Battery Simulator
Think manifolds, not PDEs.
The Bayesian Virtual Lab lets you sweep operating parameters and watch posterior uncertainty bands update as the MW model reasons over a battery’s degradation manifold.
Ask “what if” before you change the setpoint
The simulator is a demonstration tool. Your own assessment uses your log; the simulator shows how the model reasons about operating levers in general.
- Sweep operating conditionsChange temperature, state-of-charge window, depth of discharge or C-rate and watch the forecast move.
- See uncertainty, not just a linePosterior bands widen and narrow as the model becomes more or less sure.
- Tell real effects from noiseAn operating change is only worth acting on if it moves the forecast by more than the model’s uncertainty.
An alternative to the 300-year-old pipeline
Classical physics simulation is rigorous, but it was never built for fast decisions on live infrastructure, so we built a faster path alongside it.
The classical way
- Real world
- Lagrangian
- PDEs
- Solve (can take weeks of compute)
The MW way
- Real world + physics priors
- A learned manifold of valid states
- Query (fast inference)
Try it on your own data.
Share a BMS/CAN log. We run it through the MW Battery Engine and send back an MW Battery Assessment Report: findings, how sure we are, and what to do next. The first assessment is free.