Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (2): 406-413.doi: 10.13229/j.cnki.jdxbgxb20191003

Previous Articles    

Electronic hydraulic brake power system control strategy based on driver intention recognition

Wei-da WANG1,2(),Yan-jie WU1,2,Jia-lei SHI3,Liang LI3,4   

  1. 1.School of Mechanical Engineering，Beijing Institute of Technology，Beijing 100081，China
    2.National Key Lab of Vehicular Transmission，Beijing Institute of Technology，Beijing 100081，China
    3.National Key Laboratory of Automotive Safety and Energy，Tsinghua University，Beijing 100084，China
    4.School of Vehicle and Mobile，Tsinghua University，Beijing 100084，China
  • Received:2019-11-02 Online:2021-03-01 Published:2021-02-09

RICH HTML

 18   

PDF (PC)

234

Abstract:

In order to give the driver better braking experience on the basis of ensuring safety， the driver’s braking intention is identified according to the pressure of the brake master cylinder and the rate of pressure change. First， the braking intention is divided into conventional deceleration and emergency braking. Then， two control strategies， current closed-loop control and active pressure control， are designed respectively. The two control strategies were verified by real car experiments. The experimental results show that： under active pressure control mode， the brake master cylinder pressure can quickly follow the target pressure. In the current closed-loop control mode， the booster current can follow the target current well. Compared with the ordinary control strategy， the control strategies designed in this paper can complete the process of building the brake master cylinder faster.

Key words: vehicle engineering, electronic hydraulic braking, driver intention recognition, emergency braking

CLC Number: 

  • U463.52

Fig.1

EHB power system structure diagram"

Fig.2

Control strategy realization based on driver's braking intention identification"

Fig.3

Brake master cylinder pressure membership function"

Fig.4

Output membership function curve"

Table 1

driver's intention identification fuzzy rule table"

dPbPb
SML
SCBCBCB
MCBCBCB
LCBEBEB

Fig.5

Fuzzy inference MAP"

Fig.6

EHB power system control flow chart"

Fig.7

Assisted current curve design"

Fig.8

Electronic emergency brake controller"

Fig.9

Fuzzy PI controller"

Fig.10

Distributed drive experimental vehicle"

Fig.11

Pressure control mode step input curve"

Fig.12

Power current control curve"

Fig.13

Experimental curve of EHB control strategy based on driver intention recognition"

Fig.14

General booster current control test curve"

1 余卓平, 韩伟, 徐松云, 等. 电子液压制动系统液压力控制发展现状综述[J]. 机械工程学报, 2017, 53(14): 1-15.
Yu Zhuo-ping, Han Wei, Xu Song-yun, et al. A review of the development of hydraulic pressure control in electronic hydraulic braking system[J]. Chinese Journal of Mechanical Engineering, 2017, 53(14): 1-15.
2 刘立国. EHB系统与整车匹配方法研究[D]. 长春: 吉林大学汽车工程学院, 2011.
Liu Li-guo. Study on matching method between EHB system and vehicle[D]. Changchun: College of Automotive Engineering, Jilin University, 2011.
3 潜磊. 电动助力制动系统研究[D]. 长春: 吉林大学汽车工程学院, 2017.
Qian Lei. Research on electric power assisted braking system[D]. Changchun: College of Automotive Engineering, Jilin University, 2017.
4 陈志成, 吴坚, 赵健, 等. 混合线控制动系统制动力精确调节控制策略[J]. 汽车工程, 2018, 40(4): 457-464.
Chen Zhi-cheng, Wu Jian, Zhao Jian, et al. Control strategy of precise control of braking force of hybrid line control system[J]. Automotive Engineering, 2018, 40(4): 457-464.
5 刘杨, 孙泽昌, 王猛. 一体式电液复合制动系统制动力协调控制及试验[J]. 吉林大学学报: 工学版, 2016, 46(3): 718-724.
Liu Yang, Sun Ze-chang, Wang Meng. Brake force cooperative control and test for integrated electro-hydraulic brake system[J]. Journal of Jilin University (Engineering and Technology Edition), 2016, 46(3): 718-724.
6 刘文超. 分布式电动汽车复合制动系统控制策略的研究[D]. 长春: 吉林大学汽车工程学院, 2017.
Liu Wen-chao. Research on control strategy of compound braking system of distributed electric vehicle[D]. Changchun: College of Automotive Engineering, Jilin University, 2017.
7 王治中, 于良耀, 王语风, 等. 分布式电液制动系统执行机构液压控制[J]. 清华大学学报: 自然科学版, 2013, 53(10): 1464-1469.
Wang Zhi-zhong, Yu Liang-yao, Wang Yu-feng, et al. Distributed electro-hydraulic braking system actuator hydraulic control[J]. Journal of Tsinghua University (Science and Technology), 2013, 53(10): 1464-1469.
8 Wu D, Ding H, Guo K, et al. Experimental research on the pressure following control of electro-hydraulic braking system[J].SAE Technical Paper, 2014-01-0848.
9 吴健. 制动系电动助力器助力策略的研究[D]. 广州: 华南理工大学机械与汽车工程学院, 2017.
Wu Jian. Research on the power assistance strategy of electric booster for braking system[D]. Guangzhou: School of Mechanical and Automotive Engineering, South China University of Technology, 2017.
10 陈慧岩, 张瑞琳, 朱晓龙, 等. 越野无人驾驶车双回路电控液压制动系统设计及试验[J]. 北京理工大学学报, 2016, 36(7): 695-700.
Chen Hui-yan, Zhang Rui-lin, Zhu Xiao-long, et al. Design and test of electric control hydraulic braking system for cross-country unmanned vehicle[J]. Transactions of Beijing Institute of Technology, 2016, 36(7): 695-700.
11 余卓平, 熊璐, 张立军. 电液复合制动匹配研究[J]. 汽车工程, 2005(4): 455-457, 462.
Yu Zhuo-ping, Xiong Lu, Zhang Li-jun. Study on electro-hydraulic composite brake matching[J]. Automotive Engineering, 2005(4): 455-457, 462.
12 Xu G, Li W, Xu K, et al. An intelligent regenerative braking strategy for electric vehicles[J]. Energies, 2011, 4(9): 1461-1477.
13 潘宁, 于良耀, 宋健. 考虑舒适性的电动汽车制动意图分类与识别方法[J]. 清华大学学报: 自然科学版, 2016, 56(10): 1097-1103.
Pan Ning, Yu Liang-yao, Song Jian. Classification and identification of braking intention of electric vehicle considering comfort[J]. Journal of Tsinghua University (Science and Technology), 2016,56(10): 1097-1103.
14 孙磊. HEV驾驶员制动意图识别及控制算法研究[D]. 长春: 吉林大学汽车工程学院, 2012.
Sun Lei. Study on HEV driver braking intention identification and control algorithm[D]. Changchun: College of Automotive Engineering, Jilin University, 2012.
15 靳立强, 田端洋, 田浩, 等. 汽车电子稳定系统制动增力辅助技术[J]. 吉林大学学报: 工学版, 2019, 49(6): 1764-1776.
Jin Li-qiang, Tian Duan-yang, Tian Hao, et al. Brake force assistant technology for vehicle electronicstability control system[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49(6): 1764-1776.
[1] Guo-ying CHEN,Jun YAO,Peng WANG,Qi-kun XIA. Stability control strategy for rear in⁃wheel motor drive vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(2): 397-405.
[2] Fang-wu MA,Hong-yu LIANG,Qiang WANG,Yong-feng PU. In-plane dynamic crushing of dual-material structure with negative Poisson′s ratio [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 114-121.
[3] Dao WU,Li-bin ZHANG,Yun-xiang ZHANG,Hong-ying SHAN,Hong-mei SHAN. Visual detection method for vehicle braking time sequence based on slip rate identification [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 206-216.
[4] En-hui ZHANG,Ren HE,Wei-dong SU. Numerical analysis of oil liquid sloshing characteristics in fuel tank with different baffle structures [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 83-95.
[5] Lu XIONG,Yan-chao WEI,Le-tian GAO. Inertial measurement unit/wheel speed sensor integrated zero-speed detection [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 134-138.
[6] Ji-qing CHEN,Qing-sheng LAN,Feng-chong LAN,Zhao-lin LIU. Trajectory tracking control based on tire force prediction and fitting [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1565-1573.
[7] Zhi-gang YANG,Ya-jun FAN,Chao XIA,Shi-jun CHU,Xi-zhuang SHAN. Drag reduction of a square⁃back Ahmed model based on bi⁃stable wake [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1635-1644.
[8] Zhe SHEN,Yi-gang WANG,Zhi-gang YANG,Yin-zhi HE. Drift error correction of unknown sound source in wind tunnel using approximation method [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1584-1589.
[9] Zhao LIU,Jiang-lin CHENG,Yu-tian ZHU,Li-hui ZHENG. Vertical vibration modeling and motion correlation analysis of rail vehicles [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1600-1607.
[10] Fei GAO,Yang XIAO,Wen-hua ZHANG,Jin-xuan QI,Zi-qiao LI,Xiao-yuan MA. Influence of coupling of elevated temperature and state of charge on mechanical response of Li⁃ion battery cells [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1574-1583.
[11] Jing LI,Qiu-jun SHI,Liang HONG,Peng LIU. Commercial vehicle ESC neural network sliding mode control based on vehicle state estimation [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1545-1555.
[12] Chang-qing DU,Xi-liang CAO,Biao HE,Wei-qun REN. Parameters optimization of dual clutch transmission based on hybrid particle swarm optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1556-1564.
[13] Yin-ping LI,Tian-xu JIN,Li LIU. Design and dynamic characteristic simulation of pantograph⁃catenary continuous energy system for pure electric LHD [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 454-463.
[14] Chen-guang LAI,Qing-yu WANG,Bo HU,Kai-ping WEN,Yan-yu CHEN. Design and optimization of a car empennage with winglet under effect of static aeroelasticity [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 399-407.
[15] Hui YE,Chang LIU,Kang-kang YAN. Application of fiber reinforced composite in auto⁃body panel [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 417-425.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd