State of Health Prediction of Electric Vehicles’ Retired Batteries Based on First-Life Historical Degradation Data Using Predictive Time-Series Algorithms

The exponential growth of electric and hybrid vehicles, now numbering close to 6 million on the roads, has highlighted the urgent need to address the environmental impact of their lithium-ion batteries as they approach their end-of-life stages. Repurposing these batteries as second-life batteries (S...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Farhad Salek, Shahaboddin Resalati, Aydin Azizi, Meisam Babaie, Paul Henshall, Denise Morrey
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-03-01
Sarja:	Mathematics
Aiheet:	EV batteries second-life batteries degradation neural network
Linkit:	https://www.mdpi.com/2227-7390/12/7/1051
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