A review on second-life of Li-ion batteries: Prospects, challenges, and issues

M Shahjalal, PK Roy, T Shams, A Fly, JI Chowdhury… - Energy, 2022 - Elsevier
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 …

Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives

J Tian, C Chen, W Shen, F Sun, R Xiong - Energy Storage Materials, 2023 - Elsevier
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

Comprehensive recycling of lithium-ion batteries: Fundamentals, pretreatment, and perspectives

W Yu, Y Guo, S Xu, Y Yang, Y Zhao, J Zhang - Energy Storage Materials, 2023 - Elsevier
With increasing the market share of electric vehicles (EVs), the rechargeable lithium-ion
batteries (LIBs) as the critical energy power sources have experienced rapid growth in the …

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …

[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries

Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …

[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Sustainable Cities and …, 2022 - Elsevier
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …

[HTML][HTML] Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects

K Liu, Q Peng, Y Che, Y Zheng, K Li… - Advances in Applied …, 2023 - Elsevier
With the advent of sustainable and clean energy transitions, lithium-ion batteries have
become one of the most important energy storage sources for many applications. Battery …

[HTML][HTML] State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

X Shu, S Shen, J Shen, Y Zhang, G Li, Z Chen, Y Liu - Iscience, 2021 - cell.com
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 …

A comprehensive review of state of charge estimation in lithium-ion batteries used in electric vehicles

V Selvaraj, I Vairavasundaram - Journal of Energy Storage, 2023 - Elsevier
In the recent era, Electric Vehicles (EVs) has been emerged as the top concern in the
automobile sector because of their eco-friendly nature. The application of Lithium-ion …

End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation

T Han, Z Wang, H Meng - Journal of Power Sources, 2022 - Elsevier
Real-time capacity estimation of lithium-ion batteries is crucial but challenging in battery
management systems (BMSs). Due to the complexity of battery degradation mechanism …