Critical summary and perspectives on state-of-health of lithium-ion battery

B Yang, Y Qian, Q Li, Q Chen, J Wu, E Luo… - … and Sustainable Energy …, 2024 - Elsevier
The rapid development of lithium-ion battery (LIB) technology promotes its wide application
in electric vehicle (EV), aerospace, and mobile electronic equipment. During application …

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 …

An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries

H Xu, L Wu, S **ong, W Li, A Garg, L Gao - Energy, 2023 - Elsevier
Abstract Accurate SOH (State of Health) estimation is one of the key technologies to ensure
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …

Recent progress in the thermal management of lithium-ion batteries

K Osmani, M Alkhedher, M Ramadan, DS Choi… - Journal of Cleaner …, 2023 - Elsevier
Lithium-ion batteries are a promising solution for energy storage in various applications,
such as electric vehicles and building facilities. However, they are immensely sensitive to …

A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application

J Peng, J Meng, J Wu, Z Deng, M Lin, S Mao… - Journal of Energy …, 2023 - Elsevier
To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …

State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism

Y Jiang, Y Chen, F Yang, W Peng - Journal of Power Sources, 2023 - Elsevier
Accurate state of health (SOH) estimation is significantly important to ensure the safe and
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …

State of health estimation for lithium-ion batteries using random forest and gated recurrent unit

X Wang, B Hu, X Su, L Xu, D Zhu - Journal of Energy Storage, 2024 - Elsevier
Lithium-ion batteries are widely used in electric vehicles, energy storage and other fields,
and the State of Health (SOH) estimation of lithium-ion batteries are key to ensure the safe …

[HTML][HTML] Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems

E Vanem, CB Salucci, A Bakdi… - Journal of Energy Storage, 2021 - Elsevier
Battery systems are becoming an increasingly attractive alternative for powering ocean
going ships, and the number of fully electric or hybrid ships relying on battery power for …

Remaining useful life prediction of lithium-ion battery using a novel particle filter framework with grey neural network

L Chen, Y Ding, B Liu, S Wu, Y Wang, H Pan - Energy, 2022 - Elsevier
Abstract Remaining Useful Life (RUL) prediction of lithium-ion batteries is critically vital to
ensure the safety and reliability of EVs. Because of the complex aging mechanism, accurate …

Data-driven methods for predicting the state of health, state of charge, and remaining useful life of li-ion batteries: A comprehensive review

E Kim, M Kim, J Kim, J Kim, JH Park, KT Kim… - International Journal of …, 2023 - Springer
Lithium-ion batteries are widely used in electric vehicles, electronic devices, and energy
storage systems owing to their high energy density, long life, and outstanding performance …