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Review on State of Health estimation methodologies for lithium-ion batteries in the context of circular economy

Authors :
Akash Basia
Zineb Simeu-Abazi
Eric Gascard
Peggy Zwolinski
Gestion et Conduite des Systèmes de Production (G-SCOP_GCSP)
Laboratoire des sciences pour la conception, l'optimisation et la production (G-SCOP)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)
Conception Produit Process (G-SCOP_CPP )
CIRCULAR
ANR-15-IDEX-0002,UGA,IDEX UGA(2015)
Source :
CIRP Journal of Manufacturing Science and Technology, CIRP Journal of Manufacturing Science and Technology, Elsevier, 2021, ⟨10.1016/j.cirpj.2021.02.004⟩, HAL
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

The electric vehicle (EV) batteries should be repurposed after reaching End of Life (EoL), because it could be economically and environmentally beneficial. State of Health (SoH) estimation plays an essential role in repurposing these EoL Lithium (Li)-ion batteries. The aim of this paper is to review different SoH estimation technique to present a novel feature based classification. The review also investigates the issues and challenges in estimating SoH for Li-ion battery, with possible solutions. Furthermore, the study provides proposals for the development of SoH estimation methods for EV batteries in the context of the circular economy.

Details

ISSN :
17555817 and 18780016
Volume :
32
Database :
OpenAIRE
Journal :
CIRP Journal of Manufacturing Science and Technology
Accession number :
edsair.doi.dedup.....a2526ab495858e603bedc4ffc5efc8f8
Full Text :
https://doi.org/10.1016/j.cirpj.2021.02.004