Machine learning predictions of lithium-ion battery state-of-health for eVTOL applications-Reference-Cited by-同舟云学术

Machine learning predictions of lithium-ion battery state-of-health for eVTOL applications

Published:2022-11 Issue: Volume:548 Page:232051
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Granado Lérys^ORCID,Ben-Marzouk Mohamed,Solano Saenz Eduard,Boukal Yassine,Jugé Sylvain

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

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