[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 …

Sensing as the key to the safety and sustainability of new energy storage devices

Z Yi, Z Chen, K Yin, L Wang… - Protection and Control of …, 2023 - ieeexplore.ieee.org
New energy storage devices such as batteries and supercapacitors are widely used in
various fields because of their irreplaceable excellent characteristics. Because there are …

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

S Wang, Y Fan, S **, P Takyi-Aninakwa… - Reliability Engineering & …, 2023 - Elsevier
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 …

Towards long lifetime battery: AI-based manufacturing and management

K Liu, Z Wei, C Zhang, Y Shang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …

A review of early warning methods of thermal runaway of lithium ion batteries

D Kong, H Lv, P **, G Wang - Journal of Energy Storage, 2023 - Elsevier
Lithium-ion batteries (LIBs) are booming in the field of energy storage due to their
advantages of high specific energy, long service life and so on. However, thermal runaway …

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 …

Smart batteries enabled by implanted flexible sensors

Y Lu, X Wang, S Mao, D Wang, D Sun, Y Sun… - Energy & …, 2023 - pubs.rsc.org
Growing demand for high energy storage density is driving lithium-ion batteries (LIBs) to
increasingly large design sizes, and the enhancement of battery charging and discharging …

[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods

W Guo, Z Sun, SB Vilsen, J Meng, DI Stroe - Journal of Energy Storage, 2022 - Elsevier
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …

The application of data-driven methods and physics-based learning for improving battery safety

DP Finegan, J Zhu, X Feng, M Keyser, M Ulmefors… - Joule, 2021 - cell.com
Enabling accurate prediction of battery failure will lead to safer battery systems, as well as
accelerating cell design and manufacturing processes for increased consistency and …

Embedded distributed temperature sensing enabled multistate joint observation of smart lithium-ion battery

Z Wei, J Hu, H He, Y Yu, J Marco - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate monitoring of the internal statuses is highly valuable for the management of the
lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate …