Results 281 to 290 of about 147,152 (326)

Modeling Acoustic Attenuation, Sound Velocity and Wave Propagation in Lithium‐Ion Batteries via a Transfer Matrix

open access: yesBatteries &Supercaps, Volume 8, Issue 3, March 2025.
“A simple 1D transfer matrix model of a battery is introduced and parametrized using harvested individual cell components at 0 % and 100 % SoC. This model allows for the calculation of group velocity and attenuation. The results of the model show good agreement with measured values, highlighting increased attenuation and group velocity at the ...
Simon Feiler   +3 more
wiley   +1 more source

Human‐Centered Holographic Assistant using Computer Vision to Interact with Battery Manufacturing Machinery in a Predictive Manner

open access: yesBatteries &Supercaps, EarlyView.
Human‐centered solution composed of a HoloLens app (client) and a Server app to predict resulting electrode properties in real time as the user manipulates the machinery (calendering in this case). This work focuses on a novel human‐centered digital assistant combining Mixed Reality (MR), Computer Vision, and Machine Learning regression to guide ...
Diego E. Galvez‐Aranda   +2 more
wiley   +1 more source

A Cellular Automation for Real‐Time Electrolyte Wetting Simulation in Multilayer Lithium‐Ion Cells: From Lab Data to Full‐Scale Formats

open access: yesBatteries &Supercaps, EarlyView.
A cellular automaton model is introduced for simulating electrolyte wetting in porous battery composites. The model offers high flexibility, near real‐time runtimes, and strong agreement with experimental data. Validated on individual and multilayer configurations, the model enables fast, accurate wetting prediction for pouch, and cylindrical cell ...
Nicolaj Kaden   +5 more
wiley   +1 more source

Surrogate Modeling of Lithium‐Ion Battery Electrode Manufacturing by Combining Physics‐Based Simulation and Deep Learning

open access: yesBatteries &Supercaps, EarlyView.
From cathode formulation to dried electrode: a hybrid digital model integrates physics‐based simulations with deep learning to predict Li‐ion cathode electrode microstructure, offering a powerful tool to accelerate battery design and optimization. Optimizing the manufacturing process of Lithium‐Ion Batteries (LIB.
Utkarsh Vijay   +4 more
wiley   +1 more source

Efficient Retinal Vessel Segmentation with 78K Parameters. [PDF]

open access: yesJ Imaging
Zeng Z   +5 more
europepmc   +1 more source

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