A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis
Madani, Seyed Saeed ; Shabeer, Yasmin; Allard, François; Fowler, Michael; Ziebert, Carlos
1; Wang, Zuolu; Panchal, Satyam; Chaoui, Hicham; Mekhilef, Saad; Dou, Shi Xue; See, Khay; Khalilpour, Kaveh
1 Institut für Angewandte Materialien – Angewandte Werkstoffphysik (IAM-AWP), Karlsruher Institut für Technologie (KIT)
1; Wang, Zuolu; Panchal, Satyam; Chaoui, Hicham; Mekhilef, Saad; Dou, Shi Xue; See, Khay; Khalilpour, Kaveh1 Institut für Angewandte Materialien – Angewandte Werkstoffphysik (IAM-AWP), Karlsruher Institut für Technologie (KIT)
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 reliabil-
ity, 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
... mehr
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 reliabil-
ity, 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
... mehr
| Zugehörige Institution(en) am KIT | Institut für Angewandte Materialien – Angewandte Werkstoffphysik (IAM-AWP) |
| Publikationstyp | Zeitschriftenaufsatz |
| Publikationsjahr | 2025 |
| Sprache | Englisch |
| Identifikator | ISSN: 2313-0105 KITopen-ID: 1000181655 |
| HGF-Programm | 38.02.02 (POF IV, LK 01) Components and Cells |
| Erschienen in | Batteries |
| Verlag | MDPI |
| Band | 11 |
| Heft | 4 |
| Seiten | Art.-Nr.: 127 |
| Projektinformation | HELIOS (EU, H2020, 963646) |
| Vorab online veröffentlicht am | 26.03.2025 |
| Nachgewiesen in | Dimensions Web of Science OpenAlex Scopus |
| Globale Ziele für nachhaltige Entwicklung |