Multi-model ensemble learning for battery state-of-health estimation: Recent advances and perspectives

C Lin, J Xu, D Jiang, J Hou, Y Liang, Z Zou… - Journal of Energy …, 2024 - Elsevier
The burgeoning market for lithium-ion batteries has stimulated a growing need for more
reliable battery performance monitoring. Accurate state-of-health (SOH) estimation is critical …

A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation

M Faraji Niri, K Aslansefat, S Haghi, M Hashemian… - Energies, 2023 - mdpi.com
Lithium–ion batteries play a crucial role in clean transportation systems including EVs,
aircraft, and electric micromobilities. The design of battery cells and their production process …

Full-process electric vehicles battery state of health estimation based on Informer novel model

Z He, X Ni, C Pan, S Hu, S Han - Journal of Energy Storage, 2023 - Elsevier
Accurately estimating state of health (SOH) of the power battery, as the core component of
electric vehicles (EVs), is of great significance to the safety of EVs and the sustainable …

Using tens of seconds of relaxation voltage to estimate open circuit voltage and state of health of lithium ion batteries

CJ Ko, KC Chen - Applied Energy, 2024 - Elsevier
Relaxation voltage (RV) of a battery is informative since it not only approximates open circuit
voltage (OCV) as time evolves, but it is also related to the battery's state of charge (SOC) and …

[HTML][HTML] Prognostics for Lithium-ion batteries for electric Vertical Take-off and Landing aircraft using data-driven machine learning

M Mitici, B Hennink, M Pavel, J Dong - Energy and AI, 2023 - Elsevier
The health management of batteries is a key enabler for the adoption of Electric Vertical
Take-off and Landing vehicles (eVTOLs). Currently, few studies consider the health …

Constructing battery impedance spectroscopy using partial current in constant-voltage charging or partial relaxation voltage

CJ Ko, KC Chen - Applied Energy, 2024 - Elsevier
Electrochemical impedance spectroscopy (EIS) is an important technique to measure the
impedance of lithium-ion batteries. However, practical applications of this technique are …

Fusion State-of-Health Estimation of Lithium-Ion Batteries Based on Improved XGBoost Algorithm and Adaptive Kalman Filter

P Tan, L Zhao, X Yang, A Yang… - Journal of The …, 2024 - iopscience.iop.org
Accurately predicting the state-of-health of lithium-ion batteries (LIBs) is of paramount
significance for safety and stability of battery systems. This paper introduces a fusion model …

Intelligent Diagnosis of Engine Failure in Air Vehicles Using the ALFA Dataset

IG Ferrão, LM Da Silva, SA Da Silva… - 2023 International …, 2023 - ieeexplore.ieee.org
Smart cities enable economic and social development through intelligent solutions to
various problems, such as access to essential services, mobility, unnecessary energy …

Offshore wind power output prediction based on convolutional attention mechanism

P Xie, Y Liu, Y Yang, X Lin, Y Chen… - Energy Sources, Part A …, 2023 - Taylor & Francis
To solve the problem that offshore wind power generation is susceptible to extreme weather
conditions that result in low accuracy of monitoring data, this work proposes a method for …

[PDF][PDF] MRO for VTOLs in a Functional Sequences Solution Space

S Papakonstantinou, D Kloock-Schreiber… - 34th Congress of the …, 2024 - icas.org
A crucial aspect of emission reduction in urban environments is the development of
electrically (or hydrogen) powered vertical take-off and landing vehicles (eVTOLs) and the …