BEEP: A Python library for Battery Evaluation and Early Prediction
Battery evaluation and early prediction software package (BEEP) provides an open-source Python-based framework for the management and processing of high-throughput battery cycling data-streams.
A Python Package to Preprocess the Data Produced by Novonix High-Precision Battery-Testers
We present preparenovonix, a Python package that handles common issues encountered in data files generated with a range of software versions from the Novonix battery-testers.
Importance of coulombic efficiency measurements in R & D efforts to obtain long-lived li-ion batteries
Determining the lifetime of Li-ion cells destined for decade-long applications is very challenging. Li-ion cells for long life applications fail because of parasitic reactions, occurring at tiny rates, between the electrolyte and the charged electrodes that are occurring all the time.
The Impact of Electrolyte Additives Determined Using Isothermal Microcalorimetry
Isothermal microcalorimetry can easily discriminate exactly where in the voltage range the additive is providing a benefit with just a single cycle. As a demonstrative example, the effect of varying concentrations of vinylene carbonate (VC) on a LiCoO2/graphite cell is examined.
Measurement of Li-Ion Battery Electrolyte Stability by Electrochemical Calorimetry
In this paper we describe what we term an "integration/subtraction" technique for determining the electrolyte reactivity as a function of cell voltage in Li-ion full pouch cells.
A non-destructive technique for physically detecting the growth of the solid electrolyte interphase (SEI) during cycling of Li-ion pouch cells is presented.
Effects of Graphite Heat-Treatment Temperature on Single-Crystal Li[Ni5Mn3Co2]O2/Graphite Pouch Cells
In this work, the effect of the heat-treatment temperature of synthetic (artificial) graphite on the electrochemical performance of LiNi0.5Mn0.3Co0.2O2/graphite pouch cells was explored and compared with cells utilizing commercial-grade artificial and natural graphite materials
NOVONIX – Estimating measurement error in Coulombic Efficiency with UHPC
NOVONIX's UHPC Channel Modules are capable of making measurements of current with precisions of better than 20 parts per million across their measurement ranges. But how does that precision in current translate to precision in measurements of CE? This paper will explore how we estimate our measurement error in CE from our raw data.
NOVONIX – Screening Graphite Materials for Lifetime Based on UHPC Measurements of Parasitic Current in Half Cells
The method presented here is designed to allow a quantitative ranking among different materials to be made from tests on coin half cells, that can be translated to form a qualitative lifetime prediction in full cells.
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