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Vehicle dynamics

About: Vehicle dynamics is a research topic. Over the lifetime, 12909 publications have been published within this topic receiving 204091 citations.


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Journal ArticleDOI
TL;DR: In this article, the influence of vehicle physical characteristics on vehicle lateral behavior was investigated in terms of saddle-node bifurcation parameters, such as centre of mass longitudinal position, tyre cornering stiffness and front/rear roll stiffness ratio on vehicle stability.
Abstract: This paper deals with in-curve vehicle lateral behaviour and is aimed to find out which vehicle physical characteristics affect significantly its stability. Two different analytical methods, one numerical (phase plane) and the other graphical (handling diagram) are discussed. The numerical model refers to the complete quadricycle, while the graphical one refers to a bicycle model. Both models take into account lateral load transfers and nonlinear Pacejka tyre–road interactions. The influence of centre of mass longitudinal position, tyre cornering stiffness and front/rear roll stiffness ratio on vehicle stability are analysed. The presented results are in good agreement with theoretical expectations about the above parameters influence, and show how some physical characteristics behave as saddle-node bifurcation parameters.

61 citations

Journal ArticleDOI
TL;DR: A decentralized adaptive control system for a four motor-generator four-wheel drive hybrid electric vehicle (HEV) is designed and its ability to deal with unknown tire dynamics, changing road surfaces, and vehicle loading is evaluated.
Abstract: A decentralized adaptive control system (ACS) for a four motor-generator four-wheel drive hybrid electric vehicle (HEV) is designed and its ability to deal with unknown tire dynamics, changing road surfaces, and vehicle loading is evaluated. A system composed of four separate adaptive controllers is designed to control the vehicle's speed, steering, side slip, and energy management system. A nonlinear simulation model for the vehicle dynamics and its power train components is developed and used to evaluate the performance of the ACS, while the vehicle is simultaneously turning and accelerating or braking under varying loading and icing conditions.

61 citations

Proceedings ArticleDOI
04 Jun 2003
TL;DR: It is demonstrated that, when uncertainties are present, a nominal planning policy generates suboptimal trajectories in both open- and closed-loop guidance, and that trajectories obtained by applying the robust policy are less sensitive to perturbations in the motion primitives.
Abstract: In this paper, we extend a recently introduced motion planning framework for autonomous vehicles based on a maneuver automation representation of the vehicle dynamics We bring robustness into the guidance system by accounting for the uncertainties in the motion primitives used by the maneuver automation The uncertainties are taken into account in the offline computation of a guidance function, as well as in a real-time planning policy We illustrate our approach using a high-fidelity simulation model of MIT's autonomous X-Cell miniature helicopter, and present an example that highlights the performance improvement over the original framework We demonstrate that, when uncertainties are present, a nominal planning policy generates suboptimal trajectories in both open- and closed-loop guidance, and that trajectories obtained by applying the robust policy are less sensitive to perturbations in the motion primitives

61 citations

Journal ArticleDOI
TL;DR: In this paper, the relationship between various coupled systems that can affect train operation, including interactions between track and train, the pantograph-catenary system, power supply system, and train airflow, with respect to the structure and characteristic of a high-speed railway is studied.
Abstract: This paper studies the relationship between various coupled systems that can affect train operation, including interactions between track and train, the pantograph–catenary system and train, power supply system and train, and airflow and train, with respect to the structure and characteristic of a high-speed railway. With the increasing speed and aggravated dynamic behaviours of trains, the necessity for a study of the system dynamics of high-speed trains, considering all these interactions, is discussed. The overall simulation, optimisation and control are achieved based on the analysis of the dynamics generated by coupled systems in high-speed trains, and a theoretical framework for the dynamics is presented in the paper.

61 citations

Journal ArticleDOI
Konghui Guo1, Dang Lu1, Shih-Ken Chen2, William C. Lin2, Xiao-pei Lu2 
TL;DR: The UniTire model as discussed by the authors is a nonlinear and non-steady-state tyre model for vehicle dynamics simulation and control under complex wheel motion inputs involving large lateral slip, longitudinal slip, turn slip and camber.
Abstract: The UniTire model is a nonlinear and non-steady-state tyre model for vehicle dynamics simulation and control under complex wheel motion inputs involving large lateral slip, longitudinal slip, turn slip and camber. The model is now installed in the driving simulator in the Automobile Dynamic Simulation Laboratory at Jilin University for studying vehicle dynamics and their control systems. Firstly, the nonlinear semiphysical steady-state tyre model, which complies with analytical boundary conditions up to the third order of the simplified physical model, is presented. Special attention has been paid to the expression for the dynamic friction coefficient between the tyre and the road surface and to the modification of the direction of the resultant force under combined-slip conditions. Based on the analytical non-steady-state tyre model, the effective slip ratios and quasi-steady-state concept are introduced to represent the non-steady-state nonlinear dynamic tyre properties in transient and large-slip-ratio...

61 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023167
2022478
2021620
2020811
2019749
2018749