Capacity and power fading mechanism identification from a commercial cell evaluation

By Matthieu Dubarry, V. Svoboda, R. Hwu, Bor Yann Liaw. 2007

152 citations recorded by the source corpus.

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Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019, methodology): “1 IC/DV analysis IC/DV analysis provides a non-destructive means of characterization of cells and has been widely used for ageing mechanism identification [47,48].”
Practical Capacity Fading Model for Li-Ion Battery Cells in Electric Vehicles (2013, background): “cycling profile use a dynamic profile with varying C-rate levels [9], [16].”
Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes (2015, unknown): “There have been substantial efforts to conduct experimental campaigns to understand the influence of different stress factors on battery aging for various cathode materials: LiCoO2 (LCO) [24,25], LiNiO (LNO) [24], Li(Ni,Co)O2 (NCO) [26e29], Li(Ni,Co,Al)O2 (NCA) [30,25,31,32], LiFePO4 (LFP) [2,14,32]”
Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality (2018, background): “Generally, the cycle life of an ESS indicates the number of cycling times with allowable capacity fading of lower than 80% of its nominal value [96,97].”