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 …

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 …

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 …

End-of-life or second-life options for retired electric vehicle batteries

J Zhu, I Mathews, D Ren, W Li, D Cogswell… - Cell Reports Physical …, 2021 - cell.com
E-mobility, especially electric cars, has been scaling up rapidly because of technological
advances in lithium-ion batteries (LIBs). However, LIBs degrade significantly with service life …

[HTML][HTML] Lithium-ion battery data and where to find it

G Dos Reis, C Strange, M Yadav, S Li - Energy and AI, 2021 - Elsevier
Lithium-ion batteries are fuelling the advancing renewable-energy based world. At the core
of transformational developments in battery design, modelling and management is data. In …

[HTML][HTML] State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles

S Bockrath, V Lorentz, M Pruckner - Applied Energy, 2023 - Elsevier
An accurate aging forecasting and state of health estimation is essential for a safe and
economically valuable usage of lithium-ion batteries. However, the non-linear aging of …

Intelligent disassembly of electric-vehicle batteries: a forward-looking overview

K Meng, G Xu, X Peng, K Youcef-Toumi, J Li - … , Conservation and Recycling, 2022 - Elsevier
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …

Data-driven-aided strategies in battery lifecycle management: prediction, monitoring, and optimization

L Xu, F Wu, R Chen, L Li - Energy Storage Materials, 2023 - Elsevier
Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …

Mass load prediction for lithium-ion battery electrode clean production: a machine learning approach

K Liu, Z Wei, Z Yang, K Li - Journal of Cleaner Production, 2021 - Elsevier
With the advent of sustainable and clean energy, lithium-ion batteries have been widely
utilised in cleaner productions such as energy storage systems and electrical vehicles, but …

Screening of retired batteries with gramian angular difference fields and ConvNeXt

M Lin, J Wu, J Meng, W Wang, J Wu - Engineering Applications of Artificial …, 2023 - Elsevier
With the rapid development of electric vehicles, the second usage of retired batteries
becomes a key issue. The accuracy of existing screening methods for retired batteries is …