Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects

Y Che, X Hu, X Lin, J Guo, R Teodorescu - Energy & Environmental …, 2023 - pubs.rsc.org
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 …

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Y Zhang, YF Li - Renewable and sustainable energy reviews, 2022 - Elsevier
Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …

A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries

B Jiang, J Zhu, X Wang, X Wei, W Shang, H Dai - Applied Energy, 2022 - Elsevier
Battery state of health (SOH) estimation is a critical but challenging demand in advanced
battery management technologies. As an essential parameter, battery impedance contains …

Towards long lifetime battery: AI-based manufacturing and management

K Liu, Z Wei, C Zhang, Y Shang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …

Mitigation strategies for Li-ion battery thermal runaway: A review

B Xu, J Lee, D Kwon, L Kong, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Li-ion batteries are commercially successful power sources for diverse applications.
However, the characteristics of Li-ion batteries make them susceptible to thermal runaway …

Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling

H Rauf, M Khalid, N Arshad - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …

Data-driven battery state of health estimation based on random partial charging data

Z Deng, X Hu, P Li, X Lin, X Bian - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
The rapid development of battery technology has promoted the deployment of electric
vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to …

Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review

G Zhang, X Wei, X Tang, J Zhu, S Chen… - … and Sustainable Energy …, 2021 - Elsevier
Energy security, environmental concerns, and the upgrading of automobile industry are the
driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries …

Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection

J Zhang, Y Jiang, X Li, H Luo, S Yin… - … ASME Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Sorting, regrouping, and echelon utilization of the large-scale retired lithium batteries: A critical review

X Lai, Y Huang, C Deng, H Gu, X Han, Y Zheng… - … and Sustainable Energy …, 2021 - Elsevier
With the rapid development of electric vehicles, the safe and environmentally friendly
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …