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Classifying Aged Li-Ion Cells from Notebook Batteries
A dataset consisting of 90 lithium-ion cells obtained from old notebook batteries containing their response to 100 charge–discharge cycles is presented. The resulting degradation patterns are assigned to four clusters and related to possible aging mechanisms. The records in the battery management system (BMS) of each battery are analyzed to understand the influence of first life conditions in the measured degradation patterns. The analysis reveals that a cluster of cells which experienceddoi:10.14279/depositonce-10329 fatcat:5qwvnbi7wvb5jdsix437hs3dba