欢迎访问机床与液压官方网站!

咨询热线:020-32385312 32385313 RSS EMAIL-ALERT
基于复合电液式的大惯量回转机构制动能量回收研究
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

河南省“三区人才支持”项目(51000559)


Research on Braking Energy Recovery of Large Inertia Rotary Mechanism Based on Compound Electro-hydraulic
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对工程机械大惯量回转机构制动过程中的能量损耗问题,考虑满载制动与空载制动两种工况,引入高低压蓄能器并结合超级电容能量密度大的特点,提出一种复合电液式能量回收思路,设计了系统工作原理图和控制策略流程图,对回收单元的重要元件进行参数匹配,利用AMESim软件仿真分析。结果表明:复合电液式回收系统在各阶段的回转特性与原系统基本一致,在一个标准循环中流量利用率和能量利用率可达75.59%和67.43%,有效降低了回转马达的压力波动,节能效果良好,为进一步研究工程机械节能技术提供参考。

    Abstract:

    Aiming at the problem of energy loss in the braking process of the large inertia slewing mechanism of construction machinery,considering the two working conditions of full-load braking and no-load braking,the introduction of high and low pressure accumulators combined with the high power density of the accumulator and the high energy density of the super capacitor characteristics,a composite electro-hydraulic energy recovery system is proposed,the principle of the system is analyzed,the parameters of the important components of the recovery unit are matched,and the AMESim software is used for simulation analysis.The results show that the rotation characteristics of the composite electro-hydraulic recovery system at each stage are basically the same as the original system.The flow rate and energy utilization rate can reach 75.59% and 67.43% in a standard cycle,which effectively reduces the pressure fluctuation of the rotary motor.The energy-saving effect is good,which provides a reference for further research on energy-saving technology of construction machinery.

    参考文献
    相似文献
    引证文献
引用本文

王天义,田勇,徐凤乾.基于复合电液式的大惯量回转机构制动能量回收研究[J].机床与液压,2022,50(23):99-104.
WANG Tianyi, TIAN Yong, XU Fengqian. Research on Braking Energy Recovery of Large Inertia Rotary Mechanism Based on Compound Electro-hydraulic[J]. Machine Tool & Hydraulics,2022,50(23):99-104

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-01-17
  • 出版日期: 2022-12-15