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The vehicle sideslip angle is one of the most important variables to evaluate vehicle stability during dynamic maneuvers. The vehicle dynamic represented by the single track vehicle model with linear tire is firstly introduced, a novel method of virtual sensor based on extended Kalman filter for the estimation of vehicle sideslip angle is proposed. Results of simulation using CarSim and co-simulation...
An experiment platform which aims to study the integration control of steering and braking is designed due to the research requirement of vehicle active safety control strategy. A test vehicle which is equipped with the systems of steer-by-wire and brake-by-wire is provided and the Autobox, combined with Matlab/simulink and MSCCarsim,is used to fulfill the RCP(Rapid Control Prototyping) and HIL(Hardware-in-loop)...
A vehicle localization system can be extremely useful for intelligent transformation systems (ITS) such as advanced driver assistance systems (ADASs), emergency vehicle notification systems, and collision avoidance systems. To optimize the performance of vehicle localization systems, localization algorithms that analyze multi-sensor data processed using a Kalman filter have been developed. However,...
The motion of a vehicle is governed by the forces generated between the tires and the road. Knowledge of these dynamic variables is important for vehicle control systems that aim to enhance vehicle stability and passenger safety. Unfortunately, it is difficult to obtain these data because of technical and economic reasons, therefore, they must be estimated. This study introduces a new estimation process...
To achieve the vehicle speed information and tire-road adhesion property is very important to the vehicle active safety control system. And how to utilize the sensors in vehicle to educe the needed information for these systems while ensuring the accuracy and real-time performance has great significance. In this paper, the state estimation theory of information fusion technology is applied to estimate...
Dynamic model based vehicle state variables observer is a step towards economical on-board sensing system. However a complex model always leads to a control system with a poor real-time performance, while a simple model cannot exhibit real characteristics of a vehicle. In order to make an accurate and sententious estimate for yaw rate and side slip angle, an ameliorated 2-DOF bicycle model containing...
To develop an effective vehicle control system, it is needed to estimate vehicle motions accurately, and the estimation of reliable road frictions is one of the most important steps to achieve this goal. In the absence of commercially available transducers to measure the friction coefficient directly, various types of estimation methods have been investigated in the past. Most models in the literature...
Driving safety enhancement could be achieved by better understanding of risk situations from the knowledge of vehicle dynamic states as well as road geometry. Among the parameters of the road that have an impact on vehicle dynamics, one can find the bank and the slope angles, which can not however be measured by mean of low cost onboard sensors. This work of this paper is aimed to improve the controllability...
High quality estimation of road/tire friction coefficient has important role in vehicle control system like anti-lock braking system (ABS), traction control system etc. For this purpose the paper researches on the road/tire friction coefficient estimation algorithm based on the extended Kalman filter theory. At the same time, a simulation verification of the road/tire coefficient estimation has been...
The state variables and parameters about the movement of vehicle is needed for the vehicle stability control (VSC) system, such as tyre force estimation. The tyre force is estimated by using sliding mode observer and the adhesion limit condition is considered in this paper. Comparison of simulation results between extended Kalman filter and sliding mode observer are done.The simulation results show...
Transversal tire forces and sideslip angle are essential data for improving vehicle safety, handling, steerability, comfort and performance. This paper proposes and compares four observers designed to calculate vehicle sideslip angle and lateral tire forces. The different observers are derived from the extended Kalman filter (EKF), the single-track model, and use different on tire-force models. The...
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