Research on the real-time identification approach of longitudinal road slope and maximum road friction coefficient

被引：7
|
作者：
Yong, Wenliang [1 ]
Guan, Xin [1 ]
Wang, Bo [2 ]
Ding, Minghui [1 ]
机构：
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130022, Jilin, Peoples R China
[2] GAC Automot Res & Dev Ctr, Guangzhou 511434, Guangdong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF VEHICLE DESIGN | 2019年 / 79卷 / 01期
关键词：
identification; maximum road friction coefficient; road slope; IMM Kalman filter; road type recognition; TYRE;
D O I：
10.1504/IJVD.2019.101519
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Real-time knowledge of maximum road friction coefficient and road slope is crucial for active vehicle control systems. Most recent researches mainly assume that the road slope is constant and the influence on the identification of the maximum road friction coefficient is not considered. In this paper, the IMM Kalman filter method for the identification of road longitudinal slope is developed. Considering the axle load transfer caused by the road slope, the current road type is recognised by comparing the samples of the estimated instantaneous road friction coefficient with each standard road, then the maximum road friction coefficient can be easily determined by an online lookup table. Finally, experimental tests on the braking system hardware-in-the-loop test rig driven by the driving simulator are conducted. The results demonstrate that the identification approach can identify the current road slope and maximum road friction coefficient with good adaptability to various vehicle conditions.
引用
收藏
页码：18 / 42
页数：25
相关论文
共 50 条
  • [1] Road Friction Coefficient Real-Time Identification Based on the Tire Dynamic Friction Model
    FAN Xiao-bin
    DENG Pan
    JIANG Yu
    FAN Bing-xu
    Computer Aided Drafting,Design and Manufacturing, 2013, (03) : 28 - 32
  • [2] Real-time estimation of road friction coefficient for the electric vehicle
    Lin Cheng
    Wang Gang
    Cao Wan-ke
    Zhou Feng-jun
    PROCEEDINGS OF THE 2012 THIRD WORLD CONGRESS ON SOFTWARE ENGINEERING (WCSE 2012), 2012, : 172 - 175
  • [3] GPS-based real-time identification of tire-road friction coefficient
    Hahn, JO
    Rajamani, R
    Alexander, L
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2002, 10 (03) : 331 - 343
  • [4] Real-time slip-based estimation of maximum tire-road friction coefficient
    Lee, C
    Hedrick, K
    Yi, KS
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2004, 9 (02) : 454 - 458
  • [5] Proposal of the road surface friction coefficient real-time estimation method
    Shiozawa, Yuuki
    Mouri, Hiroshi
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2018, 12 (07):
  • [6] Real-time identification of tire-road friction conditions
    Tanelli, Mara
    Piroddi, Luigi
    Piuri, Marco
    Savaresi, Sergio M.
    2008 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 2008, : 194 - 199
  • [7] Real-time identification of tire-road friction conditions
    Tanelli, M.
    Piroddi, L.
    Savaresi, S. M.
    IET CONTROL THEORY AND APPLICATIONS, 2009, 3 (07): : 891 - 906
  • [8] Vehicle-Longitudinal-Motion-Independent Real-Time Tire-Road Friction Coefficient Estimation
    Chen, Yan
    Wang, Junmin
    49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, : 2910 - 2915
  • [9] Linearized Recursive Least Squares Methods for Real-Time Identification of Tire-Road Friction Coefficient
    Choi, Mooryong
    Oh, Jiwon J.
    Choi, Seibum B.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (07) : 2906 - 2918
  • [10] Identification of Maximum Road Friction Coefficient and Optimal Slip Ratio Based on Road Type Recognition
    GUAN Hsin
    WANG Bo
    LU Pingping
    XU Liang
    Chinese Journal of Mechanical Engineering, 2014, 27 (05) : 1018 - 1026
12345