Adaptive shift strategy of a novel power-cycling variable transmission for construction vehicles

被引:3
|
作者
You, Yong [1 ,2 ,3 ]
Wu, Jingtao [1 ,2 ]
Meng, Yunlong [1 ,2 ]
Sun, Dongye [3 ]
Qin, Datong [3 ]
机构
[1] Hebei Univ Technol, Sch Mech Engn, Tianjin 300400, Peoples R China
[2] Tianjin Key Lab Power Transmission & Safety Techno, Tianjin 300400, Peoples R China
[3] Chongqing Univ, State Key Lab Mech Transmission, Chongqing 400044, Peoples R China
关键词
Power -cycling variable transmission system; (PCVT); Wheel loader; Slope gradient; Mass; Identification; Shift; LEAST-SQUARES ALGORITHM; PARAMETER-IDENTIFICATION; SIMULATION; OPTIMIZATION; PERFORMANCE; SCHEDULE; SYSTEM;
D O I
10.1016/j.robot.2023.104563
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new power-cycling variable transmission (PCVT) is proposed and applied to construction vehicles to improve transmission efficiency. To adapt to changes in external loads, construction vehicles need to shift gears continuously. However, the shift points obtained by traditional method cannot change with working conditions. This study aims to identify construction vehicles' mass and gradient changes, and to develop a shift correction strategy. The double-forgetting factors least squares method is designed to identify slope gradient and load. A PCVT dynamic shift strategy is developed based on speed ratio adjustment characteristics. Next, a modified shift strategy under different loading mass and slope gradient conditions is proposed based on the construction vehicles' mass change ratio, the gradient change ratio and balanced velocity. Simulation results show the proposed method can correct shift points, improve operation efficiency, avoid shift cycles and ensure a safer operation process.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Design and Analysis of a Novel Power-Split Infinitely Variable Power Transmission System
    Ince, Ender
    Guler, Mehmet A.
    JOURNAL OF MECHANICAL DESIGN, 2019, 141 (05)
  • [42] National Strategy and Industrial Governance Shift: Transformation of the Power Transmission and Distribution Industry in China
    Ma Ying
    CHINA-AN INTERNATIONAL JOURNAL, 2016, 14 (01) : 101 - 111
  • [43] Energy management strategy of integrated adaptive fuzzy power system in fuel cell vehicles
    Li, Changyi
    Liu, Tingting
    Energy Informatics, 2024, 7 (01)
  • [44] A novel adaptive variable speed control strategy for wound rotor induction motors
    Ekang, Dieudonne
    Nganga-Kouya, Donatien
    Okou, Aime Francis
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2023, 42 (01) : 31 - 45
  • [45] Intelligent control strategy of vehicles equipped with continuously variable transmission based on statistic feature of driving parameters
    Luo Y.
    Sun D.
    Qin D.
    Hu J.
    Liao J.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2011, 47 (18): : 101 - 109
  • [46] A novel method of reliable data transmission for Internet of Vehicles based on crowd sensing strategy
    Zhang, Ting
    Zhang, Degan
    Zhang, Ping
    Zhang, Jie
    Tian, Shuhua
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2024, 37 (15)
  • [47] Fluid air content affecting the power shift performance of the hydro-mechanical variable transmission
    Yang, Shujun
    Jiao, Xiaojuan
    Bao, Yong
    Wang, Wenfeng
    Ding, Jian
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2015, 51 (14): : 122 - 130
  • [48] Modeling and Simulation of Continuous Power Shift Process of Hydro-mechanical Continuously Variable Transmission
    Guo Z.
    Xu L.
    Sun D.
    Zhang S.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2022, 53 (08): : 435 - 442
  • [49] Control of post-emergency conditions of electrical power transmission lines with variable phase shift
    Fedin, VT
    Chernetskii, AM
    ELECTRICAL TECHNOLOGY, 1997, (03): : 1 - 10
  • [50] Energy management strategy for hybrid electric vehicles based on adaptive equivalent consumption minimization strategy and mode switching with variable thresholds
    Li, Yang
    Jiao, Xiaohong
    SCIENCE PROGRESS, 2020, 103 (01)