Volume 14 Issue 1
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2014  >  14(1): 65-74
SONG Xiang, LI Xu, ZHANG Wei-gong, CAI Feng-tian, WU Ming-ming. Joint estimation method of key parameters for automotive active safety[J]. Journal of Traffic and Transportation Engineering, 2014, 14(1): 65-74.
Citation: SONG Xiang, LI Xu, ZHANG Wei-gong, CAI Feng-tian, WU Ming-ming. Joint estimation method of key parameters for automotive active safety[J]. Journal of Traffic and Transportation Engineering, 2014, 14(1): 65-74.
shu

Joint estimation method of key parameters for automotive active safety

  • 1.

    School of Instrument Science and Engineering, Southeast University, Nanjing 210096, Jiangsu, China

  • 2.

    Research Institute of Highway of Ministry of Transport, Beijing 100088, China

More Information
  • Author Bio:

    SONG Xiang(1984-), male, doctoral student, +86-25-83794156, sx2190105@163.com

    ZHANG Wei-gong(1959-), male, professor, PhD, +86-25-83794157, zhangwg@seu.edu.cn

  • Received Date: 2013-08-18
  • Publish Date: 2014-02-25
    Abstract
  • According to the requirements of automotive active safety system, ajoint estimation method of key parameters for automotive active safety including automotive longitudinal velocity, lateral velocity and road friction coefficient was proposed. Based on automotive dynamics model with 3 degrees of freedom and brush tire model, the extended Kalman filter models under different road friction coefficient conditions were established. Automotive longitudinal velocity and lateral velocity were adaptively estimated by using the interacting multiple model, and the road friction coefficient could be real-timely estimated based on the calculated model probabilities. Calculation result shows that the method can accurately estimate automotive longitudinal and lateral velocities under different road friction coefficient conditions, the estimation error rates are less than 1% and 5% respectively. Compared with extended Kalman filter method, the estimation error of automotive velocity estimated by using the method reduces by more than 50%. When road condition mutates, the road friction coefficient can be real-timely estimated, the estimation error is less than 0.1, and the response time is less than 2 s.

     

    • FullText(HTML)
  • loading
    • References(16)
  • [1]
    LEUNG K T, WHIDBORNE J F, PURDY D, et al. A review of ground vehicle dynamic state estimations utilising GPS/INS[J]. Vehicle System Dynamics, 2011, 49 (1/2): 29-58.
    [2]
    余卓平, 高晓杰. 车辆行驶过程中的状态估计问题综述[J]. 机械工程学报, 2009, 45 (5): 20-33. https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB200905005.htm

    YU Zhuo-ping, GAO Xiao-jie. Review of vehicle state estimation problem under driving situation[J]. Journal of Mechanical Engineering, 2009, 45 (5): 20-33. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB200905005.htm
    [3]
    CHEN B C, HSIEH F C. Sideslip angle estimation using extended Kalman filter[J]. Vehicle System Dynamics, 2008, 46 (S1): 353-364.
    [4]
    郑太雄, 马付雷. 基于逻辑门限值的汽车ABS控制策略[J]. 交通运输工程学报, 2010, 10 (2): 69-74. doi: 10.3969/j.issn.1671-1637.2010.02.013

    ZHENG Tai-xiong, MA Fu-lei. Automotive ABS control strategy based on logic threshold[J]. Journal of Traffic and Transportation Engineering, 2010, 10 (2): 69-74. (in Chinese). doi: 10.3969/j.issn.1671-1637.2010.02.013
    [5]
    LI L, SONG J, KONG L, et al. Vehicle velocity estimation for real-time dynamic stability comtrol[J]. International Journal of Automative Technology, 2009, 10 (6): 675-685. doi: 10.1007/s12239-009-0080-7
    [6]
    赵林辉, 刘志远, 陈虹. 一种车辆状态滑模观测器的设计方法[J]. 电机与控制学报, 2009, 13 (4): 565-570. doi: 10.3969/j.issn.1007-449X.2009.04.017

    ZHAO Lin-hui, LIU Zhi-yuan, CHEN Hong. Design method of sliding model observer for vehicle state[J]. Electric Machines and Control, 2009, 13 (4): 565-570. (in Chinese). doi: 10.3969/j.issn.1007-449X.2009.04.017
    [7]
    ZHENG Tai-xiong, MA Fu-lei, ZHANG Kai-bi. Estimation of reference vehicle speed based on T-S fuzzy model[J]. Procedia Engineering, 2011, 15: 188-193. doi: 10.1016/j.proeng.2011.08.038
    [8]
    MELZI S, SABBIONI E. On the vehicle sideslip angle estimation through neural networks: numerical and experimental results[J]. Mechanical Systems and Signal Processing, 2011, 25 (6): 2005-2019. doi: 10.1016/j.ymssp.2010.10.015
    [9]
    ZONG Chang-fu, HU Dan, ZHENG Hong-yu. Dual extended Kalman filter for combined estimation of vehicle state and road friction[J]. Chinese Journal of Mechanical Engineering, 2013, 26 (2): 313-324.
    [10]
    吴利军, 王跃建, 李克强. 面向汽车纵向安全辅助系统的路面附着系数估计方法[J]. 汽车工程, 2009, 31 (3): 239-243. doi: 10.3321/j.issn:1000-680X.2009.03.010

    WU Li-jun, WANG Yue-jian, LI Ke-qiang. Estimation method of road adhesion coefficient for vehicle longitudinal safety assistant system[J]. Automotive Engineering, 2009, 31 (3): 239-243. (in Chinese). doi: 10.3321/j.issn:1000-680X.2009.03.010
    [11]
    TANELLI M, PIRODDI L, SAVARESI S M. Real-time identification of tire-road friction conditions[J]. IET Control Theory Applications, 2009, 3 (7): 891-906. doi: 10.1049/iet-cta.2008.0287
    [12]
    HAHN J O, RAJAMANI R, ALEXANDER L. GPS-based real-time identification of tire-road friction coefficient[J]. IEEE Transactions on Control Systems Technology, 2002, 10 (3): 331-343.
    [13]
    陈无畏, 刘翔宇, 黄鹤, 等. 车辆转向工况下的路面附着系数估计算法[J]. 汽车工程, 2011, 33 (6): 521-526. https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201106015.htm

    CHEN Wu-wei, LIU Xiang-yu, HUANG He, et al. An algorithm for estimating road adhesion coefficient in vehicle steering condition[J]. Automotive Engineering, 2011, 33 (6): 521-526. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201106015.htm
    [14]
    赵林辉, 刘志远, 陈虹. 车速和路面附着系数的滚动时域估计[J]. 汽车工程, 2009, 31 (6): 520-525. doi: 10.3321/j.issn:1000-680X.2009.06.008

    ZHAO Lin-hui, LIU Zhi-yuan, CHEN Hong. The estimation of vehicle speed and tire-road adhesion coefficient using moving horizon strategy[J]. Automotive Engineering, 2009, 31 (6): 520-525. (in Chinese). doi: 10.3321/j.issn:1000-680X.2009.06.008
    [15]
    LI Li, WANG Fei-yue, ZHOU Qun-zhi. Integrated longitudinal and lateral tire/road friction modeling and monitoring for vehicle motion control[J]. IEEE Transactions on Intelligent Transportation Systems, 2006, 7 (1): 1-19.
    [16]
    TOLEDO-MOREO R, ZAMORA-IZQUIERDO A. Collision avoidance support in roads with lateral and longitudinal maneuver prediction by fusing GPS/IMU and digital maps[J]. Transportation Research Part C: Emerging Technologies, 2010, 18 (4): 611-625.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (630) PDF downloads(763) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return