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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.

What do Coulombic Efficiency and Capacity Retention Truly Measure? A Deep Dive into Cyclable Lithium Inventory, Limitation Type, and Redox Side Reactions

In this work, the battery performance metrics of Coulombic efficiency (CE) and capacity retention (CR) are derived in terms of cycling current and side-reaction currents at each electrode.

Understanding Anomalous Behavior in Coulombic Efficiency Measurements on Li-Ion Batteries

Accurate CE measurements can therefore be used to rapidly rank cells according to their life-time without relying on tests that are many years long...

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.

Coulombic Efficiency Blog Series: Part 1 of 5 – Introducing Coulombic Efficiency

Coulombic Efficiency (CE) is the single most important metric when projecting the future performance of a battery. We talk about what it is, why it's useful and how we break it down.
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Coulombic Efficiency Blog Series: Part 2 of 5 – Coulombic Inefficiency

To make CE more useful and relevant for a given product or technology application, CE may need to be normalized for time, broadening its scope of applicability. This is Coulombic Inefficiency per hour (CIE/hr)
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Coulombic Efficiency Blog Series: Part 3 of 5 – Capacity Fade

Since CIE/hr is obtained by normalizing CE for time, the underlying mechanisms that govern both are the same. For that reason, it’s well worth it to dig deeper into the ingredients that make up CE. Which brings us to the first of two components that make up the CE of a cell: capacity fade.
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Coulombic Efficiency Blog Series: Part 4 of 5 – Charge End-Point Capacity Slippage

Understanding why the CE of a cell is worse than another is crucial to the cell development cycle. This is where measurements must also include charge end-point capacity slippage.
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