Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …

Li‐ion batteries (LIBs) that promise both safety and high energy density are critical for a new‐
energy future. However, recent studies on battery thermal runaway (TR) suggest that the …

Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear
degradation that severely limits battery lifetime. In this work, we review prior work on" knees" …

Unsorted retired batteries with varied cathode materials hinder the adoption of direct
recycling due to their cathode-specific nature. The surge in retired batteries necessitates …

Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …

This publication will present best practices for incremental capacity analysis, a technique
whose popularity is growing year by year because of its ability to identify battery degradation …

Lithium-ion battery (LIB) degradation is often characterized at three distinct levels:
mechanisms, modes, and metrics. Recent trends in diagnostics and prognostics have been …

Data-driven models are being developed to predict battery lifetime because of their ability to
capture complex aging phenomena. In this perspective, we demonstrate that it is critical to …

A comprehensive understanding of lithium-ion battery (LiB) lifespan is the key to designing
durable batteries and optimizing use protocols. Although battery lifetime prediction methods …

Accurately predicting in-situ battery life is critical to evaluate the system's reliability and
residual value. The high complexity of battery aging evolution under variable conditions …