Development of battery separator material process Mid-program report
Heat sterilizable battery separator material prepared from low-density polyethylene film
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Heat sterilizable battery separator material prepared from low-density polyethylene film
Sealed heat sterilizable high impact resistant battery for space missions, grafting acrylic acid and polyethylene by irradiation for separator
Performance of a sealed-silver cadmium battery on explorer xii
Battery charger for Atmosphere Explorer B spacecraft - packaging in aluminum frame rectangular configuration with three separate compartments
A battery model is developed based on time averaging the current or power, and is shown to be an effective means of predicting the performance of a lead acid battery. The effectiveness of this battery model was tested on battery discharge profiles expected during the operation of an electric vehicle following the various SAE J227a driving schedules. The averaging model predicts the performance of a battery that is periodically charged (regenerated) if the regeneration energy is assumed to be converted to retrievable electrochemical energy on a one-to-one basis.
High temperature battery development - zeolites, anode and cathode couples, and molten salts
Radiation effects on silver and zinc battery electrodes
X-ray diffraction patterns of nickel-cadmium battery electrodes and stabilization of nickel oxides and hydroxides
Three-day battery capable of operation at temperature of 425 degrees C for use on lunar and planetary probes
Design and electric characteristics of 100 A-h nickel-cadmium battery cells with active Adhydrode third electrode
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Amorphous oxyhalides have attracted significant attention due to their relatively high ionic conductivity (1 mS cm –1 ), excellent chemical stability, mechanical softness, and facile synthesis routes via standard solid‐state reactions. These materials exhibit an ionic conductivity that is almost independent of the underlying chemistry, in stark contrast to what occurs in crystalline conductors. In this work, we employ machine learning interatomic potentials to construct large‐scale molecular dynamics trajectories encompassing hundreds of nanoseconds to obtain statistically converged transport properties. We find that the amorphous state consists of chain fragments of metal‐anion tetrahedra of various lengths. By analyzing the residence time of alkali cations migrating around tetrahedrally‐coordinated metals, we find that oxygen anions limit alkali diffusion. By computing the full Einstein expression of the ionic conductivity, we demonstrate that the alkali transference number of these materials is strongly influenced by distinct‐particles correlations, while alkali transport is dictated by uncorrelated self‐diffusion. By extending this analysis to chemical compositions AMX 2.5 O 0.75 , spanning different alkaline (A = Li, Na, K), metallic (M = Al, Ga, In), and halogen (X = Cl, Br, I) species, we clarify why the diffusion properties of these materials remain largely insensitive to variations in atomic isovalent chemistry.
Identification and characterization of battery active compound structures formed on nickel oxide electrode during charging and discharging
Polymer separator materials for heat sterilizable battery
Automatic battery formation cycler and controller to determine charge capacity and to perform charge-discharge operations for electrochemical cells intended for satellite power sources
Radiation effects on silver-zinc battery electrodes
Fabrication and testing of battery separator material of modified polyethylene film