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 …
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
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …
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
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 …
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
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 …
intelligent battery and electrochemical energy storage systems. It is very challenging to …