Screening defective lithium ion batteries of 0 V open-circuit voltage by a high current charge process in combination with in situ infrared thermal imaging technology

2011 ◽  
Vol 16 (2) ◽  
pp. 597-602 ◽  
Author(s):  
Jiyuan Duan ◽  
Biwen Wei ◽  
Rongjing Yang ◽  
Chunhao Cai ◽  
Jiazhen Pan
Author(s):  
Yuhao Huang ◽  
Yan Su ◽  
Akhil Garg

Abstract A new process decomposed calculation method is developed to compare the cycle based charge, discharge, net, and overall energy efficiencies of lithium-ion batteries. Multi-cycle measurements for both constant current (CC) and constant current to constant voltage (CC-CV) charge models have been performed. Unlike most conventional efficiency calculation methods with one mean open-circuit voltage (OCV) curve, two OCV curves are calculated separately for the charge and discharge processes. These two OCV curves help to clarify the intra-cycle charge, discharge, net, and overall energy efficiencies. The relationships of efficiencies versus state of charge, state of quantity, and scaled stresses are demonstrated. Efficiency degradation patterns versus cycle numbers and scaled stresses are also illustrated with the artificial neural network (ANN) prediction method. The decaying ratios of the overall efficiencies are about 2% and 0.3% in the first 30 cycles, for CC and CC-CV, respectively. Hence, efficiencies of the CC-CV model are more stable compared with the CC model, which are shown by both experimental and ANN prediction results.


2016 ◽  
Vol 183 ◽  
pp. 513-525 ◽  
Author(s):  
Fangdan Zheng ◽  
Yinjiao Xing ◽  
Jiuchun Jiang ◽  
Bingxiang Sun ◽  
Jonghoon Kim ◽  
...  

2017 ◽  
Vol 255 ◽  
pp. 83-91 ◽  
Author(s):  
Yingzhi Cui ◽  
Jie Yang ◽  
Chunyu Du ◽  
Pengjian Zuo ◽  
Yunzhi Gao ◽  
...  

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