A review of SOH prediction of Li-ion batteries based on data-driven algorithms

M Zhang, D Yang, J Du, H Sun, L Li, L Wang, K Wang - Energies, 2023 - mdpi.com
As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in
various fields due to their remarkable advantages. The high level of precision in estimating …

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Y Zhang, YF Li - Renewable and sustainable energy reviews, 2022 - Elsevier
Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …

Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

J Zhu, Y Wang, Y Huang, R Bhushan Gopaluni… - Nature …, 2022 - nature.com
Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion
batteries. In particular, exploiting the relaxation voltage curve features could enable battery …

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 Jin, 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 …

Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data

J Yao, T Han - Energy, 2023 - Elsevier
Accurate estimation of lithium-ion battery capacity is crucial for ensuring its safety and
reliability. While data-driven modelling is a common approach for capacity estimation …

A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries

B Jiang, J Zhu, X Wang, X Wei, W Shang, H Dai - Applied Energy, 2022 - Elsevier
Battery state of health (SOH) estimation is a critical but challenging demand in advanced
battery management technologies. As an essential parameter, battery impedance contains …

A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction

Y Ma, C Shan, J Gao, H Chen - Energy, 2022 - Elsevier
State of health (SOH) is a crucial challenge to guarantee the reliability and safety of the
electric vehicles (EVs), due to the complex aging mechanism. A novel SOH estimation …

A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries

K Luo, X Chen, H Zheng, Z Shi - Journal of Energy Chemistry, 2022 - Elsevier
In the field of energy storage, it is very important to predict the state of charge and the state of
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …

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

S Wang, S Jin, 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 …

The challenge and opportunity of battery lifetime prediction from field data

V Sulzer, P Mohtat, A Aitio, S Lee, YT Yeh… - Joule, 2021 - cell.com
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …