A Control Allocation Strategy for Electric Vehicles with In-wheel Motors and Hydraulic Brake System

2015 ◽  
Author(s):  
Tong Zou ◽  
Lu Xiong ◽  
Pengfei Yang ◽  
Chi Jin
Keyword(s):  
Electric Vehicles ◽  
Brake System ◽  
Control Allocation ◽  
Allocation Strategy ◽  
Hydraulic Brake

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 A Fault Tolerant Vehicle Stability Control Using Adaptive Control Allocation

2018 ◽  
Author(s):  
Ozan Temiz ◽  
Melih Cakmakci ◽  
Yildiray Yildiz
Keyword(s):  
Adaptive Control ◽  
Fault Tolerant ◽  
Stability Control ◽  
Steering Wheel ◽  
Slip Angle ◽  
Control Allocation ◽  
Control Input ◽  
Allocation Strategy ◽  
Virtual Control ◽  
Yaw Stability

This paper presents an integrated fault-tolerant adaptive control allocation strategy for four wheel frive - four wheel steering ground vehicles to increase yaw stability. Conventionally, control of brakes, motors and steering angles are handled separately. In this study, these actuators are controlled simultaneously using an adaptive control allocation strategy. The overall structure consists of two steps: At the first level, virtual control input consisting of the desired traction force, the desired moment correction and the required lateral force correction to maintain driver’s intention are calculated based on the driver’s steering and throttle input and vehicle’s side slip angle. Then, the allocation module determines the traction forces at each wheel, front steering angle correction and rear steering wheel angle, based on the virtual control input. Proposed strategy is validated using a non-linear three degree of freedom reduced two-track vehicle model and results demonstrate that the vehicle can successfully follow the reference motion while protecting yaw stability, even in the cases of device failure and changed road conditions.

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

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.

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