Research on relation between two evaluation methods of random input ride comfort for off-road vehicle

Author(s):  
Fan Lu ◽  
Sizhong Chen ◽  
Zhicheng Wu ◽  
Lin Yang ◽  
Junwei Zhang ◽  
...  
2019 ◽  
Vol 103 (1) ◽  
pp. 003685041988187
Author(s):  
Bin Yu ◽  
Zhice Wang ◽  
Dayou Zhu ◽  
Guoye Wang ◽  
Dongxin Xu ◽  
...  

Mini vehicles with a small wheelbase are extremely sensitive to road roughness. The aim of this study is to explore the influence of road information on ride comfort and enhance the ride comfort of mini vehicles. According to the 5-degree-of-freedom vibration model of an electric mini off-road vehicle, the partial differential matrix equation of system motion is established using the Lagrange method, and the frequency response characteristic of the system is analyzed. The input matrix of pavement unevenness is obtained by considering the mutual power spectrum density between front and rear wheels. Road surface roughness information is obtained using an instrument for measuring road roughness. A comprehensive objective function and a constraint condition are established for comfort and safety. Based on the parameters obtained through the optimum design of a 1/4 vehicle model, the optimized stiffness and damping coefficient of suspension are obtained using a MATLAB optimization program. The law of the vibration performance of off-road vehicles with respect to suspension stiffness and the damping coefficient is obtained through the analysis of optimized results. A driving simulation and a test are conducted on the electric mini off-road vehicle. The results show that the use of the measured pavement data as simulation input is closer to the actual situation and provides higher accuracy compared to the simulated pavement model. According to the optimization and test results, the parameters optimized by a 1/2 vehicle (5 degrees of freedom) vibration model are better than those optimized by the 1/4 vehicle vibration model. The optimization results confirm reduction in acceleration, acceleration power spectrum density, and the root mean square of the weighted acceleration of the seat. This shows that the electric mini off-road vehicle provides better ride comfortability after optimization.


Author(s):  
D A Crolla ◽  
D N L Horton ◽  
R H Pitcher ◽  
J A Lines

After a review of recent developments in active suspension systems, a semi-active system fitted to an off-road vehicle is described. Theoretically predicted results are presented alongside data measured on the actual vehicle. The benefits of the semi-active system over a passive suspension are improved ride comfort and improved body attitude control.


2016 ◽  
Vol 2016 ◽  
pp. 1-18
Author(s):  
Bangji Zhang ◽  
Jie Zhang ◽  
Jinhua Yi ◽  
Nong Zhang ◽  
Qiutan Jin

A novel kinetic dynamic suspension (KDS) system is presented for the cooperative control of the roll and warp motion modes of off-road vehicles. The proposed KDS system consists of two hydraulic cylinders acting on the antiroll bars. Hence, the antiroll bars are not completely replaced by the hydraulic system, but both systems are installed. In this paper, the vibration analysis in terms of natural frequencies of different motion modes in frequency domain for an off-road vehicle equipped with different configurable suspension systems is studied by using the modal analysis method. The dynamic responses of the vehicle with different configurable suspension systems are investigated under different road excitations and maneuvers. The results of the modal and dynamic analysis prove that the KDS system can reduce the roll and articulation motions of the off-road vehicle without adding extra bounce stiffness and deteriorating the ride comfort. Furthermore, the roll stiffness is increased and the warp stiffness is decreased by the KDS system, which could significantly enhance handing performance and off-road capability.


Author(s):  
Navid Mohajer ◽  
Hamid Abdi ◽  
Saeid Nahavandi

Computational multibody system (MBS) method is a practical technique utilized for modeling, simulation, and optimization of mechanical systems. In the methodology of computational multibody system, equations of motion are derived, formulated, and solved through a systematic, generalized, and well-structured computational-mathematical approach. In this paper, the computational multibody system formulation, based on the appended Lagrangian method, is implemented to establish the governing equations of ride dynamics for a nonlinear ride model that represents a versatile half-car two-track model of a road vehicle. The input to the system is a simulated road surface model based on the ISO road surface classification. The solution of the equation of motion is obtained using the direct integration approach along with constraint violation elimination and control techniques. Following the simulation, a time-domain multiobjective design optimization procedure is performed to improve the ride quality of the model. The ride quality comprises both ride comfort and ride safety. The optimization considers relevant objective functions including vibration isolation, suspension travel, road holding, and force index. The results of work show that the proposed method could acceptably estimate the optimal values of design variables for specific road classes and vehicle driving speeds. The simulation-based ride quality optimization performed here could facilitate improvement of suspension and tyre.


Author(s):  
Takayuki Koizumi ◽  
Nobutaka Tsujiuchi ◽  
Sogo Okumura ◽  
Sachiko Yamada ◽  
Jiro Ninomiya ◽  
...  

2012 ◽  
Vol 569 ◽  
pp. 552-555
Author(s):  
Xin Fan ◽  
Chun Hu

According to the national standard on electric vehicle model, pulse input test and random input test were conducted. The results show that: at different speeds through the triangular bump, its maximum acceleration is far less than 31.44m2/s, there is no harm to the driver's health; random input road ride comfort simulation trials has similar results, with the improving speed, the acceleration rms value of the driver's seat increases, but the driver will not feel uncomfortable. In addition, it was analyzed the influence of front and rear suspension spring stiffness and vibration-damper damping on the vehicle ride comfort, and increasing or decreasing of each parameter affect the trend on the vehicle's ride comfort.


2018 ◽  
Vol 37 (3) ◽  
pp. 619-639 ◽  
Author(s):  
Piotr Krauze ◽  
Jerzy Kasprzyk ◽  
Andrzej Kozyra ◽  
Jaroslaw Rzepecki

The paper presents an experimental analysis of the selected feedback vibration control schemes dedicated to magnetorheological dampers, related to ride comfort and road holding. They were applied in a complex vibration control system installed in a commercially available off-road vehicle. Original shock-absorbers of the vehicle were replaced with magnetorheological dampers. The control system takes advantage of numerous sensors installed in the vehicle tracking its motion, i.e. accelerometers, suspension deflection sensors (linear variable differential transformer) and IMU module. Vibration control algorithms: Skyhook, PI, and Groundhook were tested experimentally using mechanical exciters adapted for diagnosis of a vehicle suspension system. Since the presented semi-active vibration control requires the magnetorheological damper inverse model to be applied, accurate operation of this model significantly influences the quality of vibration control. Therefore, additional analysis was related to application of measurements from accelerometers or suspension deflection sensors in the inverse model. Presented variants of control algorithms were compared by means of transmissibility characteristics evaluated in the frequency domain as well as using ride-comfort- and driving-safety-related quality indices. It was confirmed that the Skyhook control as well as PI improved ride comfort, whereas Groundhook control improved road holding and decreases vibration of the wheels. Furthermore, it was shown that both approaches to the relative velocity estimation, based on accelerometers and linear variable differential transformers, can be used in this application. However, the first solution gives better results in the case of the Skyhook and PI control, whereas application of LVDT sensors is better for the Groundhook algorithm.


Author(s):  
Jianfeng Sun ◽  
Maoru Chi ◽  
Wubin Cai ◽  
Hongxing Gao ◽  
Shulin Liang

Ride comfort is a long-standing research topic and has been deeply investigated due to its great influence on evaluating the performances of railway vehicles. Many standards have been proposed to evaluate the ride comfort of the railway vehicles. However, the carbody hunting instability was rarely considered during the evaluation of ride comfort. To face this problem, this paper performs the comparison of various evaluation methods for ride comfort in the case of carbody hunting instability. The Sperling method, Mean Comfort standard method and Continuous Comfort method are introduced and compared focusing on the specific experimental data. The benefits and limitations of these methods are analyzed and the most appropriate evaluation method for the condition of carbody hunting instability is determined. Moreover, making full use of the peak value information, an original evaluation method of ride comfort specifically to the carbody hunting instability is proposed. The critical parameters of the method are compared and discussed to investigate their influences on the evaluation results.


2014 ◽  
Vol 711 ◽  
pp. 78-81
Author(s):  
Jie Li ◽  
Zhen Wei Zhang ◽  
Shao Wei Chen ◽  
Chu Xu Zhang

The plane vibration model of minibus with 7 DOF is used to study ride comfort of minibus under road random input. The system frequency response characteristics based on the road input of front wheel is derived with the analysis method in frequency domain. The frequency response function, power spectral density and root mean square value of vibration response variables are determined. Ride comfort simulation software for minibus under road random input is developed with Matlab and applied to ride comfort analysis of a minibus under road random input. The results show that ride comfort of the minibus is better in the case of full load and road Class B at the speed of 70km/h.


Sign in / Sign up

Export Citation Format

Share Document