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@ARTICLE{Wang:1037563,
author = {Wang, Zhenya and Danilov, Dmitri and Eichel, Rüdiger-A.
and Notten, Peter H. L.},
title = {{A} facile physics-based model for non-destructive
diagnosis ofbattery degradation},
journal = {Journal of energy storage},
volume = {101},
issn = {2352-152X},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2025-00751},
pages = {113819},
year = {2024},
abstract = {The identification of battery degradation is of significant
importance for estimating the state of health. Loss
oflithium inventory (LLI), loss of active materials of the
negative electrodes (LAMNE), and loss of active materialsof
the positive electrodes (LAMPE) are three main degradation
modes. This paper proposes an advanced modelbased on open
circuit voltage and differential voltage (DV) fitting to
diagnose and quantify the degradationmodes of batteries at
different stages, showing high fidelity. This physics-based
model avoids solving manypartial differential equations and
is not computationally demanding. Using commercial batteries
with NCA/SiCelectrodes as a case study, the LLI, LAMPE, and
LAMNE induced by battery cycling and storage at
varioustemperatures, State-of-Charge, and
charging/discharging rates are systematically identified and
analyzed.},
cin = {IET-1},
ddc = {333.7},
cid = {I:(DE-Juel1)IET-1-20110218},
pnm = {1223 - Batteries in Application (POF4-122)},
pid = {G:(DE-HGF)POF4-1223},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001319122100001},
doi = {10.1016/j.est.2024.113819},
url = {https://juser.fz-juelich.de/record/1037563},
}