Abstract
In this study, calendar aging is investigated across different cell chemistries, temperatures, and state of charges in a dataset spanning over 10 years. By tracking the capacity and resistance over the course of degradation, we analyze the similarities and difference in calendar aging seen across chemistries and testing conditions. We parameterize degradation curves using standard semi-empirical models to assess Arrhenius dependence, t^x fitting, and time dependent non-linearity of calendar aging across different chemistries, testing conditions, and cell to cell variability. Through this process we demonstrate the complexity of calendar aging and the difficulty of its modeling, calling for the need for more robust prediction models.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call