Comparison of methodologies to estimate state-of-health of commercial Li-ion cells from electrochemical frequency response data-Reference-Cited by-同舟云学术

Comparison of methodologies to estimate state-of-health of commercial Li-ion cells from electrochemical frequency response data

Published:2022-09 Issue: Volume:542 Page:231814
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Chan Hoon Seng^ORCID,Dickinson Edmund J.F.^ORCID,Heins Tom P.,Park Juyeon,Gaberšček Miran,Lee Yan Ying,Heinrich Marco,Ruiz Vanesa^ORCID,Napolitano Emilio,Kauranen Pertti^ORCID,Fedorovskaya Ekaterina,Moškon Jože,Kallio Tanja,Mousavihashemi Seyedabolfazl^ORCID,Krewer Ulrike,Hinds Gareth,Seitz Steffen^ORCID

Funder

European Metrology Programme for Innovation and Research

Horizon 2020

EURAMET EMPIR

National Physical Laboratory

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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