State-of-charge estimation and remaining useful life prediction of supercapacitors
As a new type of energy storage device, supercapacitors are widely applied in various fields
owing to their irreplaceable extraordinary characteristics. The remaining useful life …
owing to their irreplaceable extraordinary characteristics. The remaining useful life …
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 …
A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current
D Shen, L Wu, G Kang, Y Guan, Z Peng - Energy, 2021 - Elsevier
Lithium-ion batteries are widely used in many electronic and electrical devices, and
accurately predicting their remaining useful life is essential to ensure the safe and reliable …
accurately predicting their remaining useful life is essential to ensure the safe and reliable …
Lithium-ion batteries health prognosis considering aging conditions
The prognosis and health management of lithium-ion batteries are extremely important
issues for operating performance as well as the cost of energy storage systems in vehicular …
issues for operating performance as well as the cost of energy storage systems in vehicular …
Parallel state fusion LSTM-based early-cycle stage lithium-ion battery RUL prediction under Lebesgue sampling framework
G Lyu, H Zhang, Q Miao - Reliability Engineering & System Safety, 2023 - Elsevier
Remaining useful life (RUL) prediction for lithium-ion batteries in early-cycle stage is of great
significance for improving battery performance and reducing losses caused by accidental …
significance for improving battery performance and reducing losses caused by accidental …
An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network
W Li, Z Jiao, L Du, W Fan, Y Zhu - International Journal of Hydrogen Energy, 2019 - Elsevier
Remaining useful life (RUL) prognosis of lithium-ion battery can appraise the battery
reliability to determine the advent of failure and mitigate risk. To acquire measurement data …
reliability to determine the advent of failure and mitigate risk. To acquire measurement data …
Deep learning prognostics for lithium-ion battery based on ensembled long short-term memory networks
Y Liu, G Zhao, X Peng - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, a notable development for predicting the remaining useful life (RUL) of
components is prognostics that use data-driven approaches based on deep learning. In …
components is prognostics that use data-driven approaches based on deep learning. In …
Model-based health diagnosis for lithium-ion battery pack in space applications
Lithium-ion battery packs are critical to ensure the operational reliability and service life of
spacecraft. The battery pack health diagnosis is meaningful for reasonable mission plan and …
spacecraft. The battery pack health diagnosis is meaningful for reasonable mission plan and …
RUL prediction and uncertainty management for multisensor system using an integrated data-level fusion and UPF approach
Due to the fact that single sensor data contains only partial information about complex
systems, multiple sensors are often embedded to simultaneously monitor the health state …
systems, multiple sensors are often embedded to simultaneously monitor the health state …
Cost-effective Lebesgue sampling long short-term memory networks for lithium-ion batteries diagnosis and prognosis
Diagnosis and prognosis are critical for the safe operation of lithium-ion batteries in avoiding
serious damage and economic loss caused by power failure, fire, or explosion. With …
serious damage and economic loss caused by power failure, fire, or explosion. With …