Vehicle Stability Control in Anti-Lock Braking System on Split-U Road Surface Considering Driver in the Loop

2013 ◽  
Author(s):  
Liangyao Yu ◽  
Changxi You ◽  
Jian Song
Keyword(s):  
Driver Behavior ◽  
Research Work ◽  
Stability Control ◽  
Road Surface ◽  
Control Law ◽  
Vehicle Stability ◽  
Braking System ◽  
Vehicle Stability Control ◽  
Vehicle Velocity ◽  
The Stability

With the introduction and development of Anti-lock Braking System in modern vehicles, remarkable progress in brake efficiency and brake stability has been achieved. However, it is a significant challenge to deal with the control law in certain critical situations, especially on split-μ road surface. In low vehicle velocity, as some standards and regulations specified, the stability in such situation is comparably easy to be achieved. But with the vehicle velocity increasing, the driver behavior contributes a large impact on the trajectory maintenance and easily causes sympathetic vibration of the vehicle because of the unexpected synchronization between the driver input and control law output, which could be very dangerous. This paper presents the research work in vehicle stability control when Anti-lock Braking System is activated at split-μ road surface. The principal contribution of this work is that the driver behavior is taken into account and the control law is tuned to adapt to this situation, which effectively maintains the stability of the vehicle without compromising the brake efficiency.

scholarly journals Simulation analysis of efficiency and stability for vehicle’s ABS control on combined steering and braking maneuvers

2019 ◽  
Vol 272 ◽  
pp. 01024 ◽  
Author(s):  
Feng YU ◽  
Jun XIE
Keyword(s):  
High Speed ◽  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Simulation Analysis ◽  
Stability Control ◽  
Vehicle Stability ◽  
Slip Ratio ◽  
Braking Performance ◽  
Braking System ◽  
The Stability

Eight degrees of freedom vehicle model was established. Using the method of fuzzy control, the ABS control algorithm was designed based on slip ratio. Simulation analysis was done at speed of 15m/s, 20m/s, 25m/s under turning braking. The results show that the vehicle braking performance and vehicle stability at middle or low speed was improved by using the ABS controller, but qualitative analysis shows that phenomenon of vehicle instability was appeared at high-speed conditions. The turning braking stability under ABS controller was judged quantificationally by the stability judging formula. The results show that the requirements of stability control could not meet with only Anti-lock Braking System.

scholarly journals Vehicle Stability Control Strategy Based on Recognition of Driver Turning Intention for Dual-Motor Drive Electric Vehicle

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Shu Wang ◽  
Xuan Zhao ◽  
Qiang Yu
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Stability Control ◽  
Motor Drive ◽  
Vehicle Stability ◽  
Lane Change ◽  
Vehicle Stability Control ◽  
Stability Control System ◽  
The Stability

Vehicle stability control should accurately interpret the driving intention and ensure that the actual state of the vehicle is as consistent as possible with the desired state. This paper proposes a vehicle stability control strategy, which is based on recognition of the driver’s turning intention, for a dual-motor drive electric vehicle. A hybrid model consisting of Gaussian mixture hidden Markov (GHMM) and Generalized Growing and Pruning RBF (GGAP-RBF) neural network is constructed to recognize the driver turning intention in real time. The turning urgency coefficient, which is computed on the basis of the recognition results, is used to establish a modified reference model for vehicle stability control. Then, the upper controller of the vehicle stability control system is constructed using the linear model predictive control theory. The minimum of the quadratic sum of the working load rate of the vehicle tire is taken as the optimization objective. The tire-road adhesion condition, performance of the motor and braking system, and state of the motor are taken as constraints. In addition, a lower controller is established for the vehicle stability control system, with the task of optimizing the allocation of additional yaw moment. Finally, vehicle tests were carried out by conducting double-lane change and single-lane change experiments on a platform for dual-motor drive electric vehicles by using the virtual controller of the A&D5435 hardware. The results show that the stability control system functions appropriately using this control strategy and effectively improves the stability of the vehicle.

Stability Control for Tire Blowout Vehicle Based on Brake by Wire System Considering Driver Operation

2014 ◽  
Author(s):  
Liangyao Yu ◽  
Zhizhong Wang ◽  
Ning Pan ◽  
Lei Zhang ◽  
Jian Song
Keyword(s):  
Control Strategies ◽  
Driver Behavior ◽  
Research Work ◽  
Stability Control ◽  
Stability Performance ◽  
Emergent Scenario ◽  
Brake Force ◽  
Safe Control ◽  
The Stability ◽  
Fail Safe

Tire blowout is one of the most dangerous tire malfunctions which could result in severe property damage, personal injury, even loss of life. In the existing literatures, active tire blowout fail-safe control strategies based on rules or optimal control have been proposed. However, little attention has been put on driver behavior, which plays an important role in the stability performance control when tire blowout is experienced. Because of the uncertainties of failure mode and failure level, most of existing active control strategies are not easy to be implemented. This paper presents the research work on stability control for tire blowout vehicle, considering the driver behavior at the emergent scenario. The Electro Hydraulic Brake (EHB) based Brake by Wire (BBW) system is used as the brake system, which can regulate the wheel brake force individually and accurately. The simulation results show that stability and brake efficiency can be achieved in tire blowout fail-safe control by combining the driver operation model and BBW.

Structure Analysis and Pressure Control of Electro-Hydraulic Braking System

2013 ◽  
Vol 760-762 ◽  
pp. 1288-1292 ◽  
Author(s):  
Dong Mei Wu ◽  
Hai Tao Ding ◽  
Kong Hui Guo ◽  
Yang Li ◽  
Hu Zhang
Keyword(s):  
Electric Vehicles ◽  
Pid Control ◽  
Control Method ◽  
Pressure Control ◽  
Stability Control ◽  
Structure Design ◽  
Vehicle Stability ◽  
Braking System ◽  
Vehicle Stability Control ◽  
Braking Energy Recovery

The structure design and pressure control of electro-hydraulic braking system (EHB) is essential for electric vehicles, which is critical to the braking energy recovery and vehicle stability control. In this paper, the overall structure of the electro-hydraulic braking system is analyzed, and classification method according to how the braking pedal is decoupled with the braking pressure is proposed. Through the PID control method to achieve pressure following control, it lays the foundation for electric vehicle stability control.

An Analytical Transient Tire Model

2001 ◽  
Vol 29 (2) ◽  
pp. 108-132 ◽  
Author(s):  
A. Ghazi Zadeh ◽  
A. Fahim
Keyword(s):  
Transient Behavior ◽  
Stability Control ◽  
Vehicle Stability ◽  
Tire Model ◽  
Steering Angle ◽  
First Order ◽  
Vehicle Stability Control ◽  
Proposed Model ◽  
Depth Study ◽  
And Performance

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.

Vehicle Stability Control Through Predictive and Optimal Tire Saturation Management

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.

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

2013 ◽  
Vol 658 ◽  
pp. 602-608 ◽  
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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