Electronic Hydraulic Brake System Modeling and Simulation

2013 ◽  
Vol 850-851 ◽  
pp. 701-704
Author(s):  
You Yao ◽  
Xue Xun Guo ◽  
Ming Peng ◽  
Ji Bing Zhang ◽  
Jie Zhang

This paper introduces the structure, principle and control mode of the electronic hydraulic brake system, and using simulation software AMESim to carry on the modeling and simulation study. Through the simulation of the WBS brake system, and comparison between the theory and the test, the WBS model is introduced and analyzed, which has great theoretical and practical significance to the future braking system.

2012 ◽  
Vol 590 ◽  
pp. 441-445
Author(s):  
Qian Zhao ◽  
Jia Jun Duan ◽  
Cheng Wang

At present, the ABS braking system has been widely used in vehicle brake system, has become the important mechanism of automobile brake performance. This paper use the advantage of AMESim software for hydraulic system modeling, and build up the the model of ABS for the automobile brake system according to ABS system working principle, Simulation of automobile ABS hydraulic brake system work process, through the relevant parameter settings, compare and analysis the impacts made by some elements of the whole ABS system, finally make the foundations for the brake system for further optimization and improvement.


Author(s):  
Lu Xiong ◽  
Wei Han ◽  
Zhuoping Yu ◽  
Jian Lin ◽  
Songyun Xu

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.


Author(s):  
Tohid Sardarmehni ◽  
Ali Heydari

Approximate dynamic programming, also known as reinforcement learning, is applied for optimal control of Antilock Brake Systems (ABS) in ground vehicles. As an accurate and control oriented model of the brake system, quarter vehicle model with hydraulic brake system is selected. Due to the switching nature of hydraulic brake system of ABS, an optimal switching solution is generated through minimizing a performance index that penalizes the braking distance and forces the vehicle velocity to go to zero, while preventing wheel lock-ups. Towards this objective, a value iteration algorithm is selected for ‘learning’ the infinite horizon solution. Artificial neural networks, as powerful function approximators, are utilized for approximating the value function. The training is conducted offline using least squares. Once trained, the converged neural network is used for determining optimal decisions for the actuators on the fly. Numerical simulations show that this approach is very promising while having low real-time computational burden, hence, outperforms many existing solutions in the literature.


Author(s):  
M.N. Gajre ◽  
R. Jegadeeshwaran ◽  
V. Sugumaran ◽  
A. Talbar

Brakes are indispensable element of automobile. It takes significant factor to slow down or stop vehicle at an instant which will help to prevent an incident or accident in panic scenario. In appropriate braking or breakdown in braking system may direct devastating effect on automobile as well as traveller safety. To enhance potential of braking system condition monitoring is drastic demand in automotive field. This research predominantly concentrates towards fault diagnosis of a hydraulic brake system with the principle of vibration signal. Feature extraction, feature selection and feature classification are the key measures under machine learning approach. Feature extraction can certainly accomplished by acquiring vibration from the system. Statistical features were for the fault diagnosis of hydraulic brake system. Best first tree algorithm will pick most effective features that will differentiate the fault conditions of the brake through given train samples. Fuzzy logic was selected as a classifier. In the present study, fuzzy classifier with the best first tree rules was used to perform the classification accuracy.


2019 ◽  
Vol 94 ◽  
pp. 01009
Author(s):  
Jae Hoon Son ◽  
Heyone Kim ◽  
Sang Heon Oh ◽  
Hyoungmin So ◽  
Dong-Hwan Hwang

A multi-thread based navigation algorithm module is designed in a multi radio integrated navigation system modeling and simulation software in order to efficiently use resources in the software platform of the modeling and simulation software. By adopting the multi-thread architecture, features of navigation algorithms and concurrency of the algorisms can be easily included in the navigation algorithm module. In order to show the usefulness of the multi thread based navigation algorithm module design, a navigation algorithm module in the multi-radio integrated navigation system for GPS, KNSS, Loran-C, eLoran and DME/VOR is implemented in C++ under the Windows operating system. The implementation results show that the thread based design can be useful in the development of multi radio integrated navigation systems.


2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Wanjian Jiang

This paper is about Simulink QAM modulation and demodulation implementation. Firstly, the basic principle of QAM modulation and demodulation system is introduced. Then, the basic operation of system modeling and simulation under simulation software Simulink is introduced. The emphasis is on modeling and simulation of 16QAM system modules, and 16QAM modulation and demodulation are realized. Finally, a 2DPSK system simulation is carried out to compare it with the 16QAM system. It is concluded that 16QAM is a relatively superior modulation and demodulation system.


1999 ◽  
Vol 121 (3) ◽  
pp. 496-503 ◽  
Author(s):  
J. Christian Gerdes ◽  
J. Karl Hedrick

This paper presents reduced-order models of brake system dynamics derived from a physical modeling perspective. The vacuum booster model combines a static control valve with dynamic air flows, resulting in the ability to easily reproduce both static hysteresis effects and rapid transients. Following the assumption of incompressible flow, a four-state model of the brake hydraulics is presented and, subsequently, reduced to one or two states for certain applications. Experimental results support the simplifying assumptions made during the modeling process by demonstrating better agreement with the response from pedal force to brake pressure than previously displayed in the literature. These models are intended for use in the design and analysis of vehicle control systems and the evaluation of driver/vehicle interactions through dynamic simulation.


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