A machine learning–based optimal charging strategy for PV-assisted electric vehicle systems incorporating second-life batteries under degradation constraints

Abstract The rapid expansion of electric vehicles (EVs) and residential photovoltaic (PV) systems has created new challenges in battery charging management, particularly due to the variability of renewable energy, grid limitations, and battery aging effects. In this work, we present a machine learni...

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Autori principali:	Ahmed Ezzat, Ayman S. Abdel-Khalik, Ragi A. Hamdy, Mostafa S. Hamad
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-07-01
Serie:	Scientific Reports
Soggetti:	Energy management system (EMS) Second-life batteries Battery degradation Energy storage systems (ESS) Battery management systems (BMS)
Accesso online:	https://doi.org/10.1038/s41598-026-60510-0
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