Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …
significance for a smart battery management system to ensure safe and optimal use of the …
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 …
A deep feature learning method for remaining useful life prediction of drilling pumps
J Guo, JL Wan, Y Yang, L Dai, A Tang, B Huang… - Energy, 2023 - Elsevier
Abstract Remaining Useful Life (RUL) prediction of drilling pumps, pivotal components in
fossil energy production, is essential for efficient maintenance and safe operation of such …
fossil energy production, is essential for efficient maintenance and safe operation of such …
Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network
Accurate and reliable prediction of the battery capacity degradation is vital for predictive
health management. This paper proposes a novel framework to improve the accuracy and …
health management. This paper proposes a novel framework to improve the accuracy and …
A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions
F von Bülow, T Meisen - Journal of Energy Storage, 2023 - Elsevier
The ageing of Lithium-ion batteries can be described as change of state of health (∆ SOH). It
depends on the battery's operation during charging, discharging, and rest phases. Mapping …
depends on the battery's operation during charging, discharging, and rest phases. Mapping …
[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …
applications. The current motivation to improve the robustness of lithium-ion battery …
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 …
A Review of Expert Hybrid and Co-Estimation Techniques for SOH and RUL Estimation in Battery Management System with Electric Vehicle Application
To improve the functionality and efficiency of electric vehicles (EVs), the smart battery
management system (BMS) is essential. The accurate estimation of the state of health (SOH) …
management system (BMS) is essential. The accurate estimation of the state of health (SOH) …
Artificial intelligence-based data-driven prognostics in industry: A survey
MA El-Brawany, DA Ibrahim, HK Elminir… - Computers & Industrial …, 2023 - Elsevier
In the age of Industry 5.0, prognostics and health management (PHM) is very important for
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
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 …