[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 …
Artificial intelligence applied to battery research: hype or reality?
T Lombardo, M Duquesnoy, H El-Bouysidy… - Chemical …, 2021 - ACS Publications
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …
component of the power supply system and accurate remaining useful life prediction is the …
[HTML][HTML] Battery lifetime prognostics
Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …
Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection
As an indispensable energy device, 18650 lithium-ion battery has widespread applications
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
[HTML][HTML] A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries
Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …
component of power supply systems. Accurate battery state prediction is key to ensuring …
Turning waste into wealth: A systematic review on echelon utilization and material recycling of retired lithium-ion batteries
With the increasing production and marketing of global electric vehicles (EVs), a large
quantity of lithium ion battery (LIB) raw materials are demanded, and massive LIBs will be …
quantity of lithium ion battery (LIB) raw materials are demanded, and massive LIBs will be …
Modified Gaussian process regression models for cyclic capacity prediction of lithium-ion batteries
This article presents the development of machine-learning-enabled data-driven models for
effective capacity predictions for lithium-ion (Li-ion) batteries under different cyclic …
effective capacity predictions for lithium-ion (Li-ion) batteries under different cyclic …
Remaining life prediction of lithium-ion batteries based on health management: A review
Lithium-ion battery remaining useful life (RUL) is an essential technology for battery
management, safety assurance and predictive maintenance, which has attracted the …
management, safety assurance and predictive maintenance, which has attracted the …
Electrochemical impedance spectroscopy based state-of-health estimation for lithium-ion battery considering temperature and state-of-charge effect
State of health (SOH) is critical to the efficient and reliable use of lithium-ion batteries (LIBs),
especially in electric vehicle (EV) applications. Recently, electrochemical impedance …
especially in electric vehicle (EV) applications. Recently, electrochemical impedance …