HomeEnergy & ThermodynamicsBattery Storage Digital Twin: State-of-Health Forecaster

Battery Storage Digital Twin: State-of-Health Forecaster

Interactive digital twin of a grid-scale battery energy storage system: drive C-rate, temperature and depth-of-discharge and watch a real capacity-fade model degrade each cell in a 3D rack, forecasting state-of-health and remaining life.

Energy & Thermodynamics3DModerate60 FPS📱 Mobile-adapted⇄ 2D version
climate-topic-64 ↗ Open standalone

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.

⚙ Under the hood

An interactive digital twin of a 4 MWh grid-scale battery storage rack: drive C-rate, temperature and depth-of-discharge and watch a real Wöhler-Arrhenius capacity-fade model degrade all 240 cells cell-by-cell, forecasting fleet state-of-health and remaining cycle life.

battery storagedigital twinstate of healthgrid energypredictive maintenanceBESS

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

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