Artificial intelligence applied to battery research: hype or reality?
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
[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 …
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 …
Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …
A review on battery modelling techniques
The growing demand for electrical energy and the impact of global warming leads to a
paradigm shift in the power sector. This has led to the increased usage of renewable energy …
paradigm shift in the power sector. This has led to the increased usage of renewable energy …
Machine learning applied to electrified vehicle battery state of charge and state of health estimation: State-of-the-art
The growing interest and recent breakthroughs in artificial intelligence and machine learning
(ML) have actively contributed to an increase in research and development of new methods …
(ML) have actively contributed to an increase in research and development of new methods …
LSTM-based battery remaining useful life prediction with multi-channel charging profiles
Remaining useful life (RUL) prediction of lithium-ion batteries can reduce the risk of battery
failure by predicting the end of life. In this paper, we propose novel RUL prediction …
failure by predicting the end of life. In this paper, we propose novel RUL prediction …
Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues …
State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …
[HTML][HTML] State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles
An accurate aging forecasting and state of health estimation is essential for a safe and
economically valuable usage of lithium-ion batteries. However, the non-linear aging of …
economically valuable usage of lithium-ion batteries. However, the non-linear aging of …
A state‐of‐health estimation method considering capacity recovery of lithium batteries
Y Guo, P Yu, C Zhu, K Zhao, L Wang… - International Journal of …, 2022 - Wiley Online Library
At present, the rapid development of new energy sources makes lithium‐ion batteries (LIBs)
widely used, but LIBs will inevitably age during using. State of health (SOH) is a direct …
widely used, but LIBs will inevitably age during using. State of health (SOH) is a direct …