Slip ratio estimation of electric wheels based on tire force and road conditions

被引:2
|
作者
Li, Hang [1 ]
Hu, Zunyan [1 ]
Hu, Jiayi [1 ]
Li, Jianqiu [1 ]
Li, Jingkang [1 ]
Li, Yuanyuan [1 ]
Xu, Liangfei [1 ]
Liu, Shucheng [1 ]
Ouyang, Minggao [1 ]
机构
[1] Tsinghua Univ, State Key Lab Automot Safety & Energy, 30 Shuangqing Rd, Beijing 100084, Peoples R China
基金
国家重点研发计划;
关键词
Distributed drive vehicle; electric wheel; slip ratio estimation; drum dynamometer test; road test; VEHICLE; OPTIMIZATION; MOTION; CONTROLLER;
D O I
10.1177/09544070221145979
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The independently controlled electric wheels of distributed drive vehicles provide faster and more accurate actuators for vehicle slip ratio control. Meanwhile, the estimation of the slip ratio of electric wheels has been of vital importance for the dynamics control of distributed drive electric vehicles. However, the conventional slip ratio estimation method is hard to accurately estimate the slip ratio under steering conditions without multiple observations, increasing the cost and introducing errors. Considering that the output torque and motor rotation rate of electric wheels can be accurately collected, the novel slip ratio estimation method takes advantage of the signals of the electric wheels and requires fewer vehicle sensors. Based on the torsional vibration model of electric wheel, the slip ratio estimation method was proposed and validated by simulations and experiments. With the drum dynamometer, the slip ratio estimation method was applied to a single electric wheel for testing, proving the feasibility and accuracy of the proposed method. The slip ratio estimation was finally applied to a fuel cell heavy truck for road tests, of which the results show that the error index is reduced from 0.0152 to 0.0064 compared to the conventional slip ratio estimation method, confirming the good estimation performance achievable via the proposed method.
引用
收藏
页码:1295 / 1314
页数:20
相关论文
共 50 条
  • [21] Dynamic estimation of the tire-road frictional coefficient (TRFC) for acceleration slip regulation in a lightweight electric vehicle.
    Neroula, Sujan
    Sharma, Santanu
    PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY, 2019, : 2582 - 2586
  • [22] MPC-Based Slip Ratio Control for Electric Vehicle Considering Road Roughness
    Ma, Yan
    Zhao, Jinyang
    Zhao, Haiyan
    Lu, Chao
    Chen, Hong
    IEEE ACCESS, 2019, 7 : 52405 - 52413
  • [23] Enhanced tire road friction coefficient estimation through interacting multiple model design based on tire force observation
    Wan, Wenkang
    Sheng, Kai
    Cai, Qing
    Ao, Lei
    Ouyang, Nan
    Feng, Haoxuan
    Sime, Dejene M.
    NONLINEAR DYNAMICS, 2025,
  • [24] 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
  • [25] Estimation and change detection of tire-road friction using the wheel slip
    Gustafsson, F
    PROCEEDINGS OF THE 1996 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-AIDED CONTROL SYSTEM DESIGN, 1996, : 99 - 104
  • [26] Slip Ratio Estimation for Traction Control of Electric Vehicles
    Thanh Vo-Duy
    Ta, Minh C.
    2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2018,
  • [27] Modular scheme for four-wheel-drive electric vehicle tire-road force and velocity estimation
    Guo, Hongyan
    Liu, Hui
    Yin, Zhenyu
    Wang, Yulei
    Chen, Hong
    Ma, Yingjun
    IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 13 (03) : 551 - 562
  • [28] Corner-based estimation of tire forces and vehicle velocities robust to road conditions
    Hashemi, Ehsan
    Pirani, Mohammad
    Khajepour, Amir
    Kasaiezadeh, Alireza
    Chen, Shih-Ken
    Litkouhi, Bakhtiar
    CONTROL ENGINEERING PRACTICE, 2017, 61 : 28 - 40
  • [29] Tire Characteristics Estimation Method Independent of Road Surface Conditions
    Shiozawa, Yuuki
    Mouri, Hiroshi
    JOURNAL OF ROBOTICS AND MECHATRONICS, 2018, 30 (01) : 138 - 144
  • [30] Estimation of tire-road friction based on tire torsional resonance
    Toyota Central R and D Labs., Inc., Nagakute-cho, Aichi, 480-1192, Japan
    不详
    不详
    不详
    不详
    1600, 341-345 (July 2004):