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 …

[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

X Sui, S He, SB Vilsen, J Meng, R Teodorescu, DI Stroe - Applied Energy, 2021 - Elsevier
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …

State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression

Q Li, D Li, K Zhao, L Wang, K Wang - Journal of Energy Storage, 2022 - Elsevier
The state of health (SOH) estimation plays an important role in keeping the safe and stable
operation of lithium-ion battery management system (BMS). To solve the problem of low …

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 …

[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 …

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 …

Concept review of a cloud-based smart battery management system for lithium-ion batteries: Feasibility, logistics, and functionality

MK Tran, S Panchal, TD Khang, K Panchal, R Fraser… - Batteries, 2022 - mdpi.com
Energy storage plays an important role in the adoption of renewable energy to help solve
climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy …

Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook

MSH Lipu, MA Hannan, TF Karim, A Hussain… - Journal of Cleaner …, 2021 - Elsevier
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …

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 …

Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning

J Lu, R Xiong, J Tian, C Wang, CW Hsu, NT Tsou… - Energy Storage …, 2022 - Elsevier
Accurate degradation trajectory and future life are the key information of a new generation of
intelligent battery and electrochemical energy storage systems. It is very challenging to …