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 …

Aging aware operation of lithium-ion battery energy storage systems: A review

N Collath, B Tepe, S Englberger, A Jossen… - Journal of Energy …, 2022 - Elsevier
The amount of deployed battery energy storage systems (BESS) has been increasing
steadily in recent years. For newly commissioned systems, lithium-ion batteries have …

Impedance-based forecasting of lithium-ion battery performance amid uneven usage

PK Jones, U Stimming, AA Lee - Nature Communications, 2022 - nature.com
Accurate forecasting of lithium-ion battery performance is essential for easing consumer
concerns about the safety and reliability of electric vehicles. Most research on battery health …

Challenges of second-life concepts for retired electric vehicle batteries

MF Börner, MH Frieges, B Späth, K Spütz… - Cell Reports Physical …, 2022 - cell.com
Identifying the optimal way to process retired batteries has gained attention from academics
and industry. High energy and power density requirements of electric vehicles (EVs) might …

[HTML][HTML] Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence

W Li, I Demir, D Cao, D Jöst, F Ringbeck… - Energy Storage …, 2022 - Elsevier
Electrochemical models are more and more widely applied in battery diagnostics,
prognostics and fast charging control, considering their high fidelity, high extrapolability and …

Battery prognostics and health management from a machine learning perspective

J Zhao, X Feng, Q Pang, J Wang, Y Lian… - Journal of Power …, 2023 - Elsevier
Transportation electrification is gaining prominence as a significant pathway for reducing
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …

An overview of data-driven battery health estimation technology for battery management system

M Chen, G Ma, W Liu, N Zeng, X Luo - Neurocomputing, 2023 - Elsevier
Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …

Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives

C Li, H Zhang, P Ding, S Yang, Y Bai - Renewable and Sustainable Energy …, 2023 - Elsevier
The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …

[HTML][HTML] A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data

Y Zhang, T Wik, J Bergström, M Pecht, C Zou - Journal of Power Sources, 2022 - Elsevier
Accurately predicting batteries' ageing trajectory and remaining useful life is not only
required to ensure safe and reliable operation of electric vehicles (EVs) but is also the …

[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 …