Abstract: In the engineering road vehicles, simulating the dynamic behavior is very important because it allows us to study real-world systems without making changes in their actual development, the ultimate goal being to find the ideal configuration. Mathematical models simulate physical tests that allow engineers to see similar results from testing of motor vehicles, but can be obtained repeatedly, safe and much faster than is possible by performing physical tests. We use virtual simulations for the CarSim software, which is a commercial software package that provides efficiency vehicle response to the driver's commands (steering, throttle, brakes or clutch shift) in a given environment (road geometry, coefficients of friction and wind).
Keywords: road vehicles, testing of motor vehicles, CarSim software, MacPherson suspension
(ProQuest: ... denotes formulae omitted.)
1 INTRODUCTION
In the engineering road vehicles, simulating the dynamic behavior is very important because it allows us to study real-world systems without making changes in their actual development, the ultimate goal being to find the ideal configuration. In our experiments we use the virtual simulations offered by the CarSim software (Figure 1), which is a commercial software package that provides efficiency vehicle response to the driver's commands (steering, throttle, brakes, clutch shift) in a given environment (road geometry, coefficients of friction, wind) [1], [2].
To validate simulation models we considered the case of a small car compact coupe class. The feature of this class is the body in two-door, fixed roof and trunk of a sedan shorter than the same model.
The configuration of the Ford Puma is all face 2 + 2-seater, based on the Ford Fiesta platform, but increased track width, aerodynamic bodywork, suspension and stiffer gearbox with shorter ratios.
2.MATHEMATIC MODEL OF THE MACPHERSON SUSPENSION
For a dynamic simulation of a MacPherson suspension it is necessary to identify its mathematical model; mainly, the MacPherson suspension is composed of a damper and a spring element fitted to a link mechanism (Figure 2) [3], [4]. The sizing mechanism is made for each vehicle individually. The mathematical equations describing the dynamics of the system are the following [5], [6]:
... (1)
... (2)
The status variables are: [x1 x2 x3 x4]T = [ZS ZS в в]T
... (3)
where: Zs is the vertical displacement of the vehicle body weight; Żs is the speed of vertical motion of the vehicle body (bodywork, engine, passenger); в is the movement of the control arm; в is the angular speed of movement of the control arm.
The system of nonlinear equations is:
... (4)
Where: A is the matrix of the parameters of the suspension; B1 is the matrix of the active force; B2 is the matrix that takes into account road profile;B3 is the matrix that takes into account the force applied to the vehicle chassis.
...
The software test route is an uneven road which frequency is regular, so the shocks felt by the mechanism of suspension of the car have a sinusoidal distribution. In this paper we will focus on three characteristic parameters: angle of fall coefficient of compression springs and ride height [7].
3.RESULTS ANALYSIS
The results of the simulation are shown in graphical form as follows:
- Forces on the vertical oscillation (Figure 3)
- Angle of fall according to the damping stroke (Figure 4)
- Damping force (Figure 5)
- Spring compression (Figure 6)
4.CONCLUSIONS
Mathematical models reproduce the behavior of the system at high fidelity. They contain major effects that determine how the tire comes into contact with the road and how the forces resulting from the interaction tire / road transferred through the chassis suspension. However, they do not provide details about transmission connections or compliance structure. The models were validated repeatedly by the manufacturers for the reproduction of motor vehicles, generally the movements necessary for assessing handling (stability, braking and acceleration). On the other hand, these do not include the details necessary for determining the durability of components, fatigue or high-frequency vibration
References
[1 ] https://www.carsim.com/products/carsim/index.php
[2] https://www.carsim.com/products/supporting/simulink/index.php
[3] Keum-Shik Hong, Dong-Seop Jeon and Hyun-Chul Sohn, (1999). A New Modeling of the Macpherson Suspension System and its Optimal Pole-Placement Control, Proceedings of the 7th Mediterranean Conference on Control and Automation (MED99) Haifa, Israel - June 28-30
[4] H. Chen, Z. Y. Liu and P. Y. Liu, Application of Constrained H8 Control to Active Suspension Systems on Half-Car Models, ASME Journal of Dynamic Systems, Measurement, and Control September 2005, Vol. 127 / 345
[5] Patil, A., Mathematical Model for Kinematic Analysis of McPherson Strut Suspension, SAE Technical Paper 2016-28-0184, 2016
[6] http://www.minitab.com/en-US/default.aspx
[7] W. Gao, N. Zhang and H. P. Du, A half-car model for dynamic analysis of vehicles with random parameters, 5th Australian Congress on Applied Mechanics(ACAM 2007),Brisbane, Australia
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Abstract
In the engineering road vehicles, simulating the dynamic behavior is very important because it allows us to study real-world systems without making changes in their actual development, the ultimate goal being to find the ideal configuration. Mathematical models simulate physical tests that allow engineers to see similar results from testing of motor vehicles, but can be obtained repeatedly, safe and much faster than is possible by performing physical tests. We use virtual simulations for the CarSim software, which is a commercial software package that provides efficiency vehicle response to the driver's commands (steering, throttle, brakes or clutch shift) in a given environment (road geometry, coefficients of friction and wind).
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Unlversity Politehnica Timisoara, Faculty of Engineering Hunedoara, Department of Engineering and Management, Hunedoara, ROMANIA
2 University Politehnica Timisoara, Faculty of Engineering Hunedoara, Department of Electrical Engineering and Industrial Informatics, Hunedoara, ROMANIA