A TinyML-Driven Edge Computing Framework for State of Health Estimation of Second-Life Li-Ion Battery
SSRN
Bibliographic details
A compact neural-network approach estimates the health of second-life lithium-ion cells from partial-discharge voltages, with an architecture intended for resource-constrained edge devices.
- Authors:
- Efstathios Fiorentis; Bogdan-Adrian Enache; Mihaela-Marilena Albu
- Publication:
- SSRN
- Date:
- 2026-01
- DOI:
- 10.2139/ssrn.6169928
Batteries & energy storage