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441 results for “Battery”
Advanced hybrid thermal management system for LTO battery module under fast charging
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Advanced Hybrid Battery Thermal Management System for Fast Charging of Electric Vehicles
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Experimental and numerical thermal analysis of a lithium-ion battery module based on a novel liquid cooling plate embedded with phase change material
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Figures for Thermal Management of the Li‐Ion Batteries to Improve the Performance of the Electric Vehicles Applications
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Figures for Development, retainment, and assessment of the graphite-electrolyte interphase in Li-ion batteries regarding the functionality of SEI-forming additives
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Figures for Developing an online data-driven approach for prognostics and health management of lithium-ion batteries
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Figure for "A quick battery charging curve prediction by artificial neural network"
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Modelling and Comparing Converter Architectures and Energy Harvesting ICs for Battery-Free Systems
<p>Artifacts containing measurement scripts, data sets, and simulations for the paper "Modelling and Comparing Converter Architectures and Energy Harvesting ICs for Battery-Free Systems" (currently submitted and under review).</p>
Cycle data of different laboratory flow batteries based on AQDS BQDS, MV TEMPOL and vanadium flow battery
<p>Cycle data of different organic and inorganic laboratory scale redox flow batteries with an active area of 40 cm², made during the EU-Project SONAR in the years 2020 - 2023.</p>
Dataset of "Photoactivity Enhancement by Electrochemical Activation of Bifunctional V2C@S MXene: Desirable Approach in Single-architecture High-rate Zinc-ion Solar Batteries"
Single-architecture solar battery energy storage devices which are capable of storing energy from solar energy harvesting in only one package, are being developed as the upcoming and future off-grid energy storage systems. In this research, we explore the photo-responsive characteristics and application of vanadium-based MXene in pouch zinc-ion solar batteries. In addition to the pristine V2CTx MXene, a sulfur-incorporated nanocomposite of V2CTx@S was synthesized via a reaction between exfoliated V2CTx MXene and sulfur at a high benign temperature to evaluate the efficiency of both as photocathodes for such state-of-the-art devices. Through the initial electrochemical charging activation, photoactivity of the V2CTx@S photocathode was enhanced significantly because of the formation of nanoscale vanadium oxide on the surface of conductive V2CTx MXene and the presence of sulfur element without losing the MXene nanolayered characteristics. The results of the pouch zinc-ion solar battery made by V2CTx@S indicate a specific capacity of 197 mAh g–1 at 1 A g–1 under illumination, compared to the dark condition with the amount of 114 mAh g–1 at 1 A g–1 (72.8% enhancement). Additionally, the V2CTx@S zinc-ion solar battery carried out a photo-charging voltage response of 700 mV, and a remarkable energy density of 255 Wh kg–1 at 1 A g–1 under illumination compared to dark conditions with the energy density of 150 Wh kg–1 at 1 A g‒1. Furthermore, a photoconversion efficiency of ≈2.04% was obtained in the pouch zinc-ion solar battery. Density functional theory studies supported these experimental findings by revealing that sulfur modification and vanadium oxide formation improve the electronic properties and light absorption capabilities of the pristine V2C MXene, contributing to its superior photocathodic performance. These great achievements in photo-electrochemical behaviors of V2CTx@S are due to the catalytic synergy of bifunctional MXene decorated with sulfur element, the formation of outer high-valence vanadium oxide, and inner conductive of V2CTx. The findings provide crucial insights into designing of highly efficient photocathode materials for advanced solar batteries.
Multiscale Investigation of Sodium Ion Battery Anodes: Analytical Techniques and Applications
<p><em>No description.</em></p>
Understanding rate and capacity limitations in Li-S batteries based on solid-state sulfur conversion in confinement
<p>Raw data sets of the publication A. Senol Güngör et al. Understanding rate and capacity limitations in Li-S batteries based on solid-state sulfur conversion in confinement, 2024.</p> <p>The dataset was generated within the ALISA project (project number 9359) provided by the m-ERA.NET network (part of the European Union’s Horizon 2020 research and innovation program, and the ERC Starting-Grant project ERC-2022-STG, SOLIDCON (101078271).</p>
Dataset for publication: "Long term porosity of solid electrolyte interphase on model silicon anodes with liquid battery electrolytes"
<p>This is the dataset used to produce the figures for the publication "Long term porosity of solid electrolyte interphase on model silicon anodes with liquid battery electrolytes"</p>
Optimisation of size and operation of stand-alone renewable-based systems with diesel and hybrid PHS-battery storage considering uncertainties
<p>Results of the optimal system found by the stochastic optimisation</p>
Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"
<p>This is an addendum to the previously published dataset with the title "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]" (DOI: 10.35097/1947).<br>In the previous publication, the "cell_eisv2.zip" file was incomplete and only contained data for cells P001_1 to P044_2.<br>The fixed "cell_eisv2_fixed.zip" file of this addendum contains data for all 228 cells P001_1 to P076_3.</p>
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]
<p>Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications.<br>To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for more than a year under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. The dataset includes result data (such as the remaining usable capacity or impedance measured in check-ups) and raw data (i.e., measurement logs with two-second resolution).<br>The data can be used in a wide range of applications, for example, to model battery degradation, gain insight into lithium plating, optimize operation strategies, or test battery impedance or state estimation algorithms using machine learning or Kalman filtering.</p>
Dataset related to the publication "Accelerated Electrochemical Investigation of Li Plating Efficiency as Key Parameter for Li Metal Batteries Utilizing a Scanning Droplet Cell"
<p>Related to the publication "Accelerated Electrochemical Investigation of Li Plating Efficiency as Key Parameter for Li Metal Batteries Utilizing a Scanning Droplet Cell" <a href="https://www.zenodo.org/record/5503915">https://www.zenodo.org/record/5503915</a></p> <p>The file contains raw data of the results shown in Figure 1, 2, 3, 4, 6, 7, 8, S1 and S2.</p>
Dataset examples related to the publication entitled "High-Potential Test for Quality Control of Separator Defects in Battery Cell Production"
<p>Dataset examples and visualization program code for the publication entitled "High-Potential Test for Quality Control of Separator Defects in Battery Cell Production". Publication Doi: https://doi.org/10.3390/batteries7040064.</p>
Techno-Economic Analysis of Battery Electricity Storage Towards Self-Sufficient Buildings.
<p>These data represent the energy demand of a building designed following the “Directive of the European Parliament on the energy performance of building” (2010/31/EU ) and that meets the “Casaclima” energy certificate. It belongs to the CasaClima A energy class (Class A for what concerns the envelope efficiency, Gold Class for what concerns the overall energy efficiency).</p> <p>Hourly electrical and thermal consumption are presented for a year for 5 different climatic conditions according to the IEA classification.</p> <p>Consumption has been modeled through Energy Plus and validated against measured data. Please refer to <a href="https://doi.org/10.1016/j.enconman.2022.115313">https://doi.org/10.1016/j.enconman.2022.115313</a> for the methodology description.</p> <p>Pleas acknowledge <a href="https://doi.org/10.1016/j.enconman.2022.115313">https://doi.org/10.1016/j.enconman.2022.115313</a> when using the data set.</p>
Supporting data for "Impact of compression on the electrochemical performance of the sulfur/carbon composite electrode in lithium–sulfur batteries"
<p>This is the dataset of electrochemical and operando X-ray diffracytion experiments for our publication "Impact of compression on the electrochemical performance of the sulfur/carbon composite electrode in lithium–sulfur batteries". This archive contains the raw data and scripts written in R used in the analysis and presentation of the results in this manuscript.</p> <p>Abstract for the manuscript:</p> <p>While lithium–sulfur batteries theoretically have both high gravimetric specific energy and volumetric energy density, only its specific energy has been experimentally demonstrated to surpass that of the state-of-the-art lithium-ion systems at cell level. One major reason for the unrealized energy density is the low capacity density of the highly porous sulfur/carbon composite as the positive electrode. In this work, mechanical compression at elevated temperature is demonstrated to be an effective method to increase the capacity density of the electrode by at least 90% and moreover extends its cycle life. Distinct impacts of compression on the resistance profiles of electrodes with different thickness are investigated by tortuosity factors derived from both electrochemical impedance spectroscopy, X-ray computed tomography and kinetic analysis based on operando X-ray diffraction. The results highlights the importance of a homogeneous electrode structure for the lithium–sulfur system.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.