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@ARTICLE{Johnen:891994,
author = {Johnen, Marcus and Pitzen, Simon and Kamps, Udo and Kateri,
Maria and Dechent, Philipp and Sauer, Dirk Uwe},
title = {{M}odeling long-term capacity degradation of lithium-ion
batteries},
journal = {Journal of energy storage},
volume = {34},
issn = {2352-152X},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2021-01866},
pages = {102011 -},
year = {2021},
abstract = {Capacity degradation of lithium-ion batteries under
long-term cyclic aging is modeled via a flexible
sigmoidal-type regression set-up, where the regression
parameters can be interpreted. Different approaches known
from the literature are discussed and compared with the new
proposal. Statistical procedures, such as parameter
estimation, confidence and prediction intervals are
presented and applied to real data. The long-term capacity
degradation model may be applied in second-life scenarios of
batteries. Using some prior information or training data on
the complete degradation path, the model can be fitted
satisfactorily even if only short-term degradation data is
available. The training data may arise from a single
battery.},
cin = {IEK-12},
ddc = {333.7},
cid = {I:(DE-Juel1)IEK-12-20141217},
pnm = {122 - Elektrochemische Energiespeicherung (POF4-122)},
pid = {G:(DE-HGF)POF4-122},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000613315900005},
doi = {10.1016/j.est.2020.102011},
url = {https://juser.fz-juelich.de/record/891994},
}