A Modeling and Control Algorithm for a Commercial Vehicle Electronic Brake System Based on Vertical Load Estimation

被引:0
|
作者
Zheng, Hongyu [1 ]
Xin, Yafei [1 ]
He, Yutai [1 ]
Jiang, Tong [1 ]
Liu, Xiangzheng [1 ]
Jin, Liqiang [1 ]
机构
[1] Jilin Univ, State Key Lab Automot Simulat & Control ASCL, Changchun 130025, Peoples R China
关键词
commercial vehicles; electronic brake system; load estimation; brake force distribution; hardware-in-the-loop experiment; EMERGENCY BRAKING; STATE ESTIMATION;
D O I
10.3390/act12100376
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In the electronic brake system (EBS) of commercial vehicles, due to the compressibility of gas, it is difficult to achieve accurate control in the pneumatic pipeline. To address this issue, a vertical load estimator based on unscented particle filtering (UPF) was designed, which can estimate vertical load during the running of the vehicle. Then, the EBS dynamics model was established based on software, including a brake signal sensor, single-channel bridge control module, ABS solenoid valve, and dual-channel bridge control module. Finally, based on the characteristics of the EBS valve, the control algorithm of the valve was studied, and the algorithm was tested using a hardware-in-the-loop experiment. The experiment results showed that the designed algorithm could improve braking performance.
引用
收藏
页数:27
相关论文
共 50 条
  • [21] Full vehicle vibration state estimation algorithm based on feedback linearization
    Zhao, Yu-Zhuang
    Lu, Fan
    Chen, Si-Zhong
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2015, 35 (11): : 1140 - 1145and1151
  • [22] Vehicle State Estimation Based on Unscented Kalman Filtering and a Genetic Algorithm
    Liu, Yingjie
    Dou, Chunhong
    SAE INTERNATIONAL JOURNAL OF COMMERCIAL VEHICLES, 2021, 14 (01) : 23 - 37
  • [23] Development of vehicle test system and vehicle state estimation based on GPS/INS integrated navigation system
    Gan J.
    Fan X.
    Song Z.
    Zhang M.
    Zhao B.
    International Journal of Vehicle Systems Modelling and Testing, 2020, 14 (01) : 51 - 70
  • [24] Vehicle State and Parameter Estimation Based on Dual Unscented Particle Filter Algorithm
    林棻
    王浩
    王伟
    刘存星
    谢春利
    Transactions of Nanjing University of Aeronautics and Astronautics, 2014, 31 (05) : 568 - 575
  • [25] Non Integer Order Modeling and Control of Aerodynamic Load Simulator System
    Ullah, Nasim
    Al-Ahmadi, Ahmad Aziz
    IEEE ACCESS, 2019, 7 : 160177 - 160190
  • [26] Vehicle State Estimation Based on the Combination of Unscented Kalman Filtering and Genetic Algorithm
    Zhou W.
    Qi X.
    Chen L.
    Xu X.
    Qiche Gongcheng/Automotive Engineering, 2019, 41 (02): : 198 - 205
  • [27] Load reallocation based algorithm for state estimation in distribution networks with distributed generators
    Saric, Andrija T.
    Rankovic, Aleksandar
    ELECTRIC POWER SYSTEMS RESEARCH, 2012, 84 (01) : 72 - 82
  • [28] Simultaneous estimation of state and unknown road roughness input for vehicle suspension control system based on discrete Kalman filter
    Kim, Gi-Woo
    Kang, Sun-Woo
    Kim, Jung-Sik
    Oh, Jong-Seok
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2020, 234 (06) : 1610 - 1622
  • [29] Research on Path Tracking Fault-Tolerant Control Strategy for Intelligent Commercial Vehicles Based on Brake Actuator Failure
    Cui, Guanjie
    Bao, Chunjiang
    Guo, Mingjie
    Xu, Yahui
    He, Yelin
    Wu, Jian
    ACTUATORS, 2024, 13 (03)
  • [30] A Kalman filter based algorithm for wind load estimation on high-rise buildings
    Zhi, Lun-hai
    Yu, Pan
    Tu, Jian-wei
    Chen, Bo
    Li, Yong-gui
    STRUCTURAL ENGINEERING AND MECHANICS, 2017, 64 (04) : 449 - 459