A double variable control load sensing system for electric hydraulic excavator
Tianliang Lin,
Yuanzheng Lin,
Haoling Ren,
Haibin Chen,
Zhongshen Li and
Qihuai Chen
Energy, 2021, vol. 223, issue C
Abstract:
Traditional electric excavator only uses the electric machine to replace the engine and simulate its original working mode, which will not give full play to the advantages of the electric drive technology and result in poor control performance as well as low energy efficiency. In this paper, a load sensing system based on displacement adaptive and variable speed control is proposed for electric excavator to extend the flow matching range of power train system and satisfy the flow demand under different load conditions. Furthermore, a novel control strategy based on the hierarchical differential pressure control is studied. Through the control strategy, the novel load sensing system can adjust the load sensing pressure difference in stages without mutual interference, so as to maintain the power train system operation in high efficiency area, and reduce the energy loss of the valve. To verify the feasibility of the system and control strategy, the simulations and experimental test are carried out. The results show that the system and control strategy can improve the control performance effectively. The energy consumption can be also decreased by 19%–70%.
Keywords: Energy saving; Pure electric drive; Construction machinery; Excavator; Load sensing (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221002486
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:223:y:2021:i:c:s0360544221002486
DOI: 10.1016/j.energy.2021.119999
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().