Coordination control for heavy-duty dual-mode power-split hybrid electrical vehicle under dynamic condition

被引:0
|
作者
Long, Yang [1 ,2 ]
Ying, Huang [1 ]
Colin, Guillaume [2 ]
机构
[1] Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
[2] University of Orleans, Prisme, Orleans, France
关键词
Electric machine control - Fuel economy - Hybrid systems - Hybrid vehicles - Loading - Speed;
D O I
10.1504/ijpt.2021.120309
中图分类号
学科分类号
摘要
For a heavy-duty vehicle with a dual-mode power-split hybrid system (DMPSHS) and a turbocharged diesel engine, this article proposes a coordination control strategy and an MPC control strategy for engine speed aiming at reducing fuel consumption and enhancing vehicle dynamics during dynamic condition. The core concept of this control strategy is to use motor torque to design a proper loading method of the engine under dynamic condition. An MPC controller was then designed to enhance the engine dynamic working condition. Simulation of the coordination control strategy was accomplished. The results indicate that the control of the motor loading method has a significant effect on engine dynamic response, and proper control of the motor torque including torque delay and slope control can optimise the engine dynamic adjustment and fuel economy. Based on the motor loading method, an MPC controller for engine speed can further improve the engine dynamic working condition. Copyright © 2021 Inderscience Enterprises Ltd.
引用
收藏
页码:247 / 265
相关论文
共 50 条
  • [41] Power bus control for series hybrid heavy-duty vehicles
    Halme, Jukka
    Liukkonen, Matti
    Heiska, Matti
    Suomela, Jussi
    World Electric Vehicle Journal, 2009, 3 (01):
  • [42] Mode transition coordinated control for a compound power-split hybrid car
    Wang, Chen
    Zhao, Zhiguo
    Zhang, Tong
    Li, Mengna
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 87 : 192 - 205
  • [43] Mode Transition Control of a Power-Split Hybrid Electric Vehicle Based on Improved Extended State Observer
    Chen, Long
    Wang, Jiajia
    Cai, Yingfeng
    Shi, Dehua
    Wang, Ruochen
    IEEE ACCESS, 2020, 8 (08): : 207260 - 207274
  • [44] Predictive-model-based dynamic coordination control strategy for power-split hybrid electric bus
    Zeng Xiaohua
    Yang Nannan
    Wang Junnian
    Song Dafeng
    Zhang Nong
    Shang Mingli
    Liu Jianxin
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2015, 60-61 : 785 - 798
  • [45] Modelling and control of a two-mode power-split hybrid powertrain
    He, Wei
    Xiang, Changle
    Zhang, Donghao
    Ma, Yue
    INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES, 2015, 7 (02) : 139 - 158
  • [46] Dynamic Analysis and Multivariable Transient Control of the Power-Split Hybrid Powertrain
    Wang, Yu
    Sun, Zongxuan
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (06) : 3085 - 3097
  • [47] Research on Fuel Economy Aimed Coordination Control Strategy for the Dual-mode Hybrid System under Dynamic Conditions
    Zhao, Yu
    Zhao, Changlu
    Huang, Ying
    Yang, Long
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017), 2017, 134 : 19 - 26
  • [48] Energy management of a dual-mode power-split powertrain based on the Pontryagin's minimum principle
    Ahmadizadeh, Pouyan
    Mashadi, Behrooz
    Lodaya, Dhaval
    IET INTELLIGENT TRANSPORT SYSTEMS, 2017, 11 (09) : 561 - 571
  • [49] Multivariable predictive functional control of a compound power-split hybrid electric vehicle
    Gao, Ji
    Lou, Diming
    Zhang, Tong
    Fang, Liang
    Zhang, Yunhua
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2022, 236 (08) : 1775 - 1794
  • [50] A control-oriented simulation model of a power-split hybrid electric vehicle
    Cipek, Mihael
    Pavkovic, Danijel
    Petric, Josko
    APPLIED ENERGY, 2013, 101 : 121 - 133