Adaptive state estimation based on particle filter algorithm for vehicle stability control

Abstract The dynamics of a vehicle's tires is a major contributor to the vehicle stability, control, and performance. A better understanding of the handling performance and lateral stability of the vehicle can be achieved by an in-depth study of the transient behavior of the tire. In this article, the transient response of the tire to a steering angle input is examined and an analytical second order tire model is proposed. This model provides a means for a better understanding of the transient behavior of the tire. The proposed model is also applied to a vehicle model and its performance is compared with a first order tire model.

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Vehicle Stability Control Through Predictive and Optimal Tire Saturation Management

Volume 6: 1st Biennial International Conference on Dynamics for Design; 14th International Conference on Advanced Vehicle Technologies ◽

10.1115/detc2012-71182 ◽

2012 ◽

Author(s):

Justin Sill ◽

Beshah Ayalew

Keyword(s):

Stability Control ◽

Vehicle Stability ◽

Distribution Problem ◽

Scale Separation ◽

Torque Distribution ◽

Hydraulic Hybrid ◽

Time Scale Separation ◽

Vehicle Stability Control ◽

Natural Time ◽

Set Up

This paper presents a predictive vehicle stability control (VSC) strategy that distributes the drive/braking torques to each wheel of the vehicle based on the optimal exploitation of the available traction capability for each tire. To this end, tire saturation levels are defined as the deficiency of a tire to generate a force that linearly increases with the relevant slip quantities. These saturation levels are then used to set up an optimization objective for a torque distribution problem within a novel cascade control structure that exploits the natural time scale separation of the slower lateral handling dynamics of the vehicle from the relatively faster rotational dynamics of the wheel/tire. The envisaged application of the proposed vehicle stability strategy is for vehicles with advanced and emerging pure electric, hybrid electric or hydraulic hybrid power trains featuring independent wheel drives. The developed predictive control strategy is evaluated for, a two-axle truck featuring such an independent drive system and subjected to a transient handling maneuver.

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A top-down integration approach to vehicle stability control

2007 IEEE International Conference on Vehicular Electronics and Safety ◽

10.1109/icves.2007.4456383 ◽

2007 ◽

Author(s):

Daofei Li ◽

Bin Li ◽

Fan Yu ◽

Shangqian Du ◽

Yongchao Zhang

Keyword(s):

Stability Control ◽

Vehicle Stability ◽

Top Down ◽

Integration Approach ◽

Vehicle Stability Control

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Mixed H∞/H2 Output Feedback Stability Control for Dual-Motor Independent Drive Electric Vehicle

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.658.602 ◽

2013 ◽

Vol 658 ◽

pp. 602-608 ◽

Cited By ~ 1

Author(s):

Cheng Lin ◽

Chun Lei Peng

Keyword(s):

Electric Vehicle ◽

Output Feedback ◽

Stability Control ◽

Vehicle Stability ◽

Robust Performance ◽

Output Feedback Controller ◽

Vehicle Stability Control ◽

Feedback Stability ◽

Simulation Results ◽

Yaw Moment

This paper presents the design of mixed H∞/H2Output Feedback Controller for Independent Drive Electric Vehicle Stability Control. It generates yaw moment by applying driving intervention at front Independent driving wheels according to the vehicle states. The performance of the proposed controller is evaluated through a series of simulations under different velocity and different mass. The simulation results show that the controller can help vehicle against a certain range of uncertainty (speeds and loads) and get excellent robust performance.

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