华南理工大学学报(自然科学版) ›› 2015, Vol. 43 ›› Issue (12): 63-70.doi: 10.3969/j.issn.1000-565X.2015.12.009

• 动力与电气工程 • 上一篇    下一篇

混合动力设备蓄电池剩余容量估计方法

冯志君 周德俭   

  1. 西安电子科技大学 机电工程学院,陕西 西安 710071
  • 收稿日期:2015-02-11 修回日期:2015-06-27 出版日期:2015-12-25 发布日期:2015-11-01
  • 通信作者: 冯志君(1968-),女,在职博士生,副教授,主要从事混合动力技术研究. E-mail: fzjwywmz@163.com
  • 作者简介:冯志君(1968-),女,在职博士生,副教授,主要从事混合动力技术研究.
  • 基金资助:
    国家十二五科技支撑计划项目(2012BAF12B18);广西科技开发计划资助项目(桂科攻 1348014-2)

Estimation Method of Residual Capacity of Battery in Hybrid Devices

Feng Zhi-jun Zhou De-jian   

  1. School of Mechano-Electronic Engineering,Xidian University,Xi'an 710071,Shaanxi,China
  • Received:2015-02-11 Revised:2015-06-27 Online:2015-12-25 Published:2015-11-01
  • Contact: 冯志君(1968-),女,在职博士生,副教授,主要从事混合动力技术研究. E-mail: fzjwywmz@163.com
  • About author:冯志君(1968-),女,在职博士生,副教授,主要从事混合动力技术研究.
  • Supported by:
    Supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China during the“12th Five-Year Plan”(2012BAF12B18)

摘要: 给出了变电流蓄电池剩余容量的定义及实际工况下的修正公式. 将并联式混合动力挖掘机蓄电池的功率变动曲线按比例缩小至单节蓄电池允许的范围内,并作为测试蓄电池的输入信号,获得蓄电池剩余容量数据样本,对其进行多种灰预测算法分析,在此基础上提出充电阶段采用累加 - 均值算子的灰预测直接建模,放电阶段采用变权弱缓冲灰预测的分段预测方案. 结果表明,文中所提方法能够全面有效地提高混合动力设备蓄电池剩余容量估计精度.

关键词: 混合动力, 剩余容量, 灰预测, 变权弱缓冲, 估计精度

Abstract: First,a definition of the residual capacity of the battery with variable current and its modified formula under the actual working condition are proposed in this paper. Next,the power curve of the battery of a parallel hybrid excavator is scaled down to the range of a single battery,and the scaled curve is taken as the input signals of the tested battery. Then,the data samples of the residual capacity are obtained from the input signals,and they are analyzed by using several grey prediction algorithms. On this basis,a fragmentation prediction scheme is proposed,which adopts the direct grey prediction model of the cumulative-average operator at the charge stage and the grey prediction model of the variable weight buffer factor at the discharge stage. The results show that the proposed method can fully and effectively improve the accuracy of estimating the residual capacity of the battery in hybrid devices.

Key words: hybrid power, residual capacity, grey prediction, variable weight buffer, estimation accuracy

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