Early prediction of Li-ion cell failure from EIS derived from current–voltage time series
The ability to reliably detect the forthcoming failure of a rechargeable cell without removing it from its normal operating environment remains a significant goal in battery research. In this work we have cycled in the laboratory a previously-aged 3.2 A h, 3.6 V 18650 INR LiNi _x Mn _y Co $ _{1-x-y}...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | JPhys Energy |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7655/ad97df |
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