A facile physics-based model for non-destructive diagnosis of battery degradation

Wang, Z; Danilov, DL; Chen, Z; Eichel, RA; Notten, PHL

A facile physics-based model for non-destructive diagnosis of battery degradation

Wang, Z Danilov, DL Chen, Z Eichel, RA Notten, PHL

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Journal of Energy Storage, 2024, 101, pp. 113819
Issue Date:: 2024-11-01

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Field	Value	Language
dc.contributor.author	Wang, Z
dc.contributor.author	Danilov, DL
dc.contributor.author	Chen, Z
dc.contributor.author	Eichel, RA
dc.contributor.author	Notten, PHL
dc.date.accessioned	2025-03-15T19:06:46Z
dc.date.available	2025-03-15T19:06:46Z
dc.date.issued	2024-11-01
dc.identifier.citation	Journal of Energy Storage, 2024, 101, pp. 113819
dc.identifier.issn	2352-152X
dc.identifier.issn	2352-152X
dc.identifier.uri	http://hdl.handle.net/10453/185826
dc.description.abstract	The identification of battery degradation is of significant importance for estimating the state of health. Loss of lithium inventory (LLI), loss of active materials of the negative electrodes (LAMNE), and loss of active materials of the positive electrodes (LAMPE) are three main degradation modes. This paper proposes an advanced model based on open circuit voltage and differential voltage (DV) fitting to diagnose and quantify the degradation modes of batteries at different stages, showing high fidelity. This physics-based model avoids solving many partial differential equations and is not computationally demanding. Using commercial batteries with NCA/SiC electrodes as a case study, the LLI, LAMPE, and LAMNE induced by battery cycling and storage at various temperatures, State-of-Charge, and charging/discharging rates are systematically identified and analyzed.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Journal of Energy Storage
dc.relation.isbasedon	10.1016/j.est.2024.113819
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	40 Engineering
dc.title	A facile physics-based model for non-destructive diagnosis of battery degradation
dc.type	Journal Article
utslib.citation.volume	101
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-03-15T19:06:43Z
pubs.publication-status	Published
pubs.volume	101

Abstract:

The identification of battery degradation is of significant importance for estimating the state of health. Loss of lithium inventory (LLI), loss of active materials of the negative electrodes (LAMNE), and loss of active materials of the positive electrodes (LAMPE) are three main degradation modes. This paper proposes an advanced model based on open circuit voltage and differential voltage (DV) fitting to diagnose and quantify the degradation modes of batteries at different stages, showing high fidelity. This physics-based model avoids solving many partial differential equations and is not computationally demanding. Using commercial batteries with NCA/SiC electrodes as a case study, the LLI, LAMPE, and LAMNE induced by battery cycling and storage at various temperatures, State-of-Charge, and charging/discharging rates are systematically identified and analyzed.

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http://hdl.handle.net/10453/185826