Vehicle ride comfort simulation analysis method based on dummy-seat dynamics model

Abstract

The present invention discloses a vehicle ride comfort simulation and analysis method based on a dummy-seat dynamics model, comprising the following steps: S1, establishing a dummy-seat dynamics model, and performing stiffness and damping simulation; S2, performing a dummy-seat stiffness and damping test, and calibrating and analyzing the dummy-seat dynamics model according to the test results; S3, establishing a whole vehicle dynamics model, and formulating a vehicle ride comfort simulation and data processing method; S4, performing a vehicle ride comfort simulation with random road surface excitation and pulse excitation; S5, performing a vehicle ride comfort test with random road surface excitation and pulse excitation; S6, comparing and analyzing the vehicle ride comfort simulation results with the test results. The present invention improves the vehicle ride comfort simulation accuracy by establishing a seat-dummy multi-body dynamics model, and calibrating the stiffness and damping of the dummy-seat dynamics model.

Description

Technical Field

[0001] The invention belongs to the technical field of vehicle dynamics simulation, and in particular relates to a vehicle ride comfort simulation analysis method based on a dummy-seat dynamics model. Background Art

[0002] Ride comfort is one of the key performances of a vehicle, which directly determines the comfort of the drivers and passengers and affects the quality and market competitiveness of the vehicle. The vehicle ride comfort design often adopts the dynamic simulation analysis method, that is, the multi-body dynamics model of the whole vehicle is established according to the parameters of the whole vehicle and the structural parameters of the components, and the multi-body dynamics model of the whole vehicle is placed on a four-column virtual test bench for vibration simulation. By collecting the acceleration data of the body floor or the center of mass of the vehicle, the quality of the vehicle ride comfort is qualitatively evaluated.

[0003] In the existing vehicle ride comfort simulation methods, due to the lack of dummy-seat dynamic modeling technology, the vibration of the human body cannot be analyzed, resulting in the fact that the ride comfort simulation results cannot truly reflect the vibration level of the human body. The vehicle ride comfort test standard "GB / T4970-2009 Automobile Ride Comfort Test Method" stipulates that the vibration measurement positions are the soles of the feet, the seat cushion and the backrest. The weighted acceleration root mean square value of the human body is calculated based on the acceleration data of the above three positions, and the weighted acceleration root mean square value is used to evaluate the vibration level of the human body and the ride comfort performance of the vehicle.

[0004] Since the existing vehicle dynamics model used for ride comfort simulation does not include a dummy-seat dynamics model, the measurement point locations and vibration data processing methods of the ride comfort simulation are different from the requirements of the vehicle ride comfort test standard. This results in the inability to compare the ride comfort simulation results with the test results, and there is a large error between the ride comfort simulation results and the vehicle ride comfort test results.

[0005] The Chinese patent with publication number CN114091303A discloses a vehicle dynamics simulation analysis method for joint road comfort analysis, which relates to the field of vehicle dynamics simulation. The patent can accurately analyze the vibration response of a vehicle when it passes through a joint road, effectively improve the accuracy of vehicle dynamics simulation, and truly reflect the subjective feelings of drivers and passengers about vehicle comfort. The method includes the following steps: 1. Establish a rigid-flexible coupling multi-body dynamics model of the vehicle; 2. Create a seat-dummy model and a joint road model; 3. Benchmark the vehicle simulation model data with the test data; 4. Simulate and calculate the smoothness of the whole vehicle on the joint road; 5. Collect, process and weighted calculation of the driver's human body vibration acceleration; 6. Vehicle comfort evaluation. The patent uses vibration theory to propose a vehicle dynamics modeling simulation analysis method for joint road comfort analysis, which solves the limitations and large errors of existing vehicle smoothness modeling and simulation methods, and has high applicability and operability.

[0006] Although this patent established a seat-dummy model, it did not calibrate the stiffness and damping of the dummy-seat dynamic model. The model accuracy is not high enough, resulting in insufficient simulation accuracy of vehicle smoothness. Summary of the invention

[0007] The purpose of the present invention is to provide a vehicle ride comfort simulation analysis method based on a dummy-seat dynamics model to improve the simulation accuracy of the vehicle ride comfort in view of the problems existing in the prior art.

[0008] To achieve the above object, the technical solution adopted by the present invention is:

[0009] A vehicle ride comfort simulation analysis method based on a dummy-seat dynamics model comprises the following steps:

[0010] S1, establish the dummy-seat dynamics model and perform stiffness and damping simulation;

[0011] S2, conduct dummy-seat stiffness and damping tests, and calibrate and analyze the dummy-seat dynamics model based on the test results;

[0012] S3, establish the vehicle dynamics model and formulate vehicle ride comfort simulation and data processing methods;

[0013] S4, perform vehicle ride comfort simulation with random road excitation and pulse excitation;

[0014] S5, conduct vehicle ride comfort test with random road excitation and pulse excitation;

[0015] S6, compare and analyze the vehicle ride comfort simulation results with the test results.

[0016] Specifically, step S1 includes the following steps:

[0017] S101, establishing a seat frame finite element model and generating an MNF file of the seat frame model;

[0018] S102, establishing a finite element model of a seat back and a seat cushion, setting material properties of the back and the seat cushion, and generating an MNF file of the back model and the seat cushion model;

[0019] S103, establishing a finite element model of the dummy, setting mass attributes, and generating an MNF file of the dummy model;

[0020] S104, establishing a finite element model of the vehicle body floor, and generating an MNF file of the vehicle body floor model;

[0021] S105, importing the MNF file of the seat frame model, the MNF file of the seat back model, the MNF file of the seat cushion model, the MNF file of the dummy model, and the MNF file of the vehicle body floor model into ADAMS software to establish a dummy-seat dynamics model;

[0022] S106, setting the contact relationship between the dummy and the seat, and between the dummy and the vehicle body bottom plate;

[0023] S107, according to the standard requirements of "GBT 18707.1-2002 Laboratory method for evaluating vehicle seat vibration by mechanical vibration", the stiffness and damping simulation of the dummy-seat dynamics model is performed.

[0024] Specifically, step S2 includes the following steps:

[0025] S201, according to the requirements of the standard GBT 18707.1-2002 Laboratory method for evaluating vehicle seat vibration by mechanical vibration, conduct stiffness and damping tests on the dummy-seat;

[0026] S202, setting the seat cushion stiffness and damping test data as the objective function, and setting the seat cushion finite element model stiffness and damping as optimization variables;

[0027] S203, determining the stiffness Kz and damping Cz of the seat cushion dynamics model through optimization simulation;

[0028] S204, setting the backrest stiffness and damping test data as the objective function, and setting the backrest finite element model stiffness and damping as the optimization variables;

[0029] S205, determining the stiffness Ky and damping Cy of the backrest dynamics model through optimization simulation;

[0030] S206, calibrating the dummy-seat dynamics model according to the optimization results of Kz, Ky, Cz and Cy;

[0031] S207, performing stiffness and damping simulation calculations on the calibrated dummy-seat dynamics model to verify the accuracy of the model.

[0032] Specifically, step S3 includes the following steps:

[0033] S301, establishing a vehicle dynamics model, including a tire model, a suspension model and a body model;

[0034] S302, establishing a four-post virtual test bench, and fixing the whole vehicle dynamics model on the four-post virtual test bench;

[0035] S303, assembling the dummy-seat dynamics model into the whole vehicle dynamics model;

[0036] S304, establishing acceleration measurement points in the X, Y and Z directions, where the measurement points include the dummy's foot sole, seat cushion and backrest positions; wherein the X, Y and Z directions are perpendicular to each other, and the Z direction is the vertical direction.

[0037] Specifically, step S4 includes the following steps:

[0038] S401, applying random road excitation to the dummy-seat dynamics model through a four-post virtual test bench, and collecting acceleration time domain data at the acceleration measurement point positions;

[0039] S402, converting the acceleration time domain data into acceleration frequency domain data through FFT;

[0040] S403, calculating the root mean square value of the weighted acceleration of the human body according to the acceleration frequency domain data at each measuring point and in accordance with the requirements of GB / T 4970-2009 Vehicle Ride Comfort Test Method;

[0041] S404, applying pulse displacement road excitation to the dummy-seat dynamics model through a four-pillar virtual test bench, and collecting acceleration time domain data of the acceleration measurement point position;

[0042] S405, based on the acceleration time domain data at each measuring point, according to the requirements of GB / T 4970-2009 Automobile Ride Comfort Test Method, calculate the peak value of the Z-direction acceleration of the human seat cushion.

[0043] Specifically, step S5 includes the following steps:

[0044] S501, installing a three-axis acceleration sensor at the footboard, seat cushion and backrest of the vehicle respectively;

[0045] S502, using an LMS acquisition device to collect acceleration signals from three triaxial acceleration sensors;

[0046] S503, the vehicle travels at a constant speed on a straight random road surface, and the acceleration time domain data at three measuring points are collected;

[0047] S504, calculating the root mean square value of the weighted acceleration of the human body according to the acceleration time domain data at the three measuring points and in accordance with the requirements of GB / T 4970-2009 Vehicle Ride Comfort Test Method;

[0048] S505, the vehicle passes through the pulse road surface at a constant speed, and the acceleration time domain data at three measuring points are collected;

[0049] S506, based on the acceleration time domain data at the three measuring points, according to the requirements of GB / T 4970-2009 Automobile Ride Comfort Test Method, calculate the peak value of the Z-direction acceleration of the human seat cushion.

[0050] Specifically, step S6 includes the following steps:

[0051] S601, comparing and analyzing the simulation results of vehicle ride comfort under random road excitation with the test results;

[0052] S602, comparing and analyzing the pulse road excitation vehicle ride comfort simulation results with the test results.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention establishes a seat-dummy multi-body dynamic model, combines the standard requirements of "GBT 18707.1-2002 Laboratory Method for Mechanical Vibration Evaluation of Vehicle Seat Vibration", calibrates the stiffness and damping of the dummy-seat dynamic model, sets the cushion stiffness and damping test data as the objective function, sets the stiffness and damping of the cushion and backrest finite element model as optimization variables, and determines the cushion dynamic model stiffness Kz and damping Cz, and the backrest dynamic model stiffness Ky and damping Cy through optimization simulation, thereby improving the model accuracy. The consistency between the smoothness simulation data of the dummy-seat dynamic model established by the present invention and the test data is greater than 90%, indicating that the dummy-seat dynamic model established by the present invention has high accuracy and can significantly improve the simulation accuracy of vehicle smoothness. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 The present invention is a flowchart of a vehicle ride comfort simulation analysis method based on a dummy-seat dynamics model according to an embodiment of the present invention.

[0055] Figure 2 Schematic diagram of the structure of the dummy-seat dynamic model in an embodiment of the present invention.

[0056] Figure 3 It is a comparison chart of the simulation data and the test data of the seat cushion stiffness in the embodiment of the present invention.

[0057] Figure 4 It is a comparison chart of the simulation data and the test data of the seat back stiffness in the embodiment of the present invention.

[0058] Figure 5 It is a comparison chart of simulation data and test data of seat cushion damping in an embodiment of the present invention.

[0059] Figure 6 It is a comparison chart of simulation data and test data of seat back damping in an embodiment of the present invention.

[0060] Figure 7 This is a comparison chart between the simulation results and the test results of the vehicle smoothness under random road excitation in an embodiment of the present invention.

[0061] Figure 8 This is a comparison chart between the simulation results and the test results of the vehicle smoothness under impulse road excitation in an embodiment of the present invention.

[0062] In the figure: 1. Dummy model; 2. Seat back model; 3. Seat cushion model; 4. Seat frame model; 5. Vehicle body floor model. DETAILED DESCRIPTION

[0063] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] like Figure 1 As shown, this embodiment provides a vehicle ride comfort simulation analysis method based on a dummy-seat dynamics model, comprising the following steps:

[0065] S1, establish the dummy-seat dynamics model and perform stiffness and damping simulation;

[0066] S2, conduct dummy-seat stiffness and damping tests, and calibrate and analyze the dummy-seat dynamics model based on the test results;

[0067] S3, establish the vehicle dynamics model and formulate vehicle ride comfort simulation and data processing methods;

[0068] S4, perform vehicle ride comfort simulation with random road excitation and pulse excitation;

[0069] S5, conduct vehicle ride comfort test with random road excitation and pulse excitation;

[0070] S6, compare and analyze the vehicle ride comfort simulation results with the test results.

[0071] Specifically, Figure 2 As shown, step S1 includes the following steps:

[0072] S101, establishing a seat frame finite element model and generating an MNF file of the seat frame model;

[0073] S102, establishing a finite element model of a seat back and a seat cushion, setting material properties of the back and the seat cushion, and generating an MNF file of the back model and the seat cushion model;

[0074] S103, establishing a finite element model of the dummy, setting mass attributes, and generating an MNF file of the dummy model;

[0075] S104, establishing a finite element model of the vehicle body floor, and generating an MNF file of the vehicle body floor model;

[0076] S105, importing the MNF file of the seat frame model 4, the MNF file of the seat back model 2, the MNF file of the seat cushion model 3, the MNF file of the dummy model 1 and the MNF file of the vehicle body floor model 5 into the ADAMS software to establish a dummy-seat dynamics model;

[0077] S106, setting the contact relationship between the dummy and the seat, and between the dummy and the vehicle body bottom plate;

[0078] S107, according to the standard requirements of "GBT 18707.1-2002 Laboratory method for evaluating vehicle seat vibration by mechanical vibration", the stiffness and damping simulation of the dummy-seat dynamics model is performed.

[0079] Specifically, step S2 includes the following steps:

[0080] S201, according to the requirements of the standard GBT 18707.1-2002 Laboratory method for evaluating vehicle seat vibration by mechanical vibration, conduct stiffness and damping tests on the dummy-seat;

[0081] S202, setting the seat cushion stiffness and damping test data as the objective function, and setting the seat cushion finite element model stiffness and damping as optimization variables;

[0082] S203, determining the stiffness Kz and damping Cz of the seat cushion dynamics model through optimization simulation;

[0083] S204, setting the backrest stiffness and damping test data as the objective function, and setting the backrest finite element model stiffness and damping as the optimization variables;

[0084] S205, determining the stiffness Ky and damping Cy of the backrest dynamics model through optimization simulation;

[0085] S206, calibrating the dummy-seat dynamics model according to the optimization results of Kz, Ky, Cz and Cy;

[0086] S207, performing stiffness and damping simulation calculations on the calibrated dummy-seat dynamics model to verify the accuracy of the model.

[0087] The comparison results of the simulation data and test data of the seat cushion stiffness are as follows: Figure 3 As shown in the figure, the agreement between the simulation data and the test data is 96.3%; the comparison between the simulation data and the test data of the seat back stiffness is shown in the figure. Figure 4 As shown in Figure 1, the agreement between the simulation data and the test data is 94.8%. The comparison between the simulation data and the test data of the seat cushion damping is shown in Figure 1. Figure 5As shown in the figure, the agreement between the simulation data and the test data is 94.5%; the comparison between the simulation data and the test data of the seat back damping is shown in the figure. Figure 6 As shown, the agreement between the simulation data and the experimental data is 93.2%.

[0088] Through comparative analysis, it can be obtained that the simulation data of the stiffness and damping of the calibrated dummy-seat equivalent nonlinear dynamic model are consistent with the test data by more than 90%, indicating that the established dummy-seat equivalent nonlinear dynamic model is accurate.

[0089] Specifically, step S3 includes the following steps:

[0090] S301, establishing a vehicle dynamics model, including a tire model, a suspension model and a body model;

[0091] S302, establishing a four-post virtual test bench, and fixing the whole vehicle dynamics model on the four-post virtual test bench;

[0092] S303, assembling the dummy-seat dynamics model into the whole vehicle dynamics model;

[0093] S304, establish acceleration measurement points in the X, Y and Z directions, the measurement points include the dummy foot position A, the seat cushion position B and the backrest position C (such as Figure 2 As shown); wherein, the X direction, the Y direction and the Z direction are perpendicular to each other, and the Z direction is the vertical direction.

[0094] Specifically, step S4 includes the following steps:

[0095] S401, applying random road excitation to the dummy-seat dynamics model through a four-post virtual test bench, and collecting acceleration time domain data at the acceleration measurement point positions;

[0096] S402, converting the acceleration time domain data into acceleration frequency domain data through FFT;

[0097] S403, calculating the root mean square value of the weighted acceleration of the human body according to the acceleration frequency domain data at each measuring point and in accordance with the requirements of GB / T 4970-2009 Vehicle Ride Comfort Test Method;

[0098] S404, applying pulse displacement road excitation to the dummy-seat dynamics model through a four-pillar virtual test bench, and collecting acceleration time domain data of the acceleration measurement point position;

[0099] S405, based on the acceleration time domain data at each measuring point, according to the requirements of GB / T 4970-2009 Automobile Ride Comfort Test Method, calculate the peak value of the Z-direction acceleration of the human seat cushion.

[0100] Specifically, step S5 includes the following steps:

[0101] S501, installing a three-axis acceleration sensor at the footboard, seat cushion and backrest of the vehicle respectively;

[0102] S502, using LMS acquisition equipment to acquire acceleration signals of three triaxial acceleration sensors, the acquisition frequency domain is 0-80 Hz, the resolution is 0.1 Hz, and the acquisition time is set to 30 s;

[0103] S503, the vehicle travels at a constant speed on a straight random road surface, and the acceleration time domain data at three measuring points are collected;

[0104] S504, calculating the root mean square value of the weighted acceleration of the human body according to the acceleration time domain data at the three measuring points and in accordance with the requirements of GB / T 4970-2009 Vehicle Ride Comfort Test Method;

[0105] S505, the vehicle passes through the pulse road surface at a constant speed, and the acceleration time domain data at three measuring points are collected;

[0106] S506, based on the acceleration time domain data at the three measuring points, according to the requirements of GB / T 4970-2009 Automobile Ride Comfort Test Method, calculate the peak value of the Z-direction acceleration of the human seat cushion.

[0107] Specifically, step S6 includes the following steps:

[0108] S601, comparing and analyzing the simulation results of vehicle ride comfort under random road excitation with the test results;

[0109] The comparison results of the simulation data and test data of the dummy weighted acceleration root mean square value are as follows: Figure 7 As shown, at 50km / h, the simulation data is 0.34m / s 2 , the test data is 0.31m / s 2 The agreement between the two is 91.2%; at 60km / h, the simulation data is 0.35m / s 2 , the test data is 0.32m / s 2 The agreement between the two is 91.4%; at 70km / h, the simulation data is 0.38m / s 2 , the test data is 0.35m / s 2 The agreement between the two is 92.1%; at 80km / h, the simulation data is 0.39m / s 2 , the test data is 0.42m / s 2 The agreement between the two is 92.9%; at 90km / h, the simulation data is 0.43m / s 2 , the test data is 0.45m / s 2The agreement between the two is 95.6%; at 100km / h, the simulation data is 0.49m / s 2 , the test data is 0.51m / s 2 The agreement between the two is 96.1%; at 110km / h, the simulation data is 0.58m / s 2 , the test data is 0.55m / s 2 The agreement between the two is 94.8%; at 120km / h, the simulation data is 0.71m / s 2 , the test data is 0.66m / s 2 The agreement between the two was 93.0%.

[0110] S602, comparing and analyzing the pulse road excitation vehicle ride comfort simulation result with the test result;

[0111] The comparison results of the simulation data and test data of the peak value of the Z-axis acceleration of the seat cushion are as follows: Figure 8 As shown, at 10km / h, the simulation data is 1.14m / s 2 , the test data is 1.05m / s 2 The agreement between the two is 92.1%; at 20km / h, the simulation data is 1.28m / s 2 , the test data is 1.17m / s 2 The agreement between the two is 91.4%; at 30km / h, the simulation data is 1.42m / s 2 , the test data is 1.33m / s 2 The agreement between the two is 93.7%; at 40km / h, the simulation data is 1.48m / s 2 , the test data is 1.56m / s 2 The agreement between the two is 94.9%; at 50km / h, the simulation data is 1.24m / s 2 , the test data is 1.36m / s 2 The agreement between the two is 91.2%; at 60km / h, the simulation data is 1.18m / s 2 , the test data is 1.11m / s 2 The agreement between the two was 96.7%.

[0112] Through comparative analysis, it can be found that the consistency between the smoothness simulation data of the established dummy-seat dynamics model and the test data is greater than 90%, indicating that the established dummy-seat dynamics model is accurate and can significantly improve the accuracy of vehicle smoothness simulation.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vehicle ride comfort simulation analysis method based on a dummy-seat dynamics model, characterized in that: The following steps are involved: S1, establish the dummy-seat dynamic model and perform stiffness and damping simulation, including the following steps: S101, establishing a seat frame finite element model and generating an MNF file of the seat frame model; S102, establishing a finite element model of a seat back and a seat cushion, setting material properties of the back and the seat cushion, and generating an MNF file of the back model and the seat cushion model; S103, establishing a finite element model of the dummy, setting mass attributes, and generating an MNF file of the dummy model; S104, establishing a finite element model of the vehicle body floor, and generating an MNF file of the vehicle body floor model; S105, importing the MNF file of the seat frame model, the MNF file of the seat back model, the MNF file of the seat cushion model, the MNF file of the dummy model, and the MNF file of the vehicle body floor model into ADAMS software to establish a dummy-seat dynamics model; S106, setting the contact relationship between the dummy and the seat, and between the dummy and the vehicle body bottom plate; S107, performing stiffness and damping simulation on the dummy-seat dynamics model; S2, conduct dummy-seat stiffness and damping tests, and calibrate and analyze the dummy-seat dynamics model based on the test results, including the following steps: S201, perform stiffness and damping tests on the dummy-seat; S202, setting the seat cushion stiffness and damping test data as the objective function, and setting the seat cushion finite element model stiffness and damping as optimization variables; S203, determining the stiffness Kz and damping Cz of the seat cushion dynamics model through optimization simulation; S204, setting the backrest stiffness and damping test data as the objective function, and setting the backrest finite element model stiffness and damping as the optimization variables; S205, determining the stiffness Ky and damping Cy of the backrest dynamics model through optimization simulation; S206, calibrating the dummy-seat dynamics model according to the optimization results of Kz, Ky, Cz and Cy; S207, performing stiffness and damping simulation calculations on the calibrated dummy-seat dynamics model to verify the accuracy of the model; S3, establish the vehicle dynamics model and formulate the vehicle ride comfort simulation and data processing method, including the following steps: S301, establishing a vehicle dynamics model, including a tire model, a suspension model and a body model; S302, establishing a four-post virtual test bench, and fixing the whole vehicle dynamics model on the four-post virtual test bench; S303, assembling the dummy-seat dynamics model into the whole vehicle dynamics model; S304, establishing acceleration measurement points in the X, Y and Z directions, where the measurement points include the dummy's foot sole, seat cushion and backrest positions; wherein the X, Y and Z directions are perpendicular to each other, and the Z direction is the vertical direction; S4, perform vehicle ride comfort simulation with random road excitation and pulse excitation; S5, conduct vehicle ride comfort test with random road excitation and pulse excitation; S6, compare and analyze the vehicle ride comfort simulation results with the test results.

2. The vehicle ride comfort simulation analysis method based on the dummy-seat dynamics model according to claim 1 is characterized in that: Step S4 includes the following steps: S401, applying random road excitation to the dummy-seat dynamics model through a four-post virtual test bench, and collecting acceleration time domain data at the acceleration measurement point positions; S402, converting the acceleration time domain data into acceleration frequency domain data through FFT; S403, calculating the root mean square value of the weighted acceleration of the human body according to the acceleration frequency domain data at each measuring point; S404, applying pulse displacement road excitation to the dummy-seat dynamics model through a four-pillar virtual test bench, and collecting acceleration time domain data of the acceleration measurement point position; S405, calculating the peak value of the Z-direction acceleration of the human body seat cushion according to the acceleration time domain data at each measuring point.

3. The vehicle ride comfort simulation analysis method based on the dummy-seat dynamics model according to claim 1 is characterized in that: Step S5 includes the following steps: S501, installing a three-axis acceleration sensor at the footboard, seat cushion and backrest of the vehicle respectively; S502, using an LMS acquisition device to collect acceleration signals from three triaxial acceleration sensors; S503, the vehicle travels at a constant speed on a straight random road surface, and the acceleration time domain data at three measuring points are collected; S504, calculating the root mean square value of the weighted acceleration of the human body according to the acceleration time domain data at the three measuring points; S505, the vehicle passes through the pulse road surface at a constant speed, and the acceleration time domain data at three measuring points are collected; S506, calculating the peak value of the Z-direction acceleration of the human body seat cushion according to the acceleration time domain data at the three measuring points.

4. The vehicle ride comfort simulation analysis method based on the dummy-seat dynamics model according to claim 1 is characterized in that: Step S6 includes the following steps: S601, comparing and analyzing the simulation results of vehicle ride comfort under random road excitation with the test results; S602, comparing and analyzing the pulse road excitation vehicle ride comfort simulation results with the test results.

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