Ride Comfort Analysis of Car Suspension Parameters on the Random Road

2012 ◽  
Vol 248 ◽  
pp. 185-189
Author(s):  
Jian Wei Yang ◽  
Guang Ye Zhang ◽  
Min Na Zhang

In this paper, based on the car suspension parameters of OEM, the ADAMS software was used to establish 1/4 car suspension model. To get the better ride comfort, the comprehensive analysis of spring stiffness and damping was conducted to obtain the optimal suspension parameters. The simulation results and the experimental results are consistent, which laid a good foundation for further analysis other design of cars.

Author(s):  
Ambarish Kulkarni ◽  
Sagheer A Ranjha ◽  
Ajay Kapoor

Electric vehicles (EVs) are an alternative architecture in the automotive industry that provide reduced emissions. This research has developed a switch reluctance motor (SRM) in-wheel drivetrain for an EV. SRM drivetrains are cheaper and do not use rare earth elements unlike a permanent magnet motor (PMM). Conversely, the in-wheel SRM has a drawback of an increased mass on the suspension when compared with an equivalent power output PMM drivetrain. This situation results in an increased mass at the wheels; hence, a suspension analysis is required. This paper discusses the suspension dynamics evaluated using a quarter-car simulation of an in-wheel SRM EV and compares it to the internal combustion engine (ICE) vehicle. The simulation used step loads derived design scenarios, namely (1) sprung, (2) unsprung and (3) driver’s seat. Further Bode plot analysis techniques were used to determine the ride comfort range for the developed EV.


2012 ◽  
Vol 562-564 ◽  
pp. 1186-1190
Author(s):  
Xian Yue Gang ◽  
Wen Bo Zhu

In order to analyze suspension’ impact on vehicle ride comfort and road-friendly and the way to chose reasonable suspension parameters,a two DOF suspension model was established. Taking RMS of sprung mass acceleration and dynamic load of unsprung mass, a multi-objective suspension parameters optimization model was carried out by optimal points method. After the optimization,the RMS of body decreases by 36.24%,and the RMS of dynamic load decreases by 17.71%.As is stated above, optimal suspension parameters can improve the ride comfort as well as road-friendly.


2005 ◽  
Vol 19 (07n09) ◽  
pp. 1381-1387 ◽  
Author(s):  
X. M. DONG ◽  
MIAO YU ◽  
S. L. HUANG ◽  
ZUSHU LI ◽  
W. M. CHEN

MR suspension systems have significant non-linearity and time-delay characteristics. For this reason, linear feedback control of an MR suspension has limited vibration control performance. To address this problem, a four DOF half car suspension model with two MR dampers was adopted. Having analyzed non-linearity and time-delay of the MR suspension, a Human-Simulation Intelligent Control (HSIC) law with three levels was designed. Simulation verified effects of HSIC in solving the problem of non-linearity and time-delay of MR dampers. In comparison, simulation of linear-quadratic gaussian (LQG) without considering the non-linearity and time-delay of MR suspension is also made. The simulation results show that the HSIC controller is faster than LQG controller under bump input and has better stability and accuracy, and it can achieve smaller acceleration peak value and root mean square (RMS) and better ride comfort compared with LQG controller under random input.


2013 ◽  
Vol 433-435 ◽  
pp. 1072-1077
Author(s):  
Yu Lin Zhang

The non-linear characteristics of magneto-rheological (MR) suspension systems have limited control performance of modern control theory based on linear feedback control. In this paper, a four DOF half car suspension model with two nonlinear MR dampers is adopted. In order to account for the nonlinearity, a sliding mode controller, which has inherent robustness against system nonlinearity, is formulated to improve comfort and road holding of the car under industrial specifications and it is fit to semi-active suspensions. The numerical result shows that the semi-active suspension using the sliding mode controller can achieve better ride comfort than the passive and also improve stability.


Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2442
Author(s):  
Ayman Aljarbouh ◽  
Muhammad Fayaz ◽  
Muhammad Shuaib Qureshi ◽  
Younes Boujoudar

With the advance in technology in driving vehicles, there is currently more emphasis on developing advanced control systems for better road handling stability and ride comfort. However, one of the challenging problems in the design and implementation of intelligent suspension systems is that there is currently no solution supporting the export of generic suspension models and control components for integration into embedded Electronic Control Units (ECUs). This significantly limits the usage of embedded suspension components in automotive production code software as it requires very high efforts in implementation, manual testing, and fulfilling coding requirements. This paper introduces a new dynamic model of full-car suspension system with semi-active suspension behavior and provides a hybrid sliding mode approach for control of full-car suspension dynamics such that the road handling stability and ride comfort characteristics are ensured. The semi-active suspension model and the hybrid sliding mode controller are implemented as Functional Mock-Up Units (FMUs) conforming to the Functional Mock-Up Interface for embedded systems (eFMI) and are calibrated with a set experimental tests using a 1/5 Soben-car test bench. The methods and prototype implementation proposed in this paper allow both model and controller re-usability and provide a generic way of integrating models and control software into embedded ECUs.


Author(s):  
Wenfeng Li ◽  
Xiaomin Dong ◽  
Jianqiang Yu ◽  
Jun Xi ◽  
Chengwang Pan

To avoid the limitation of conventional vehicle magnetorheological (MR) suspension, a variable damping and inertia device is applied in the vehicle suspension with MR technology. A semi-active adaptive MR inerter (AMRI) is discussed. A quarter car suspension model with an AMRI installed in parallel with a double-ended MR damper (D-MRD) is considered. First, the vehicle suspension with variable damping and inertia is analyzed. The prototype of D-MRD and MR variable inertia flywheel (MRVIF) are fabricated and tested respectively. Then, the control model of D-MRD and MRVIF is developed on the basis of test data. An improved Fuzzy PID controller for the semi-active suspension with D-MRD and AMRI is formulated. Numerical simulation is investigated to validate the proposed variable damping and inertia device. The results demonstrate that the performance of the semi-active suspension with D-MRD and AMRI can achieve much better ride comfort than the semi-active suspension with only D-MRD or AMRI.


2021 ◽  
pp. 004051752098812
Author(s):  
Xixi Qian ◽  
Yuanying Shen ◽  
Qiaoli Cao ◽  
Jun Ruan ◽  
Chongwen Yu

A simulation describing the fiber movement during the condensation was conducted, and the effect of the condensation in the carding machine was studied. The simulation results showed that the condensation has the blending and the evening effect on the condensed sliver, which can be explained by the fiber rearrangement. Moreover, the increasing web width and the decreasing condensing length can result in a more uniform sliver. Further, the evening effect of the web width on the web was verified by experiments. The simulation results were in general agreement with the experimental results.


2017 ◽  
Vol 139 (3) ◽  
Author(s):  
Yechen Qin ◽  
Feng Zhao ◽  
Zhenfeng Wang ◽  
Liang Gu ◽  
Mingming Dong

This paper presents a comprehensive comparison and analysis for the effect of time delay on the five most representative semi-active suspension control strategies, and refers to four unsolved problems related to semi-active suspension performance and delay mechanism that existed. Dynamic characteristics of a commercially available continuous damping control (CDC) damper were first studied, and a material test system (MTS) load frame was used to depict the velocity-force map for a CDC damper. Both inverse and boundary models were developed to determine dynamic characteristics of the damper. In addition, in order for an improper damper delay of the form t+τ to be corrected, a delay mechanism of controllable damper was discussed in detail. Numerical simulation for five control strategies, i.e., modified skyhook control SC, hybrid control (HC), COC, model reference sliding mode control (MRSMC), and integrated error neuro control (IENC), with three different time delays: 5 ms, 10 ms, and 15 ms was performed. Simulation results displayed that by changing control weights/variables, performance of all five control strategies varied from being ride comfort oriented to being road handling oriented. Furthermore, increase in delay time resulted in deterioration of both ride comfort and road handling. Specifically, ride comfort was affected more than road handling. The answers to all four questions were finally provided according to simulation results.


2013 ◽  
Vol 718-720 ◽  
pp. 1673-1676
Author(s):  
Yun Chao Wang ◽  
Wen Jie Pang ◽  
Mei Zhou

Digging performances of excavator is a key important index for evaluation of excavator. It is a very complex and heavy work to compute digging performance of excavator. So a compact hydraulic excavator model was built by ADAMS software. The theoretical maximum tool force of excavator was analyzed. For bucket digging mode, the maximum tool force were analyzed for boom cylinder seven positions during the whole working range and the effect of different factors were discussed. The practical maximum tool force was gained. The actual tool force variations were found through the analysis of simulation results. It provides the basis for design and improvement of excavator.


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