[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

S Wang, S **, D Bai, Y Fan, H Shi, C Fernandez - Energy Reports, 2021 - Elsevier
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …

Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement

Z Wei, J Zhao, H He, G Ding, H Cui, L Liu - Journal of Power Sources, 2021 - Elsevier
Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the
renewable penetration, electrified transportation, and portable electronics. A reliable battery …

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current …

S Wang, P Takyi-Aninakwa, S **, C Yu, C Fernandez… - Energy, 2022 - Elsevier
The whole-life-cycle state of charge (SOC) prediction plays a significant role in various
applications of lithium-ion batteries, but with great difficulties due to their internal capacity …

[HTML][HTML] A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries

S Wang, P Ren, P Takyi-Aninakwa, S **, C Fernandez - Energies, 2022 - mdpi.com
Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …

State-of-health estimation of lithium-ion batteries by fusing an open circuit voltage model and incremental capacity analysis

X Bian, Z Wei, W Li, J Pou, DU Sauer… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The state of health (SOH) is a vital parameter enabling the reliability and life diagnostic of
lithium-ion batteries. A novel fusion-based SOH estimator is proposed in this study, which …

Predictive battery health management with transfer learning and online model correction

Y Che, Z Deng, X Lin, L Hu, X Hu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Significant progress has been made in transportation electrification in recent years. As the
main energy storage device, lithium-ion batteries are one of the key components that need …

State of health estimation and remaining useful life assessment of lithium-ion batteries: A comparative study

Y Toughzaoui, SB Toosi, H Chaoui, H Louahlia… - Journal of Energy …, 2022 - Elsevier
Lithium-ion batteries are widely used due to their attractive features. They have emerged as
the primary storage system for electric cars, solar power, and marine vehicles …

[HTML][HTML] A review of lithium-ion battery fire suppression

M Ghiji, V Novozhilov, K Moinuddin, P Joseph, I Burch… - Energies, 2020 - mdpi.com
Lithium-ion batteries (LiBs) are a proven technology for energy storage systems, mobile
electronics, power tools, aerospace, automotive and maritime applications. LiBs have …

Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithm

X Li, C Yuan, Z Wang, J He, S Yu - Etransportation, 2022 - Elsevier
State of health estimation (SOH) and remaining useful lifetime (RUL) prediction are
significant health indicators for improving the safety and reliability of battery systems. Herein …

Automated feature extraction and selection for data-driven models of rapid battery capacity fade and end of life

S Greenbank, D Howey - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Lithium-ion cells may experience rapid degradation in later life, especially with more
extreme usage protocols. The onset of rapid degradation is called the “knee point,” and …