Investigation of mode transition coordination for power-split hybrid vehicles using dynamic surface control

被引:8
作者
Xu, Defeng [1 ]
Zhang, Jianwu [1 ]
Zhou, Bin [1 ]
Yu, Haisheng [2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, State Key Lab Mech Syst & Vibrat, Shanghai, Peoples R China
[2] Corun Hybrid Syst Technol Co Ltd, Shanghai, Peoples R China
关键词
Compound power-split transmission; mode transition; coordinated control; clutch slip control; motor torque compensation; hydraulic system modelling; EXPERIMENTAL VALIDATION; SHIFT CONTROL; ARCHITECTURES; DESIGN; SYSTEM;
D O I
10.1177/1464419319838931
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
For passenger cars propelled by the dedicated compound power-split hybrid powertrain, driveline oscillations-induced vehicle jerks are often excited during clutch-to-clutch shift operations while drive mode changes. To tackle this issue, a coordinated dynamic surface control is developed by integrating clutch slips and motor torque compensation strategies through trajectories tracking of both clutch slip speed and wheel speed. Uncertainties or disturbances are treated to be additional inputs of the system, and model nonlinearities are considered and implemented in discretized form through lookup tables. A complex simulation model including electro-hydraulic system is proposed and validated via experiments. The coordinated controller is validated by collaborative simulation. Numerical examples are made and simulation results verify that the controller is effective and robust enough against parameters uncertainties.
引用
收藏
页码:696 / 713
页数:18
相关论文
共 50 条
  • [41] Research on real-time control strategy of multi-power flow of dual-mode power-split hybrid electric vehicle
    Liu, Hui
    Li, Xunming
    Han, Lijin
    Wang, Weida
    Xiang, Changle
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2022, 236 (12) : 2519 - 2543
  • [42] Torque Coordination Control During Mode Transition for a Series-Parallel Hybrid Electric Vehicle
    Chen, Li
    Xi, Gang
    Sun, Jing
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (07) : 2936 - 2949
  • [43] Economic MPC-based transient control for a dual-mode power-split HEV
    Qi, YunLong
    Wang, WeiDa
    Xiang, ChangLe
    Zhao, YuLong
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2017, 60 (12) : 1917 - 1934
  • [44] Energy management optimization for a power-split hybrid in a dual-mode RCCI-CDC engine
    Garcia, Antonio
    Carlucci, Paolo
    Monsalve-Serrano, Javier
    Valletta, Andrea
    Martinez-Boggio, Santiago
    APPLIED ENERGY, 2021, 302 (302)
  • [45] Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control
    Xiang, Changle
    Ding, Feng
    Wang, Weida
    He, Wei
    APPLIED ENERGY, 2017, 189 : 640 - 653
  • [46] Rule-based Online Energy Management Strategy for Power-Split Plug-in Hybrid Electric Vehicles
    Chen, Zheng
    Wu, Yitao
    Guo, Ningyuan
    Shen, Jiangwei
    Xiao, Renxin
    2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2018,
  • [47] Multi-Objective Design Optimization of a Novel Dual-Mode Power-Split Hybrid Powertrain
    Tang, Xiaolin
    Zhang, Jieming
    Cui, Xiangyang
    Lin, Xianke
    Grzesiak, Lech M.
    Hu, Xiaosong
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (01) : 282 - 296
  • [48] Model Predictive Control of Engine Start-up for Compound Power-split Hybrid Powertrain
    Zhao Z.
    Fu J.
    Jiang L.
    Fan J.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2020, 56 (22): : 201 - 209
  • [49] Data-Driven Predictive Torque Coordination Control during Mode Transition Process of Hybrid Electric Vehicles
    Sun, Jing
    Xing, Guojing
    Zhang, Chenghui
    ENERGIES, 2017, 10 (04):
  • [50] A Heuristic Planning Reinforcement Learning-Based Energy Management for Power-Split Plug-in Hybrid Electric Vehicles
    Liu, Teng
    Hu, Xiaosong
    Hu, Weihao
    Zou, Yuan
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (12) : 6436 - 6445