[HTML][HTML] Overview of batteries and battery management for electric vehicles
Popularization of electric vehicles (EVs) is an effective solution to promote carbon neutrality,
thus combating the climate crisis. Advances in EV batteries and battery management …
thus combating the climate crisis. Advances in EV batteries and battery management …
[HTML][HTML] 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 …
A review on second-life of Li-ion batteries: Prospects, challenges, and issues
High energy density has made Li-ion battery become a reliable energy storage technology
for transport-grid applications. Safely disposing batteries that below 80% of their nominal …
for transport-grid applications. Safely disposing batteries that below 80% of their nominal …
Machine learning: an advanced platform for materials development and state prediction in lithium‐ion batteries
Lithium‐ion batteries (LIBs) are vital energy‐storage devices in modern society. However,
the performance and cost are still not satisfactory in terms of energy density, power density …
the performance and cost are still not satisfactory in terms of energy density, power density …
Cloud-based in-situ battery life prediction and classification using machine learning
Y Zhang, M Zhao - Energy Storage Materials, 2023 - Elsevier
In-situ battery life prediction and classification can advance lithium-ion battery prognostics
and health management. A novel physical features-driven moving-window battery life …
and health management. A novel physical features-driven moving-window battery life …
Battery technologies and functionality of battery management system for EVs: Current status, key challenges, and future prospectives
Research and development towards electric vehicles (EVs) are getting exclusive attention
because of their eco-friendly nature, suppression of petroleum products, greener transport …
because of their eco-friendly nature, suppression of petroleum products, greener transport …
Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network
Accurate estimation and prediction of the state of health (SOH) and remaining useful life
(RUL) are crucial for battery management systems, which have an important role in the field …
(RUL) are crucial for battery management systems, which have an important role in the field …
[HTML][HTML] State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …
avoid latent failures of lithium-ion batteries. With the development of communication and …
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …
and hot topic in the battery management research field. Feature extraction is a key step for …
Applying machine learning to rechargeable batteries: from the microscale to the macroscale
Emerging machine learning (ML) methods are widely applied in chemistry and materials
science studies and have led to a focus on data‐driven research. This Minireview …
science studies and have led to a focus on data‐driven research. This Minireview …