TY  - JOUR
AU  - Wang, Zhenya
AU  - Danilov, Dmitri
AU  - Eichel, Rüdiger-A.
AU  - Notten, Peter H. L.
TI  - A facile physics-based model for non-destructive diagnosis ofbattery degradation
JO  - Journal of energy storage
VL  - 101
SN  - 2352-152X
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - FZJ-2025-00751
SP  - 113819
PY  - 2024
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:001319122100001
DO  - DOI:10.1016/j.est.2024.113819
UR  - https://juser.fz-juelich.de/record/1037563
ER  -