TY  - JOUR
AU  - Wang, Zhenya
AU  - Danilov, Dmitri
AU  - Eichel, Rüdiger-A.
AU  - Notten, Peter H. L.
TI  - The implementation of a voltage-based tunneling mechanism in agingmodels for lithium-ion batteries
JO  - Journal of power sources advances
VL  - 29
SN  - 2666-2485
CY  - [Amsterdam]
PB  - Elsevier ScienceDirect
M1  - FZJ-2025-00752
SP  - 100157
PY  - 2024
AB  - Precise explanation and prediction of the aging behavior of lithium-ion batteries (LIBs) is essential for improvingbattery management systems. It is quickly becoming a hotspot in battery research. Solid electrolyte interphase(SEI) growth is regarded as the dominant factor of capacity losses in LIBs. However, the growth of SEI is yet to beunderstood in more detail due to its complexity. In the present paper, an advanced voltage-based aging modelusing an electron tunneling mechanism is proposed and validated by experiments. This model employs theelectrode voltage as an input parameter for the first time with a tunneling mechanism, which is more flexiblethan existing energy-based approaches and can be used to predict the electron tunneling (dis)charge cycles. Theproposed model is used to simulate tunneling current profiles during (dis)charging of graphite, LTO, and blendSi/C negative electrodes. The simulation results prove and explain that lower states-of-charge of LIBs mitigateelectron tunneling and SEI growth, further reducing calendar aging. That work can be used to describe batterycapacity losses better and it is crucial for predicting the state-of-health of LIBs.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:001308631300001
DO  - DOI:10.1016/j.powera.2024.100157
UR  - https://juser.fz-juelich.de/record/1037564
ER  -