Ride Comfort Simulation of Minibus under Road Pulse Input

2013 ◽  
Vol 467 ◽  
pp. 570-573 ◽  
Author(s):  
Jie Li ◽  
Yan Lei Zhu ◽  
Shao Wei Chen ◽  
Yong Gang Cui
Keyword(s):  
Ride Comfort ◽  
Simulation Software ◽  
Vibration Response ◽  
Absolute Value ◽  
Pulse Input ◽  
Plane Vibration ◽  
The Road ◽  
Vibration Model ◽  
Chinese Standard ◽  
Response Variables

The plane vibration model of minibus with seven degree-of-freedom and its vibration response variables are established according to the plane and linear assumptions. The road pulse input is expressed based on Chinese standard with number of GB/T4970-2009. Ride comfort simulation software of minibus under road pulse input is developed with Matlab and applied to ride comfort analysis of minibus under road pulse input. A minibus is selected to analyze its ride comfort and the maximum absolute value of the vibration response variables are obtained at the speed from 10 to 60 kmh-1. The results show that the model and software can be used to ride comfort simulation of a minibus under road pulse input.

Fuzzy Control and Co-Simulation of Automobile Semi-Active Suspension System Based on SIMPACK and MATLAB

2010 ◽  
Vol 39 ◽  
pp. 50-54 ◽  
Author(s):  
Shao Yi Bei ◽  
Jing Bo Zhao ◽  
Lan Chun Zhang ◽  
Shao Hua Liu
Keyword(s):  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Simulation Software ◽  
Suspension System ◽  
The Body ◽  
Vertical Acceleration ◽  
Passive Suspension ◽  
Pulse Input ◽  
Car Model

Using the multi-body simulation software SIMPACK as platform, a whole CHANGHE mini-car model was built. A fuzzy controller was adopted based on MATLAB/SIMULINK software to control the full car model. Pulse input running test simulation was carried out under co-simulation of SIMAT. The results showed that compared to passive suspension, with the speed 40km/h, the body vertical acceleration, body pitch angular velocity, standard deviation and peak were respectively decreased by 10.76%, 18.03% and 20.48%, 12.13%. The semi-active suspension system with fuzzy controller had better performance than passive suspension, reduced vibration effectively and improved automotive ride comfort.

Ride Comfort Simulation of Minibus under Road Random Input

2014 ◽  
Vol 711 ◽  
pp. 78-81
Author(s):  
Jie Li ◽  
Zhen Wei Zhang ◽  
Shao Wei Chen ◽  
Chu Xu Zhang
Keyword(s):  
Frequency Response ◽  
Ride Comfort ◽  
Front Wheel ◽  
Simulation Software ◽  
Random Input ◽  
The Road ◽  
Response Characteristics ◽  
Class B ◽  
On The Road ◽  
System Frequency

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.

scholarly journals Classification Scheme for Random Longitudinal Road Unevenness Considering Road Waviness and Vehicle Response

2009 ◽  
Vol 16 (3) ◽  
pp. 273-289 ◽  
Author(s):  
Oldřich Kropáč ◽  
Peter Múčka
Keyword(s):  
Correction Factor ◽  
Ride Comfort ◽  
Vibration Response ◽  
Suitable Alternative ◽  
The Road ◽  
Novel Approach ◽  
Power Spectral ◽  
Road Profile ◽  
Basic Parameters ◽  
Single Number

A novel approach to the road unevenness classification based on the power spectral density with consideration of vehicle vibration response and broad interval of road waviness (road elevation PSD slope) is presented. This approach enables transformation of two basic parameters of road profile elevation PSD (unevenness index,C, and waviness,w) into a single-number indicatorCwwhen using a correction factorKwaccounting forw. For the road classification proposal two planar vehicle models (passenger car and truck), ten responses (reflecting ride comfort, dynamic load of road and cargo, ride safety) and three different vehicle velocities have been considered. The minimum of ten estimated vibration response ranges sum for a broad waviness interval typical for real road sections (w= 1.5 to 3.5) has been used for the correction factor estimation. The introduced unevenness indicator,Cw, reflects the vehicle vibration response and seems to be a suitable alternative to the other currently used single-number indicators or as an extension of the road classification according to the ISO 8608: 1995, which is based on constant waviness value,w= 2.

Quarter Car Ride Model and Optimization Including a Suspension Mechanism

2010 ◽  
Author(s):  
Yıldıray Koray ◽  
U¨mit So¨nmez
Keyword(s):  
Mathematical Model ◽  
Ride Comfort ◽  
Model Simulation ◽  
Simulation Software ◽  
The Other ◽  
Angular Deviation ◽  
Nonlinear Characteristics ◽  
The Road ◽  
Control Scheme ◽  
Quarter Car

In this study, a double wishbone suspension mechanism is modeled attached to a body representing a quarter-car. Quarter car models have been studied extensively in the literature using lumped parameter models usually represented as simple systems made of sprung masses, springs, dampers and unsprung masses. In reality suspension mechanisms consists of control arms, which contribute significantly to the response of the overall system. Considering more complex models system including suspension mechanism usually simulation software are used. The main purpose of this study is to derive and to develop the quarter car’s mathematical model including a suspension mechanism in matrix form, and to use this model simulating and investigating various types of studies. First a mathematical model of the double A arm suspension attached to a car mass is generated and the resulting computer simulations are obtained in MATLAB. Second the same model is created using Adams/View software to validate the mathematical model simulation results. In order to get the realistic responses of the suspension system to the road input, the spectral descriptions are used for generating artificial road profiles. Two types of optimization process are performed, one concerning the dimensional optimization of the mechanism (kinematic/geometric mechanism optimization), the other concerning the nonlinear characteristics of the suspension elements namely coil spring and viscous damper (dynamic ride optimization). In the kinematical optimization, the camber angular deviation and the roll center height are taken into account as the weighted objective function. Considering optimization of the nonlinear characteristics of the damper and the spring, the passenger comfort and the car handling measures are taken into account using ISO 2631 weighting standard. Finally, actuators are included in the model in order to increase the ride comfort by an active control scheme. Two actuators are inserted, one is under the driver seat the other is in the A arm mechanism to form an active suspension. A PID control scheme is used to increase ride comfort. These steps also show that, even though it is cumbersome to obtain the simulations of a realistic mathematical model of a commonly used system; once the simulation model is established, it is easy to perform several types of the studies at once.

scholarly journals Assessing of the Road Pavement Roughness by Means of LiDAR Technology

Coatings ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Maria Rosaria De Blasiis ◽  
Alessandro Di Benedetto ◽  
Margherita Fiani ◽  
Marco Garozzo
Keyword(s):  
High Speed ◽  
Ride Comfort ◽  
Laser Scanner ◽  
Grid Cell ◽  
Satellite System ◽  
Simulation Software ◽  
The Road ◽  
Road Pavement ◽  
Roughness Index ◽  
Global Navigation Satellite

The assessment of the road roughness conditions plays an important role to ensure the required performances related to road safety and ride comfort, furthermore providing a tool for pavement maintenance and rehabilitation planning. In this work, the authors compared the roughness index (International Roughness Index, IRI) derived from high speed inertial profilometer with two other roughness indices, one dynamic and one geometric computed on a digital elevation model (DEM) built by using mobile laser scanner (MLS) data. The MLS data were acquired on an extra-urban road section and interpolated on the nodes of a DEM with a curvilinear abscissa, coinciding with the global navigation satellite system (GNSS) track of the profilometer. To estimate the grid cell elevation, we applied two interpolation methods, ordinary kriging (OK) and inverse distance weighting (IDW), over the same data. The roughness values computed on the surface of the DEM showed a similar trend and a high correlation with those acquired by the profilometer, higher for the dynamic index than for the geometric index. The differences between the IRI values by profilometer and those computed on the DEM were small enough not to significantly affect the judgments on the analyzed sections. Moreover, the road sub-sections derived from profilometer measure that were classified as critical coincided with those derived from light detection and ranging (LiDAR) surveys. The proposed method can be used to perform a network-level analysis. In addition, to evaluate the effects of vibrations on human comfort, we input the DEMs into a dynamic simulation software in order to compute the vertical accelerations, as specified in the UNI ISO 2631 standard. The values obtained were in line and correlated with those inferred from the standard methodology for profilometer measures.

The Time Domain Simulation of Non-Stationary Road Roughness

2013 ◽  
Vol 423-426 ◽  
pp. 1238-1242
Author(s):  
Hao Wang ◽  
Xiao Mei Shi
Keyword(s):  
Power Spectrum ◽  
Time Domain ◽  
Ride Comfort ◽  
Time History ◽  
Random Excitation ◽  
Power Spectrum Density ◽  
The Road ◽  
Road Roughness ◽  
Spectrum Density ◽  
History Of

The input of road roughness, which affects the ride comfort and the handling stability of vehicle, is the main excitation for the running vehicle. The time history of the road roughness was researched with the random phases, based on the stationary power spectrum density of the road roughness determined by the standards. Through the inverse Fourier transform, the random phases can be used to get the road roughness in time domain, together with the amplitude. Then, the time domain simulation of the non-stationary random excitation when the vehicle ran at the changing speed, would also be studied based on the random phases. It is proved that the random road excitation for the vehicle with the changing speed is stationary modulated evolution random excitation, and its power spectrum density is the stationary modulated evolutionary power spectrum density. And the numerical results for the time history of the non-stationary random inputs were also provided. The time history of the non-stationary random road can be used to evaluate the ride comfort of the vehicle which is running at the changing speed.

scholarly journals Design and Kinematics Analysis of Suspension System for a Formula Society of Automotive Engineers (FSAE) Car

2021 ◽  
pp. 48-63
Author(s):  
K. Sriram ◽  
K. Anirudh ◽  
B. Jayanth ◽  
J. Anjaneyulu
Keyword(s):  
Vehicle Control ◽  
Simulation Software ◽  
Suspension System ◽  
Road Surface ◽  
Kinematics Analysis ◽  
Kinematic Simulation ◽  
Kinematic Design ◽  
The Road ◽  
Adams Simulation

The main objective of the Suspension of a vehicle is to maximize the contact between the vehicle tires and the road surface, provide steering stability and provide safe vehicle control in all conditions, evenly support the weight of the vehicle, transfer the loads to springs, and guaranteeing the comfort of the driver by absorbing and dampening shock. This paper discusses the kinematic design of a double a-arm Suspension system for an FSAE Vehicle. The hardpoint’s location can be determined using this procedure to simulate motion in any kinematic simulation software. Here, Optimum Kinematics is used as kinematic simulation software, and the results are verified using Msc Adams simulation. The method illustrated deals with the basics of Kinematics which helps to predict the characteristics of the Suspension even before simulating it in the kinematic simulation software.

scholarly journals Mathematical Modelling of Two-Wheeler Suspension system in a wavy road

2019 ◽  
Vol 8 (11) ◽  
pp. 3630-3635
Keyword(s):  
Ride Comfort ◽  
Health Hazard ◽  
Suspension System ◽  
Vehicle Body ◽  
Continuous Exposure ◽  
Potential Health ◽  
Suspension Spring ◽  
The Road ◽  
Potential Health Hazard ◽  
Two Wheeler

Two wheelers like motorbikes and scooters are one of the major transports in India. In major cities and towns, it is most common private transport as it is fast and easy approach to the destination. But the prolonged drive in the two-wheeler leads to the potential health hazard and musco-skeletal disorder due to continuous exposure to the vibration caused during the ride and force transmitted to the vehicle body due to road irregularities. It is a challenge of automobile engineers to design a promising suspension system to overcome the risk of ride comfort during continuous driving. In this research, two-wheeler suspension system is modelled with a condition of bump and valley in a wavy road. The road surface is assumed to be wavy and the response of new suspension spring with different materials (stainless steel, tungsten and polymeric) along with viscous damper is analyzed and compared. By this analysis, it will be proposed to industry to modify the suspension system to improve its efficiency and reduce force transmitted to the human body to improve the ride comfort

Influence of the road profile accuracy on disturbance compensation in active suspension systems

2021 ◽  
Vol 69 (6) ◽  
pp. 485-498
Author(s):  
Felix Anhalt ◽  
Boris Lohmann
Keyword(s):  
Ride Comfort ◽  
Feedforward Control ◽  
Active Suspension ◽  
Disturbance Compensation ◽  
Critical Factors ◽  
The Road ◽  
Suspension Systems ◽  
Active Suspension Systems ◽  
Road Profile ◽  
Profile Accuracy

Abstract By applying disturbance feedforward control in active suspension systems, knowledge of the road profile can be used to increase ride comfort and safety. As the assumed road profile will never match the real one perfectly, we examine the performance of different disturbance compensators under various deteriorations of the assumed road profile using both synthetic and measured profiles and two quarter vehicle models of different complexity. While a generally valid statement on the maximum tolerable deterioration cannot be made, we identify particularly critical factors and derive recommendations for practical use.

A nonlinear dynamic vibration model of a defective bearing: the importance of modelling the angle of the leading and trailing edges of a defect

2020 ◽  
pp. 147592172096395
Author(s):  
Francesco Larizza ◽  
Carl Q Howard ◽  
Steven Grainger ◽  
Wenyi Wang
Keyword(s):  
Numerical Model ◽  
Surface Defects ◽  
Vibration Response ◽  
Rolling Element Bearing ◽  
Analytical Models ◽  
Bearing Defect ◽  
Defect Profile ◽  
Vibration Model ◽  
Trailing Edges ◽  
Rolling Element

Rolling element bearings eventually become worn and fail by developing surface defects, such as spalls, dents and pits. Previous researchers have tested bearings with defects that have sharp [Formula: see text] rectangular edges that were used to develop analytical models of a defective bearing. These models have limitations that require smooth surfaces and constant curvature of the bearing components; as well as assuming the defect profile. A method has been created to capture the surface topography of a bearing defect. A numerical model has been developed for a rolling element bearing that uses the measured defect profile and removes the limitations of models by previous researchers that use analytical expressions for contact area and force. The predicted vibration response of a bearing with a defect that has sloped leading and trailing edges on the outer and inner raceway was compared with experimental results. It was found that the new numerical model was able to predict the vibration response of a defective bearing. The defect topographies and the developed model have been made publicly available.

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