A comprehensive review of lithium-ion batteries modeling, and state of health and remaining useful lifetime prediction

M Elmahallawy, T Elfouly, A Alouani… - Ieee …, 2022 - ieeexplore.ieee.org
According to the United States environmental protection agency (EPA), every burned gallon
of gasoline generates 8.87 Kg of CO2. The pollution created by vehicles' fuel consumption …

[HTML][HTML] Remaining useful life prediction for lithium-ion battery storage system: A comprehensive review of methods, key factors, issues and future outlook

S Ansari, A Ayob, MSH Lipu, A Hussain, MHM Saad - Energy Reports, 2022 - Elsevier
Developing battery storage systems for clean energy applications is fundamental for
addressing carbon emissions problems. Consequently, battery remaining useful life …

Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network

S Zhao, C Zhang, Y Wang - Journal of Energy Storage, 2022 - Elsevier
In order for lithium-ion batteries to function reliably and safely, accurate capacity and
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …

Battery lifetime prognostics

X Hu, L Xu, X Lin, M Pecht - Joule, 2020 - cell.com
Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

Failure prognosis and applications—A survey of recent literature

M Kordestani, M Saif, ME Orchard… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …

Lithium-ion battery State-of-Charge estimation based on an improved Coulomb-Counting algorithm and uncertainty evaluation

F Mohammadi - Journal of Energy Storage, 2022 - Elsevier
An accurate estimation of the State-of-Charge (SoC) for a battery is the key to designing an
efficient Battery Management System (BMS). This is due to the fact that SoC cannot be …

Remaining useful life prediction for supercapacitor based on long short-term memory neural network

Y Zhou, Y Huang, J Pang, K Wang - Journal of Power Sources, 2019 - Elsevier
The remaining useful life prediction of supercapacitor is an important part of the
supercapacitor management system. In order to improve the reliability of the entire …

Remaining useful life estimation for prognostics of lithium-ion batteries based on recurrent neural network

M Catelani, L Ciani, R Fantacci… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Prognostic and condition-based maintenance of lithium-ion batteries is a fundamental topic,
which is rapidly expanding since a long battery lifetime is required to ensure economic …

A critical review of online battery remaining useful lifetime prediction methods

S Wang, S Jin, D Deng, C Fernandez - Frontiers in Mechanical …, 2021 - frontiersin.org
Lithium-ion batteries play an important role in our daily lives. The prediction of the remaining
service life of lithium-ion batteries has become an important issue. This article reviews the …

Augmented model-based framework for battery remaining useful life prediction

A Thelen, M Li, C Hu, E Bekyarova, S Kalinin… - Applied Energy, 2022 - Elsevier
Traditional, model-based approaches for predicting the remaining useful life (RUL) of a
rechargeable battery cell simply update and extrapolate a mathematical model which …