On-board state of health estimation of Li-Ion batteries packs using incremental capacity analysis with principal components

Author(s):  
Alexander Kuznietsov ◽  
Tilman Happek ◽  
Frank Landry Tanenkeu Guefack
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.


Author(s):  
Zhimin Xi ◽  
Rong Jing ◽  
Cheol Lee

This paper investigates recent research on battery diagnostics and prognostics especially for Lithium-ion (Li-ion) batteries. Battery diagnostics focuses on battery models and diagnosis algorithms for battery state of charge (SOC) and state of health (SOH) estimation. Battery prognostics elaborates data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH. Readers will learn not only basics but also very recent research developments on battery diagnostics and prognostics.


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