[HTML][HTML] Cycle life prediction of lithium-ion batteries based on data-driven methods
Predicting the cycle life of lithium-ion batteries (LIBs) is crucial for their applications in
electric vehicles. Traditional predicting methods are limited by the complex and nonlinear …
electric vehicles. Traditional predicting methods are limited by the complex and nonlinear …
Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning
Accurate forecasting of state-of-health and remaining useful life of Li-ion batteries ensure
their safe and reliable operation. Most previous data-driven prediction methods assume the …
their safe and reliable operation. Most previous data-driven prediction methods assume the …
Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition
B Jiang, H Dai, X Wei - Applied Energy, 2020 - Elsevier
Incremental capacity analysis (ICA) has been widely employed to investigate the
degradation mechanism and perform the capacity estimation of lithium-ion batteries …
degradation mechanism and perform the capacity estimation of lithium-ion batteries …
Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles
Data‐driven modeling using measurable battery signals tends to provide robust battery
capacity estimation without delving deep into electrochemical phenomenon inside the …
capacity estimation without delving deep into electrochemical phenomenon inside the …
A method to estimate battery SOH indicators based on vehicle operating data only
Batteries are multi-physical systems and during actual operating conditions they are
submitted to variable ambient operating conditions which can affect the dynamic behavior …
submitted to variable ambient operating conditions which can affect the dynamic behavior …
[HTML][HTML] Hybrid fuel cell system degradation modeling methods: A comprehensive review
Last years, the fuel cell has become well-known as an efficient and clean energy converter
being a potential alternative to internal combustion engines. However, despite being very …
being a potential alternative to internal combustion engines. However, despite being very …
[HTML][HTML] Digital technology implementation in battery-management systems for sustainable energy storage: Review, challenges, and recommendations
Energy storage systems (ESS) are among the fastest-growing electrical power system due to
the changing worldwide geography for electrical distribution and use. Traditionally, methods …
the changing worldwide geography for electrical distribution and use. Traditionally, methods …
Augmented model-based framework for battery remaining useful life prediction
Traditional, model-based approaches for predicting the remaining useful life (RUL) of a
rechargeable battery cell simply update and extrapolate a mathematical model which …
rechargeable battery cell simply update and extrapolate a mathematical model which …
Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer
Lithium-ion battery is considered as one of the most successful energy storage methods
which enables the sustainability of the renewable energy systems subject to high …
which enables the sustainability of the renewable energy systems subject to high …
Lithium-ion battery state of health estimation based on multi-source health indicators extraction and sparse Bayesian learning
X Li, M Lyu, K Li, X Gao, C Liu, Z Zhang - Energy, 2023 - Elsevier
A concise and accurate method for estimating the state of health (SOH) of lithium-ion
batteries in the on-board energy management system is critical. However, SOH cannot be …
batteries in the on-board energy management system is critical. However, SOH cannot be …