A comprehensive review of the lithium-ion battery state of health prognosis methods combining aging mechanism analysis
Y Xiao, J Wen, L Yao, J Zheng, Z Fang, Y Shen - Journal of Energy Storage, 2023 - Elsevier
In the field of new energy vehicles, lithium-ion batteries have become an inescapable
energy storage device. However, they still face significant challenges in practical use due to …
energy storage device. However, they still face significant challenges in practical use due to …
Data-driven-aided strategies in battery lifecycle management: prediction, monitoring, and optimization
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 …
entails a variety of complex variables as well as unpredictability in given conditions. Data …
“Knees” in lithium-ion battery aging trajectories
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" …
degradation that severely limits battery lifetime. In this work, we review prior work on" knees" …
Improving state-of-health estimation for lithium-ion batteries via unlabeled charging data
The state-of-health (SOH) estimation is an important and open issue in battery health
management. Most existing data driven SOH estimation methods are based on supervised …
management. Most existing data driven SOH estimation methods are based on supervised …
Lithium-ion battery lifetime extension: A review of derating methods
Extending lithium-ion battery lifetime is essential for mainstream uptake of electric vehicles.
However, battery degradation is complex and involves coupling of underpinning …
However, battery degradation is complex and involves coupling of underpinning …
Battery aging mode identification across NMC compositions and designs using machine learning
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 …
durable batteries and optimizing use protocols. Although battery lifetime prediction methods …
Li-ion battery degradation modes diagnosis via Convolutional Neural Networks
Lithium-ion batteries are ubiquitous in modern society with a presence in storage systems,
electric cars, portable electronics, and many more applications. Consequently, to enable …
electric cars, portable electronics, and many more applications. Consequently, to enable …
Data-driven direct diagnosis of Li-ion batteries connected to photovoltaics
Photovoltaics supply a growing share of power to the electric grid worldwide. To mitigate
resource intermittency issues, these systems are increasingly being paired with …
resource intermittency issues, these systems are increasingly being paired with …
Developing extreme fast charge battery protocols–A review spanning materials to systems
Extreme fast charging (XFC) has become a focal research point in the lithium-battery
community over the last several years. As adoption of electric vehicles increases, fast …
community over the last several years. As adoption of electric vehicles increases, fast …
[HTML][HTML] Generalised diagnostic framework for rapid battery degradation quantification with deep learning
Diagnosing lithium-ion battery degradation is challenging due to the complex, nonlinear,
and path-dependent nature of the problem. Here, we develop a generalised and rapid …
and path-dependent nature of the problem. Here, we develop a generalised and rapid …