Application of Novel Lateral Tire Force Sensors to Vehicle Parameter Estimation of Electric Vehicles

被引:26
|
作者
Nam, Kanghyun [1 ]
机构
[1] Yeungnam Univ, Sch Mech Engn, Kyongsan 712749, South Korea
关键词
lateral tire force sensors; tire model; tire cornering stiffness estimation; lateral vehicle velocity estimation; ground vehicles; STATE ESTIMATION; CORNERING STIFFNESS; SIDESLIP;
D O I
10.3390/s151128385
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This article presents methods for estimating lateral vehicle velocity and tire cornering stiffness, which are key parameters in vehicle dynamics control, using lateral tire force measurements. Lateral tire forces acting on each tire are directly measured by load-sensing hub bearings that were invented and further developed by NSK Ltd. For estimating the lateral vehicle velocity, tire force models considering lateral load transfer effects are used, and a recursive least square algorithm is adapted to identify the lateral vehicle velocity as an unknown parameter. Using the estimated lateral vehicle velocity, tire cornering stiffness, which is an important tire parameter dominating the vehicle's cornering responses, is estimated. For the practical implementation, the cornering stiffness estimation algorithm based on a simple bicycle model is developed and discussed. Finally, proposed estimation algorithms were evaluated using experimental test data.
引用
收藏
页码:28385 / 28401
页数:17
相关论文
共 50 条
  • [1] Vehicle State Estimation For Advanced Vehicle Motion Control Using Novel Lateral Tire Force Sensors
    Nam, Kanghyun
    Oh, Sehoon
    Fujimoto, Hiroshi
    Hori, Yoichi
    2011 AMERICAN CONTROL CONFERENCE, 2011, : 4853 - 4858
  • [2] Motion Control of Electric Vehicles Based on Robust Lateral Tire Force Control Using Lateral Tire Force Sensors
    Nam, Kanghyun
    Fujimoto, Hiroshi
    Hori, Yoichi
    2012 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2012, : 526 - 531
  • [3] Lateral Stability Control of In-Wheel-Motor-Driven Electric Vehicles Based on Sideslip Angle Estimation Using Lateral Tire Force Sensors
    Nam, Kanghyun
    Fujimoto, Hiroshi
    Hori, Yoichi
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (05) : 1972 - 1985
  • [4] Estimation of Sideslip and Roll Angles of Electric Vehicles Using Lateral Tire Force Sensors Through RLS and Kalman Filter Approaches
    Nam, Kanghyun
    Oh, Sehoon
    Fujimoto, Hiroshi
    Hori, Yoichi
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (03) : 988 - 1000
  • [5] Robust joint estimation of sideslip angle and tire lateral force for distributed drive electric vehicle
    Yu, Binghao
    Chen, Qiping
    Xiong, Zuqi
    Jiang, Zhiqiang
    Zhong, Chengping
    You, Daoliang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2024,
  • [6] Simultaneous estimation of tire side-slip angle and lateral tire force for vehicle lateral stability control
    Cheng, Shuo
    Li, Liang
    Yan, Bingjie
    Liu, Congzhi
    Wang, Xiangyu
    Fang, Jigen
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 132 : 168 - 182
  • [8] TIRE-GROUND NORMAL FORCE ESTIMATION FROM VEHICLE SYSTEM IDENTIFICATION AND PARAMETER ESTIMATION
    Kolansky, Jeremy
    Sandu, Corina
    Els, Schalk
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2014, VOL 7, 2014,
  • [9] Robust Lateral and Longitudinal Tire Force Estimation Based on PMI Observer for Intelligent Vehicle
    Dong, Xiaochen
    Tao, Siyou
    Zhang, Hui
    2022 IEEE 5TH INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, ICPS, 2022,
  • [10] Predictive Control of Vehicle Dynamics Equipped with Intelligent Tire Sensors via Gaussian Process Regression of Lateral Tire Force
    Ryu, Kunhee
    Kim, Jinsung
    Han, Minkyu
    Back, Juhoon
    2024 IEEE 18TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION, ICCA 2024, 2024, : 579 - 584