State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression

Energy ◽  
2020 ◽  
Vol 203 ◽  
pp. 117852 ◽  
Author(s):  
Xiaoyu Li ◽  
Changgui Yuan ◽  
Zhenpo Wang
2019 ◽  
Vol 68 (9) ◽  
pp. 8583-8592 ◽  
Author(s):  
Xuning Feng ◽  
Caihao Weng ◽  
Xiangming He ◽  
Xuebing Han ◽  
Languang Lu ◽  
...  

Batteries ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 2
Author(s):  
Amelie Krupp ◽  
Ernst Ferg ◽  
Frank Schuldt ◽  
Karen Derendorf ◽  
Carsten Agert

Incremental capacity analysis (ICA) has proven to be an effective tool for determining the state of health (SOH) of Li-ion cells under laboratory conditions. This paper deals with an outstanding challenge of applying ICA in practice: the evaluation of battery series connections. The study uses experimental aging and characterization data of lithium iron phosphate (LFP) cells down to 53% SOH. The evaluability of battery series connections using ICA is confirmed by analytical and experimental considerations for cells of the same SOH. For cells of different SOH, a method for identifying non-uniform aging states on the modules’ IC curve is presented. The findings enable the classification of battery modules with series and parallel connections based on partial terminal data.


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