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Removing Noise in Lithium-Ion Battery Cell Self-Discharge Data Sets
Li-Ion self discharge measurement data shows significant noise, complicating interpretation. This application note presents a series of algorithms that can effectively remove most of this noise, which improves the reliability of cell classification.

Application Note 2019-05-21

Matching Response Times of Lithium-Ion Cell Self-Discharge Current Measurements
New system calibration method assures well-matched response times of self-discharge current measurements, enabling reliable classification of cells more quickly.

Application Note 2019-05-21

How to Shorten Li-Ion Self-Discharge Test Time? - White Paper
High levels of Li-Ion cell self-discharge are indicative of latent failures. The new potentiostatic solution from Keysight addresses cell self-discharge measurement challenges with revolutionary reduction in time, save cost and accelerate time-to-market.

Application Note 2018-01-26

Measure Lithium Ion Self-Discharge of Cells in a Fraction of the Time Traditionally Required
This new way to determine a cell’s self-discharge by measuring its self-discharge current allows cells with excessively high self-discharge to be identified and isolated much quicker vs traditional open-circuit voltage approaches.

Application Note 2017-12-08