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 …

Fundamentals of the recycling of spent lithium-ion batteries

P Li, S Luo, Y Lin, J Xiao, X Xia, X Liu… - Chemical Society …, 2024 - pubs.rsc.org
This review discusses the critical role of fundamentals of battery recycling in addressing the
challenges posed by the increasing number of spent lithium-ion batteries (LIBs) due to the …

The application of artificial intelligence in the effective battery life cycle in the closed circular economy model—A perspective

A Pregowska, M Osial, W Urbańska - Recycling, 2022 - mdpi.com
Global pollution of the environment is one of the most challenging environmental problems.
Electronic-based population and anthropogenic activity are the main reasons for …

Intelligent leaching rare earth elements from waste fluorescent lamps

B Niu, SE, X Wang, Z Xu, Y Qin - Proceedings of the …, 2024 - National Acad Sciences
Rare earth elements (REEs), one of the global key strategic resources, are widely applied in
electronic information and national defense, etc. The sharply increasing demand for REEs …

Bioleaching modeling—a review

M Saldaña, M Jeldres, FM Galleguillos Madrid… - Materials, 2023 - mdpi.com
The leaching of minerals is one of the main unit operations in the metal dissolution process,
and in turn it is a process that generates fewer environmental liabilities compared to …

Bioremediation of Battery Scrap Waste Contaminated Soils Using Coco Grass (Cyperus rotundus L.): A Prediction Modeling Study for Cadmium and Lead …

AA Al-Huqail, MA Taher, I Širić, M Goala, B Adelodun… - Agriculture, 2023 - mdpi.com
With the increasing demand for electronic devices that use batteries, e-waste is also
becoming a major threat to the environment. Battery e-waste contains hazardous heavy …

Application of machine learning to guide efficient metal leaching from spent lithium-ion batteries and comprehensively reveal the process parameter influences

B Niu, X Wang, Z Xu - Journal of Cleaner Production, 2023 - Elsevier
Recycling spent lithium-ion batteries (LIBs) has been a global hot spot due to the increasing
scrap amount and enriching valuable resources. Acid leaching is the crucial step of …

Application of PLC-Based Spectrophotometric System Nitrogen Protection Device to Automated Direct Measurement of Target Substances in Zinc Hydrometallurgy

X Zhang, N Duan, L Jiang, F Xu, Z Yu, W Cheng, W Lv… - Processes, 2023 - mdpi.com
Due to the fast material reaction in zinc hydrometallurgy, the traditional national standard
photometric method cannot capture the characteristic information of target substances in real …

Data-Driven Exhaust Gas Temperature Baseline Predictions for Aeroengine Based on Machine Learning Algorithms

Z Wang, Y Zhao - Aerospace, 2022 - mdpi.com
The exhaust gas temperature (EGT) baseline of an aeroengine is key to accurately
analyzing engine health, formulating maintenance decisions and ensuring flight safety …

Recent and Novel Leaching Processes for Recovery of Metals from Spent Lithium-ion Batteries: A Review

C Bishnoi, SV Daware, B Rai - Transactions of the Indian Institute of …, 2024 - Springer
In this review article, we have compiled state-of-the-art recent hydrometallurgical processes
used to recover metals from spent lithium-ion batteries. The composition of lithium-ion …