Lithium–ion battery data: from production to prediction

M Hassini, E Redondo-Iglesias, P Venet - Batteries, 2023 - mdpi.com
In our increasingly electrified society, lithium–ion batteries are a key element. To design,
monitor or optimise these systems, data play a central role and are gaining increasing …

Aging datasets of commercial lithium-ion batteries: A review

Q Mayemba, R Mingant, A Li, G Ducret… - Journal of Energy Storage, 2024 - Elsevier
Creating precise and data-driven battery aging models has emerged as a prominent focus
within the research community [[1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11]]. The accuracy of …

[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 …

A multi-stage lithium-ion battery aging dataset using various experimental design methodologies

F Stroebl, R Petersohn, B Schricker, F Schaeufl… - Scientific Data, 2024 - nature.com
This dataset encompasses a comprehensive investigation of combined calendar and cycle
aging in commercially available lithium-ion battery cells (Samsung INR21700-50E). A total …

A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs

S Jiao, G Zhang, M Zhou, G Li - IEEE Access, 2023 - ieeexplore.ieee.org
Battery-powered unmanned aerial vehicles (UAVs), also known as drones, have emerged
as the primary choice in the UAV market. The UAV Battery Management System (BMS) …

Machine learning approaches for assessing rechargeable battery state-of-charge in unmanned aircraft vehicle-eVTOL

MT Phung, MS Akhtar, OB Yang - Journal of Computational Science, 2024 - Elsevier
The long stability of electric vertical take-off and landing (eVTOL) aircraft is majorly
associated with energy storage devices like batteries. Lithium-ion battery (LIB) is frequently …

[HTML][HTML] General Machine Learning Approaches for Lithium-Ion Battery Capacity Fade Compared to Empirical Models

Q Mayemba, G Ducret, A Li, R Mingant, P Venet - Batteries, 2024 - mdpi.com
Today's growing demand for lithium-ion batteries across various industrial sectors has
introduced a new concern: battery aging. This issue necessitates the development of tools …

Performance comparison of fcn, lstm and gru for state of charge estimation

S RamPrakash, P Sivraj - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
The longevity and safety of lithium-ion (Li-ion) batteries depend on accurate State of Charge
(SoC), a key and vital characteristic in battery management systems (BMS) of electric …

Electric Vertical Take-Off and Landing (eVTOL) Vehicle Reliability and Safety Analysis

K Raigoza, A Chadwick… - ASME …, 2022 - asmedigitalcollection.asme.org
With the expansion of cosmopolitan areas resulting in an increase of traffic and
overcrowding came the creation of the urban air mobility (UAM) market. One technology that …