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 …

Analyzing electric vehicle battery health performance using supervised machine learning

K Das, R Kumar, A Krishna - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
Lithium-ion batteries having high energy and power densities, fast depleting cost, and
multifaceted technological improvement lead to the first choice for electric transportation …

Roadmap for a sustainable circular economy in lithium-ion and future battery technologies

GDJ Harper, E Kendrick, PA Anderson… - Journal of Physics …, 2023 - iopscience.iop.org
The market dynamics, and their impact on a future circular economy for lithium-ion batteries
(LIB), are presented in this roadmap, with safety as an integral consideration throughout the …

[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods

W Guo, Z Sun, SB Vilsen, J Meng, DI Stroe - Journal of Energy Storage, 2022 - Elsevier
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …

State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism

Y Jiang, Y Chen, F Yang, W Peng - Journal of Power Sources, 2023 - Elsevier
Accurate state of health (SOH) estimation is significantly important to ensure the safe and
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …

[HTML][HTML] Physics-based model informed smooth particle filter for remaining useful life prediction of lithium-ion battery

M Al-Greer, I Bashir - Measurement, 2023 - Elsevier
Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is essential for
battery management systems (BMS) as rapid capacity declines and failure can impact …

Design of cost-based sizing and energy management framework for standalone microgrid using reinforcement learning

Y Khawaja, I Qiqieh, J Alzubi, O Alzubi, A Allahham… - Solar Energy, 2023 - Elsevier
The standalone photovoltaic-battery energy storage (PV-BES) microgrid has gained
substantial interest recently due to its ability to provide uninterrupted power to consumers in …

Electric vehicle battery capacity degradation and health estimation using machine-learning techniques: A review

K Das, R Kumar - Clean Energy, 2023 - academic.oup.com
Lithium-ion batteries have an essential characteristic in consumer electronics applications
and electric mobility. However, predicting their lifetime performance is a difficult task due to …

An optimized random forest regression model for li-ion battery prognostics and health management

G Wang, Z Lyu, X Li - Batteries, 2023 - mdpi.com
This study proposes an optimized random forest regression model to achieve online battery
prognostics and health management. To estimate the battery state of health (SOH), two …

Multilevel data-driven battery management: From internal sensing to big data utilization

Z Wei, K Liu, X Liu, Y Li, L Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A battery management system (BMS) is essential for the safety and longevity of lithium-ion
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …