A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling

H Rauf, M Khalid, N Arshad - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
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 …

Battery lifetime prognostics

X Hu, L Xu, X Lin, M Pecht - Joule, 2020 - cell.com
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 …

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 …

Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

H Dai, B Jiang, X Hu, X Lin, X Wei, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …

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 …

Data-driven prediction of battery cycle life before capacity degradation

KA Severson, PM Attia, N **, N Perkins, B Jiang… - Nature Energy, 2019 - nature.com
Accurately predicting the lifetime of complex, nonlinear systems such as lithium-ion batteries
is critical for accelerating technology development. However, diverse aging mechanisms …

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

G Ma, S Xu, B Jiang, C Cheng, X Yang… - Energy & …, 2022 - pubs.rsc.org
Real-time and personalized lithium-ion battery health management is conducive to safety
improvement for end-users. However, personalized prognostic of the battery health status is …

Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection

J Zhang, Y Jiang, X Li, H Luo, S Yin… - … ASME Transactions on …, 2022 - ieeexplore.ieee.org
As an indispensable energy device, 18650 lithium-ion battery has widespread applications
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …

Sorting, regrou**, and echelon utilization of the large-scale retired lithium batteries: A critical review

X Lai, Y Huang, C Deng, H Gu, X Han, Y Zheng… - … and Sustainable Energy …, 2021 - Elsevier
With the rapid development of electric vehicles, the safe and environmentally friendly
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …