The Arrhenius rule of thumb: run the cells roughly 10 °C hotter and the degradation rate rises — for LFP calendar ageing by about a third (Ea ≈ 21 kJ/mol), which with √t fade means roughly half the years to end-of-life; NMC is steeper. And the pack doesn’t age at its average temperature: in the heat, the hottest cell sets the clock; in the cold, under charge, the coldest cell is the risk. That is why thermal analysis is money, not hygiene.
scroll — estimate your pack below · the red wave is a runaway propagationThe same cell on the same duty — daily peak-shaving, one cycle a day, 80% DOD, 0.5C — at three cell temperatures, full model (calendar + cycling + plating), anchored to the selected cell’s datasheet. End of life at 80% is where warranties and augmentation budgets live.
A coarse, public model with three loss mechanisms: calendar ageing (Arrhenius, rate-based), cycle wear (Wang et al. 2011 throughput model), and charge-side lithium plating — the term that turns the curve back down when cells run cold. Every constant is labeled SRC (sourced) or ASM (assumption, calibration pending) in the model source, and the whole thing ships with regression tests. The deep analysis replaces it with a network calibrated on 383 public abuse tests, uncertainty per ASME V&V 20.
What the numbers above are worth, in the two places that follow directly from your inputs.