Sustainability of new energy vehicles from a battery recycling perspective: A bibliometric analysis

X Ma, C Lu, J Gao, J Cao, Y Wan, H Fang - Heliyon, 2024 - cell.com
In recent years, new energy vehicles (NEVs) have taken the world by storm. A large number
of NEV batteries have been scrapped, and research on NEV battery recycling is important …

Data-driven capacity estimation for lithium-ion batteries with feature matching based transfer learning method

S Fu, S Tao, H Fan, K He, X Liu, Y Tao, J Zuo, X Zhang… - Applied Energy, 2024 - Elsevier
Accurate capacity estimation is essential in the management of lithium-ion batteries, as it
guarantees the safety and dependability of battery-powered systems. However, direct …

Battery Waste Management in Europe: Black Mass Hazardousness and Recycling Strategies in the Light of an Evolving Competitive Regulation

M Gianvincenzi, EM Mosconi, M Marconi, F Tola - Recycling, 2024 - mdpi.com
The increasing significance of batteries in the 21st century and the challenges posed by the
anticipated surge in end-of-life batteries, particularly within the European context, are …

A hybrid framework for predicting the remaining useful life of battery using Gaussian process regression

J Li, M Ye, Y Wang, Q Wang, M Wei - Journal of Energy Storage, 2023 - Elsevier
The battery will inevitably deteriorate in its service life. Therefore, accurate prediction of the
remaining useful life (RUL) is critical to the durability of the battery energy storage systems …

Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions

S Tao, R Ma, Z Zhao, G Ma, L Su, H Chang… - Nature …, 2024 - nature.com
Rapid and accurate state of health (SOH) estimation of retired batteries is a crucial
pretreatment for reuse and recycling. However, data-driven methods require exhaustive data …

Rapid and sustainable battery health diagnosis for recycling pretreatment using fast pulse test and random forest machine learning

S Tao, R Ma, Y Chen, Z Liang, H Ji, Z Han, G Wei… - Journal of Power …, 2024 - Elsevier
This research introduces a novel state of health (SOH) diagnosis method for retired lithium-
ion batteries (LIBs) in recycling pretreatment, employing a fast pulse test and random forest …

Sustaining the advancement of new energy vehicles in the post-subsidy era: Carbon quota mechanisms and subsidy mechanisms for recycling of used batteries

Z Guo, Y Du, Y Zhao - Sustainable Production and Consumption, 2024 - Elsevier
The termination of purchase subsidies and the maladaptation of the dual credit policy (DCP)
are likely to slow the development of new energy vehicles (NEVs) in China. To explore new …

Machine learning for full lifecycle management of lithium-ion batteries

Q Zhai, H Jiang, N Long, Q Kang, X Meng… - … and Sustainable Energy …, 2024 - Elsevier
Developing advanced battery materials, monitoring and predicting the health status of
batteries, and effectively managing retired batteries are crucial for accelerating the closure of …

Feature–target pairing in machine learning for battery health diagnosis and prognosis: A critical review

Z Huang, L Sugiarto, YC Lu - EcoMat, 2023 - Wiley Online Library
Lithium‐ion batteries (LIBs) have been dominating the markets of electric vehicles and grid
energy storage. Accurate monitoring of battery health status has been one of the most critical …

A novel quick screening method for the second usage of parallel-connected lithium-ion cells based on the current distribution

K He, S Tao, S Fu, H Fan, Y Tao… - Journal of The …, 2023 - iopscience.iop.org
Battery screening is the key segment of secondary applications. The benchmark for
conventional methods is mainly based on the series connection and makes parameter …