Spectro™ - May Update
In this Newsletter we discuss matrix development to test deep-cycle lead acid and Li-ion batteries with a Spectro™ test device. Because of shared architecture, starter batteries use an automotive-tuned generic matrix with pass/fail classification. Li-ion and deep-cycle lead acid batteries are more distinctive and need a model-specific matrix. A well-developed matrix can provide astonishing results that will only come to light once full explored.
Battery testing simulates face recognition
The Spectro™ test methods share similarities with face recognition in which a camera takes a multi-dimensional image to identify features and characteristics with artificial intelligence (AI). Another analogy is a weather forecast in which instruments take wind speed, temperature and humidity, a packet of data that is fed into a computer to tell when the rain will start and how much.
Electrochemical impedance spectroscopy (EIS), as used in the Spectro™, captures the “landscape” of a battery with a frequency scan to derive state-of-health (SoH) with AI. Unlike conventional battery testers that measure voltage and internal resistance, Spectro™ assesses the capacity, the leading health indicator to predict the remaining useful life (RUL) of a battery.
The DAU tests and scans batteries automatically
Matrix development requires measuring the capacity of batteries with different performance levels by applying a full charge/discharge/charge cycle, followed by the frequency scan to capture the Nyquist plot.
To automate the test, we offer the Data Acquisition Unit (DAU) that we send to qualified customers on request. The DAU scans batteries on site and downloads the test data to the Cadex Cloud by Internet. Not transporting batteries saves the environment.
A matrix resembles a bridge with multiple pillars
The more batteries of diverse performances are scanned, the stronger the matrix becomes. New packs are readily available, so are end-of-life packs; however, mid-rangers are harder to get because they are in service. A mature matrix resembles a bridge built on many several support pillars.