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 …
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
B Rezaeianjouybari, Y Shang - Measurement, 2020 - Elsevier
Improving the reliability of engineered systems is a crucial problem in many applications in
various engineering fields, such as aerospace, nuclear energy, and water declination …
various engineering fields, such as aerospace, nuclear energy, and water declination …
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 …
A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
The state-of-health (SOH) estimation is always a crucial issue for lithium-ion batteries. In
order to provide an accurate and reliable SOH estimation, a novel Gaussian process …
order to provide an accurate and reliable SOH estimation, a novel Gaussian process …
A novel remaining useful life prediction method for lithium-ion battery based on long short-term memory network optimized by improved sparrow search algorithm
Y Liu, J Sun, Y Shang, X Zhang, S Ren… - Journal of Energy Storage, 2023 - Elsevier
The remaining useful life (RUL) estimation is one of the key functions of lithium-ion battery
management systems (BMS). After the battery reaches its end-of-life (EOL), its capacity …
management systems (BMS). After the battery reaches its end-of-life (EOL), its capacity …
[HTML][HTML] Gaussian process regression for forecasting battery state of health
Accurately predicting the future capacity and remaining useful life of batteries is necessary to
ensure reliable system operation and to minimise maintenance costs. The complex nature of …
ensure reliable system operation and to minimise maintenance costs. The complex nature of …
A data-driven predictive prognostic model for lithium-ion batteries based on a deep learning algorithm
P Khumprom, N Yodo - Energies, 2019 - mdpi.com
Prognostic and health management (PHM) can ensure that a lithium-ion battery is working
safely and reliably. The main approach of PHM evaluation of the battery is to determine the …
safely and reliably. The main approach of PHM evaluation of the battery is to determine the …
Artificial intelligence in prognostics and health management of engineering systems
S Ochella, M Shafiee, F Dinmohammadi - Engineering Applications of …, 2022 - Elsevier
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …
management of engineering systems and structures, where sensor hardware and decision …
Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles
This work provides an overview of available methods and algorithms for on-board capacity
estimation of lithium-ion batteries. An accurate state estimation for battery management …
estimation of lithium-ion batteries. An accurate state estimation for battery management …
Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction
Prognostics focuses on predicting the future performance of a system, specifically the time at
which the system no long performs its desired functionality, its time to failure. As an important …
which the system no long performs its desired functionality, its time to failure. As an important …