Electrochemical impedance spectroscopy: A new chapter in the fast and accurate estimation of the state of health for lithium-ion batteries
Highlights What are the main findings? Rapid acquisition technology of electrochemical
impedance spectroscopy. EIS was used to quickly and effectively estimate the SOH of LIBs …
impedance spectroscopy. EIS was used to quickly and effectively estimate the SOH of LIBs …
A review of SOH prediction of Li-ion batteries based on data-driven algorithms
As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in
various fields due to their remarkable advantages. The high level of precision in estimating …
various fields due to their remarkable advantages. The high level of precision in estimating …
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries
Safety assurance is essential for lithium-ion batteries in power supply fields, and the
remaining useful life (RUL) prediction serves as one of the fundamental criteria for the …
remaining useful life (RUL) prediction serves as one of the fundamental criteria for the …
Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network
S Zhao, C Zhang, Y Wang - Journal of Energy Storage, 2022 - Elsevier
In order for lithium-ion batteries to function reliably and safely, accurate capacity and
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …
Electrochemical impedance spectroscopy based on the state of health estimation for lithium-ion batteries
Highlights EIS was used to estimate the SOH of LIBs found to be fast and effective. It is more
convenient to use CNN to extract features of EIS data automatically. The improved ECM …
convenient to use CNN to extract features of EIS data automatically. The improved ECM …
[HTML][HTML] Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
C Ferreira, G Gonçalves - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Approaches such as Cyber-Physical Systems (CPS), Internet of Things (IoT),
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …
Transformer network for remaining useful life prediction of lithium-ion batteries
D Chen, W Hong, X Zhou - Ieee Access, 2022 - ieeexplore.ieee.org
Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important
role in managing the health and estimating the state of a battery. With the rapid development …
role in managing the health and estimating the state of a battery. With the rapid development …
A data-model interactive remaining useful life prediction approach of lithium-ion batteries based on PF-BiGRU-TSAM
Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy
supply systems. In conventional data-driven RUL prediction approaches, the battery's …
supply systems. In conventional data-driven RUL prediction approaches, the battery's …
[HTML][HTML] The development of machine learning-based remaining useful life prediction for lithium-ion batteries
X Li, D Yu, VS Byg, SD Ioan - Journal of Energy Chemistry, 2023 - Elsevier
Lithium-ion batteries are the most widely used energy storage devices, for which the
accurate prediction of the remaining useful life (RUL) is crucial to their reliable operation and …
accurate prediction of the remaining useful life (RUL) is crucial to their reliable operation and …
A parallel hybrid neural network with integration of spatial and temporal features for remaining useful life prediction in prognostics
Prediction of remaining useful life (RUL) is an indispensable part of prognostics health
management (PHM) in complex systems. Considering the parallel integration of the spatial …
management (PHM) in complex systems. Considering the parallel integration of the spatial …