A Bayesian changepoint model on the charge-to-discharge time ratio health indicator, implemented in PyMC, detects consistent midlife degradation onset with narrow posterior intervals on an open 18650-cell RUL dataset.
Towards smart sensing of battery degradation modelling: Bayesian approach,
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Bayesian Changepoint Detection for Smart Sensing of Battery Degradation: Cycle-Level Health Indicators and PyMC Implementation
A Bayesian changepoint model on the charge-to-discharge time ratio health indicator, implemented in PyMC, detects consistent midlife degradation onset with narrow posterior intervals on an open 18650-cell RUL dataset.