吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1886-1893.doi: 10.13229/j.cnki.jdxbgxb201706029

• Orginal Article • Previous Articles     Next Articles

Control strategies of tandem master cylinder pedal stroke simulator

LI Shou-tao1, ZHAO Di1, DING Hui1, HAN Feng1, YU Ding-li2   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.School of Engineering, Liverpool John Moores University, Liverpool L3 3AF, U.K.
  • Received:2016-10-31 Online:2017-11-20 Published:2017-11-20

Abstract: The tandem master cylinder pedal stroke simulator is studied in this work. First, the pedal force transmission ways under normal condition and oil leakage condition of the front and back cavities, and the parameters influencing the pedal feeling are analyzed. Then, the fuzzy adaptive PID control method is adopted to set the influencing parameters online, thus to control the solenoid valve to create a good simulation brake feeling. Finally, the effects of the main parameters of the pedal stroke simulator on the pedal force-stroke relationship are investigated by Matlab-AMESim co-simulation. Results show that the proposed control method enables the brake pedal to meet the design requirements both in normal condition and in oil leakage condition of the front and back cavities.

Key words: vehicle engineering, tandem master cylinder, pedal feel, electro-hydraulic braking system, fuzzy adaptive

CLC Number: 

  • U463
[1] Day A J, Ho H P, Hussain K,et al. Brake system simulation to predict brake pedal feel in a passenger car[C]//Annual Brake Colloquium and Exhibition 27th, Tampa, Florida,USA,2009.
[2] Oshima T,Fujiki N,Nakao S,et al.Development of an electrically driven intelligent brake system[J]. SAE Paper,2011-01-0568.
[3] Kwon Y, Kim J, Cheon J S,et al. Multi-objective optimization and robust design of brake by wire system components[J].SAE Paper,2013-01-2049.
[4] Lee S, Kim S. Characterization and development of the ideal pedal force, pedal travel and response time in the brake system for the translation of the voice of the customer to engineering specification[J]. Journal of Automobile Engineering, 2010,224(11):1433-1450.
[5] Koike Y,Fujiki N, Ito Y, et al. Development of the electrically-driven intelligent brake system for EV/HEV[J]. SAE Paper,2011-01-0399.
[6] 姬芬竹,周晓旭,朱文博. 线控制动系统踏板模拟器与制动感觉评价[J].北京航空航天大学学报, 2015,41(6):989-994.
Ji Fen-zhu, Zhou Xiao-xu, Zhu Wen-bo. Pedal simulator and braking feel evaluation in brake by wire system[J]. Journal of Beijing University of Aeronautics and Astronautics,2015,41(6):989-994.
[7] 金智林,施瑞康,赵又群,等. 联合AMESim/Matlab的汽车制动踏板模拟器动态性能分析[J]. 重庆理工大学学报:自然科学版,2011,25(1):1-4.
Jin Zhi-lin, Shi Rui-kang, Zhao You-qun,et al. Dynamic analysis of vehicle brake pedal emulator based on AMESim/Matlab[J]. Journal of Chongqing University of Technology(Natural Science), 2011,25(1):1-4.
[8] 刘杨,孙泽昌,冀文斌. 电液复合制动系统踏板感觉及其影响因素[J]. 吉林大学学报:工学版,2015,45(4):1049-1055.
Liu Yang, Sun Ze-chang, Ji Wen-bin. Brake pedal feeling and its influencing factors for electro-hydraulic brake system[J]. Journal of Jilin University (Engineering and Technology Edition),2015,45(4):1049-1055.
[9] 宋传学,郑竹安,靳立强,等. 踏板行程模拟器在线控制动系统中的应用[J]. 江苏大学学报:自然科学版,2013,34(1):17-22.
Song Chuan-xue, Zheng Zhu-an, Jin Li-qiang,et al. Application of pedal stroke simulator in brake-by-wire system[J]. Journal of Jiangsu University(Natural Science Edition),2013,34(1):17-22.
[10] 陈家瑞. 汽车构造[M]. 北京:人民交通出版社,2008.
[11] 刘晓. 基于特性的制动系统动态建模与分析[D]. 长春:吉林大学汽车工程学院,2012.
Liu Xiao. Dynamic modeling and analysis of the braking system based on its characteristics[D]. Changchun: College of Automotive Engineering, Jilin University,2012.
[12] GB7258-2012.机动车运行安全技术条件[S].
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