TY  - JOUR
AU  - Johnen, Marcus
AU  - Pitzen, Simon
AU  - Kamps, Udo
AU  - Kateri, Maria
AU  - Dechent, Philipp
AU  - Sauer, Dirk Uwe
TI  - Modeling long-term capacity degradation of lithium-ion batteries
JO  - Journal of energy storage
VL  - 34
SN  - 2352-152X
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - FZJ-2021-01866
SP  - 102011 -
PY  - 2021
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000613315900005
DO  - DOI:10.1016/j.est.2020.102011
UR  - https://juser.fz-juelich.de/record/891994
ER  -