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.

Analysis of Effect on Change Rate of Wheel Cylinder Pressure for Electro-Hydraulic Brake System of Electric Vehicle

2012 ◽  
Vol 209-211 ◽  
pp. 2094-2099
Author(s):  
Xiu Yuan Xing ◽  
Ze Chang Sun ◽  
Meng Wang
Keyword(s):  
Electric Vehicle ◽  
Pressure Change ◽  
Brake System ◽  
Impact Factors ◽  
Cylinder Pressure ◽  
Change Rate ◽  
Hydraulic Brake ◽  
Brake Pressure ◽  
New Type ◽  
The Impact

Based on a new type of electro-hydraulic brake system of electric vehicle, the operating principle was studied. A model of hydraulic brake system and corresponding control strategy were built with the co-simulation platform of AMESim and MATLAB. The impact factors of brake pressure change rate were analyzed theoretically. The influences of the main hydraulic parameters were analyzed through simulation, such as volume of brake fluid, type of pipe, ABS valve and brake clearance. The results provide a theoretical basis for the accurate control of wheel cylinder pressure.

Vibration based Fault Diagnosis of Automobile Hydraulic Brake System using Fuzzy Logic with Best First Tree Rules

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
M.N. Gajre ◽  
R. Jegadeeshwaran ◽  
V. Sugumaran ◽  
A. Talbar
Keyword(s):  
Fuzzy Logic ◽  
Feature Extraction ◽  
Fault Diagnosis ◽  
Vibration Signal ◽  
Brake System ◽  
Learning Approach ◽  
Fuzzy Classifier ◽  
Braking System ◽  
Hydraulic Brake ◽  
Machine Learning Approach

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.

Modeling and Simulation of Vehicle Hydraulic ABS Based on AMEsim

2012 ◽  
Vol 590 ◽  
pp. 441-445
Author(s):  
Qian Zhao ◽  
Jia Jun Duan ◽  
Cheng Wang
Keyword(s):  
Hydraulic System ◽  
System Modeling ◽  
Brake System ◽  
Relevant Parameter ◽  
Work Process ◽  
Braking System ◽  
Hydraulic Brake ◽  
Working Principle ◽  
Brake Performance ◽  
Hydraulic System Modeling

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.

scholarly journals Fault Detection and Isolation for Brake Rotor Thickness Variation

2020 ◽  
Vol 12 (1) ◽  
pp. 8
Author(s):  
Xinyu Du ◽  
Lichao Mai ◽  
Hamed Kazemi ◽  
Hossein Sadjadi
Keyword(s):  
Fault Detection ◽  
Wheel Speed ◽  
Fault Detection And Isolation ◽  
Thickness Variation ◽  
Cylinder Pressure ◽  
Master Cylinder ◽  
Braking System ◽  
Brake Rotor ◽  
The Difference ◽  
Brake Rotors

Brake rotors are critical parts of the disc braking system for modern vehicles. One common failure for brake rotors is the thickness variation, which may result in unpleasant brake pulsation, vehicle vibration during braking, or eventually lead to the malfunction of the braking system. In order to improve customer satisfaction, vehicle serviceability and availability, it is necessary to develop an onboard fault detection and isolation solution. In our previous work, the vibration features of master cylinder pressure, vehicle longitudinal acceleration and wheel speed were identified as fault signatures. Based on these fault signatures, a vibration- based fault detection and isolation algorithm is developed in this work. The difference of frequency response between the braking period and the normal driving period (non-braking) is employed to improve the algorithm robustness. The experiment results demonstrate the proposed algorithm can robustly diagnose the thickness variation fault and isolate the fault to each vehicle corner.

Analytical Target Cascading Method on Braking System Characteristics Optimization

2013 ◽  
Vol 307 ◽  
pp. 9-13
Author(s):  
Hsin Guan ◽  
Wei Tuo Hao ◽  
Jun Zhan ◽  
Xin Li
Keyword(s):  
Optimization Methods ◽  
Brake System ◽  
Analytical Target Cascading ◽  
Optimal Method ◽  
Master Cylinder ◽  
Braking System ◽  
Target Cascading ◽  
High Degree ◽  
System Characteristics

Because of the Limitations and shortcomings of the traditional multi-disciplinary optimization methods, this paper presents a useful optimal method named Analytical Target Cascading (ATC) for braking system characteristics optimization. The deceleration and pedal sense are chosen as the design targets. Brake system is divided into 4 subsystems: pedal, vacuum booster, master cylinder, brake. The optimization results show that ATC has a high degree of accuracy.

Spark Ignition Feedback Control by Means of Combustion Phase Indicators on Steady and Transient Operation

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Pipitone Emiliano
Keyword(s):  
Feedback Control ◽  
Closed Loop ◽  
Spark Ignition ◽  
Engine Control ◽  
Cylinder Pressure ◽  
Timing Control ◽  
Spark Timing ◽  
Combustion Phase ◽  
Si Engines ◽  
And Control

In order to reduce fuel cost and CO2 emissions, modern spark ignition (SI) engines need to lower as much as possible fuel consumption. A crucial factor for efficiency improvement is represented by the combustion phase, which in an SI engine is controlled acting on the spark advance. This fundamental engine parameter is currently controlled in an open-loop by means of maps stored in the electronic control unit (ECU) memory: such kind of control, however, does not allow running the engine always at its best performance, since optimal combustion phase depends on many variables, like ambient conditions, fuel quality, engine aging, and wear, etc. A better choice would be represented by a closed-loop spark timing control, which may be pursued by means of combustion phase indicators, i.e., parameters mostly derived from in-cylinder pressure analysis that assume fixed reference values when the combustion phase is optimal. As documented in literature (Pestana, 1989, “Engine Control Methods Using Combustion Pressure Feedback,” SAE Paper No. 890758; BERU Pressure Sensor Glow Plug (PSG) for Diesel Engines, http://beru.federalmogul.com; Sensata CPOS SERIES—Cylinder Pressure Only Sensors, http://www.sensata.com/download/cpos.pdf; Malaczynski et al., 2013, “Ion-Sense-Based Real-Time Combustion Sensing for Closed-Loop Engine Control,” SAE Int. J. Eng., 6(1), pp. 267–277; Yoshihisa et al., 1988, “MBT Control Through Individual Cylinder Pressure Detection,” SAE Paper 881779; Powell, 1993, “Engine Control Using Cylinder Pressure: Past, Present, and Future,” J. Dyn. Syst., Meas. Control, 115, pp. 343–350; Muller et al., 2000, “Combustion Pressure Based Engine Management System,” SAE Paper 2000-01-0928; Yoon et al., 2000, “Closed-Loop Control of Spark Advance and Air-Fuel Ratio in SI Engines Using Cylinder Pressure,” SAE Paper 2000-01-0933; Eriksson, 1999, “Spark Advance Modeling and Control,” Dissertation N° 580, Linkoping Studies in Science and Technology, Linköping, Sweden; Samir et al., 2011, “Neural Networks and Fuzzy Logic-Based Spark Advance Control of SI Engines,” Expert Syst. Appl., 38, pp. 6916–6925; Cook et al., 1947, “Spark-Timing Control Based on Correlation of Maximum-Economy Spark Timing, Flame-Front Travel, and Cylinder Pressure Rise,” NACA Technical Note 1217; Bargende, 1995, “Most Optimal Location of 50% Mass Fraction Burned and Automatic Knock Detection,” MTZ, 10(56), pp. 632–638.), the use of combustion phase indicators allows the determination of the best spark advance, apart from any variable or boundary condition. The implementation of a feedback spark timing control, based on the use of these combustion phase indicators, would ensure the minimum fuel consumption in every possible condition. Despite the presence of many literature references on the use combustion phase indicators, there is no evidence of any experimental comparison on the performance obtainable, in terms of both control accuracy and transient response, by the use of such indicators in a spark timing feedback control. The author, hence, carried out a proper experimental campaign comparing the performances of a proportional-integral spark timing control based on the use of five different in-cylinder pressure derived indicators. The experiments were carried out on a bench test, equipped with a series production four cylinder spark ignition engine and an eddy current dynamometer, using two data acquisition (DAQ) systems for data acquisition and spark timing control. Pressure sampling was performed by means of a flush mounted piezoelectric pressure transducer with the resolution of one crank angle degree. The feedback control was compared to the conventional map based control in terms of response time, control stability, and control accuracy in three different kinds of tests: steady-state, step response, and transient operation. All the combustion phase indicators proved to be suitable for proportional-integral feedback spark advance control, allowing fast and reliable control even in transient operations.

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
Keyword(s):  
Modeling And Simulation ◽  
Simulation Study ◽  
System Modeling ◽  
Simulation Software ◽  
Control Mode ◽  
Brake System ◽  
Practical Significance ◽  
Braking System ◽  
Hydraulic Brake ◽  
And Control

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.

Megawatt Wind Turbine Hydraulic Brake System Locking Device Modeling and Research Based on AMESim

2014 ◽  
Vol 988 ◽  
pp. 621-624 ◽  
Author(s):  
Hong Fu Tian ◽  
Li Wen Yan ◽  
Cun Jin Ai ◽  
Hui Xie
Keyword(s):  
Wind Turbine ◽  
Brake System ◽  
Device Modeling ◽  
Normal Case ◽  
Braking System ◽  
Hydraulic Brake

As a megawatt-class wind turbine braking system, in addition to brake, it should also be in place with a wind wheel locking device to ensure that the failure of the braking system in the normal case fan will not burst start again.To solve the problem the article has designed a hydraulic locking device, and USES the AMESim software on the research and analysis.

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