Version 1.0

Apparent Aging vs. True Aging: Impact of Various Load Characteristics on Accelerated Aging Tests - Cycle Aging Data

Schreiber, Markus;Lin, Yilei;Sommer, Alessandro;Wassiliadis, Nikolaos;Morales Torricos, Pablo;Rogge, Marcel;Lewerenz, Meinert;Grosu, Cristina;Endisch, Christian;Jossen, Andreas;Lienkamp, Markus

Description

This dataset contains cycle aging data from Samsung 35E battery cells (NCA|Si-Gr, 18650) subjected to four different usage patterns, as well as measurements of the cell conditions after 15 months of rest. Please refer to the linked article for cell and measurement specifications. All measurements are provided as .mat files.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.2

FAIR Score

46%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Technical University of Munich

Assigned Domain

Subfield

Neuropsychology and Physiological Psychology

Field

Psychology

Domain

Social Sciences

Confidence Score

55%

Source

Scholar Data Model

Keywords

Accelerated AgingAging CharacterizationCapacity RecoveryCell RelaxationReversible DegradationReal-world Driving CyclesSOH

Normalization Factors

FT

63.46

CTw

1.00

MTw

1.00