A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis

Madani, SS; Shabeer, Y; Allard, F; Fowler, M; Ziebert, C; Wang, Z; Panchal, S; Chaoui, H; Mekhilef, S; Dou, SX; See, K; Khalilpour, K

A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis

Madani, SS Shabeer, Y Allard, F Fowler, M Ziebert, C Wang, Z Panchal, S Chaoui, H Mekhilef, S Dou, SX See, K Khalilpour, K

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Batteries, 11, (4), pp. 127

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Field	Value	Language
dc.contributor.author	Madani, SS
dc.contributor.author	Shabeer, Y
dc.contributor.author	Allard, F
dc.contributor.author	Fowler, M
dc.contributor.author	Ziebert, C
dc.contributor.author	Wang, Z
dc.contributor.author	Panchal, S
dc.contributor.author	Chaoui, H
dc.contributor.author	Mekhilef, S
dc.contributor.author	Dou, SX
dc.contributor.author	See, K
dc.contributor.author	Khalilpour, K https://orcid.org/0000-0003-4104-2488
dc.date.accessioned	2025-05-06T00:44:55Z
dc.date.available	2025-05-06T00:44:55Z
dc.identifier.citation	Batteries, 11, (4), pp. 127
dc.identifier.issn	2313-0105
dc.identifier.issn	2313-0105
dc.identifier.uri	http://hdl.handle.net/10453/187193
dc.description.abstract	<jats:p>Lithium-ion batteries experience degradation with each cycle, and while aging-related deterioration cannot be entirely prevented, understanding its underlying mechanisms is crucial to slowing it down. The aging processes in these batteries are complex and influenced by factors such as battery chemistry, electrochemical reactions, and operational conditions. Key stressors including depth of discharge, charge/discharge rates, cycle count, and temperature fluctuations or extreme temperature conditions play a significant role in accelerating degradation, making them central to aging analysis. Battery aging directly impacts power, energy density, and reliability, presenting a substantial challenge to extending battery lifespan across diverse applications. This paper provides a comprehensive review of methods for modeling and analyzing battery aging, focusing on essential indicators for assessing the health status of lithium-ion batteries. It examines the principles of battery lifespan modeling, which are vital for applications such as portable electronics, electric vehicles, and grid energy storage systems. This work aims to advance battery technology and promote sustainable resource use by understanding the variables influencing battery durability. Synthesizing a wide array of studies on battery aging, the review identifies gaps in current methodologies and highlights innovative approaches for accurate remaining useful life (RUL) estimation. It introduces emerging strategies that leverage advanced algorithms to improve predictive model precision, ultimately driving enhancements in battery performance and supporting their integration into various systems, from electric vehicles to renewable energy infrastructures.</jats:p>
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	Batteries
dc.relation.isbasedon	10.3390/batteries11040127
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4014 Manufacturing engineering
dc.title	A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis
dc.type	Journal Article
utslib.citation.volume	11
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Visualisation Institute (VI)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Green Technology (CGT)
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	2025-05-06T00:44:52Z
pubs.issue	4
pubs.publication-status	Published online
pubs.volume	11
utslib.citation.issue	4

Abstract:

Lithium-ion batteries experience degradation with each cycle, and while aging-related deterioration cannot be entirely prevented, understanding its underlying mechanisms is crucial to slowing it down. The aging processes in these batteries are complex and influenced by factors such as battery chemistry, electrochemical reactions, and operational conditions. Key stressors including depth of discharge, charge/discharge rates, cycle count, and temperature fluctuations or extreme temperature conditions play a significant role in accelerating degradation, making them central to aging analysis. Battery aging directly impacts power, energy density, and reliability, presenting a substantial challenge to extending battery lifespan across diverse applications. This paper provides a comprehensive review of methods for modeling and analyzing battery aging, focusing on essential indicators for assessing the health status of lithium-ion batteries. It examines the principles of battery lifespan modeling, which are vital for applications such as portable electronics, electric vehicles, and grid energy storage systems. This work aims to advance battery technology and promote sustainable resource use by understanding the variables influencing battery durability. Synthesizing a wide array of studies on battery aging, the review identifies gaps in current methodologies and highlights innovative approaches for accurate remaining useful life (RUL) estimation. It introduces emerging strategies that leverage advanced algorithms to improve predictive model precision, ultimately driving enhancements in battery performance and supporting their integration into various systems, from electric vehicles to renewable energy infrastructures.

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http://hdl.handle.net/10453/187193