VEHICLE ROLLOVER DETECTION INDEX

被引:0
|
作者
Moshchuk, Nikolai [1 ]
Chen, Shih-Ken [1 ]
机构
[1] Gen Motors Corp, Warren, MI 48090 USA
来源
IMECE2009: PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, VOL 13 | 2010年
关键词
ROAD VEHICLES; SYSTEM;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Vehicle rollover resistance can be enhanced using differential braking control, rear-wheel steering, front steering control, suspension damping control, or the combination of any of them. In each control action, the controller receives the vehicle dynamics information from various sensors, such as a yaw-velocity sensor, a lateral accelerometer, a roll-velocity sensor (if available), and suspension displacement sensors (if available), and determines a control action to be taken. A balance between controlling vehicle roll motion and vehicle yaw motion needs to be reached to achieve the optimal vehicle response. Therefore, detection of the current and impending vehicle situations, especially pertaining to the vehicle roll, is vital for the quality of control. Various methodologies have been developed in the past to detect vehicle situations that may lead to rollover. Generally, rollover detection is based on roll velocity sensor and roll angle estimation. In most of these methods, thresholds for roll velocity and roll angle are established to detect imminent rollover. Even though roll velocity and roll angle are the two most important elements in vehicle roll motion, they may not be sufficient to timely detect impending rollover. This paper proposes a vehicle rollover detection index that can be used in a control algorithm to enhance vehicle rollover resistance. It uses roll angle and velocity (measured or estimated), yaw velocity, vehicle speed, and lateral acceleration. Further enhancement to the proposed algorithm is then briefly discussed that includes the effect of vehicle lateral load transfer on the detection.
引用
收藏
页码:583 / 587
页数:5
相关论文
共 50 条
  • [1] A System for Vehicle Collision and Rollover Detection
    Ibrahim, Hamdy A.
    Aly, Ahmed K.
    Far, Behrouz H.
    2016 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2016,
  • [2] An Earlier Predictive Rollover Index Designed for Bus Rollover Detection and Prevention
    Tian, Shun
    Wei, Lang
    Schwarz, Chris
    Zhou, WenCai
    Jiao, Yuan
    Chen, YanQin
    Journal of Advanced Transportation, 2018, 2018
  • [3] An Earlier Predictive Rollover Index Designed for Bus Rollover Detection and Prevention
    Tian, Shun
    Wei, Lang
    Schwarz, Chris
    Zhou, WenCai
    Jiao, Yuan
    Chen, YanQin
    JOURNAL OF ADVANCED TRANSPORTATION, 2018,
  • [4] Rollover Index for Rollover Mitigation Function of Intelligent Commercial Vehicle's Electronic Stability Control
    Shin, Donghoon
    Woo, Seunghoon
    Park, Manbok
    ELECTRONICS, 2021, 10 (21)
  • [5] Vehicle rollover detection using recurrent neural networks
    Dengler, Christian
    Treetipsounthorn, Kailerk
    Chantranuwathana, Sunhapos
    Phanomchoeng, Gridsada
    Lohmann, Boris
    Panngum, Setha
    PROCEEDINGS OF THE IEEE 2019 9TH INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) (CIS & RAM 2019), 2019, : 59 - 64
  • [6] New Rollover Index for the Detection of Tripped and Untripped Rollovers
    Phanomchoeng, Gridsada
    Rajamani, Rajesh
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (10) : 4726 - 4736
  • [7] Vehicle Rollover Index Estimation Using a Nonlinear Unknown Input Observer
    Codjia, D. J.
    Boutat-Baddas, L.
    Alma, M.
    Haddad, M.
    Zemouche, A.
    2023 31ST MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, MED, 2023, : 446 - 451
  • [8] Design of a rollover index-based vehicle stability control scheme
    Yoon, Jangyeol
    Kim, Dongshin
    Yi, Kyongsu
    VEHICLE SYSTEM DYNAMICS, 2007, 45 (05) : 459 - 475
  • [9] Off-road vehicle rollover and field testing of stability index
    Liu, J.
    Ayers, P.D.
    Journal of Agricultural Safety and Health, 1999, 5 (01): : 59 - 71
  • [10] Vehicle Rollover Avoidance
    Chen, Shih-Ken
    Moshchuk, Nikolai
    Nardi, Flavio
    Ryu, Jihan
    IEEE CONTROL SYSTEMS MAGAZINE, 2010, 30 (04): : 70 - 85