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 …

Design and optimization of lithium-ion battery as an efficient energy storage device for electric vehicles: A comprehensive review

FMNU Khan, MG Rasul, ASM Sayem… - Journal of Energy …, 2023 - Elsevier
Lithium-ion batteries (LIBs) have nowadays become outstanding rechargeable energy
storage devices with rapidly expanding fields of applications due to convenient features like …

Origin of fast charging in hard carbon anodes

Y Li, A Vasileiadis, Q Zhou, Y Lu, Q Meng, Y Li… - Nature Energy, 2024 - nature.com
Transport electrification and grid storage hinge largely on fast-charging capabilities of Li-and
Na-ion batteries, but anodes such as graphite with plating issues drive the scientific focus …

Physics-based battery SOC estimation methods: Recent advances and future perspectives

L Wu, Z Lyu, Z Huang, C Zhang, C Wei - Journal of Energy Chemistry, 2024 - Elsevier
The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …

[HTML][HTML] Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects

K Liu, Q Peng, Y Che, Y Zheng, K Li… - Advances in Applied …, 2023 - Elsevier
With the advent of sustainable and clean energy transitions, lithium-ion batteries have
become one of the most important energy storage sources for many applications. Battery …

An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range

B Jiang, Y Zhu, J Zhu, X Wei, H Dai - Energy, 2023 - Elsevier
Capacity estimation is essential for battery health management during the whole lifecycle.
The data-driven technique has shown advanced performance in battery capacity estimation …

Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms

Y Xu, X Chen, H Zhang, F Yang, L Tong… - … Journal of Energy …, 2022 - Wiley Online Library
Aiming at the problems of time‐varying battery parameters and inaccurate estimations of
state of charge (SOC) and state of health (SOH), a joint estimation algorithm of SOC and …

State estimation models of lithium-ion batteries for battery management system: status, challenges, and future trends

L Zhou, X Lai, B Li, Y Yao, M Yuan, J Weng, Y Zheng - Batteries, 2023 - mdpi.com
The state estimation technology of lithium-ion batteries is one of the core functions elements
of the battery management system (BMS), and it is an academic hotspot related to the …

[HTML][HTML] Interpretable machine learning for battery capacities prediction and coating parameters analysis

K Liu, MF Niri, G Apachitei, M Lain… - Control Engineering …, 2022 - Elsevier
Battery manufacturing plays a direct and pivotal role in determining battery performance,
which, in turn, significantly affects the applications of battery-related energy storage systems …

State of charge estimation of lithium-ion battery based on extended Kalman filter algorithm

J Xie, X Wei, X Bo, P Zhang, P Chen, W Hao… - Frontiers in Energy …, 2023 - frontiersin.org
Due to excellent power and energy density, low self-discharge and long life, lithium-ion
battery plays an important role in many fields. Directed against the complexity of above …