Healthy cell (≥95% SoH)
Degrading (80–95%)
End-of-life (<80%)
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A digital twin doesn't just visualize a physical asset — it runs a live model of it, fed by the same variables real sensors report, to forecast how the asset will age. This simulator builds a digital twin of a 4 MWh grid-scale battery storage rack: 240 individually modeled lithium-ion cells, each aging under a Wöhler-Arrhenius capacity-fade law driven by the C-rate, temperature and depth-of-discharge you set. Watch the rack shift from green to amber to red cell by cell as equivalent full cycles accumulate, read the fleet state-of-health and the worst-performing cell in real time, and see directly why fast-charging a hot pack burns through calendar life far faster than gentle, cool cycling — the exact trade-off real BESS operators use digital twins to manage.