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83 results for “Lithium ions”

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zenodo36/100

Research Data for "In-vacuo scratching yields undisturbed insight into the bulk of lithium-ion battery positive electrode materials"

<p>This are the datasets supporting the figures and tables in the manuscript and supporting information of the publication "In-vacuo scratching yields undisturbed insight into the bulk of lithium-ion battery positive electrode materials".</p> <p>Available in ACS Energy Letters under&nbsp;<span><a href="https://doi.org/10.1021/acsenergylett.4c02106"><span>https://doi.org/10.1021/acsenergylett.4c02106</span></a></span></p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Lithium Ion Battery Test Dataset for Maritime Transport INR18650-MJ1

<p>INR18650-MJ1 test data obtained from cycling under conditions relevant for maritime transport applications.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Dataset of "Thermal Stability of Valuable Metals in Lithium-Ion Battery Cathode Materials: Temperature Range 500-800 °C"

<p>Examination of the cathode part of a lithium-ion battery, which is composed of NMC spinel 622 (LiNi0.6Mn0.2Co0.2O2), and investigation of its stability during annealing at temperatures ranging from 500-800 &deg;C. Determination of valuable metals (Li, Ni, Mn and Co) after exposure to temperatures from 500 to 800 &deg;C using ICP-OES analysis. The correlation between element stability and the temperature of PVDF release, a binder in cathodes, was demonstrated by DTA. SEM-EDS performed local chemical analysis. XRD characterised the crystalline structures of the original material and changes after annealing at 800 &deg;C. This work builds on Part I, which focusses on the thermal stability of the material in lower temperature ranges. This research aimed to gain a deeper understanding of the pyrometallurgical aspect of the recycling process and identify the ideal annealing temperature for maximising the recovery of valuable metals.&nbsp;</p>

embargoedcc-by-4.0Nov 2024View details →
zenodo36/100

Online Repository for "Sorting lithium-ion battery electrode materials using dielectrophoresis"

<p>Please see the readme file.</p> <p>The matlab script for evaluating the measurements is called &ldquo;Eval_Fluoro.m&rdquo; and can be found in this repository.</p> <p>The excel sheet &ldquo;20221028_photometric_iron.xlsx&rdquo; contaiins the data from the chemical analysis.</p> <p>The manufacturing data for the electrodes is provided in the zip folder: PCB_boards_Giesler.zip and can be uploaded to a manufacturer of choice.</p>

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

United States recycled content standards for lithium-ion batteries

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publicJul 2022View details →
dryad36/100

Data from: Ion correlation and negative lithium transference in polyelectrolyte solutions

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publicMay 2023View details →
zenodo32/100

Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning

<p>Dataset accompanying&nbsp;the paper: &quot;Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning&quot;</p>

opencc-by-4.0Jan 2020View details →
zenodo32/100

Thermal modeling of a high-energy prismatic lithium-ion battery cell and module based on a new thermal characterization methodology

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opencc-by-4.0Aug 2020View details →
zenodo32/100

State of Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy and Backpropagation Neural Network

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opencc-by-4.0Sep 2021View details →
zenodo32/100

A novel liquid cooling plate concept for thermal management of lithium-ion batteries in electric vehicles

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opencc-by-4.0Jan 2021View details →
zenodo32/100

A comparative study between air cooling and liquid cooling thermal management systems for a high-energy lithium-ion battery module

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opencc-by-4.0Aug 2021View details →
zenodo32/100

Multi-objective particle swarm optimization and training of datasheet-based load dependent lithium-ion voltage models

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opencc-by-4.0Jul 2021View details →
zenodo32/100

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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opencc-by-4.0Apr 2022View details →
zenodo32/100

Model Development for State-of-Power Estimation of Large-Capacity Nickel-Manganese-Cobalt Oxide-Based Lithium-Ion Cell Validated Using a Real-Life Profile

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opencc-by-4.0Sep 2022View details →
zenodo32/100

Figures for Developing an online data-driven approach for prognostics and health management of lithium-ion batteries

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opencc-by-4.0Mar 2024View details →
zenodo32/100

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>

opencc-by-4.0Dec 2023View details →
zenodo32/100

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>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Supporting Data for: Resolving high potential structural deterioration in Ni-rich layered cathode materials for lithium-ion batteries operando

<p>The following file contains supporting data for &quot;Resolving high potential structural deterioration in Ni-rich layered cathode materials for lithium-ion batteries operando&quot; manuscript.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Dataset of 5035 Conductivity Experiments for Lithium-Ion Battery Electrolyte Formulations at Various Temperatures

<p>Dataset containing&nbsp;5035 Conductivity Experiments for Lithium-Ion Battery Electrolyte Formulations at Various Temperatures which is accopaning the data descriptor publication titled &quot;5035 Conductivity Experiments for Lithium-Ion Battery Electrolyte Formulations at Various Temperatures and their Automated Analysis&quot; by the same authors.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Dataset: Experimental Investigation of Power Available in Lithium-Ion Batteries

<p>Dataset for the paper Experimental Investigation of Power Available in Lithium-Ion Batteries.&nbsp;</p> <p>The paper is available (open access) at <a href="https://doi.org/10.1016/j.jpowsour.2024.235168">https://doi.org/10.1016/j.jpowsour.2024.235168</a>&nbsp;&nbsp;</p> <ul> <li>Battery: Melasta LCO 6.8Ah pouch cell</li> <li>Test: Dynamic load profile followed by a 30-second 10C rate pulse</li> <li>Experiment I: Tests @25&deg;C, 05 fresh cells, 05 repetitions on each cell</li> <li>Experiment II: One-factor-at-time experiment, [50&deg;C, 15&deg;C, 20kPa, 60kPa, 100% SOC, 20% SOC]</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →

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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.

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