A comprehensive review of lithium-ion batteries modeling, and state of health and remaining useful lifetime prediction
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 …
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
Developing battery storage systems for clean energy applications is fundamental for
addressing carbon emissions problems. Consequently, battery remaining useful life …
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 …
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …
Failure prognosis and applications—A survey of recent literature
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 …
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 …
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
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 …
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 …
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
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 …
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
Traditional, model-based approaches for predicting the remaining useful life (RUL) of a
rechargeable battery cell simply update and extrapolate a mathematical model which …
rechargeable battery cell simply update and extrapolate a mathematical model which …