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 …
[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
Machine learning pipeline for battery state-of-health estimation
Lithium-ion batteries are ubiquitous in applications ranging from portable electronics to
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …
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 …
Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …
high driving range with appropriate reliability and security are identified as the key towards …
A data-driven auto-CNN-LSTM prediction model for lithium-ion battery remaining useful life
L Ren, J Dong, X Wang, Z Meng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Integration of each aspect of the manufacturing process with the new generation of
information technology such as the Internet of Things, big data, and cloud computing makes …
information technology such as the Internet of Things, big data, and cloud computing makes …
Battery lifetime prognostics
Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …
[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
[HTML][HTML] An asymmetric encoder–decoder model for Zn-ion battery lifetime prediction
As the battery cycles between charging and discharging, the working conditions or improper
operations such as overcharge and over discharge will aggravate the negative reaction …
operations such as overcharge and over discharge will aggravate the negative reaction …
A hybrid neural network model with attention mechanism for state of health estimation of lithium-ion batteries
A Tang, Y Jiang, Q Yu, Z Zhang - Journal of Energy Storage, 2023 - Elsevier
Reliable state of health (SOH) estimation is significant for safe operation of lithium-ion
batteries (LIBs). However, due to the strong nonlinearity of battery degradation and complex …
batteries (LIBs). However, due to the strong nonlinearity of battery degradation and complex …