A generation step for an electric excavator with a control strategy and verifications of energy consumption

被引:44
|
作者
Yoon, Jong Il [1 ]
Dinh Quang Truong [1 ]
Ahn, Kyoung Kwan [1 ]
机构
[1] Univ Ulsan, Sch Mech Engn, Ulsan 680749, South Korea
关键词
Hydraulic Excavator; Electric Excavator; Electro-Hydraulic Actuator; Control; Saving Energy; HYBRID HYDRAULIC EXCAVATOR;
D O I
10.1007/s12541-013-0099-6
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Nowadays with the high fuel prices, the demands for energy saving and green emission of construction machineries, without sacrifice of the working performance, safety and reliability, especially for hydraulic excavators (HYEXs), have been highly increased. As a result, electro-hydraulic actuator (EHA), which is promoted and successfully applied to automobile industry, is recently introduced to HYEXs. The aim of this paper is to propose a new type of excavator - electric excavator (ELEX) - with energy saving capacity using the EHAs. Each of the hybrid actuators is driven by an electric motor/generator for recovering a potential energy or a kinetic energy at the time of lowering or slewing stoppage of the excavator, especially when it includes loads. A 5-ton class excavator including a conventional boom system (CBS) and a hybrid boom system (HBS) is analyzed, developed as an experimental ELEX (EELEX) with its validation model to evaluate the proposed ELEX. The hardware implementation is also presented in this paper. A control strategy for the 5-ton EELEX is built to operate the machine to follow desired performances. Finally, working efficiency and energy consumption of the proposed excavator are clearly investigated through both simulations and experiments on the EELEX.
引用
收藏
页码:755 / 766
页数:12
相关论文
共 50 条
  • [21] Control strategy analysis of the hydraulic hybrid excavator
    Shen, Wei
    Jiang, Jihai
    Su, Xiaoyu
    Karimi, Hamid Reza
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (02): : 541 - 561
  • [22] Experimental Research on Electric Energy Consumption and Control Method of Electric Vehicle
    Li, Lifu
    Dong, Wanli
    PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING (ICMMCCE 2017), 2017, 141 : 884 - 889
  • [23] Control Map Generation Strategy for Hybrid Electric Vehicles Based on Machine Learning With Energy Optimization
    Kwon, Hyukjoon
    IEEE ACCESS, 2022, 10 : 15163 - 15174
  • [24] Multi-power level control strategy of an electric heating cluster considering new energy consumption
    Yang, Yulong
    Wang, Tiantian
    Chen, Xiang
    Jin, Rong
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (10): : 20 - 30
  • [25] Electric energy recovery system of hydraulic excavator boom
    Lin, T.-L. (ltlkxl@163.com), 1600, Chang'an University (26):
  • [26] Energy Management Strategy Using Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles
    Tao, Fazhan
    Zhu, Longlong
    Ji, Baofeng
    Si, Pengju
    Fu, Zhumu
    SECURITY AND COMMUNICATION NETWORKS, 2020, 2020
  • [27] Composite Pricing Strategy for Energy Storage in Wind Electric Generation
    Kurian, Sony
    Sindhu, T. K.
    Cheriyan, Elizabeth P.
    2015 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2015,
  • [28] Joint Optimization of Control Strategy and Energy Consumption for Energy Harvesting WSAN
    Wang, Zhuwei
    Liu, Zhicheng
    Liu, Lihan
    Fang, Chao
    Li, Meng
    Zhao, Jingcheng
    ENTROPY, 2022, 24 (05)
  • [29] The Energy Management Control Strategy for Electric Vehicle Applications
    Wangsupphaphol, A.
    Idris, N. R. N.
    Jusoh, A.
    Muhamad, N. D.
    Yao, Low Wen
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE & UTILITY EXHIBITION ON GREEN ENERGY FOR SUSTAINABLE DEVELOPMENT (ICUE), 2014,
  • [30] Control Strategy of energy distribution on hybrid electric vehicle
    Wang Zhifu
    Zhang Chengning
    2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 3090 - 3094