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 …

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 …

Critical review on the battery state of charge estimation methods for electric vehicles

R **ong, J Cao, Q Yu, H He, F Sun - Ieee Access, 2017 - ieeexplore.ieee.org
Battery technology is the bottleneck of the electric vehicles (EVs). It is important, both in
theory and practical application, to do research on the modeling and state estimation of …

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

S Shen, M Sadoughi, M Li, Z Wang, C Hu - Applied Energy, 2020 - Elsevier
It is often difficult for a machine learning model trained based on a small size of
charge/discharge cycling data to produce satisfactory accuracy in the capacity estimation of …

Porous electrode modeling and its applications to Li‐ion batteries

Z Chen, DL Danilov, RA Eichel… - Advanced Energy …, 2022 - Wiley Online Library
Battery modeling has become increasingly important with the intensive development of Li‐
ion batteries (LIBs). The porous electrode model, relating battery performances to the …

Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles

W Waag, C Fleischer, DU Sauer - Journal of Power Sources, 2014 - Elsevier
Lithium-ion battery packs in hybrid and pure electric vehicles are always equipped with a
battery management system (BMS). The BMS consists of hardware and software for battery …

Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order calculus

X Hu, H Yuan, C Zou, Z Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Lithium-ion batteries have emerged as the state-of-the-art energy storage for portable
electronics, electrified vehicles, and smart grids. An enabling Battery Management System …

A review on battery modelling techniques

S Tamilselvi, S Gunasundari, N Karuppiah… - Sustainability, 2021 - mdpi.com
The growing demand for electrical energy and the impact of global warming leads to a
paradigm shift in the power sector. This has led to the increased usage of renewable energy …

Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries

K Liu, Y Gao, C Zhu, K Li, M Fei, C Peng… - Control Engineering …, 2022 - Elsevier
Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …

Co-estimation of state-of-charge and state-of-health for lithium-ion batteries using an enhanced electrochemical model

Y Gao, K Liu, C Zhu, X Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Real-time electrochemical state information of lithium-ion batteries attributes to a high-fidelity
estimation of state-of-charge (SOC) and state-of-health (SOH) in advanced battery …