041] 103. Based on the time-varying vibration excitation signal, determine the vibration response data of the target vehicle under the corresponding road conditions on the target road.

[0042] In this embodiment of the invention, the aforementioned road conditions refer to the specific operating state of the target vehicle when it travels on the target road, which may include factors such as driving speed, load state, and road type combination. In this embodiment, the vehicle vibration simulation and evaluation platform based on the digital test road uses the road conditions of the target vehicle as constraints when generating excitation and calculating response, so that the excitation signal and vibration response are matched with the corresponding road conditions.

[0043] The aforementioned vibration response data refers to the vibration results generated by the target vehicle under the action of a time-varying vibration excitation signal, which is used to characterize the vibration state of the vehicle under the target road conditions. Generally, the vehicle vibration simulation and evaluation platform based on the digital test road can solve the time-domain and frequency-domain response of the time-varying vibration excitation signal according to the vibration response relationship, obtain vibration state parameters including displacement, acceleration or load changes, and form vibration response data accordingly.

[0044] Furthermore, the time-varying vibration excitation is generated using a convolutional spectrum representation:

[0045] Where h(t,τ) is the time-varying impulse response function, w(τ) is the Gaussian white noise process, t is the current moment of the system output response, and τ is the historical moment of the input excitation (road unevenness) acting on the system.

[0046] The time-varying impulse response function is modeled as follows:

[0047] Where, Φ i (t) is the time-varying modal shape function, ψ i (τ) is the spatial distribution function, ζ i ω i Let m be the modal damping ratio and natural frequency, and m be the modal order.

[0048] 104. Based on the vibration response data, the digital dynamic model is corrected to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle.

[0049] In this embodiment of the invention, the vehicle vibration simulation and evaluation platform based on the digital test road can adjust and reconstruct the parameters of the digital dynamic model based on vibration response data to improve the model's fit to the actual vehicle vibration behavior.

[0050] Specifically, model error information can be determined based on the aforementioned vibration response data, and model parameters can be updated and adjusted based on the error information to obtain a corrected digital dynamic model of the target.

[0051] The aforementioned real vibration characteristics can refer to the actual vibration behavior characteristics exhibited by the target vehicle during actual road driving, including but not limited to characteristic data such as vibration amplitude distribution, frequency characteristics, and load change trends.

[0052] In this embodiment, by comparing the vibration response data output by the model before and after correction, it can be determined whether the model can accurately reflect the real vibration characteristics of the target vehicle, and this can be used as the evaluation basis for the model correction effect.

[0053] The aforementioned target digital dynamic model refers to a dynamic model that, after model calibration, can reflect the actual vibration behavior of the target vehicle under the corresponding road conditions in digital space with high consistency. Compared with the initially constructed digital dynamic model, the target digital dynamic model is not based solely on vehicle design parameters or theoretical assumptions, but rather integrates the actual dynamic characteristics reflected by vibration response data, thereby achieving an effective approximation of the actual vibration characteristics of the target vehicle.

[0054] Specifically, in this embodiment, the vehicle vibration simulation and evaluation platform based on the digital test road first constructs an initial digital dynamic model. Subsequently, based on the obtained vibration response data, the difference between the vibration response result output by the initial model and the vibration response data is analyzed to determine the error distribution of the model in different frequency ranges, different vibration amplitude intervals, or different structural parts. Based on the determined model error information, the key model parameters in the digital dynamic model are updated and adjusted. The model parameters may include, but are not limited to, vehicle structural stiffness parameters, damping parameters, mass distribution parameters, and suspension dynamics-related parameters. By updating and adjusting the model parameters, the deviation between the vibration response result output by the model under the same road excitation conditions and the vibration response data is gradually reduced. The adjusted model parameters are then recombined and calculated to form a corrected digital dynamic model.

[0055] Furthermore, the following update law can be used to adaptively iteratively learn and control the model for correction:

[0056] Where k is the iteration number, Q, L, and R are the learning filters, and e k r(t) represents the tracking error, and r(t) represents the reference signal. u k ( t ) represents the stimulus at the kth iteration, and q is a variable.

[0057] The model parameters can also be updated using the following adaptive update mechanism, where:

[0058] Where, θ t For model parameters, m t Let L be the adaptive learning rate and y be the loss function. t For the measured response, For the model to predict the response, ▽ θ Let θ be the gradient operator for the parameter vector θ.

[0059] The model can also be corrected using a multi-timescale update strategy as shown below:

[0060] Where, Δ fast Θ represents the fast time-varying parameter update amount, Δ slow Θ represents the slow time-varying parameter update amount, and α represents the fusion coefficient.

[0061] 105. Using the target's digital dynamic model and vibration response data, assess the fatigue damage of the target vehicle and generate a corresponding vibration simulation assessment report.

[0062] In this embodiment of the invention, the vehicle vibration simulation and evaluation platform based on the digital test road can evaluate the damage degree of key structural parts of the target vehicle under long-term vibration load based on the target digital dynamic model and vibration response data.

[0063] Specifically, structural load characteristics can be determined based on vibration response data, and fatigue damage calculations can be performed on key structural parts of the target vehicle to obtain fatigue damage assessment results.

[0064] The aforementioned vibration simulation assessment report can refer to an analytical report that comprehensively summarizes the vibration response and fatigue damage assessment results of the target vehicle under target road conditions.

[0065] In this embodiment, the vibration simulation evaluation platform generates a vibration simulation evaluation report based on the fatigue damage evaluation results, which includes vibration characteristic analysis, damage distribution and durability performance evaluation, to guide vehicle design optimization or performance verification.

[0066] Among these, fatigue damage assessment can be performed using the critical plane method based on multiaxial stress states:

[0067] in, eq ( i , F , t ) is the time-varying equivalent stress, ( i , F ) represents the critical plane azimuth angle, N f [ eq ( i , F , t [The amplitude is] eq ( i , F , t The stress cycle value, TFor time.

[0068] In this embodiment of the invention, road spectrum data of the target road is acquired and a digital dynamic model of the target vehicle is constructed. Based on the digital dynamic model and the road spectrum data, a time-varying vibration excitation signal is generated. Based on the time-varying vibration excitation signal, the vibration response data of the target vehicle under the corresponding road conditions on the target road is determined. Based on the vibration response data, the digital dynamic model is corrected to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle. Through the target digital dynamic model and the vibration response data, fatigue damage assessment of the target vehicle is performed, and a corresponding vibration simulation assessment report is generated. The above methods and steps enable accurate simulation and assessment of vehicle vibration response and fatigue damage under different road conditions, improving the accuracy and reliability of vibration test assessment results.

[0069] Optionally, in the steps of acquiring road spectrum data of the target road and constructing a digital dynamics model of the target vehicle, multiple road roughness data of the target road at different locations and / or under different driving conditions can also be acquired; the multiple road roughness data can be processed by wavelet packet decomposition and reconstruction algorithms to obtain the corresponding road spectrum data; vehicle parameter data of the target vehicle can be acquired, including structural parameters, mass parameters and suspension parameters; based on the structural parameters, mass parameters and suspension parameters, a digital dynamics model of the target vehicle can be constructed through multibody dynamics modeling.

[0070] In this embodiment of the invention, the aforementioned road roughness data refers to the raw measurement data used to characterize the undulation of the target road surface. It reflects the height variation characteristics of the road at different spatial locations or under different driving conditions, and can generally be represented in the form of discrete sampling points, reflecting the height variation of the road surface relative to a reference plane. For example, the aforementioned vehicle vibration simulation and evaluation platform based on a digital test road can collect data on the road surface at different locations and / or under different driving conditions of the target road to obtain multiple road roughness data. For instance, corresponding road roughness data can be collected at different lane positions, different road segment lengths, or different vehicle speeds on the target road for subsequent generation of road spectrum data.

[0071] The aforementioned data acquisition and feedback can be used for state estimation using a hybrid algorithm combining Kalman filtering and particle filtering.

[0072] Where, x^ t KF x^ is the Kalman filter estimate. t PF This is the particle filter estimate. l tFor adaptive fusion coefficients.

[0073] The wavelet packet decomposition and reconstruction algorithm described above can be used as a data processing method for multi-scale analysis and reconstruction of signals. It can decompose the original signal into sub-signals in different frequency bands, thereby extracting the feature information of the signal at different scales. Specifically, this can be illustrated by the following formula:

[0074] in, ψ j,k Let c be the wavelet packet basis function. j,k r is a coefficient J (t) represents the residual component. J The decomposition level is determined by wavelet packet decomposition and reconstruction algorithms. These algorithms effectively extract multi-scale features from road roughness signals, resulting in road spectrum data that better reflects the actual vibration characteristics of the target road.

[0075] The aforementioned vehicle parameter data can refer to a set of basic data used to describe the physical characteristics and structural features of the target vehicle, which provides parameter support for the construction of a digital dynamics model.

[0076] Generally, vehicle parameter data of a target vehicle can be obtained through vehicle design documents, test data, or historical databases. The vehicle parameter data includes structural parameters, mass parameters, and suspension parameters.

[0077] The aforementioned structural parameters refer to parameters used to describe the overall structural form and key structural component characteristics of the target vehicle, such as the body structure layout and frame structure. The aforementioned mass parameters refer to parameters used to describe the mass distribution characteristics of the target vehicle, such as the total vehicle mass and the mass distribution of various structural parts. The aforementioned suspension parameters refer to parameters used to describe the dynamic characteristics of the target vehicle's suspension system, such as suspension stiffness characteristics, damping characteristics, and connection relationships.

[0078] In one possible embodiment, the aforementioned vehicle vibration simulation and evaluation platform based on a digital test road can establish a model in digital space to characterize the dynamic behavior of the target vehicle using multibody dynamics modeling. Specifically, based on the aforementioned structural parameters, mass parameters, and suspension parameters, multibody dynamics modeling is used to model the various components of the target vehicle and their interconnections, thereby constructing a digital dynamic model of the target vehicle. The equations of motion for the aforementioned multibody dynamics modeling can be explained using the following formulas:

[0079] Where q is the generalized coordinate vector, M, C, and K are the time-varying mass, damping, and stiffness matrices, respectively, and F... road For road excitation force, F control This provides active control. By constructing a digital dynamic model through multibody dynamics modeling, vehicle vibration behavior can be simulated and analyzed in a digital environment, providing a unified dynamic basis for subsequent excitation generation, vibration response calculation, and fatigue damage assessment.

[0080] As can be seen from the above embodiments, in the process of acquiring road spectrum data and constructing a digital dynamic model, the road roughness data processing and vehicle parameter modeling methods are fully combined to achieve an effective digital expression of the characteristics of the target road and the target vehicle, providing reliable input conditions and model foundation for subsequent vibration simulation and evaluation.

[0081] Optionally, the step of generating a time-varying vibration excitation signal based on a digital dynamic model and road spectrum data may further include determining the road excitation characteristic data of the target road based on the road spectrum data; performing dynamic mapping processing on the road excitation characteristic data through the digital dynamic model to obtain the vibration response relationship of the target vehicle under the corresponding road conditions on the target road; and determining the time-varying vibration excitation signal based on the vibration response relationship.

[0082] In this embodiment of the invention, the aforementioned road excitation characteristic data can refer to a dataset extracted and formed based on road spectrum data, used to characterize the vibration excitation features of a target road on vehicles. This dataset reflects the overall characteristics of the target road's excitation effect on vehicles at different spatial or temporal scales. It is understood that the aforementioned road excitation characteristic data is a description of the excitation characteristics obtained after organizing and abstracting the road spectrum data.

[0083] Specifically, the aforementioned vehicle vibration simulation and evaluation platform based on digital test roads can analyze and process the vibration characteristics of the target road based on the obtained road spectrum data, and determine the road excitation characteristic data used to characterize the excitation intensity distribution, frequency characteristic distribution and their changing trends with operating conditions of the target road.

[0084] In one possible embodiment, the aforementioned vehicle vibration simulation and evaluation platform based on a digital test road can process road excitation characteristic data based on a digital dynamic model to establish a correspondence between road excitation characteristics and vehicle vibration response. Specifically, the aforementioned road excitation characteristic data is input into the digital dynamic model, and the response of the target vehicle to different excitation characteristics under the corresponding road conditions of the target road is analyzed through the calculation and processing of the target vehicle's dynamic characteristics, thereby completing the dynamic mapping processing from road excitation characteristic data to vehicle vibration response.

[0085] The aforementioned vibration response relationship can refer to the correspondence between the vibration response of the target vehicle to road excitation under specific road excitation characteristics and road working conditions. It is used to describe the dynamic correlation characteristics between road excitation input and vehicle vibration output.

[0086] In this embodiment, after completing the dynamic mapping process, the vehicle vibration simulation and evaluation platform based on the digital test road obtains a vibration response relationship characterizing the target vehicle under the corresponding road conditions. This vibration response relationship can reflect the response trend, response intensity distribution, and characteristics of the target vehicle changing with different excitation conditions.

[0087] In another possible scenario, the aforementioned vehicle vibration simulation and evaluation platform based on digital test roads, based on the vibration response relationship, comprehensively analyzes the road excitation characteristic data to determine the time-varying vibration excitation signal used to simulate the vibration behavior of the target vehicle under the corresponding road conditions. This time-varying vibration excitation signal reflects the coupling relationship between road excitation characteristics and vehicle dynamic response over time.

[0088] By employing the above methods and steps, road excitation characteristic data, dynamic mapping processing, and vibration response relationships are introduced during the generation of time-varying vibration excitation signals. This enables the generated excitation signals to accurately reflect the dynamic coupling characteristics between the target road and the target vehicle, thereby improving the accuracy and engineering applicability of vibration simulation assessment.

[0089] Optionally, in the step of determining the vibration response data of the target vehicle under the road conditions corresponding to the target road based on the time-varying vibration excitation signal, the method further includes solving the time-domain and frequency-domain responses of the time-varying vibration excitation signal according to the vibration response relationship to determine the vibration state parameters of the target vehicle corresponding to the target road; and determining the vibration response data used to characterize the vibration state of the target vehicle based on the vibration state parameters.

[0090] In this embodiment of the invention, based on the established vibration response relationship, the time-varying vibration excitation signal is processed to determine the vibration response of the target vehicle under the aforementioned excitation. Specifically, after acquiring the time-varying vibration excitation signal, the vehicle vibration simulation and evaluation platform based on the digital test road performs response solving processing on the time-varying vibration excitation signal from both the time domain and frequency domain perspectives, according to the vibration response relationship obtained from the aforementioned dynamic mapping processing.

[0091] In the time-domain response solution process, the aforementioned vehicle vibration simulation and evaluation platform based on the digital test road analyzes the characteristics of the time-varying vibration excitation signal over time according to the vibration response relationship, and determines the vibration response trend of the target vehicle under excitation over time. In the frequency-domain response solution process, the aforementioned vehicle vibration simulation and evaluation platform based on the digital test road analyzes the response characteristics corresponding to different frequency components in the time-varying vibration excitation signal according to the vibration response relationship, and determines the vibration response distribution of the target vehicle in different frequency ranges.

[0092] Through the above-mentioned time-domain and frequency-domain response solving processes, the vehicle vibration simulation and evaluation platform based on the digital test road can comprehensively characterize the dynamic response behavior of the target vehicle to time-varying vibration excitation signals under the corresponding road conditions of the target road.

[0093] The aforementioned vibration state parameters refer to a set of parameters used to characterize the vibration behavior of the target vehicle. They are used to reflect the changes in the vibration state of the target vehicle under the action of time-varying vibration excitation signals. It is understood that the aforementioned vibration state parameters are not the final evaluation results, but intermediate result data obtained from the response solution process.

[0094] In one possible embodiment, after completing the response solution, the vehicle vibration simulation and evaluation platform based on the digital test road extracts parameter information that can reflect the vibration state characteristics of the target vehicle from the obtained response results to form vibration state parameters, including but not limited to the trend of vibration amplitude change, response intensity distribution characteristics and relative relationship of vibration change of the target vehicle in different time periods or different frequency ranges.

[0095] It can be understood that the above vibration state parameters are determined based on the combined results of time-domain response and frequency-domain response, and they reflect the overall vibration state of the target vehicle under the road conditions corresponding to the target road.

[0096] In this embodiment, the vehicle vibration simulation and evaluation platform based on the digital test road can further organize and summarize the vibration state of the target vehicle based on the obtained vibration state parameters, determine the vibration response data used to characterize the vibration state of the target vehicle, reflect the overall vibration characteristics of the target vehicle under the road conditions corresponding to the target road, and serve as important input data for subsequent digital dynamic model correction and fatigue damage assessment.

[0097] Through the above methods and steps, the time-domain and frequency-domain responses of time-varying vibration excitation signals are solved based on the vibration response relationship. Vibration state parameters are obtained step by step and vibration response data is further formed. This realizes a clear and implementable data processing flow from excitation signal to vibration response data, ensuring the accuracy and consistency of the vibration simulation and evaluation process.

[0098] Optionally, the step of correcting the digital dynamic model based on vibration response data to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle further includes determining the model error information of the digital dynamic model based on the vibration response data; updating the model parameters in the digital dynamic model according to the model error information to obtain updated and adjusted model parameters; and reconstructing the digital dynamic model based on the updated and adjusted model parameters to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle.

[0099] In this embodiment of the invention, the aforementioned model error information refers to a set of information characterizing the differences between the vibration response results output by the digital dynamic model and the vibration response data obtained based on the time-varying vibration excitation signal. This information reflects the degree to which the current model fits the actual vibration behavior of the target vehicle. By determining the deviations of the model in terms of vibration response amplitude, frequency distribution characteristics, response change trends, and response consistency under different road conditions and key structural parts, the differences between different deviation data are obtained. These differences are then used to determine the basis for subsequent updates and adjustments to the model parameters.

[0100] The aforementioned model parameters refer to the set of parameters used to describe the dynamic characteristics of each component in the digital dynamics model, which directly affect the model's ability to characterize the vibration behavior of the target vehicle. These include, but are not limited to, parameters describing the structural characteristics of the target vehicle, parameters related to mass distribution, and parameters reflecting the dynamic characteristics of the suspension system.

[0101] In one possible embodiment, the model parameters in the digital dynamic model can be adjusted based on the determined model error information, thereby reducing the difference between the model output and the vibration response data.

[0102] Specifically, the vehicle vibration simulation and evaluation platform based on the digital test road adjusts the corresponding model parameters according to the deviation characteristics reflected by the model error information. For example, when the model has a large prediction deviation of the vibration response amplitude under a specific working condition, the platform can adjust the model parameters related to the response characteristics accordingly.

[0103] Furthermore, the aforementioned vehicle vibration simulation and evaluation platform based on digital test roads can recombine and calculate the digital dynamic model according to the updated and adjusted model parameters to form a new model. The dynamic characteristics of the model can be corrected by replacing or updating the model parameters.

[0104] By introducing model error information, model parameter updates, and model reconstruction processes, dynamic correction of the digital dynamic model is achieved, enabling the model to gradually approximate the actual vibration characteristics of the target vehicle while maintaining structural consistency, thus providing a highly reliable model basis for subsequent fatigue damage assessment.

[0105] Optionally, the step of assessing fatigue damage to the target vehicle using the target digital dynamics model and vibration response data, and generating a corresponding vibration simulation assessment report, further includes determining the structural load characteristics of the target vehicle under the road conditions corresponding to the target road based on the target digital dynamics model and vibration response data; calculating fatigue damage to key structural parts of the target vehicle based on the structural load characteristics to obtain corresponding fatigue damage assessment results; and generating a vibration simulation assessment report characterizing the vibration durability performance of the target vehicle based on the fatigue damage assessment results.

[0106] In this embodiment of the invention, the above-mentioned structural load characteristics may refer to the set of characteristic information of the vibration load borne by the structural parts of the target vehicle under the road conditions corresponding to the target road, which is used to reflect the overall characteristics of the structural stress state of the vehicle under vibration excitation.

[0107] Specifically, the aforementioned vehicle vibration simulation and evaluation platform based on digital test roads analyzes and processes the dynamic response results of the target vehicle under the corresponding road conditions on the target road based on the target digital dynamic model and vibration response data. It extracts load change characteristics that can reflect the structural load conditions of the target vehicle and forms structural load characteristics, such as data characteristics that reflect the level of structural load change, distribution characteristics and relative change trends under different road conditions.

[0108] In one possible embodiment, the vehicle vibration simulation and evaluation platform based on the digital test road can analyze and evaluate the fatigue damage that may occur in the key structural parts of the target vehicle under long-term vibration load based on the determined structural load characteristics, thereby obtaining the corresponding fatigue damage evaluation results.

[0109] The above damage assessment can be based on an improved Miner linear cumulative damage criterion:

[0110] Where N[ a(t), m [t] represents the time-varying stress amplitude. a (t) and mean m The fatigue life function under (t). T It is a time variable.

[0111] The above fatigue damage assessment results can be determined based on the load sequence effect model corresponding to the above fatigue life function, wherein: Model of load sequence effect:

[0112] Among them, N0, ' f b are material parameters, and γ and η are load sequence effect coefficients. a , m This represents the stress value.

[0113] Specifically, key structural components related to vibration durability in the target vehicle can be selected, and based on the structural load characteristics, the fatigue load of each key structural component under the corresponding road conditions of the target road can be analyzed. For example, based on the above structural load characteristics, the load conditions of key structural components under different load levels and different action times can be analyzed to identify the load change process experienced by key structural components during repeated vibration load action. Based on the cumulative load state under actual road conditions, the corresponding fatigue damage results can be determined.

[0114] The fatigue damage assessment results mentioned above refer to the assessment results used to characterize the degree of fatigue damage of key structural parts of the target vehicle under the corresponding road conditions of the target road, and reflect the vibration durability performance level of the vehicle under the road conditions.

[0115] Optionally, after assessing the fatigue damage of the target vehicle using the target digital dynamics model and vibration response data, and generating a corresponding vibration simulation assessment report, the steps may further include identifying key damaged structural components in the target vehicle based on the vibration simulation assessment report; determining the influencing factors that cause damage to the key damaged structural components based on the corresponding vibration load sources and road condition characteristics; and generating improvement suggestions to guide vehicle structure optimization and / or parameter adjustment based on the influencing factors.

[0116] In this embodiment of the invention, the vehicle vibration simulation and evaluation platform based on the digital test road can analyze and process the fatigue damage distribution of the target vehicle under the corresponding road conditions on the target road based on the vibration simulation and evaluation report. It can then identify structural parts with high fatigue damage or concentrated damage risk as key damaged structural parts in the target vehicle. These key damaged structural parts can be structural areas that have a significant impact on the vehicle's vibration durability performance.

[0117] After identifying the critical damaged structural components, the aforementioned vehicle vibration simulation and evaluation platform based on the digital test road further analyzes the causes of fatigue damage to each critical damaged structural component, combining the structural load characteristics, vibration response characteristics, and corresponding road condition information reflected in the vibration simulation and evaluation report, thereby determining the influencing factors that caused the damage. These influencing factors may include the source characteristics of the vibration load, the load variation pattern, and the excitation characteristics under specific road conditions.

[0118] Based on this, the aforementioned vehicle vibration simulation and evaluation platform based on digital test roads generates improvement suggestions to guide the target vehicle in structural optimization and / or parameter adjustment, taking into account the identified influencing factors. These improvement suggestions serve as a reference for vehicle structural design optimization, model parameter configuration adjustment, or the development of subsequent test plans.

[0119] More specifically, a digital visualization interface can be used to display the vehicle's dynamic response, damage accumulation process, and key parameter change trends in real time, with the damage cloud map rendering employing an interpolation algorithm.

[0120] Where I(x,y,t) is the damage intensity at time t at position (x,y), ω i Let K be the damage weight for measurement point i, K be the kernel function, and h be the bandwidth parameter.

[0121] The above references can be further confirmed using the experimental uncertainty module. The Monte Carlo method can be used to assess the confidence level of the experimental results.

[0122] U For the combined uncertainty, u ( x i ) is the input variable x i Standard uncertainty, u ( x i ,x j ) represents the covariance.

[0123] The objective function for vehicle design optimization based on evaluation test results is:

[0124] Where x is the design variable, D vehicle For vehicle damage indicators, equipment Let C(x) be the reliability index of the vehicle-mounted equipment, and ω be the cost function. i These are the weighting coefficients.

[0125] The above reliability index is based on the stress-intensity interference theory:

[0126] Where g(X,t) is the time-varying limit state function, f X (x) is the probability density function of the random variable X. Pr is the probability density function of the event X. The probability of occurrence.

[0127] like Figure 2 As shown, this embodiment of the invention also provides a vehicle vibration simulation and evaluation device 200 based on a digital test road. This vehicle vibration simulation and evaluation device 200 based on a digital test road includes: The first acquisition module 201 is used to acquire road spectrum data of the target road and construct a digital dynamic model of the target vehicle; The first generation module 202 is used to generate a time-varying vibration excitation signal based on the digital dynamic model and the road spectrum data; The first determining module 203 is used to determine the vibration response data of the target vehicle under the road conditions corresponding to the target road based on the time-varying vibration excitation signal. The second acquisition module 204 is used to perform correction processing on the digital dynamic model based on the vibration response data to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle. The evaluation module 205 is used to evaluate the fatigue damage of the target vehicle using the target digital dynamic model and the vibration response data, and generate a corresponding vibration simulation evaluation report.

[0128] Optionally, the first acquisition module 201 mentioned above includes: The first acquisition submodule is used to acquire multiple road roughness data of the target road at different locations and / or under different driving conditions; The second acquisition submodule is used to process multiple road roughness data through wavelet packet decomposition and reconstruction algorithms to obtain corresponding road spectrum data. The third acquisition submodule is used to acquire vehicle parameter data of the target vehicle, including structural parameters, mass parameters and suspension parameters. The fourth acquisition submodule is used to construct a digital dynamic model of the target vehicle based on the structural parameters, mass parameters, and suspension parameters through multibody dynamics modeling.

[0129] Optionally, the first generation module 202 mentioned above includes: The first generation submodule is used to determine the road excitation characteristic data of the target road based on the road spectrum data; The second generation submodule is used to perform dynamic mapping processing on the road excitation characteristic data through the digital dynamic model to obtain the vibration response relationship of the target vehicle under the corresponding road conditions on the target road. The third generation submodule is used to determine the time-varying vibration excitation signal based on the vibration response relationship.

[0130] Optionally, the first determining module 203 mentioned above includes: The first determining submodule is used to solve the time-domain and frequency-domain response of the time-varying vibration excitation signal according to the vibration response relationship, and to determine the vibration state parameters of the target vehicle on the target road. The second determining submodule is used to determine vibration response data characterizing the vibration state of the target vehicle based on the vibration state parameters.

[0131] Optionally, the second acquisition module 204 mentioned above includes: The fifth acquisition submodule is used to determine the model error information of the digital dynamic model based on the vibration response data; The sixth acquisition submodule is used to update the model parameters in the digital dynamics model based on the model error information to obtain the updated and adjusted model parameters; The seventh acquisition submodule is used to reconstruct the digital dynamic model based on the updated and adjusted model parameters to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle.

[0132] Optionally, the evaluation module 205 mentioned above includes: The first evaluation submodule is used to determine the structural load characteristics of the target vehicle under the road conditions corresponding to the target road, based on the target digital dynamic model and the vibration response data. The second evaluation submodule is used to perform fatigue damage calculation on the key structural parts of the target vehicle based on the structural load characteristics, and obtain the corresponding fatigue damage evaluation results. The third evaluation submodule is used to generate a vibration simulation evaluation report characterizing the vibration durability performance of the target vehicle based on the fatigue damage evaluation results.

[0133] Optionally, the above-mentioned device further includes: The first improvement module is used to identify key damaged structural parts in the target vehicle based on the vibration simulation evaluation report; The second improvement module is used to determine the influencing factors that cause damage to the key damaged structural parts based on the corresponding vibration load source and road condition characteristics. The third improvement module is used to generate improvement suggestions based on the influencing factors to guide vehicle structure optimization and / or parameter adjustment.

[0134] like Figure 3 As shown, this embodiment of the invention also provides an electronic device 300, including a processor, which can execute any of the above-mentioned vehicle vibration simulation and evaluation methods based on digital test roads.

[0135] Specifically, it includes a processor 301 and a memory 302, as well as a computer program stored in the memory 302 and capable of running on the processor 301, which executes vehicle vibration simulation and evaluation methods based on digital test roads, wherein: The processor 301 runs the calculator program stored in the memory 302, which is based on a vehicle vibration simulation and evaluation method using a digital test road, and performs the following steps: Acquire road spectrum data of the target road and construct a digital dynamic model of the target vehicle; Based on the digital dynamics model and the road spectrum data, a time-varying vibration excitation signal is generated. Based on the time-varying vibration excitation signal, determine the vibration response data of the target vehicle under the road conditions corresponding to the target road; Based on the vibration response data, the digital dynamic model is corrected to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle. The target vehicle is assessed for fatigue damage using the target digital dynamic model and the vibration response data, and a corresponding vibration simulation assessment report is generated.

[0136] Optionally, the processor 301 performs the process of acquiring road spectrum data of the target road and constructing a digital dynamics model of the target vehicle, including: Acquire multiple road roughness data of the target road at different locations and / or under different driving conditions; The multiple road roughness data are processed by wavelet packet decomposition and reconstruction algorithm to obtain the corresponding road spectrum data. Obtain vehicle parameter data of the target vehicle, including structural parameters, mass parameters, and suspension parameters; Based on the structural parameters, mass parameters, and suspension parameters, a digital dynamic model of the target vehicle is constructed through multibody dynamics modeling.

[0137] Optionally, the processor 301 executes the generation of a time-varying vibration excitation signal based on the digital dynamic model and the road spectrum data, including: Based on the road spectrum data, determine the road excitation characteristic data of the target road; The road excitation characteristic data is dynamically mapped using the digital dynamic model to obtain the vibration response relationship of the target vehicle under the corresponding road conditions on the target road. Based on the vibration response relationship, the time-varying vibration excitation signal is determined.

[0138] Optionally, the processor 301 executes the step of determining the vibration response data of the target vehicle under the corresponding road conditions on the target road based on the time-varying vibration excitation signal, including: Based on the vibration response relationship, the time-domain and frequency-domain responses of the time-varying vibration excitation signal are solved to determine the vibration state parameters of the target vehicle on the target road. Based on the vibration state parameters, vibration response data used to characterize the vibration state of the target vehicle are determined.

[0139] Optionally, the processor 301 performs the correction processing on the digital dynamic model based on the vibration response data to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle, including: Based on the vibration response data, the model error information of the digital dynamic model is determined; Based on the model error information, the model parameters in the digital dynamic model are updated to obtain the updated and adjusted model parameters; Based on the updated and adjusted model parameters, the digital dynamic model is reconstructed to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle.

[0140] Optionally, the processor 301 executes the fatigue damage assessment of the target vehicle using the target digital dynamic model and the vibration response data, and generates a corresponding vibration simulation assessment report, including: Based on the target digital dynamic model and the vibration response data, the structural load characteristics of the target vehicle under the road conditions corresponding to the target road are determined; Based on the structural load characteristics, fatigue damage calculations are performed on the key structural parts of the target vehicle to obtain the corresponding fatigue damage assessment results. Based on the fatigue damage assessment results, a vibration simulation assessment report is generated to characterize the vibration durability performance of the target vehicle.

[0141] Optionally, after processor 301 executes the step of performing fatigue damage assessment on the target vehicle using the target digital dynamic model and the vibration response data, and generating a corresponding vibration simulation assessment report, the method further includes: Based on the vibration simulation assessment report, key damaged structural components in the target vehicle were identified. For the critical damaged structural parts, the influencing factors that caused the damage were determined based on the corresponding vibration load sources and road condition characteristics. Based on the aforementioned influencing factors, improvement recommendations are generated to guide vehicle structure optimization and / or parameter adjustments.

[0142] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the vehicle vibration simulation and evaluation method or application based on a digital test road provided in this invention, and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0143] Those skilled in the art will understand that implementing all or part of the processes in the above embodiments can be done by a computer program instructing related hardware, and can be stored in a computer-readable storage medium. When executed, the program can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0144] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for simulating and evaluating vehicle vibration based on a digital test road, characterized in that, include: Acquire road spectrum data of the target road and construct a digital dynamic model of the target vehicle; Based on the digital dynamics model and the road spectrum data, a time-varying vibration excitation signal is generated. Based on the time-varying vibration excitation signal, determine the vibration response data of the target vehicle under the road conditions corresponding to the target road; Based on the vibration response data, the digital dynamic model is corrected to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle. The target vehicle is assessed for fatigue damage using the target digital dynamic model and the vibration response data, and a corresponding vibration simulation assessment report is generated.

2. The vehicle vibration simulation and evaluation method based on a digital test road as described in claim 1, characterized in that, The process of acquiring road spectrum data of the target road and constructing a digital dynamics model of the target vehicle includes: Acquire multiple road roughness data of the target road at different locations and / or under different driving conditions; The multiple road roughness data are processed by wavelet packet decomposition and reconstruction algorithm to obtain the corresponding road spectrum data. Obtain vehicle parameter data of the target vehicle, including structural parameters, mass parameters, and suspension parameters; Based on the structural parameters, mass parameters, and suspension parameters, a digital dynamic model of the target vehicle is constructed through multibody dynamics modeling.

3. The vehicle vibration simulation and evaluation method based on a digital test road as described in claim 1, characterized in that, The generation of time-varying vibration excitation signals based on the digital dynamic model and the road spectrum data includes: Based on the road spectrum data, determine the road excitation characteristic data of the target road; The road excitation characteristic data is dynamically mapped using the digital dynamic model to obtain the vibration response relationship of the target vehicle under the corresponding road conditions on the target road. Based on the vibration response relationship, the time-varying vibration excitation signal is determined.

4. The vehicle vibration simulation and evaluation method based on a digital test road as described in claim 3, characterized in that, The step of determining the vibration response data of the target vehicle under the corresponding road conditions on the target road based on the time-varying vibration excitation signal includes: Based on the vibration response relationship, the time-domain and frequency-domain responses of the time-varying vibration excitation signal are solved to determine the vibration state parameters of the target vehicle on the target road. Based on the vibration state parameters, vibration response data used to characterize the vibration state of the target vehicle are determined.

5. The vehicle vibration simulation and evaluation method based on a digital test road as described in claim 1, characterized in that, The process of correcting the digital dynamic model based on the vibration response data to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle includes: Based on the vibration response data, the model error information of the digital dynamic model is determined; Based on the model error information, the model parameters in the digital dynamic model are updated to obtain the updated and adjusted model parameters; Based on the updated and adjusted model parameters, the digital dynamic model is reconstructed to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle.

6. The vehicle vibration simulation and evaluation method based on a digital test road as described in claim 1, characterized in that, The process of assessing fatigue damage to the target vehicle using the target digital dynamic model and the vibration response data, and generating a corresponding vibration simulation assessment report, includes: Based on the target digital dynamic model and the vibration response data, the structural load characteristics of the target vehicle under the road conditions corresponding to the target road are determined; Based on the structural load characteristics, fatigue damage calculations are performed on the key structural parts of the target vehicle to obtain the corresponding fatigue damage assessment results. Based on the fatigue damage assessment results, a vibration simulation assessment report is generated to characterize the vibration durability performance of the target vehicle.

7. The vehicle vibration simulation and evaluation method based on a digital test road as described in claim 1, characterized in that, After assessing the fatigue damage of the target vehicle using the target digital dynamic model and the vibration response data, and generating a corresponding vibration simulation assessment report, the method further includes: Based on the vibration simulation assessment report, key damaged structural components in the target vehicle were identified. For the critical damaged structural parts, the influencing factors that caused the damage were determined based on the corresponding vibration load sources and road condition characteristics. Based on the aforementioned influencing factors, improvement recommendations are generated to guide vehicle structure optimization and / or parameter adjustments.

8. A vehicle vibration simulation and evaluation device based on a digital test road, characterized in that, include: The first acquisition module is used to acquire road spectrum data of the target road and construct a digital dynamic model of the target vehicle; The first generation module is used to generate a time-varying vibration excitation signal based on the digital dynamic model and the road spectrum data; The first determining module is used to determine the vibration response data of the target vehicle under the road conditions corresponding to the target road based on the time-varying vibration excitation signal. The second acquisition module is used to perform correction processing on the digital dynamic model based on the vibration response data to obtain a target digital dynamic model that matches the actual vibration characteristics of the target vehicle. The evaluation module is used to evaluate the fatigue damage of the target vehicle using the target digital dynamic model and the vibration response data, and to generate a corresponding vibration simulation evaluation report.

9. An electronic device, characterized in that, include: The memory, the processor, and the computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the vehicle vibration simulation and evaluation method based on a digital test road as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps in the vehicle vibration simulation and evaluation method based on a digital test road as described in any one of claims 1 to 7.

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