The control strategy of optimal brake energy recovery for a parallel hydraulic hybrid vehicle

被引:27
|
作者
Zhang, Zhongliang [1 ]
Chen, Jie [1 ]
Wu, Bofu [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
关键词
Hydraulic hybrid powertrain; brake energy recovery; distributive model; shifting schedule; OPTIMIZATION;
D O I
10.1177/0954407012445977
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The purpose of this paper is to develop a control strategy of optimal brake energy recovery for a parallel hydraulic hybrid vehicle, in which the shifting schedule of the torque coupler and the distribution of the braking force are the most important impact factors based on a detailed study of braking characteristics. The two implementable schemes are compared to achieve a better shifting schedule for the torque coupler. An optimal distributive curve and the corresponding models of braking forces are also established, which not only avoids the situation of rear wheels locking earlier than front wheels but also determines the distributive ratio of the braking forces in each case. The simulation models of the vehicle are developed on the basis of the software, Advisor 2002, which is validated by the road tests. The simulation results indicate that 42.7% of the brake energy can be recaptured in the hydraulic hybrid vehicle, whereas 41.6% of the traction energy is wasted in the braking of a conventional vehicle. Therefore, the control strategy of optimal energy recovery is very effective in improving the efficiency of brake energy recovery in the hydraulic hybrid vehicle.
引用
收藏
页码:1445 / 1453
页数:9
相关论文
共 50 条
  • [21] Energy management strategy design and fuel consumption analysis for a parallel hydraulic hybrid vehicle
    Zhou, Shilei
    Walker, Paul
    Yang, Weiwei
    Nguyen, Cong Thanh
    Zhang, Nong
    [J]. INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2024, 31 (02) : 187 - 209
  • [22] Optimal Energy Management Strategy Design for a Diesel Parallel Hybrid Electric Vehicle
    Zhuang, Weichao
    Wang, Liangmo
    Yin, Zhaoping
    Ye, Jin
    Wu, Haixiao
    [J]. 11TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2014, : 1050 - 1055
  • [23] Effect of Optimal Energy Management Strategy on Parallel Hybrid Electric Vehicle Performances
    Ben Ali, Marwa
    Boukettaya, Ghada
    [J]. 2021 18TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2021, : 1099 - 1106
  • [24] Optimal control strategy based on PSO for powertrain of parallel hybrid electric vehicle
    Huang, Miaohua
    Yu, Houyu
    [J]. PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, 2006, : 352 - +
  • [25] Research on the system configuration and energy control strategy for parallel hydraulic hybrid loader
    Sun Hui
    Jing Junqing
    [J]. AUTOMATION IN CONSTRUCTION, 2010, 19 (02) : 213 - 220
  • [26] Implementation of an optimal control strategy for a hydraulic hybrid vehicle using CMAC and RBF networks
    Taghavipour, A.
    Foumani, M. S.
    Boroushaki, M.
    [J]. SCIENTIA IRANICA, 2012, 19 (02) : 327 - 334
  • [27] An intelligent control strategy in a parallel hybrid vehicle
    Abdollahi, A. D.
    [J]. 2006 IEEE CONFERENCE ON ELECTRIC & HYBRID VEHICLES, 2006, : 1 - 8
  • [28] Study on control strategy for parallel hybrid hydraulic excavators
    Feng, Zhi-Jun
    Zhou, De-Jian
    [J]. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2013, 33 (10): : 1037 - 1039
  • [29] OPTIMAL TORQUE CONTROL STRATEGY FOR PARALLEL HYBRID ELECTRIC VEHICLE WITH AUTOMATIC MECHANICAL TRANSMISSION
    GU Yanchun YIN Chengliang ZHANG Jianwu School of Mechanical Engineering
    [J]. Chinese Journal of Mechanical Engineering, 2007, (01) : 16 - 20
  • [30] Research on Control Strategy for Energy-Saving Optimization Algorithm of the Hydraulic Hybrid Vehicle
    Chen, Yanli
    Liu, Shun'an
    Shang, Tao
    Liu, Jialin
    Zhang, Yuankun
    Xie, Dantong
    [J]. ADVANCED MANUFACTURING SYSTEMS, PTS 1-3, 2011, 201-203 : 2229 - 2237