An energy saving rule-based strategy for electric-hydraulic hybrid wheel loaders

被引:3
|
作者
Wang, Feng [1 ]
Wen, Qunya [1 ]
Xu, Bing [1 ]
机构
[1] Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power Components & Mechatron S, Hangzhou, Zhejiang, Peoples R China
关键词
Parallel electric-hydraulic hybrid powertrain; rule-based strategy; energy saving; efficiency analysis based; dynamic programing; MANAGEMENT STRATEGIES; POWERTRAIN; VEHICLES;
D O I
10.1177/09544070231191843
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Recently, hybrid electric vehicles are getting popular as they are both clean and efficient. As one of the hybrid electric powertrains, the battery powered parallel electric-hydraulic hybrid powertrain (PEHHP) is zero emission and has better drive performance. But the energy use of the PEHHP highly depends on the control strategy. A proper energy management strategy is critical for torque distribution and hybrid powertrain efficiency improvement. In this paper, a real-time rule-based strategy is proposed to determine the torque distributions of the PEHHP. The proposed rule-based strategy is based on the component efficiency analysis. And it optimizes the electric motor operating points. Experiments are conducted to show the operation results of the parallel electric-hydraulic hybrid wheel loaders. The powertrain energy use of the proposed rule-based strategy is close to that of the global optimal dynamic programing strategy, with energy use gaps of 2.99%, and 6.10% in simulation and experiment respectively.
引用
收藏
页码:4081 / 4092
页数:12
相关论文
共 50 条
  • [41] Rule-Based Energy Management Strategy for a Power-Split Hybrid Electric Vehicle with LSTM Network Prediction Model
    Jamali, Helia
    Wang, Yue
    Yang, Yuhang
    Habibi, Saeid
    Emadi, Ali
    2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2021, : 1447 - 1453
  • [42] Optimal Control based Calibration of Rule-Based Energy Management for Parallel Hybrid Electric Vehicles
    Goerke, Daniel
    Bargende, Michael
    Keller, Uwe
    Ruzicka, Norbert
    Schmiedler, Stefan
    SAE INTERNATIONAL JOURNAL OF ALTERNATIVE POWERTRAINS, 2015, 4 (01) : 178 - 189
  • [43] Research on Control Strategy of Electric-Hydraulic Hybrid Anti-Lock Braking System of an Electric Passenger Car
    Zhang, Zhongshi
    Zhang, Junzhi
    Sun, Dongsheng
    Lv, Chen
    2015 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2015, : 419 - 424
  • [44] Comparative analysis on the rule-based control strategy of two typical hybrid electric vehicle powertrain
    Wu, Jingda
    Peng, Jiankun
    He, Hongwen
    Luo, Jiayi
    CLEAN ENERGY FOR CLEAN CITY: CUE 2016 - APPLIED ENERGY SYMPOSIUM AND FORUM: LOW-CARBON CITIES AND URBAN ENERGY SYSTEMS, 2016, 104 : 384 - 389
  • [45] Parameter optimization of rule-based control strategy for multi-mode hybrid electric vehicle
    Du, Wei
    Zhao, Shengdun
    Jin, Liying
    Gao, Jinzhou
    Li, Hao
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2020, 234 (10-11) : 2706 - 2716
  • [46] A feasibility study of an electric-hydraulic hybrid powertrain for passenger vehicles
    Honey, Emilio
    Suh, In-Soo
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2015, 229 (14) : 1894 - 1906
  • [47] Rule-Based Operation Mode Control Strategy for the Energy Management of a Fuel Cell Electric Vehicle
    Uralde, Jokin
    Barambones, Oscar
    del Rio, Asier
    Calvo, Isidro
    Artetxe, Eneko
    BATTERIES-BASEL, 2024, 10 (06):
  • [48] Rule-based energy management strategies for hybrid vehicles
    Hofman, Theo
    Steinbuch, Maarten
    van Druten, Roell
    Serrarens, Alex
    INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES, 2007, 1 (01) : 71 - 94
  • [49] Simulation Analysis on the Rule-based Energy Management of a Power-split Hybrid Electric Vehicle
    Wei, Dong
    He, Hongwen
    Wu, Jingda
    JOINT INTERNATIONAL CONFERENCE ON ENERGY, ECOLOGY AND ENVIRONMENT ICEEE 2018 AND ELECTRIC AND INTELLIGENT VEHICLES ICEIV 2018, 2018,
  • [50] Powertrain parameters and control strategy optimization of a novel master-slave electric-hydraulic hybrid vehicle
    Jia, Qingxiao
    Zhang, Caihong
    Zhang, Hongxin
    Zhang, Zhen
    Chen, Hao
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (04) : 11752 - 11773