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Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
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 …
significance for a smart battery management system to ensure safe and optimal use of the …
Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …
the components in a real system has been destroyed, and some anomalies appear so that …
Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network
In order for lithium-ion batteries to function reliably and safely, accurate capacity and
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …
A review of modeling, management, and applications of grid-connected Li-ion battery storage systems
The intermittency of renewable energy sources makes the use of energy storage systems
(ESSs) indispensable in modern power grids for supply-demand balancing and reliability …
(ESSs) indispensable in modern power grids for supply-demand balancing and reliability …
State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges
Abstract Lithium-ion Batteries (LiB) have a wide range of applications in daily life. However,
as they get used over time, battery degradation becomes inevitable, which can lead to a …
as they get used over time, battery degradation becomes inevitable, which can lead to a …
Machine learning for battery systems applications: Progress, challenges, and opportunities
Abstract Machine learning has emerged as a transformative force throughout the entire
engineering life cycle of electrochemical batteries. Its applications encompass a wide array …
engineering life cycle of electrochemical batteries. Its applications encompass a wide array …
A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …
causes of changing weather patterns and deteriorating health conditions. Furthermore …
Review of state estimation and remaining useful life prediction methods for lithium–ion batteries
J Zhao, Y Zhu, B Zhang, M Liu, J Wang, C Liu, X Hao - Sustainability, 2023 - mdpi.com
The accurate estimation of the state of charge, the state of health and the prediction of
remaining useful life of lithium–ion batteries is an important component of battery …
remaining useful life of lithium–ion batteries is an important component of battery …
Li-ion battery capacity prediction using improved temporal fusion transformer model
Abstract Lithium-ion (Li-ion) batteries have near-zero energy emissions and provide power
to various devices, such as automobiles and portable equipment. The strategy predicts the …
to various devices, such as automobiles and portable equipment. The strategy predicts the …
Battery energy storage systems: A review of energy management systems and health metrics
With increasing concerns about climate change, there is a transition from high-
carbonemitting fuels to green energy resources in various applications including household …
carbonemitting fuels to green energy resources in various applications including household …