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 …
Prognostics and health management of Lithium-ion battery using deep learning methods: A review
Y Zhang, YF Li - Renewable and sustainable energy reviews, 2022 - Elsevier
Prognostics and health management (PHM) is developed to guarantee the safety and
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …
reliability of Lithium-ion (Li-ion) battery during operations. Due to the advantages of deep …
Battery lifetime prognostics
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 …
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries
Lithium-ion batteries have been generally used in industrial applications. In order to ensure
the safety of the power system and reduce the operation cost, it is particularly important to …
the safety of the power system and reduce the operation cost, it is particularly important to …
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 …
State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
[PDF][PDF] A survey of predictive maintenance: Systems, purposes and approaches
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …
with emphasis on system architectures, purposes and approaches. In industry, any outages …
A comprehensive review of available battery datasets, RUL prediction approaches, and advanced battery management
Battery ensures power solutions for many necessary portable devices such as electric
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …
Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks
This paper presents a novel hybrid Elman-LSTM method for battery remaining useful life
prediction by combining the empirical model decomposition algorithm and long short-term …
prediction by combining the empirical model decomposition algorithm and long short-term …
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …
and hot topic in the battery management research field. Feature extraction is a key step for …