A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions
F von Bülow, T Meisen - Journal of Energy Storage, 2023 - Elsevier
The ageing of Lithium-ion batteries can be described as change of state of health (∆ SOH). It
depends on the battery's operation during charging, discharging, and rest phases. Mapping …
depends on the battery's operation during charging, discharging, and rest phases. Mapping …
Analyzing electric vehicle battery health performance using supervised machine learning
Lithium-ion batteries having high energy and power densities, fast depleting cost, and
multifaceted technological improvement lead to the first choice for electric transportation …
multifaceted technological improvement lead to the first choice for electric transportation …
Battery health management using physics-informed machine learning: Online degradation modeling and remaining useful life prediction
Lithium-ion batteries have been extensively used to power portable electronics, electric
vehicles, and unmanned aerial vehicles over the past decade. Aging decreases the capacity …
vehicles, and unmanned aerial vehicles over the past decade. Aging decreases the capacity …
Remaining useful life prediction of lithium battery based on capacity regeneration point detection
Q Ma, Y Zheng, W Yang, Y Zhang, H Zhang - Energy, 2021 - Elsevier
Lithium batteries have been widely used in various electronic devices, and the accurate
prediction of its remaining useful life (RUL) can prevent the occurrence of sudden equipment …
prediction of its remaining useful life (RUL) can prevent the occurrence of sudden equipment …
Application of digital twin in smart battery management systems
W Wang, J Wang, J Tian, J Lu, R Xiong - Chinese Journal of Mechanical …, 2021 - Springer
Lithium-ion batteries have always been a focus of research on new energy vehicles,
however, their internal reactions are complex, and problems such as battery aging and …
however, their internal reactions are complex, and problems such as battery aging and …
Optimized data-driven approach for remaining useful life prediction of Lithium-ion batteries based on sliding window and systematic sampling
The prediction of remaining useful life (RUL) in lithium-ion batteries (LIB) serves as a critical
health index for evaluating battery parameters, including efficiency, robustness, and …
health index for evaluating battery parameters, including efficiency, robustness, and …
Remaining useful life prediction of lithium-ion battery via a sequence decomposition and deep learning integrated approach
The remaining useful life (RUL) prediction of Lithium-ion batteries (LIBs) is of great
importance to the health management of electric vehicles and hybrid electric vehicles …
importance to the health management of electric vehicles and hybrid electric vehicles …
Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life
The accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is very
important for battery management systems and predictive maintenance. However, lithium …
important for battery management systems and predictive maintenance. However, lithium …
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
A Kara - Neural Computing and Applications, 2021 - Springer
Remaining useful life estimation is gaining attention in many real-world applications to
alleviate maintenance expenses and increase system reliability and efficiency. Deep …
alleviate maintenance expenses and increase system reliability and efficiency. Deep …
An estimation model for state of health of lithium-ion batteries using energy-based features
L Cai, J Lin, X Liao - Journal of Energy Storage, 2022 - Elsevier
Lithium-ion batteries are pervasive in the renewable-energy based market. A key but
challenging issue is accurate state of health (SOH) estimation in battery health monitoring …
challenging issue is accurate state of health (SOH) estimation in battery health monitoring …