INVESTIGATE VEHICLE DESIGN PARAMETERS EFFECT ON DYNAMIC VEHICLE STABILITY | ||||
| Journal of Advanced Engineering Trends | ||||
| Article 1, Volume 39, Issue 1, January 2020, Page 1-12 PDF (2.87 MB) | ||||
| DOI: 10.21608/jaet.2020.73278 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mina M. Ibrahim  ; K. A. Abd El-Gwwad; M. M. M. Salem; M. Mourad
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| Automotive and Tractors Eng. Dept., Faculty of Engineering, Minia University, El-Minia Egypt, 61111 | ||||
| Abstract | ||||
| In this paper, a two degree of freedom linear vehicle model is proposed to investigate dynamic vehicle stability under varies vehicle maneuvers. The simulation is developed using MATLAB/Simulink application program to predict the vehicle dynamic stability under different maneuvers. To investigate vehicle stability, the Steering wheel angle is chosen to be the primary model input for the analysis procedures. The developed model is validated via Step steer input. Moreover, a new typical steer wheel angle is developed to examine highway predicted vehicle output within its maneuver. The vehicle dynamic outputs, namely, yaw rate and lateral acceleration are adopted for all the investigated maneuvers. It is found that the vehicle design parameters such as changing the vehicle center of gravity (CG) position, vehicle mass, tire cornering stiffness and vehicle speed have a significant influence on the vehicle dynamic stability. Change in vehicle center of gravity position is the most parameter has an influence in vehicle stability dynamics. 10% forward and reward in the C.G position change in under steering gradient, it changes steering in vehicle model from under steering type to over steering type, on the other hand, vehicle mass change ±10% change in vehicle mass has the latest influence in vehicle stability dynamic. Others have a different rate effect on vehicle dynamic stability. | ||||
| Keywords | ||||
| Yaw rate; vehicle stability dynamics; Parameters | ||||
| References | ||||
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[1] MATLAB. The MathWorks. Inc, United States, patents. 2005. [2] Ko, Y. and C. Song, Vehicle modeling with nonlinear tires for vehicle stability analysis. International Journal of Automotive Technology, 2010. 11(3): p. 339-344. [3] Khan, M.M., A.U. Awan, and M. Liaquat,Improving Vehicle Handling and Stability under Uncertainties using Probabilistic Approach. IFAC-PapersOnLine, 2015. 48(25): p. 242-247. [4] Subramaniyam, K.V., C.N. Kumar, and S.C. Subramanian, Analysis of Handling Performance of Hybrid Electric Vehicles. IFAC-PapersOnLine, 2018. 51(1): p. 190-195. [5] Kirli, A. and M.S. Arslan, Optimization of parameters in the hysteresis-based steering feel model for steer-by-wire systems. IFAC-PapersOnLine, 2016. 49(3): p. 129-134. [6] Tavoosi, V., R. Kazemi, and S. Hosseini, Vehicle handling improvement with steer-by-wire system using hardware in the loop method. Journal of applied research and technology, 2014. 12(4): p. 769-781. [7] Lee, S., K. Nakano, and M. Ohori, Identification of yaw moment of inertia of a truck during travelling. IFAC Proceedings Volumes, 2013. 46(21): p. 768-772. [8] De Bruyne, S., et al. Online estimation of vehicle inertial parameters for improving chassis control systems. in IFAC World Congress. 2011. [9] Mazumder, H., et al., Performance analysis of EV for different mass distributions to ensure safe handling. Energy Procedia, 2012. 14: p. 949-954. [10] Lin, C., et al., Estimation of Center of Gravity Position for Distributed Driving Electric Vehicles Based on Combined H∞-EKF Method. Energy Procedia, 2016. 88: p. 970-977. [11] Wesemeier, D. and R. Isermann, Identification of vehicle parameters using stationary driving maneuvers. Control Engineering Practice, 2009. 17(12): p. 1426-1431. [12] Crolla, D., G. Firth, and D. Horton, An introduction to vehicle dynamics. 1992: University of Leeds, Department of Mechanical Engineering. [13] Ranganathan, R. and A. Aia, Development of heavy vehicle dynamic stability analysis model using MATLAB/SIMULINK. 1995, SAE Technical Paper. | ||||
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