期刊文献+

锂离子电池及其在线检测前沿与发展综述 被引量:6

Review of lithium ion battery and its online testing technologies
下载PDF
导出
摘要 随着新能源的发展,电池成为了能源方向的热点,锂离子电池在这个过程中渐渐的成为主流。锂离子电池因体积小、比能量大、放电率低、寿命长而倍受青睐,但其在过充、过放或者高温、低温等条件下却会产生不可挽回的损害。目前,对于锂离子电池的在线检测技术是一个非常热门的话题,主要对现有的锂离子电池及其在线检测技术做出相关总结,并对其未来的发展进行相关分析。 With the development of new energy,batteries gradually turn into hot spot in the energy field,and lithium ion batteries become a mainstream in this process.Lithium ion battery has the advantages of small volume,large energy density,low discharge rate and longe lifetime,so that it is very exciting and popular.But when it under the condition that over charge,over discharge,hyperthermia and hypothermia will cause invocatable damage.At present,the lithium ion battery online testing is a hot topic.In this paper,the existing lithium ion battery and online testing technology are summarized,and the future tendency is discussed.
作者 杨冬进 娄建安 YANG Dong-jin;LOU Jian-an(Ordnance Engineering College,Shijiazhuang Hebei 050003,China)
机构地区 军械工程学院
出处 《电源技术》 CAS CSCD 北大核心 2018年第9期1402-1403,1419,共3页 Chinese Journal of Power Sources
关键词 锂离子电池 在线检测 前沿动态 发展 lithium ion battery online testing frontier dynamic development
  • 相关文献

参考文献1

二级参考文献8

  • 1陈全世,林成涛.电动汽车用电池性能模型研究综述[J].汽车技术,2005(3):1-5. 被引量:85
  • 2Piller S, Jassen M. Methods for state of charge determi- nation and their applications [ J ]. Journal of Power Sources. 2001 . 96( 1 ) :113 - 120.
  • 3Plett G. Extended Kalman filtering for battery manage-ment systems of LiPB-based HEV battery packs [ J ]. Jour- nal of Power Sources, 2004,134( 2 ) :252- 292.
  • 4Shi Pu, Zhao Yiwen. Application of unscented Kalman filter in the SOC estimation of Li-ion battery for autono- mous mobile robot [ C]//IEEE International Conference on Information Acquisition. Weihai, China, 2006:1279 - 1283.
  • 5Chen Min, Gabrel A. Accurate electrical battery model capable of predicting runtime and I-V performance [ J ]. IEEE Transactions on Energy Conversion, 2006,21 ( 2 ) : 504 - 511.
  • 6Kim II-S. The novel state of charge estimation method for Lithium battery using sliding mode observer [ Jl. Journal of Power Sources, 2006,163 ( 1 ) : 58d - 590.
  • 7Wacot B L, Zak S H. State observation of nonlineal un- certain dynamical systems [ J ]. IEEE Transactions on Au- tomatic Control, 1987, 32(2) : 165 - 170.
  • 8王军平,曹秉刚,陈全世.基于自适应滤波的电动汽车动力电池荷电状态估计方法[J].机械工程学报,2008,44(5):76-79. 被引量:14

共引文献5

同被引文献34

引证文献6

二级引证文献7

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