[HTML][HTML] Managing the surge: a comprehensive review of the entire disposal framework for retired lithium-ion batteries from electric vehicles
Anticipating the imminent surge of retired lithium-ion batteries (R-LIBs) from electric vehicles,
the need for safe, cost-effective and environmentally friendly disposal technologies has …
the need for safe, cost-effective and environmentally friendly disposal technologies has …
Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation
Abstract Metal-ion batteries (MIBs), including alkali metal-ion (Li+, Na+, and K+), multi-valent
metal-ion (Zn 2+, Mg 2+, and Al 3+), metal-air, and metal-sulfur batteries, play an …
metal-ion (Zn 2+, Mg 2+, and Al 3+), metal-air, and metal-sulfur batteries, play an …
Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning
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 …
recycling due to their cathode-specific nature. The surge in retired batteries necessitates …
Data-driven capacity estimation for lithium-ion batteries with feature matching based transfer learning method
Accurate capacity estimation is essential in the management of lithium-ion batteries, as it
guarantees the safety and dependability of battery-powered systems. However, direct …
guarantees the safety and dependability of battery-powered systems. However, direct …
Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions
Rapid and accurate state of health (SOH) estimation of retired batteries is a crucial
pretreatment for reuse and recycling. However, data-driven methods require exhaustive data …
pretreatment for reuse and recycling. However, data-driven methods require exhaustive data …
Flotation separation of lithium–ion battery electrodes predicted by a long short-term memory network using data from physicochemical kinetic simulations and …
Anode and cathode active materials from spent lithium–ion batteries may be recovered and
potentially used in new batteries to promote recycling and resource circulation. Froth …
potentially used in new batteries to promote recycling and resource circulation. Froth …
Rapid and sustainable battery health diagnosis for recycling pretreatment using fast pulse test and random forest machine learning
This research introduces a novel state of health (SOH) diagnosis method for retired lithium-
ion batteries (LIBs) in recycling pretreatment, employing a fast pulse test and random forest …
ion batteries (LIBs) in recycling pretreatment, employing a fast pulse test and random forest …
Energy storage sharing in residential communities with controllable loads for enhanced operational efficiency and profitability
B Talihati, S Tao, S Fu, B Zhang, H Fan, Q Li, X Lv… - Applied Energy, 2024 - Elsevier
Given the widespread adoption of renewable energy, the role of battery energy storage
systems (BESs) in ensuring the reliable operation of BES-integrated power systems has …
systems (BESs) in ensuring the reliable operation of BES-integrated power systems has …
Predict the lifetime of lithium-ion batteries using early cycles: A review
M Yang, X Sun, R Liu, L Wang, F Zhao, X Mei - Applied Energy, 2024 - Elsevier
With the rapid development of lithium-ion batteries in recent years, predicting their remaining
useful life based on the early stages of cycling has become increasingly important. Accurate …
useful life based on the early stages of cycling has become increasingly important. Accurate …
Battery pack capacity estimation for electric vehicles based on enhanced machine learning and field data
Accurate capacity estimation is of great importance for the reliable state monitoring, timely
maintenance, and second-life utilization of lithium-ion batteries. Despite numerous works on …
maintenance, and second-life utilization of lithium-ion batteries. Despite numerous works on …