Active yaw control for handling performance improvement by using traction force

Abstract

This paper presents the vehicle handling performance improvement by means of transfer case and torque vectoring system. The focus is on the agility and stability during handling situation. Transfer case can control the torque distribution ratio between the front and rear axles. The left and right torque vectoring system of the rear axle is a device that can control both the torque flow amount and its direction between the right and left wheels. The controller for lateral dynamics was applied by using a sliding mode control method and a commercial dynamic analysis tool was used for the vehicle performance simulation.

Integrated model predictive and torque vectoring control for path tracking of 4‐wheel‐driven autonomous vehicles

“…The yaw rate controller ensures the vehicle keeps the balance between the mobility and stability. The target of motility mode is to get a quick handling response to prevent the vehicle side slip and the purpose of the stability mode is to prevent the vehicle from being in an unstable status [27].…”

Calculation Algorithm of Tire‐Road Friction Coefficient Based on Limited‐Memory Adaptive Extended Kalman Filter

“…Therefore, using low-cost on-board sensors to measure vehicle state parameters, and then estimating the state of vehicle dynamics based on the vehicle dynamics equation, and then real-time estimation of pavement information has become a research focus [4,5]. Domestic and foreign scholars have made a large amount of studies on tire-road friction coefficient estimation based on -s curve [6][7][8][9][10][11]. However, a large amount of data is required for data fitting because this method has problems of slow response time, weak timeliness, and heavy dependence of identification correctness on model accuracy.…”

A neurofuzzy controller for active front steering system of vehicle under road friction uncertainties

“…Several studies have been conducted to control the yaw rate and stability of vehicles by using a simple controller; a fuzzy logic controller was proposed to improve the yaw rate and enhance the stability of a vehicle that uses 4WD steering system (Krishna et al, 2014). Kim et.al (2015) proposed a controller to improve handling performance of the vehicles by using transfer case and torque vectoring system. A fuzzy logic controller was designed to control the yaw rate and side slip angle of vehicles (Li et al, 2010).…”