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38 results for “electrical charge”
Advanced Hybrid Battery Thermal Management System for Fast Charging of Electric Vehicles
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Master Thesis- Modeling of Electric Vehicle Charging Infrastructure and Comparison of Electric Vehicle Load Simulation with Empirical Charging Data
<p>All the data behind relevant plots in the thesis report are stored here</p>
Perylenetetracarboxylic Acid Nanosheets with Internal Electric Fields and Anisotropic Charge Migration for Photocatalytic Hydrogen Evolution
<p> Source data for Perylenetetracarboxylic Acid Nanosheets with Internal Electric Fields and Anisotropic Charge Migration for Photocatalytic Hydrogen Evolution</p>
How to charge while drive: Scheduling point-to-point deliveries of an electric vehicle under overhead wiring
<p>Test data used in Section 5.2</p> <p> </p> <p>|J|_|R|_L_l_h.txt</p> <p>|J|: number of jobs<br> |R|: number of ramps<br> L: highway length<br> l: share of electrification<br> h: instance</p> <p>|J|;|R|;l;</p> <p>|J|: number of jobs<br> |R|: number of ramps<br> l: share of electrification</p> <p>Truck (C;c0;rd;r0;delta+;delta-;)</p> <p>C: maximum charge level<br> c0: initial charge level<br> rd: final position<br> r0: initial position<br> delta+: charging rate<br> delta-: consumption rate</p> <p>Path (p0=0; p1; ...; p|R|=L;)</p> <p>pr: position of ramp r</p> <p>Electrified (#;first elec?; sect):</p> <p>#: number of sections<br> elec?: true => first section electrified (alternating)<br> false => first section NOT electrified (alternating)<br> sect: list of sections<br> (Note: two directions! 0-L and L-0)</p> <p>Jobs (j;lo/delta-;ld/delta-;rd;ro)</p> <p>j: Index<br> lo/delta-: (Total travel distance beyond the highway for picking up)/consumption rate<br> ld/delta-: (Total travel distance beyond the highway for delivering)/consumption rate<br> rd: Ramp where the ECV leaves the highway to deliver<br> ro: Ramp where the ECV leaves the highway to pick up</p> <p>Jobs (ldo):</p> <p>j: Index<br> j': Index<br> ldo: Total travel distance beyond the highway for delivering job j and picking up j' with rdj = roj'<br> (>C: exceeds capacity)</p>
Wide-field optical imaging of electrical charge and chemical reactions at the solid-liquid interface
<p>Data availability for silica measurements</p>
Electric Vehicle Fast-Charging Software: Architectural Considerations Towards Trustworthiness
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Data from: Spiders spinning electrically charged nano-fibres
Most spider threads are on the micrometre and sub-micrometre scale. Yet, there are some spiders that spin true nano-scale fibres such as the cribellate orb spider, Uloborus plumipes. Here, we analyse the highly specialized capture silk-spinning system of this spider and compare it with the silk extrusion systems of the more standard spider dragline threads. The cribellar silk extrusion system consists of tiny, morphologically basic glands each terminating through exceptionally long and narrow ducts in uniquely shaped silk outlets. Depending on spider size, hundreds to thousands of these outlet spigots cover the cribellum, a phylogenetically ancient spinning plate. We present details on the unique functional design of the cribellate gland–duct–spigot system and discuss design requirements for its specialist fibrils. The spinning of fibres on the nano-scale seems to have been facilitated by the evolution of a highly specialist way of direct spinning, which differs from the aqua-melt silk extrusion set-up more typical for other spiders.
Planning Fast-Charging Infrastructure for Long-Haul Electric Trucks
<p>Dataset</p>
Smart Charging of Future Electric Vehicles Using Roadway Infrastructure
<p>Corresponding data set for Tran-SET Project No. 18ITSTSA03. Abstract of the final report is stated below for reference:</p> <p>"Inspired by the fact that there is an immense amount of renewable energy sources available on the roadways such as mechanical pressure and frictional heat, this study presented the development and implementation of an innovative charging technique for future electric vehicles (EVs) by fully utilizing the existing roadways and the state-of-the-art nanotechnology and power electronics. The project introduced a novel wireless charging system, SIC (Smart Illuminative Charging), that uses LEDs powered by piezoelectric nanomaterials as the energy transmitter source and thin film solar panels placed at the bottom of the EVs as the receiver, which is then poised to deliver the harvested energy to the vehicle’s battery. Through the project, the energy-harvestable 2D nanomaterials (EH2Ns) were tested for their mechanical-to-electrical energy conversion capabilities and the relatively large-area EH2N samples (2cm x 2cm) produced high output voltages of up to 52mV upon mechanical pressure. An electrically conductive glass fiber reinforced polymer (GFRP) was developed to be used as physical support in the integrated SIC system. Furthermore, a lab-scale prototype device was developed to testify the mechanism of illuminative charging. The project team was able to prove the feasibility of SIC concept and the start to end conversion efficiency was calculated to be 40%. The project team also provided field implementation recommended framework based on the results from the small-scale prototype developed. The framework discussed how the developed SIC can be implemented in the field and what are the expected outcomes. The team recommended inserting the EH2N embedded in the GFRP, the LEDs and the needed circuitry in the wheel path of the vehicles on the pavement by cutting a sawtooth compartment with a width of 18’’ and a length of 8’ every couple of miles. On the vehicle, a PV array will be placed on the underside between the wheel wells of each side of the EV to capture the illumination from the LEDs embedded in the roadway. The detailed strategy is presented in this report."</p>
Utilizing Highway Rest Areas for Electric Vehicle Charging: Economics and Impacts of Renewable Energy Penetration in California
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Synthetic population – Democratization of electric vehicle charging infrastructure
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Data from: Spiders spinning electrically charged nano-fibres
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Electric Polarization of Red Blood Cells : A Cohort Study to Assess the Erythrocytes Membrane Integrity Through Charge Conservation, Following Cardiac Surgery.
ClinicalTrials.gov study NCT05754294. IPD Sharing: YES. Countries: 1. Publications: 0.
EMI and CIED: Is High Power Charging of Battery Electric Car Safe?
ClinicalTrials.gov study NCT05361681. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PSP Solar Wind Electrons Alphas and Protons (SWEAP) SPC Ion Charge Flux Distributions, Electrical Current versus Time and Energy-per-Charge, Level 2 (L2), 0.2185 s Data
SPC Level 2 Ion Data--------------------File Naming Format: psp_swp_spc_l2i_yyyymmdd_v01.cdfSolar Probe Cup, SPC, charge flux distributions comprise electrical current as a function of time and energy-per-charge, with appropriate instrument response elements considered and calibrations applied. This data product contains measurements of ion flux as a function of energy organized into spectra. The SPC instrument measures one-dimensional distributions with a wide field of view. Please refer to the instrument paper for details.This data set covers all periods for which the instrument was turned on and taking data in the solar wind in ion mode. This includes maneuvers affecting the spacecraft attitude and orientation.The MODE_FLAG variable contains information about the type of spectrum being measured. "Ion Full Scan" spectra are marked with MODE_FLAG.DAT = 1. These spectra comprise a broad energy range typically with lower signal-to-noise than the more frequent "Ion Peak Tracking" spectra, which are marked with MODE_FLAG.DAT equal to zero. In the most frequent operating mode, ion full scans are executed about once every 30 s or whenever the peak signal from the solar wind is poorly defined.SPC Encounter 1 Remarks-----------------------Data quality is very good for the duration of the encounter. The solar wind flow was within the optimal field of view for the SPC instrument for nearly the entire encounter. See the data flags for specific exceptions. As with all encounters, signal-to-noise is higher during ingress than egress, which is reflected in the typically smaller uncertainties and less frequent "primary peak low signal" flag events.SPC Cruise Phase Remarks------------------------Measurements recorded during cruise phase are not all transmitted to Earth. The typical return is one spectrum out of every 32.SPC Encounter 2 Remarks-----------------------Due to an erroneous setting in the operating mode for this encounter, ion full scan spectra and certain spectra immediately following ion full scans are of reduced quality. In the affected full scan spectra, the energy steps over an initial portion of the measurement spectra have zero width, i.e. the Level 2 ion variables MV_LO.DAT = MV_HI.DAT, and the corresponding measurements are purely noise. In some cases, this results in a poor determination of the proton "primary peak" energy, which renders additional subsequent full scans that follow subject to the same incompleteness. In other cases, the energy range for the subsequent "ion peak tracking mode" scan is not ideal. The affected Level 3 ion measurements have been flagged with DQF.DAT[22]=1, which stands for "energy ranging/peak tracking error" and/or set to fill. The operating mode has been revised such that future encounters will not be so affected.Parker Solar Probe SWEAP Rules of the Road------------------------------------------As part of the development of collaboration with the broader Heliophysics community, the mission has drafted a "Rules of the Road" to govern how PSP instrument data are to be used.* 1) Users should consult with the PI to discuss the appropriate use of instrument data or model results and to ensure that the users are accessing the most recently available versions of the data and of the analysis routines. Instrument team Science Operations Centers, SOCs, and/or Virtual Observatories, VOs, should facilitate this process serving as the contact point between PI and users in most cases.* 2) Users should heed the caveats of investigators to the interpretations and limitations of data or model results. Investigators supplying data or models may insist that such caveats be published. Data and model version numbers should also be specified.* 3) Browse products, Quicklook, and Planning data are not intended for science analysis or publication and should not be used for those purposes without consent of the PI.* 4) Users should acknowledge the sources of data used in all publications, presentations, and reports: "We acknowledge the NASA Parker Solar Probe Mission and the SWEAP team led by J. Kasper for use of data.".* 5) Users are encouraged to provide the PI a copy of each manuscript that uses the PI data prior to submission of that manuscript for consideration of publication. On publication, the citation should be transmitted to the PI and any other providers of data.
Battery Charge Depletion Prediction on an Electric Aircraft
Validation of prognostic technologies through ground and flight tests is an important step in maturing these novel technologies and deploying them on real-world systems. To this end, a series of flight tests have been conducted using an unmanned electric vehicle during which the motor system batteries were monitored by a prognostic algorithm. The research presented here endeavors to produce and validate a technology for predicting the remaining time until end-ofdischarge of the batteries on an electric aircraft as a function of an expected future flight and online estimates of the charge contained in the batteries. Flight data and flight experiment results are presented along with an assessment of model and algorithm performance
Adaptive Design for Controllability of a System of Electric Vehicle Charging Stations
<p>ADP - Data supporting this research, including supplementary materials.</p>
Electrical Conductivity of Rocks and Dominant Charge Carriers: The Paradox of Thermally Activated Positive Holes
In this paper we have focused on fundamental processes that are important for understanding the electrical properties of materials, both single crystal minerals and igneous rocks, both laboratory-grown and from natural environments. The prevailing view in the geophysics community is that the electrical conductivity structure of the Earth’s continental crust over the 5-35 km depth range can best be understood by assuming the presence of intergranular fluids and/or intergranular carbon films. Based on studies of melt-grown MgO, magma-derived sanidine and anorthosite feldspar and upper mantle olivine single crystal we present evidence for the presence of electronic charge carriers, the importance of which has been largely ignored. These charge carriers derive from peroxy defects, which are introduced during cooling, under non-equilibrium conditions, through a redox conversion of pairs of solute OH– arising from the solid state dissolution of H2O. It can be shown that, during reheating, the peroxy defects become thermally activated in a 2-step process. Step 2 leads to the release of defect electrons in the oxygen anion sublattice. Known as positive holes and symbolized by h•, these electronic charge carriers are associated with energy states at the upper edge of the valence band. They are highly mobile. Chemically equivalent to O– in a matrix of O2– they are highly oxidizing. However, though metastable, the h• can exist in minerals, which crystallized in highly reduced environments. The h• appear to control the electrical conductivity of crustal rocks over much of the 5-35 km depth range. We make the extraordinary and seemingly paradoxial claim that MgO crystals, grown from the melt under the viciously reducing conditions of a carbon arc fusion furnace, contain peroxy defects in their crystal structure, hence oxygen in the valence state 1–. When the peroxy defects break up, they release positive hole charge carriers, formally defect electron in the oxygen anion sublattice, equivalent to O– in a matrix of O2–. These positive holes have two outstanding properties: they are highly mobile and highly oxidizing.
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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)
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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.