A review of SOH prediction of Li-ion batteries based on data-driven algorithms
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 …
various fields due to their remarkable advantages. The high level of precision in estimating …
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 …
Transformer network for remaining useful life prediction of lithium-ion batteries
D Chen, W Hong, X Zhou - Ieee Access, 2022 - ieeexplore.ieee.org
Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important
role in managing the health and estimating the state of a battery. With the rapid development …
role in managing the health and estimating the state of a battery. With the rapid development …
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 …
Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
Online estimations of Li-ion battery SOC and SOH applicable to partial charge/discharge
A Bavand, SA Khajehoddin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Estimating the state of health (SOH) and state of charge (SOC) of lithium-ion batteries is
crucial for increasing the battery lifetime and performance. Many estimation methods are …
crucial for increasing the battery lifetime and performance. Many estimation methods are …
An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries
During the multi-cycle operation of a Li-ion battery, its process dynamics evolve in two
distinct timescales: slow degradation dynamics over multiple cycles and fast cycling …
distinct timescales: slow degradation dynamics over multiple cycles and fast cycling …
Improvement of marine steam turbine conventional exergy analysis by neural network application
This article presented an improvement of marine steam turbine conventional exergy analysis
by application of neural networks. The conventional exergy analysis requires numerous …
by application of neural networks. The conventional exergy analysis requires numerous …
Remaining useful life prediction of lithium-ion batteries by using a denoising transformer-based neural network
In this study, we introduce a novel denoising transformer-based neural network (DTNN)
model for predicting the remaining useful life (RUL) of lithium-ion batteries. The proposed …
model for predicting the remaining useful life (RUL) of lithium-ion batteries. The proposed …
[HTML][HTML] Investigation of the performance of direct forecasting strategy using machine learning in State-of-Charge prediction of Li-ion batteries exposed to dynamic …
A Dineva, B Csomós, SK Sz, I Vajda - Journal of Energy Storage, 2021 - Elsevier
On account of intense technological advances regarding Electric Vehicles, the state
evaluation and prediction issues of Li-ion cells have become increasingly important for …
evaluation and prediction issues of Li-ion cells have become increasingly important for …