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Removing Noise in Lithium-Ion Battery Cell Self-Discharge

Removing Noise in Lithium-Ion Battery Cell Self-Discharge

Notas de Aplicação

Keysight’s self-discharge measurement (SDM) solutions (figure 1) measure and characterize self-discharge performance of Li-Ion cells. Self-discharge currents are recorded across an array of cells, with a typical measurement completing in as little as a few minutes. This compares favorably to the 1-2 weeks required by the widely-used alternative method of open circuit voltage measurements.

In practice, SDM data shows significant noise, complicating interpretation. Here, we present a series of algorithms that effectively remove most of this noise. This strongly improves the reliability of cell classification.

We first discuss how SDM data are supposed to look in an idealized setting, and how they get distorted by noise. We then present alternative noise removal approaches and identify their strengths and weaknesses. We show how noise suppression improves classification and conclude with some recommendations for practical applications. 

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