Autonomous Emergency Braking Control Based on Hierarchical Strategy Using Integrated-Electro-Hydraulic Brake System

2017 ◽  
Author(s):  
Xiangkun He ◽  
Xuewu Ji ◽  
Kaiming Yang ◽  
Yulong Liu ◽  
Jian WU ◽  
...  
Keyword(s):  
Brake System ◽  
Emergency Braking ◽  
Hydraulic Brake ◽  
Braking Control

Skid Control of Small Electric Vehicles with In-Wheel Motors (Effect of ABS and Regenerative Brake Timing Control on Emergency Braking)

2015 ◽  
Vol 789-790 ◽  
pp. 927-931
Author(s):  
Mohamad Heerwan bin Peeie ◽  
Hirohiko Ogino ◽  
Yoshio Yamamoto
Keyword(s):  
Electric Vehicles ◽  
Control Method ◽  
Brake System ◽  
Regenerative Braking ◽  
Timing Control ◽  
Safety Device ◽  
Hydraulic Unit ◽  
Emergency Braking ◽  
Hydraulic Brake ◽  
Space Limitation

This paper presents an active safety device for skid control of small electric vehicles with in-wheel motors. Due to the space limitation on the driving tire, a mechanical brake system was installed rather than hydraulic brake system. For the same reason, anti-lock brake system (ABS) that is a basic skid control method cannot be installed on the driving tire. During braking on icy road or emergency braking, the tire will be locked and the vehicle is skidding. To prevent tire lock-up and vehicle from skidding, we proposed the combination of ABS and regenerative brake timing control. The hydraulic unit of ABS is installed on the non-driving tire while the in-wheel motors on the driving tire will be an actuator of ABS to control the regenerative braking force. The performance of the ABS and regenerative brake timing control on the emergency braking situation is measured by the simulation. The simulation result shows that the combination of ABS and regenerative brake timing control can prevent tire lock-up and vehicle from skidding.

scholarly journals Advanced Emergency Braking Controller Design for Pedestrian Protection Oriented Automotive Collision Avoidance System

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Guo Lie ◽  
Ren Zejian ◽  
Ge Pingshu ◽  
Chang Jing
Keyword(s):  
Collision Avoidance ◽  
Controller Design ◽  
Sliding Mode ◽  
Vulnerable Groups ◽  
Control Effect ◽  
Longitudinal Dynamics ◽  
Emergency Braking ◽  
Collision Avoidance System ◽  
Braking Control ◽  
Single Neuron Pid

Automotive collision avoidance system, which aims to enhance the active safety of the vehicle, has become a hot research topic in recent years. However, most of the current systems ignore the active protection of pedestrian and other vulnerable groups in the transportation system. An advanced emergency braking control system is studied by taking into account the pedestrians and the vehicles. Three typical braking scenarios are defined and the safety situations are assessed by comparing the current distance between the host vehicle and the obstacle with the critical braking distance. To reflect the nonlinear time-varying characteristics and control effect of the longitudinal dynamics, the vehicle longitudinal dynamics model is established in CarSim. Then the braking controller with the structure of upper and lower layers is designed based on sliding mode control and the single neuron PID control when confronting deceleration or emergency braking conditions. Cosimulations utilizing CarSim and Simulink are finally carried out on a CarSim intelligent vehicle model to explore the effectiveness of the proposed controller. Results display that the designed controller has a good response in preventing colliding with the front vehicle or pedestrian.

scholarly journals Application of FURIA for Finding the Faults in a Hydraulic Brake System Using a Vibration Analysis through a Machine Learning Approach

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Alamelu Manghai T. M ◽  
Jegadeeshwaran R
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Decision Tree ◽  
Continuous Monitoring ◽  
Selection Process ◽  
Brake System ◽  
Learning Approach ◽  
Vibration Signals ◽  
Hydraulic Brake ◽  
Machine Learning Approach

Vibration-based continuous monitoring system for fault diagnosis of automobile hydraulic brake system is presented in this study. This study uses a machine learning approach for the fault diagnosis study. A hydraulic brake system test rig was fabricated. The vibration signals were acquired from the brake system under different simulated fault conditions using a piezoelectric transducer. The histogram features were extracted from the acquired vibration signals. The feature selection process was carried out using a decision tree. The selected features were classified using fuzzy unordered rule induction algorithm ( FURIA ) and Repeated Incremental Pruning to Produce Error Reduction ( RIPPER ) algorithm. The classification results of both algorithms for fault diagnosis of a hydraulic brake system were presented. Compared to RIPPER and J48 decision tree, the FURIA performs better and produced 98.73 % as the classification accuracy.

Optimization of Magnetorheological Brake

2011 ◽  
Author(s):  
Snegdha Gupta ◽  
Harish Hirani
Keyword(s):  
Minimum Weight ◽  
Hybrid Genetic Algorithm ◽  
Brake System ◽  
Outer Diameter ◽  
Current Accounting ◽  
Hydraulic Brake ◽  
Rate Dependent ◽  
Design Variables ◽  
Braking Torque ◽  
Gradient Based

Quick response and rheological properties as a function of magnetic field are well known features of MR fluids which inspire their usage as brake materials. Controllable torque and minimum weight of brake system are the deciding functions based on which the viability of the MR brake against the conventional hydraulic brake system can be judged. The aim of this study is to optimize a multi-disk magneto-rheological brake system considering torque and weight as objective functions and geometric dimensions of conventional hydraulic brake as constraints. The electric current accounting magnetic saturation, MR gap, number of disk, thickness of disk, and outer diameter of disk have been considered as design variables. To model the behavior of MR Fluid, Bingham and Herschel Bulkley models have been compared. To implement these models in estimating the braking torque a modification in shear rate dependent component has been proposed. The overall design of MR brake has been optimized using a hybrid (Genetic algorithm plus gradient based) optimization scheme of MATLAB software.

Enhancement of Anti-locking Brake System Performance by using Intelligent Control Technique with Different Road Conditions

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
A.S. Emam ◽  
Eid S. Mohamed
Keyword(s):  
Controller Design ◽  
Brake System ◽  
Control Technique ◽  
Vehicle Model ◽  
Braking Performance ◽  
Emergency Braking ◽  
Stopping Distance ◽  
Logic Control ◽  
Longitudinal Slip ◽  
Safety Systems

Recently, the vehicle brake system equipped with anti-lock braking systems (ABS) is considered one of the most important effective safety systems. The importance of ABS, to get maintains the safety of vehicles on roads during emergency braking and it enables reliable stopping whilst maintaining the vehicle stability and ease steer-ability. Therefore, the aim of this research is to investigate the vehicle braking performance of controlled brake ABS that is designed with three types of controller and compares them, they are bang-bang, Proportional Integral Derivative (PID) and Fuzzy Logic Control (FLC) on rough dry and wet roads to control longitudinal slip. The main obstacles of controller design in automobile systems are concerned to high non-linearities of the mathematical model. 2DOF longitudinal quarter vehicle model with taking into account the rational motion of the tire is used to examine the braking performance. The tire-road interface model and braking system model are included in vehicle model. By reviewing the results, it was found that FLC method has an effective and better effect compared to two methods on the performance of brake system equipped with ABS system. It was found that vehicle stopping distance was reduced by 21.77m and 10.3m with dry and wet asphalt roads respectively compared to braking without ABS for fuzzy control at velocity 100 km/hr.

Master cylinder pressure reduction logic for cooperative work between electro-hydraulic brake system and anti-lock braking system based on speed servo system

2020 ◽  
Vol 234 (13) ◽  
pp. 3042-3055
Author(s):  
Lu Xiong ◽  
Wei Han ◽  
Zhuoping Yu ◽  
Jian Lin ◽  
Songyun Xu
Keyword(s):  
Feedback Control ◽  
Closed Loop ◽  
Servo System ◽  
Brake System ◽  
Extreme Condition ◽  
Pressure Reduction ◽  
Cylinder Pressure ◽  
Master Cylinder ◽  
Braking System ◽  
Hydraulic Brake

As one feasible solution of brake-by-wire systems, electro-hydraulic brake system has been made available into production recently. Electro-hydraulic brake system must work cooperatively with the hydraulic control unit of anti-lock braking system. Due to the mechanical configuration involving electric motor + reduction gear, the electro-hydraulic brake system could be stiffer in contrast to a conventional vacuum booster. That is to say, higher pressure peaks and pressure oscillation could occur during an active anti-lock braking system control. Actually, however, electro-hydraulic brake system and anti-lock braking system are produced by different suppliers considering brake systems already in production. Limited signals and operations of anti-lock braking system could be provided to the supplier of electro-hydraulic brake system. In this work, a master cylinder pressure reduction logic is designed based on speed servo system for active pressure modulation of electro-hydraulic brake system under the anti-lock braking system–triggered situation. The pressure reduction logic comprises of model-based friction compensation, feedforward and double closed-loop feedback control. The pressure closed-loop is designed as the outer loop, and the motor rotation speed closed-loop is drawn into the inner loop of feedback control. The effectiveness of the proposed controller is validated by vehicle experiment in typical braking situations. The results show that the controller remains stable against parameter uncertainties in extreme condition such as low temperature and mismatch of friction model. In contrast to the previous methods, the comparison results display the improved dynamic cooperative performance of electro-hydraulic brake system and anti-lock braking system and robustness.

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