期刊文献+

基于锂电池SOC的运载火箭供电能源冗余管理研究

Research on Power Supply Redundancy Management of Launch Vehicle Based on Lithium Battery SOC
下载PDF
导出
摘要 目前,在运载火箭领域,给箭上控制系统、测量系统和电磁阀火工品负载各提供一块电池供电,电池故障会导致箭上电气系统工作异常,严重时甚至导致任务失败等灾难性后果;锂电池具有高能储存密度、使用寿命长等优点,正在取代传统锌银电池应用于运载领域;针对运载火箭领域电池电源无冗余的问题,对锂电池故障诊断进行研究;根据锂离子单体电池SOC估算结果作为电池故障诊断的依据;采用EKF算法提高锂离子单体电池SOC估算的精度;根据故障诊断结果通过电池组拓扑重构完成故障单体电池智能切换,建立了运载火箭供电能源冗余管理系统;经仿真测试满足工程应用要求,提高了运载火箭领域电池的可靠性、安全性与容错能力,对提高运载火箭可靠性安全性有重大意义。 Currently,the launch vehicle provides one battery pack to each of them to supply power for the control system,measurement system,electromagnetic valve and explosive device load.Battery pack failure will lead to the abnormal operation of the electrical system on the launch vehicle,and even lead to disastrous consequences such as mission failure in severe cases.Lithium battery pack is replacing traditional zinc-silver battery pack in launch vehicle fields,which has the advantages of high-energy storage density and long performance life.Aiming at the problem of no redundancy in battery power supply in launch vehicle fields,the fault diagnosis of lithium battery is studied.The estimated results of lithium battery state of change(SOC)are used as the basis of battery fault diagnosis.The extended kalman filter(EKF)algorithm is used to improve the estimation accuracy of lithium-ion battery SOC;According to the fault diagnosis results,the intelligent switching of the failed single battery is completed through the topology reconfiguration of the battery pack,and the power supply redundant management system of launch vehicle is established.The simulation test meets the requirements of engineering application,and improves the reliability,safety and fault tolerance of the battery,which is of great significance for improving the reliability and safety of the launch vehicle.
作者 汪灏 沈川杰 周恒保 王雨果 高飞 徐昕 WANG Hao;SHEN Chuanjie;ZHOU Hengbao;WANG Yuguo;GAO Fei;XU Xin(Shanghai Institute of Aerospace System Engineering,Shanghai 201100,China;Shanghai Institute of Space Power-sources,Shanghai 201100,China;Shanghai Institute of Aerospace Computer Technology,Shanghai 201100,China;School of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
出处 《计算机测量与控制》 2022年第8期204-210,共7页 Computer Measurement &Control
关键词 运载火箭 锂电池 SOC估算 故障诊断 冗余管理 launch vehicle lithium battery SOC estimation fault diagnosis redundant management
  • 相关文献

参考文献7

二级参考文献146

  • 1刘文杰,齐国光.基于模糊理论的电池故障诊断专家系统[J].吉林大学学报(信息科学版),2005,23(6):670-674. 被引量:14
  • 2安晓雨,谭玲生.空间飞行器用锂离子蓄电池储能电源的研究进展[J].电源技术,2006,30(1):70-73. 被引量:21
  • 3戴海峰,魏学哲,孙泽昌.基于扩展卡尔曼滤波算法的燃料电池车用锂离子动力电池荷电状态估计[J].机械工程学报,2007,43(2):92-95. 被引量:45
  • 4谭维炽,胡金刚.航天器系统工程[M].北京:科学技术出版社,2009.
  • 5LU L, HAN X, LI J, et al. A review on the key issues for lithium-ion battery management in electric vehicles [ J ]. Journal of Power Sources, 2013, 226: 272-288.
  • 6STUART T, FANG F, WANG X, et al. A modular bat- tery management system for HEVs [ C~. In Proceedings of the SAE Future Car Congress, Arlington, VA, USA, 2002 : 1-9.
  • 7GOEBEL K, SAHA B, SAXENA A, et al. Christophers- en prognostics in battery health management [ J ]. IEEE Instrumentation and Measurement Magazine, 2008, 11 (4) : 33-40.
  • 8WILLIARD N, HE W, HENDRICKS C, et al. Lessons learned from the 787 dreamliner issue on lithium-ion bat- tery reliability[ J]. Energies, 2013, 6 (9) : 4682-4695.
  • 9JOHNSON S B, GORMLEY T J, KESSLER S S, et al. sys- tem health management with aerospaoce applications [ M ]. United Kingdom: John Wiley & Sons, Ltd, West Sussex, 2011.
  • 10ZHANG J, LEE J. A review on prognostics and health monitoring of Li-ion battery [ J ]. Journal of Power Sources, 2011, 196 (15) : 6007-6014.

共引文献241

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部