Health Monitoring of Li-Ion Battery Systems: A Median Expectation Diagnosis Approach (MEDA)

2015 ◽  
Vol 1 (1) ◽  
pp. 94-105 ◽  
Author(s):  
Haris M. Khalid ◽  
Qadeer Ahmed ◽  
Jimmy C.-H. Peng
2011 ◽  
Vol 17 (S2) ◽  
pp. 1570-1571
Author(s):  
R Shahbazian-Yassar ◽  
H Ghassemi ◽  
A Asthana ◽  
M Au ◽  
Y Yap

Extended abstract of a paper presented at Microscopy and Microanalysis 2011 in Nashville, Tennessee, USA, August 7–August 11, 2011.


Author(s):  
Lukas Behr ◽  
U. Zimmermann ◽  
S. Trinkert ◽  
T. Kruse ◽  
S. Rees ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Chao Wu ◽  
Chunbo Zhu ◽  
Yunwang Ge ◽  
Yongping Zhao

Li-ion battery has attracted more and more attention as it is a promising storage device which has long service life, higher energy, and power density. However, battery ageing always occurs during operation and leads to performance degradation and system fault which not only causes inconvenience, but also risks serious consequences such as thermal runaway or even explosion. This paper reviews recent research and development of ageing mechanisms of Li-ion batteries to understand the origins and symptoms of Li-ion battery faults. Common ageing factors are covered with their effects and consequences. Through ageing tests, relationship between performance and ageing factors, as well as cross-dependence among factors can be quantified. Summary of recent research about fault diagnosis technology for Li-ion batteries is concluded with their cons and pros. The suggestions on novel fault diagnosis approach and remaining challenges are provided at the end of this paper.


2012 ◽  
Vol 77 ◽  
pp. 111-120 ◽  
Author(s):  
Jae-Seong Yeo ◽  
Tae-Hwan Park ◽  
Min-Hyun Seo ◽  
Jin Miyawaki ◽  
Isao Mochida ◽  
...  

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