Starting control of P2.5 plugHin hybrid configuration dualHclutch based on driver's intention recognition

被引:0
|
作者
Luo, Yong [1 ,2 ,3 ]
Wei, Yong-Heng [2 ]
Huang, Huan [2 ]
Xiao, Ren-Jie [2 ]
Ren, Lin [2 ]
Cui, Huan-Yu [3 ]
机构
[1] State Key Laboratory of Vehicle NVH and Safety Control, China Automotive Engineering Research Institute Co., Ltd., Chongqing,401122, China
[2] Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Chongqing University of Technology, Chongqing,400054, China
[3] Department of Technology, Chongqing Tsingshan Industrial Co., Ltd., Chongqing,402761, China
来源
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2021年 / 51卷 / 05期
关键词
Plug-in hybrid vehicles - Fuzzy control - Balancing - Vehicle transmissions;
D O I
暂无
中图分类号
学科分类号
摘要
During the starting process of single clutch, the temperature rise of clutch plate is obvious and the sliding friction power is uneven, which seriously affects the service life of DCT. Based on the configuration of P2.5 plug-in hybrid electric vehicle equipped with DCT, combined with the starting dynamics analysis and considering the driver's starting intention, a starting strategy based on multi-layer fuzzy control is proposed. The driver's starting intention is identified according to the accelerator pedal opening and its change rate, and the clutch combination oil pressure is deduced according to the starting intention to control the transmission torque, at the same time, the clutch separation threshold is judged according to the driver's starting intention. The results show that: compared with single clutch starting, the starting time can be shortened by 12.6% and the impact degree can be reduced by 14.0% while effectively balancing the sliding work of the two clutches. © 2021, Jilin University Press. All right reserved.
引用
收藏
页码:1575 / 1582
相关论文
共 35 条
  • [1] Research on drivability control in P2.5 hybrid system
    Jing, Junchao
    Liu, Yiqiang
    Wu, Jie
    Huang, Weishan
    Zuo, Botao
    Yang, Guikang
    ENERGY REPORTS, 2021, 7 : 1582 - 1593
  • [2] Research on Voltage Control of P2.5 Hybrid System
    Jing, Junchao
    Liu, Yiqiang
    Huang, Weishan
    2020 3RD INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION ENGINEERING (RCAE 2020), 2020, : 84 - 89
  • [3] Research on vehicle mode control in P2.5 hybrid system
    Liu, Yiqiang
    Jing, Junchao
    Jie, Wu
    Wang, Yongjian
    Huang, Weishan
    Yu, Xuemei
    ENERGY REPORTS, 2021, 7 : 72 - 85
  • [4] Optimal control strategy for vehicle starting coordination based on driver intention recognition
    Shang, Xianhe
    Zhang, Fujun
    Zhang, Zhenyu
    Cui, Tao
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2024,
  • [5] Research on Control of Engine Start and Stop in P2.5 Hybrid System
    Jing, Junchao
    Zhao, Fucheng
    Liu, Yiqiang
    Huang, Weishan
    2021 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL AND ROBOTICS (ICCCR 2021), 2021, : 161 - 172
  • [6] Research on energy management based on SOC in P2.5 hybrid vehicles
    Jing, Junchao
    Liu, Yiqiang
    Wujie
    Wang, Yongjian
    Huang, Weishan
    ENERGY REPORTS, 2021, 7 : 1612 - 1621
  • [7] VEHICLE STABILITY CONTROL BASED ON DRIVER'S EMERGENCY ALIGNMENT INTENTION RECOGNITION
    Xia Xin
    Xiong Lu
    Hou Yuye
    Teng Guowen
    Yu Zhuoping
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2017, 18 (06) : 993 - 1006
  • [8] Vehicle stability control based on driver’s emergency alignment intention recognition
    Xia Xin
    Xiong Lu
    Hou Yuye
    Teng Guowen
    Yu Zhuoping
    International Journal of Automotive Technology, 2017, 18 : 993 - 1006
  • [9] Control Strategy for Electric Startup of P2.5-PHEV Based on Slope Memory and Driver's Startup Intention
    Luo, Yong
    Wei, Yongheng
    Kan, Yingzhe
    Ren, Lin
    Xu, Liji
    Shen, Futao
    Chen, Guofang
    IEEE ACCESS, 2021, 9 (09): : 77044 - 77057
  • [10] Control of Changed Single Motor Torque Output Path Transition in P2.5 Hybrid System
    Jing, Junchao
    Liu, Yiqiang
    Huang, Weishan
    Wu, Jie
    Zuo, Botao
    2020 3RD INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTS (ICCR 2020), 2020, : 191 - 198