Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …
high driving range with appropriate reliability and security are identified as the key towards …
Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives
Safety concerns are the main obstacle to large-scale application of lithium-ion batteries
(LIBs), and thus, improving the safety of LIBs is receiving global attention. Within battery …
(LIBs), and thus, improving the safety of LIBs is receiving global attention. Within battery …
An encoder-decoder fusion battery life prediction method based on Gaussian process regression and improvement
The prediction ability of all traditional machine learning models is limited to a few batteries.
When the RUL of more batteries needs to be predicted, the prediction performance of …
When the RUL of more batteries needs to be predicted, the prediction performance of …
Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Real-time and personalized lithium-ion battery health management is conducive to safety
improvement for end-users. However, personalized prognostic of the battery health status is …
improvement for end-users. However, personalized prognostic of the battery health status is …
Battery health prediction using fusion-based feature selection and machine learning
State of health (SOH) is a key parameter to assess lithium-ion battery feasibility for
secondary usage applications. SOH estimation based on machine learning has attracted …
secondary usage applications. SOH estimation based on machine learning has attracted …
Developing an online data-driven approach for prognostics and health management of lithium-ion batteries
Lithium-ion batteries have achieved dominance in energy storage systems. Meanwhile,
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …
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 …
A review of battery state of health estimation methods: Hybrid electric vehicle challenges
To cope with the new transportation challenges and to ensure the safety and durability of
electric vehicles and hybrid electric vehicles, high performance and reliable battery health …
electric vehicles and hybrid electric vehicles, high performance and reliable battery health …
Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy
J Obregon, YR Han, CW Ho, D Mouraliraman… - Journal of Energy …, 2023 - Elsevier
The advancement of consumer electronics and electric vehicles requires heavy use of
energy sources, particularly in the form of rechargeable batteries. Although lithium-ion …
energy sources, particularly in the form of rechargeable batteries. Although lithium-ion …
Online health diagnosis of lithium-ion batteries based on nonlinear autoregressive neural network
Battery health diagnostics is extremely crucial to guaranty the availability and reliability of
the application in which they operate. Data-driven health diagnostics methods, particularly …
the application in which they operate. Data-driven health diagnostics methods, particularly …