An Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle

被引：0
|
作者：
Mei C. [1 ]
Peng J. [2 ,3 ]
Hu Y. [1 ,2 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
[2] BITIV Intelligent Vehicle Technology Co., Ltd., Changshu
[3] Hangzhou Innovation Institute, Beihang University, Hangzhou
来源：
Binggong Xuebao/Acta Armamentarii | 2021年 / 42卷 / 09期
关键词：
Cruise/Simulink co-simulation; Hybrid commercial vehicle; Kalman filter; Online estimation algorithm; Vehicle total mass;
D O I：
10.3969/j.issn.1000-1093.2021.09.004
中图分类号：
学科分类号：
摘要：
It is difficult for the automatic transmission controller of hybrid commercial vehicle to measure the total mass to optimize the shifting. An online mass estimation algorithm is proposed for the single-shaft parallel hybrid commercial vehicle. The parameter characteristics of vehicle's total mass during driving is analyzed, based on which the boundary conditions are set. A vehicle longitudinal dynamics model is established, and the working conditions of P2 hybrid system are studied. On this basis, the extended Kalman filter (EKF) algorithm is used to estimate the vehicle's total mass online. Cruise/Simulink co-simulation is realized by combining the vehicle model built in Cruise and the controller strategy model built in Simulink. Simulation tests and real vehicle tests were carried out. The test results show that the proposed algorithm can effectively identify the total mass of vehicle which satisfies the vehicle control requirements. © 2021, Editorial Board of Acta Armamentarii. All right reserved.
引用
收藏
页码：1838 / 1846
页数：8
相关论文
共 16 条
  • [1] LIU H O, JIN L, DONG S J, Et al., Shift sequence optimization of heavy-duty vehicles with automated manual transmission, Acta Armamentarii, 36, 8, pp. 1377-1383, (2015)
  • [2] HAO S Q, LUO P P, XI J Q., Estimation of vehicle mass and road slope based on steady-state Kalman filter, Automotive Engineering, 40, 9, pp. 1062-1067, (2018)
  • [3] FATHY H K, KANG D S, STEIN J L., Online vehicle mass estimation using recursive least squares and supervisory data extraction, Proceedings of American Control Conference, pp. 1842-1848, (2008)
  • [4] JIN L., Shift schedule optimization of heavy-duty off-road vehicles equipped with AMTs, (2015)
  • [5] YANG D, YAO S H, HUANG B F, Et al., Road grad and vehicle-mass recognition and its application in AMT shift schedule, Journal of Hubei University of Automotive Technology, 33, 1, pp. 17-22, (2019)
  • [6] XIA G, TU B T, TANG X W, Et al., A research on shift control of vehicle automatic transmission based on vehicle mass and road slope identification, Automotive Engineering, 40, 3, pp. 305-312, (2018)
  • [7] LINGMAN P, SCHMIDTBAUER B., Road slope and vehicle mass estimation using Kalman filtering, Vehicle System Dynamics, 37, S1, pp. 12-23, (2002)
  • [8] LEI Y L, FU Y, LIU K, Et al., Vehicle mass and road grade estimation based on extended Kalman filter, Transactions of The Chinese Society of Agricultural Machinery, 45, 11, pp. 9-13, (2014)
  • [9] HU M J, LUO Y G, CHEN L, Et al., Vehicle mass estimation based on longitudinal frequency response characteristics, Journal of Jilin University (Engineering and Technology Edition), 48, 4, pp. 977-983, (2018)
  • [10] XI J Q, MA Z J, HU Y H., Co-simulation platform for single-shaft parallel HEVs based on Cruise+MATLAB/Simulink, Journal of Beijing Institute of Technology, 23, 4, pp. 457-462, (2014)
12