Key challenges for a large-scale development of battery electric vehicles: A comprehensive review

BE Lebrouhi, Y Khattari, B Lamrani, M Maaroufi… - Journal of Energy …, 2021 - Elsevier
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …

A review on passive and active strategies of enhancing the safety of lithium-ion batteries

Y Qiu, F Jiang - International Journal of Heat and Mass Transfer, 2022 - Elsevier
Lithium-ion battery (LIB) becomes the dominant candidate for electric vehicles (EVs) and
energy storage systems (ESSs); nevertheless, as its popularization, the number of safety …

A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries

MF Ge, Y Liu, X Jiang, J Liu - Measurement, 2021 - Elsevier
Lithium-ion batteries have been generally used in industrial applications. In order to ensure
the safety of the power system and reduce the operation cost, it is particularly important to …

A review of the state of health for lithium-ion batteries: Research status and suggestions

H Tian, P Qin, K Li, Z Zhao - Journal of Cleaner Production, 2020 - Elsevier
Lithium-ion batteries (LIBs) have become the mainstream power source for battery electric
vehicles (BEVs) with relatively superior performance. However, LIBs experience battery …

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 …

[HTML][HTML] On the use of electrochemical impedance spectroscopy to characterize and model the aging phenomena of lithium-ion batteries: a critical review

P Iurilli, C Brivio, V Wood - Journal of Power Sources, 2021 - Elsevier
Abstract Electrochemical Impedance Spectroscopy (EIS) is a powerful non-invasive
technique used to characterize Lithium-ion cells. Its application allows to identify and track …

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

MSH Lipu, MA Hannan, A Hussain, MM Hoque… - Journal of cleaner …, 2018 - Elsevier
Electric vehicles (EVs) have become increasingly popular due to zero carbon emission,
reduction of fossil fuel reserve, comfortable and light transport. However, EVs employing …

[HTML][HTML] Nonlinear health evaluation for lithium-ion battery within full-lifespan

H You, J Zhu, X Wang, B Jiang, H Sun, X Liu… - Journal of Energy …, 2022 - Elsevier
Abstract Lithium-ion batteries (LIBs), as the first choice for green batteries, have been widely
used in energy storage, electric vehicles, 3C devices, and other related fields, and will have …

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

Z Xue, Y Zhang, C Cheng, G Ma - Neurocomputing, 2020 - Elsevier
To solve the problem of the inaccurate prediction on remaining useful life (RUL) for lithium-
ion battery, we proposed an integrated algorithm which combines adaptive unscented …

State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

X Shu, S Shen, J Shen, Y Zhang, G Li, Z Chen, Y Liu - Iscience, 2021 - cell.com
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …