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441 results for “Battery”

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zenodo40/100

DATABASE: Electric Vehicle, Battery and Smart Grid patent citation networks and main paths.

<p>This dataset comprises the original patent citation networks that were created to calculate&nbsp;the main citation paths for the technologies of Electric Vehicle, Battery and Smart Grid.</p> <p>For each technology (1- Electric Vehicle, 2- Battery, 3- Smart Grid), four outputs are provided:</p> <p>a- Patent extraction: USPTO patents filtered by IPC or CPC and found in the Triadic Patent Families database (OECD, 2021)&nbsp;&nbsp;</p> <p>b- Full nodes and links reconstructed by following patent citations through a snowball method&nbsp;(until no further patents found)</p> <p>c- Filtered nodes and links according to keywords</p> <p>d- Main path nodes and links (with citation weights).</p> <p>For a detailed explanation of the methodology please refer to the submitted paper:</p> <p><strong>Transitions as a coevolutionary process: the urban emergence of electric vehicle inventions</strong></p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

Data from: "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes"

<p>Dataset from the publication &quot;Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes&quot;. Full experimental details can be found in the related publication in ACS Applied Energy Materials: <a href="https://doi.org/10.1021/acsaem.2c02047">https://doi.org/10.1021/acsaem.2c02047</a></p> <p>Commercial 21700 cylindrical cells (LG M50T, LG GBM50T2170) were cycle aged under 3 different temperatures [10, 25, 40] &deg;C and 2 SoC ranges [0-30, 0-100]%, with multiple cells tested under each condition. Cells were base-cooled at set temperatures using bespoke test rigs (see pubilcation for details). All electrochemical data were recorded using a Biologic BCS-815 battery cycler.</p> <p>&nbsp;</p> <p><strong>Break-in cycles:</strong></p> <p>Prior to any ageing or performance checks, all cells were subject to 5 full charge-discharge cycles as part of the break-in procedure. This consisted of a 0.2C charge to 4.2 V with CV-hold till C/100, and 0.2C discharge to 2.5 V (repeated for 5 cycles). Cells were rested under open circuit conditions for 2 hours after each charge and 4 hours after each discharge. These break-in cycles were performed at 25&deg;C for all cells.</p> <p>&nbsp;</p> <p><strong>Ageing Conditions:</strong></p> <table align="center"> <caption>Ageing Conditions</caption> <thead> <tr> <th scope="col">Expt</th> <th scope="col">SoC Range</th> <th scope="col">C-rate</th> <th scope="col">Temperature</th> <th scope="col"># of cells</th> <th scope="col">Cell IDs</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>10&deg;C</td> <td>3</td> <td>A, B, J</td> </tr> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>25&deg;C</td> <td>3</td> <td>D, E, F</td> </tr> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>40&deg;C</td> <td>3</td> <td>K, L, M</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>10&deg;C</td> <td>3</td> <td>A, B, C</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>25&deg;C</td> <td>2</td> <td>D, E</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>40&deg;C</td> <td>3</td> <td>F, G, H</td> </tr> </tbody> </table> <p>For cells aged in the 0-30% SoC range, each ageing set consisted of 256 cycles over the 0-30% SoC range (discharge to 2.5 V, charge by passing 1500 mA h (== 0.3*nominal capacity)). C-rates were 0.3C for charge, and 1C for discharge.</p> <p>For cells aged in the 0-100% SoC range, each ageing set consisted of 78 cycles over the full SoC range (discharge to 2.5 V, charge to 4.2 V with CV hold till C/100). C-rates were 0.3C for charge, and 1C for discharge.</p> <p>&nbsp;</p> <p><strong>Reference Performance Tests (RPTs):</strong></p> <p>All cells were characterised at beginning of life (BoL) and after each ageing set using a reference performance test (RPT). The RPT was always performed at 25&deg;C. Two different RPT procedures were used: a longer procedure which was performed after each even-numbered ageing set, and a shorter procedure which was used after each odd-numbered ageing set. Both procedures are detailed below. A CC-CV charge at 0.3C to 4.2 V, 4.2 V till C/100 was performed between each step of the procedures.</p> <p>Long RPT procedure:</p> <ol> <li>C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>C/2 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>GITT discharge at 0.5C; 25 pulses with each pulse passing 200 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses).</li> <li>GITT discharge at 0.5C; 5 pulses with each pulse passing 1000 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses).</li> </ol> <p>Short RPT procedure:</p> <ol> <li>C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>Hybrid CC-pulse test with average current of C/2. A baseline DC current of C/2 was applied with an HPPC-type profile superimposed on top. This was done for discharge and charge (with voltage limits of 2.5 V and 4.2 V).</li> <li>Hybrid CC-pulse test with average current of 1C. A baseline DC current of 1C was applied with an HPPC-type profile superimposed on top. This was done for discharge only (with a voltage limit of 2.5 V).</li> </ol> <p>&nbsp;</p> <p><strong>Extracted Data - Main </strong></p> <p>One csv file exists for each cell being tested, summarising the important data extracted from the ageing cycles and the RPTs. This includes:</p> <p>Ageing Set: numbered 0 (BoL) to x, where x is the number of ageing sets the cell has been subject to.</p> <p>Ageing Cycles: number of ageing cycles the cell has been subject to. *this is <strong>not </strong>equivalent full cycles.</p> <p>Ageing Set Start Date/ End date: The date that each ageing set began/ ended.</p> <p>Days of Degradation: Number of days between the date of the first ageing set beginning and the current ageing set ending.</p> <p>Age Set Average Temperature: average recorded surface temperature of the cell during cycle ageing. Temperature was recorded approximately 1/2 way up the length of the cell (i.e. between positive and negative caps) using a K-type thermocouple. Units: &deg;C.</p> <p>Charge Throughput: total accumulated charge recorded during all cycles during ageing (i.e. sum of charge and discharge). This is the cummulative total since BoL (not including RPTs). Units: Ah.</p> <p>Energy Throughput: as with &quot;charge throughput&quot;, but for energy. Units: Wh.</p> <p>C/10 Capacity: the capacity recorded during the C/10 discharge test of each RPT. Units: mAh.</p> <p>C/2 Capacity: the capacity recorded during the C/2 discharge test of each even-numbered RPT. Units: mAh.</p> <p>0.1s Resistance: The resistance calculated from the 25-pulse GITT test of each even-numbered RPT. This value is taken from the 12th pulse of the procedure (which corresponds to ~52% SoC at BoL). The resistance is calculated by dividing the voltage drop by the current at a timecale of 0.1 seconds after the current pulse is applied (the fastest timescale possible under the 10 Hz recording condition). Units: Ohms.</p> <p>&nbsp;</p> <p><strong>Extracted Data - Degradation Modes:</strong></p> <p>Degradation Mode Analysis (DMA) was also performed on the C/10 discharge data at each RPT. This analysis uses an optimisation function to determine the capacities and offset of the positive and negative electrodes by calculating a full cell voltage vs capacity curve using 1/2 cell data and comparing against the experimentally measured voltage vs capacity data from the C/10 discharge.</p> <p>The results of this analysis are saved in the DMA folder, with 4 csv files for each cell, which contain data for all RPTs. The 4 files contain:</p> <p>Fitting parameters: output from the DMA optimisation function; 5 parameters which detail the upper/lower lithitation fractions of each electrode and the capacity fraction of graphite in the negative electrode.</p> <p>Capacity and offset data: calculated based on the fitting parameters above alongside the measured C/10 discharge capacity.</p> <p>DM data: Quantities of LLI, LAM-PE, LAM-NE, LAM-NE-Gr, and LAM-NE-Si calculated from the change in capacities/offset of each electrode since BoL.</p> <p>RMSE data: the root-mean-square error of the optimisation function calculated from the residual between the measured and calculated voltage vs capacity profiles.</p> <p>&nbsp;</p> <p><strong>Timeseries data from RPTs:</strong></p> <p>Timeseries datafiles from the Biologic battery cycler which have been exported to csv and sliced for each step of each RPT procedure to help with future use of the data. Files contain [time, voltage, current, charge, temperature] data.</p> <p>&nbsp;</p> <p><strong>Jupyter Notebook:</strong></p> <p>A jupyter notebook has been included to aid futher use of this data. The notebook shows how to load the data into pandas DataFrame objects and provides a couple of example plots to view the datasets.</p> <p>&nbsp;</p> <p><strong>Notes:</strong></p> <p>A faulty electrical connection to cell A of Expt 5 (i.e. one of the cells being aged at 0-100% SoC at 10&deg;C) during RPT4 led to erroneous results for that performance check (as evidenced in the 0.1s resistance value). The faulty electrical connection was fixed prior to subsequent cycling but the RPT was not repeated. We have kept the data collected during this RPT as part of the dataset, so caution should be used when using this specific portion.</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Dataset: A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery

<p>Dataset for the results shown in the publication &quot;A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery&quot;</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Cellulose nanofiber-reinforced solid polymer electrolytes with high ionic conductivity for lithium batteries

<p>The data contained herein support both the results described in the research article entitled &quot;Cellulose nanofiber-reinforced solid polymer electrolytes with high ionic conductivity for lithium batteries&quot; with the following DOI: <a href="https://doi.org/10.1039/D3TA00380A">10.1039/D3TA00380A</a>, and the corresponding supporting information.</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Dataset for Interfacial Chemistry Effects in the Electrochemical Performance of Silicon Electrodes under Lithium-ion Battery Conditions

<p>This dataset provides the raw data to the manuscript</p> <p>&quot;<strong>Interfacial Chemistry Effects in the Electrochemical Performance of Silicon Electrodes under Lithium-ion Battery Conditions&quot;</strong> published in Small (<a href="https://doi.org/10.1002/smll.202303442">https://doi.org/10.1002/smll.202303442</a>)</p> <p>Specifically, the following measurements are provided:</p> <ul> <li>Scanning electrochemical cell microscopy (SECCM) data</li> <li>Scanning electron microscopy (SEM) images</li> <li>Secondary ion mass spectrometry (SIMS) data</li> <li>Transmission electron microscopy (TEM) images</li> <li>X-ray photoelectron spectroscopy (XPS) data</li> </ul>

opencc-by-4.0May 2023View details →
zenodo40/100

Towards a real-world technical test battery for remote microphone systems used with hearing prostheses

<p>Wav format audio files of both source and response for 5 different wireless remote microphone systems under various test conditions, as reported in the paper :</p> <p>Stone M.A., Lough M., Whiston H., Wilbraham K., Dillon H. (2023) Towards a real-world technical test battery for remote microphone systems used with hearing prostheses.&nbsp; &nbsp;&nbsp;&nbsp; Trends in Hearing&nbsp; DOI: &nbsp; 10.1177/23312165231182518</p> <p>Also includes the MATLAB script used to analyse the recordings.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Measurement Data for CT of Battery Pouch Cell with Defects

<p>These are the raw radiography images used to calculate the CT volume of a battery pouch cell with defects.</p> <p>&nbsp;</p> <p>Measured on a diondo d2 CT (using XWT-190 CT, Varex 4343DX-I) at TU Dresden.</p> <p>Tube: 150 KV, 100 &micro;A</p> <p>Geometry: FOD 160 mm, FDD 1000 mm</p> <p>Detector: 3000 x 3000 px&sup2;, 3000 Frames, 5x Framebinning, 3000 ms per Frame</p> <p>Data: 16bit unsigned integer, little endian</p> <p>&nbsp;</p> <p>The sample was prepared by Johannes M&uuml;nch. For further details see the following paper:</p> <p><a href="https://doi.org/10.1002/ente.202300323">https://doi.org/10.1002/ente.202300323</a></p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Datasets : Unprecedented Aqueous Solubility of TEMPO and its Application as High Capacity Catholyte for Aqueous Organic Redox Flow Batteries

<p>Dataset of publication&nbsp;DOI: 10.1002/aenm.202301929 published in Advanced Energy Materials journal</p> <p>Despite the excellent electrochemical properties of non-functionalized 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO), its use in aqueous organic redox flow battery (AORFB) is hindered to date due to its insolubility in water. However, in this study, an unprecedented solubility of 5.6 M is demonstrated in an aqueous solution of lithium bis(trifluoromethanesulfonyl)imide (LiTFSI), which is 80 times higher than in water (0.07 M). A computational study reveals that the unique interaction between TEMPO and TFSI is essential to achieve this record solubility. TEMPO catholytes are tested in symmetric flow cells, demonstrating high capacity (23.85 AhL<sup>-1</sup>), high material utilization (89%), and robust reversible performance with long-term stability (low capacity fading of 0.082%/day). When paired with sulfonated viologen anolyte ((SPr2)V), an AORFB with low capacity fading over cycling (0.60%/day, 0.048%/cycle) is achieved, constituting the first example of a non-functionalized TEMPO catholyte for AORFB. Notably, this solubilization strategy could be applied to other unexplored chemistries in aqueous electrolytes, leading to the development of new AORFBs</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Practical Cell Design for PTMA-Based Organic Batteries: an Experimental and Modeling Study - Supporting Dataset

<p>The cycling and impedance data used in the work &quot;Practical Cell Design for PTMA-Based Organic Batteries: an Experimental and Modeling Study&quot; are provided in this repository.<br> The data are reported both as original .txt files with the raw data from the instruments and as processed Matlab files, where the data are structured in cycles.<br> The Excel sheet &quot;Metadata&quot; explains the type of battery associated to each code and file(s).</p> <p><br> &nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Simulation data of Schmidt et al., A three-dimensional finite element formulation coupling electrochemistry and solid mechanics on resolved microstructures of all-solid-state lithium-ion batteries, DOI: https://doi.org/10.1016/j.cma.2023.116468

<p>This data set includes the simulation results of the relevant simulations published in the paper: &quot;Schmidt et al., A three-dimensional finite element formulation coupling electrochemistry and solid mechanics on resolved microstructures of all-solid-state lithium-ion batteries, DOI: https://doi.org/10.1016/j.cma.2023.116468&quot;.</p> <p>Please refer to the paper for the details of the model as well as the parameterization of the model for the respective simulations.</p> <p>The provided lzip archive is structured into separate folders, one per simulation. Each folder contains the output data and a short README.txt with further hints. For information on the compression algorithm and how to uncompress it lzip please refer to https://en.wikipedia.org/wiki/Lzip.</p>

opencc-by-4.0Sep 2023View details →
dryad40/100

Circularity of lithium-ion battery materials in electric vehicles

Open the record for dataset details and reuse information.

publicApr 2023View details →
dryad40/100

In situ polyaniline coating of Prussian blue as cathode material for sodium-ion battery

Open the record for dataset details and reuse information.

publicNov 2021View details →
zenodo36/100

Experimental data for "Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models"

<p>This dataset is for the validation data in&nbsp;Chen et al. (2020). It contains data for three different LG M50 cells undergoing an experiment in which the cells are charged in a constant-current/constant-voltage fashion and discharge at a constant current for different C-rates (C/10, C/2, 1C and 1.5C). Apart from the current and voltage, the temperatures of the cell surface and the thermal chamber in which they are cycled is recorded too.</p> <p><strong>References:</strong></p> <p>Chang-Hui Chen&nbsp;<em>et al</em>&nbsp;2020&nbsp;<em>J. Electrochem. Soc.</em>&nbsp;<strong>167</strong>&nbsp;080534 (<a href="https://doi.org/10.1149/1945-7111/ab9050">https://doi.org/10.1149/1945-7111/ab9050</a>)</p>

opencc-by-4.0May 2020View details →
zenodo36/100

L'Etacquerel Battery - Low-Res V.2

This is another basic scan of the L'Etacquerel Battery - due to the lack of access to the site, accuracy is poor as no Ground Control Points are set and not close-up scans taken of more complex structures to improve accuracy. Only a single constained measurement is also in place (you will notice a survey measuring pole placed by the main door on the bridge side. this is a 500mm rule. Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2018View details →
zenodo36/100

Gardens Battery & Dominion Observatory

An HBIM, Reality Capture model and animation of the history of the Gardens Battery and Dominion heritage complex in Wellington, New Zealand. This is intended to show earthwork volumes, the 7-inch 7-ton RML gun in place, and the contemporary elements that are now featured on site. Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2022View details →
zenodo36/100

Dataset for On the Tunability of Toxicity for Viologen-Derivatives as Anolyte for Neutral Aqueous Organic Redox Flow Batteries

<p>Dataset of the results published in ChemSusChem 10.1002/cssc.202300626. Viologen-derivatives are the most widely used redox organic molecules for neutral pH negative electrolyte of redox flow batteries. However, the long-established toxicity of the herbicide methyl-viologen raises concern for deployment of viologen-derivatives at large scale in flow batteries. Herein, we demonstrate the radically different cytotoxicity and toxicology of a series of viologen-derivatives in in vitro assays using model organisms representative of human and environmental exposure, namely human lung carcinoma epithelial cell line (A549) and the yeast Saccharomyces cerevisiae. The results show that safe viologen derivatives can be molecularly engineered, representing a promising family of negolyte materials for neutral redox flow batteries</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

π-Conjugated Metal Free Porphyrin as Organic Cathode for Aluminum Batteries

<p>A metal-free porphyrin (TDPP) with a diphenylamino-Phenyl group is proposed as an electrode for aluminum-based batteries. The electrochemical performance is explored thoroughly. The extended porphyrin conjugated structure by the diphenylamino-phenyl groups shows a reversible capacity of 83 mAh.g-1 at 1 A. g-1 after 200 cycles and good cycling stability.</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

GC raw data of sodium ion electrolytes before and after battery storage

<p>Raw data of the GC measurements before and after battery storage. Additionally, the pure electrolyte as well as the pure solvent (DCM, dichloromethane) is mentioned.&nbsp;</p>

opencc-by-4.0Nov 2023View details →
dryad36/100

Data from: An infrared, Raman, and X-ray database of battery interphase components

<p>Further technological advancement of both lithium-ion and emerging battery technologies can be catalyzed by an improved understanding of the chemistry and working mechanisms of the solid electrolyte interphases (SEIs) that form at electrochemically active battery interfaces. However, collecting and interpreting spectroscopy results of SEIs is difficult for several reasons, including the chemically diverse composition of SEIs. To address this challenge, we herein present a vibrational spectroscopy and X-ray diffraction data library of ten suggested SEI chemical constituents relevant to both lithium-ion and emerging battery chemistries. The data library includes attenuated total reflectance Fourier transform infrared spectroscopy, Raman spectroscopy, and X-ray diffraction data, collected in inert atmospheres afforded by custom designed sample holders. The data library presented in this work (and online repository) alleviates challenges with locating related work that is either diffusely spread throughout the literature, or is non-existent, and provides energy storage researchers streamlined access to vital SEI-relevant data that can catalyse future battery research efforts.</p>

opencc-zeroDec 2023View details →
zenodo36/100

WW1 artillery battery outline, Helsinki, Finland

First World War artillery battery in [Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) naval front defense line in Skatanniemi, Vuosaari, Helsinki, Finland. The battery was built in 1916 - 1918. The battery has two identical parts: western and eastern. This model is from the western part. The eastern part is in [another model](https://skfb.ly/6SS9t). The western part of the battery contains two mortar positions and ammunition cellar. The roof is missing from the model. More info: * [Location in Google Maps](https://goo.gl/maps/tsRLpmA4y6dybHk29) * [Wikipedia: Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) * [John Lagerstedt , Markku Saari: Krepost Sveaborg](http://www.novision.fi/viapori/eavaus.htm) * [Finnish Heritage Agency site info](https://www.kyppi.fi/to.aspx?id=112.1000007645) (only in finnish) Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2020View details →

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