About: Rollover is a(n) research topic. Over the lifetime, 3166 publication(s) have been published within this topic receiving 33077 citation(s).
31 Oct 2005-
Abstract: 1. Introduction.- 2.Lateral Vehicle Dynamics.- 3. Steering Control For Automated Lane Keeping.- 4. Longitudinal Vehicle Dynamics.- 5. Introduction to Longitudinal Control.- 6. Adaptive Cruise Control.- 7. Longitudinal Control for Vehicle Platoons.- 8. Electronic Stability Control.- 9. Mean Value Modeling Of SI and Diesel Engines.- 10. Design and Analysis of Passive Automotive Suspensions.- 11. Active Automotive Suspensions.-12. Semi-Active Suspensions.- 13. Lateral and Longitudinal Tires Forces.- 14. Tire-Road Friction Measurement on Highway Vehicles.- 15. Roll Dynamics and Rollover Prevention.- 16. Dynamics and Control of Hybrid Gas Electric Vehicles.
19 Feb 2002-
Abstract: Wireless sensing and communication system including sensors located on the vehicle or in the vicinity of the vehicle and which provide information which is transmitted to one or more interrogators in the vehicle using wireless radio frequency transmission technology. Power to operate the sensor may be supplied by the interrogator. The sensors include tire pressure, temperature and acceleration monitoring sensors, weight or load measuring sensors, switches, temperature, acceleration, angular position, angular rate, angular acceleration, proximity, rollover, occupant presence, humidity, presence of fluids or gases, strain, road condition and friction, chemical sensors and other similar sensors providing information to a vehicle system, vehicle operator or external site. The sensors provide information about the vehicle and its interior or exterior environment, about individual components, systems, vehicle occupants, subsystems, or about the roadway, ambient atmosphere, travel conditions and external objects.
01 Nov 2001-Vehicle System Dynamics
Abstract: An anti-rollover control algorithm based on the Time-To-Rollover (TTR) metric is proposed in this paper. A simple model with steering and direct yaw moment control inputs was constructed to calculate the TTR in real-time. The TruckSim dynamic simulation software was used to verify the control performance, as well as to simulate the system dynamics in the UM-Oakland driving simulator. Both the simple and complex (TruckSim) models were tuned to match the behavior of a 1997 Jeep Cherokee vehicle with lateral acceleration up to 0.6 g. The performance of the proposed control system was compared with other threshold-based rollover-prevention control algorithms. Finally, a human-in-the-loop experiment was conducted to study the performance of the proposed algorithm under more realistic driving conditions.
TL;DR: A real-time algorithm for estimation of slip angle using inexpensive sensors normally available for yaw stability control applications that compensates for the presence of road bank angle and variations in tire-road characteristics is developed.
Abstract: Real-time knowledge of the slip angle in a vehicle is useful in many active vehicle safety applications, including yaw stability control, rollover prevention, and lane departure avoidance. Sensors to measure slip angle, including two-antenna GPS systems and optical sensors, are too expensive for ordinary automotive applications. This paper develops a real-time algorithm for estimation of slip angle using inexpensive sensors normally available for yaw stability control applications. The algorithm utilizes a combination of model-based estimation and kinematics-based estimation. Compared with previously published results on slip angle estimation, this present paper compensates for the presence of road bank angle and variations in tire-road characteristics. The developed algorithm is evaluated through experimental tests on a Volvo XC90 sport utility vehicle. Detailed experimental results show that the developed system can reliably estimate slip angle for a variety of test maneuvers.
08 Dec 1997-
Abstract: A system uses multiple tilt sensors mounted to the vehicle frame and the vehicle suspension system to detect lateral acceleration and lateral load transfer. The system uses these measurements to determine a lateral load transfer ratio indicative of an actual roll moment compared to a maximum roll moment. The measurements from the tilt sensors are also used to calculate an effective center of gravity height. A display coupled to the system provides the vehicle operator with a read out of the load transfer ratio and effective center of gravity height. The display enables the vehicle operator to more completely understand the nature of the vehicle load and thereby allow the vehicle operator to avoid conditions likely to lead to a vehicle rollover accident.