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

作者：Seyed Saeed Madani, Yasmin Shabeer, François Allard, M. Fowler, C. Ziebert, Zuolu Wang, S. Panchal, H. Chaoui, S. Mekhilef, Shi Xue Dou, K. See, K. Khalilpour · 发表于：Batteries · 年份：2025 · DOI：10.3390/batteries11040127 · 被引用次数：144

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...