A review of lithium-ion battery state of health estimation and prediction methods
L Yao, S Xu, A Tang, F Zhou, J Hou, Y Xiao… - World Electric Vehicle …, 2021 - mdpi.com
Lithium-ion power batteries have been widely used in transportation due to their advantages
of long life, high specific power, and energy. However, the safety problems caused by the …
of long life, high specific power, and energy. However, the safety problems caused by the …
[PDF][PDF] Uncertainty prediction of remaining useful life using long short-term memory network based on bootstrap method
Y Liao, L Zhang, C Liu - 2018 ieee international conference on …, 2018 - researchgate.net
(RUL) prediction have a significant influence on Condition Based Maintenance (CBM). Deep
learning methods, especially Long Short-Term Memory networks (LSTM), have been proven …
learning methods, especially Long Short-Term Memory networks (LSTM), have been proven …
Prediction of the remaining useful life of lithium-ion batteries based on empirical mode decomposition and deep neural networks
J Qiao, X Liu, Z Chen - IEEE Access, 2020 - ieeexplore.ieee.org
The prediction of the remaining useful life (RUL) of lithium-ion batteries (LIBs) is vital for the
battery management system used in electric vehicles. We can avoid unnecessary losses if …
battery management system used in electric vehicles. We can avoid unnecessary losses if …
Battery Remaining Useful Life Prediction Supported by Long Short-Term Memory Neural Network
I Marri, E Petkovski, L Cristaldi… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The rise of renewable energy and electric vehicles has led to enormous growth and
development in the field of lithium-ion batteries. Ensuring long-life and safe operation of …
development in the field of lithium-ion batteries. Ensuring long-life and safe operation of …
Remaining useful life prediction of lithium-ion batteries using semi-empirical model and bat-based particle filter
Y Lian, JV Wang, X Deng, J Kang… - … on Circuits and …, 2020 - ieeexplore.ieee.org
Lithium-ion batteries (LIBs) are widely adopted in electric vehicles and electronic
equipments due to their high energy density, low self-discharge rate, and long cycle life …
equipments due to their high energy density, low self-discharge rate, and long cycle life …
An innovative machine learning strategy for Lithium-Ion batteries Remaining Useful Life prediction and State of Health estimation
I Marri - 2021 - politesi.polimi.it
Nowadays, batteries, and in particular Lithium-Ion batteries, have become enormously used
in many systems and applications, and are absolutely the most widespread energy storing …
in many systems and applications, and are absolutely the most widespread energy storing …