Advanced Transportation Equipment

Study on Rollover Index and Stability for a Triaxle Bus

  • Zhilin Jin ,
  • Jingxuan Li ,
  • Yanjun Huang ,
  • Amir Khajepour
展开
  • 1. Department of Vehicle Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, Jiangsu Province 210016, China;
    2. Department of Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada

收稿日期: 2019-04-24

  修回日期: 2019-06-19

  网络出版日期: 2019-09-24

基金资助

Supported by National Natural Science Foundation of China (Grant No. 51775269)

Study on Rollover Index and Stability for a Triaxle Bus

  • Zhilin Jin ,
  • Jingxuan Li ,
  • Yanjun Huang ,
  • Amir Khajepour
Expand
  • 1. Department of Vehicle Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, Jiangsu Province 210016, China;
    2. Department of Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada

Received date: 2019-04-24

  Revised date: 2019-06-19

  Online published: 2019-09-24

Supported by

Supported by National Natural Science Foundation of China (Grant No. 51775269)

摘要

Vehicle rollover, and its resulting fatalities, is an actively researched topic especially for multi-axle vehicles in the field of vehicle dynamics and control. This paper first presents a new rollover index for a triaxle bus to accurately evaluate its rollover possibility and then discusses the influence laws of the vehicle rollover dynamics to explore the mechanism of its stability. First, a six degree of freedom rollover model of the triaxle bus is developed, including lateral, yaw, roll motion of the sprung mass of the front/rear axle, and roll motion of the unsprung mass of the front/rear axle. Next, some key parameters of the vehicle rollover model are identified. A new rollover index is deduced according to the basics of vehicle dynamics, to predict vehicle rollover risk for the triaxle bus, which is verified by TruckSim. Furthermore, the influence laws of vehicle rollover dynamics by vehicle parameters and road parameters are discussed based on the simulation results. More importantly, the results show that the new method of modeling can precisely describe the rollover dynamics of the studied bus, and the proposed new index can effectively evaluate the rollover possibility. Therefore, this study provides a theoretical basis to improve anti-rollover ability for triaxle buses.

本文引用格式

Zhilin Jin , Jingxuan Li , Yanjun Huang , Amir Khajepour . Study on Rollover Index and Stability for a Triaxle Bus[J]. Chinese Journal of Mechanical Engineering, 2019 , 32(4) : 64 -64 . DOI: 10.1186/s10033-019-0376-0

Abstract

Vehicle rollover, and its resulting fatalities, is an actively researched topic especially for multi-axle vehicles in the field of vehicle dynamics and control. This paper first presents a new rollover index for a triaxle bus to accurately evaluate its rollover possibility and then discusses the influence laws of the vehicle rollover dynamics to explore the mechanism of its stability. First, a six degree of freedom rollover model of the triaxle bus is developed, including lateral, yaw, roll motion of the sprung mass of the front/rear axle, and roll motion of the unsprung mass of the front/rear axle. Next, some key parameters of the vehicle rollover model are identified. A new rollover index is deduced according to the basics of vehicle dynamics, to predict vehicle rollover risk for the triaxle bus, which is verified by TruckSim. Furthermore, the influence laws of vehicle rollover dynamics by vehicle parameters and road parameters are discussed based on the simulation results. More importantly, the results show that the new method of modeling can precisely describe the rollover dynamics of the studied bus, and the proposed new index can effectively evaluate the rollover possibility. Therefore, this study provides a theoretical basis to improve anti-rollover ability for triaxle buses.

参考文献

[1] National Highway Traffic Safety Administration. Traffic safety facts 2014: a compilation of motor vehicle crash data from the fatality analysis reporting system and the general estimates system. US, Department of Transportation, Washington, DC, 2016: 70-77.
[2] H Huang, R Yedavalli, D Guenther. Active roll control for rollover prevention of heavy articulated vehicles with multiple-rollover-index minimization. Vehicle System Dynamics, 2012, 50(3): 471-493.
[3] G Yu, H Li, P Wang, et al. Real-time bus rollover prediction algorithm with road bank angle estimation. Chaos Solitons & Fractals, 2016, 89(2): 270-283.
[4] G Yu. Road bank estimation for bus rollover prediction. Applied Mathematics & Information Sciences, 2013, 7(5): 2027-2034.
[5] Y Zhang, A Khajepour, X Xie. Rollover prevention for sport utility vehicles usi0ng a pulsed active rear-steering strategy. Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, 2016, 230(9): 1239-1253.
[6] Z Jin, L Zhang, J Zhang, et al. Stability and optimized H∞ control of tripped and untripped vehicle rollover. Vehicle System Dynamics, 2016, 54(10): 1405-1427.
[7] W Bao, S Hu. Vehicle rollover simulation analysis considering road excitation. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(2): 59-65.
[8] Y Pourasad, M Mahmoodi-K, M Oveisi. Design of an optimal active stabilizer mechanism for enhancing vehicle rolling resistance. Journal of Central South University, 2016, 23(5): 1142-1151.
[9] F Yakub, S Lee, Y Mori. Comparative study of MPC and LQC with disturbance rejection control for heavy vehicle rollover prevention in an inclement environment. Journal of Mechanical Science & Technology, 2016, 30(8): 3835-3845.
[10] D Tan, H Wang, Q Wang. Study on the rollover characteristic of In-Wheel-Motor-Driven electric vehicles considering road and electromagnetic excitation. Shock and Vibration, 2016, 2016(10): 1-13.
[11] J Na, T Wang, C Wu, et al. A four-node membrane element model with bending modification for one-step algorithm for bus rollover impact. Engineering Computations, 2015, 32(3): 607-620.
[12] C Bojanowski. Comprehensive rollover testing of paratransit buses. International Journal of Heavy Vehicle Systems, 2013, 20(1): 76-98.
[13] W Liu, H He, F Sun, et al. Integrated chassis control for a three-axle electric bus with distributed driving motors and active rear steering system. Vehicle System Dynamics, 2017, 55(5): 1-25.
[14] F Li, G Li, C Ran, et al. Speed calculation model and simulation of rollover prevention in condition of extreme turn based on lateral force coefficient. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(3): 41-47.
[15] J Rath, M Defoort, K Veluvolu. Rollover index estimation in the presence of sensor faults, unknown inputs, and uncertainties. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(10): 2949-2959.
[16] G Phanomchoeng, R Rajamani. New rollover index for the detection of tripped and untripped rollovers. IEEE Transactions on Industrial Electronics, 2013, 60(10): 4726-4736.
[17] H Li, Y Zhao, H Wang, et al. Design of an improved predictive LTR for rollover warning systems. Journal of the Brazilian Society of Mechanical Sciences & Engineering, 2017, 39(10): 3779-3791.
[18] Z Jin, J Weng, J Zhang, et al. Dynamic stability of a driver-vehicle rollover system with time delay. International Journal of Vibration Engineering & Technology, 2014, 2(1): 59-71.
[19] Y Li, W Sun, J Huang, et al. Effect of vertical and lateral coupling between tyre and road on vehicle rollover. Vehicle System Dynamics, 2013, 51(8): 1216-1241.
[20] D Odenthal, T Bunte, J Ackermann. Nonlinear steering and braking control for vehicle rollover avoidance. Control Conference, IEEE, 2015: 598-603.
[21] H Imine, M Djemaï. Switched control for reducing impact of vertical forces on road and Heavy-Vehicle rollover avoidance. IEEE Transactions on Vehicular Technology, 2015, 65(6): 4044-4052.
[22] P Gaspar, I Szaszi, J Bokor. Brake control to prevent the rollover of heavy vehicles based on a linear parameter varying model. European Control Conference, IEEE, 2015: 3100-3105.
[23] V T Vu, O Sename, L Dugard, et al. H∞ active anti-roll bar control to prevent rollover of heavy vehicles: a robustness analysis. IFAC-Papers Online, 2016, 49(9): 99-104.
[24] D Wollherr, J Mareczek, M Buss, et al. Rollover avoidance for steerable vehicles by invariance control. Control Conference, IEEE, 2015: 3522-3527.
[25] Y Zhang, Y Huang, H Wang, et al. A comparative study of equivalent modelling for multi-axle vehicle. Vehicle System Dynamics, 2018, 56(2): 1-18.
[26] D Williams. On the equivalent wheelbase of a three-axle vehicle. Vehicle System Dynamics, 2011, 49(9): 1521-1532.
[27] Z Jin, J Weng, H Hu. Rollover stability of a vehicle during critical driving manoeuvres. Proceedings of the Institution of Mechanical Engineers Part D: Journal of Automobile Engineering, 2007, 221(9): 1041-1049.
[28] H Imine, A Benallegue, T Madani, et al. Rollover risk prediction of heavy vehicle using High-Order Sliding-Mode observer: Experimental results. IEEE
文章导航

/