Bayesian Virtual Lab

Bayesian Virtual Lab (BVL) is an AI simulator that predicts battery health in minutes, not weeks. It uses physics-informed machine learning to analyze battery data and provide actionable insights on degradation, remaining useful life (RUL), and pack health. How to try it: Go to https://bvl.bayesiancybersecurity.com/ Log in with the test account – Username: bayesian, Password: bayesian123 Click "Try sample" – or upload your own battery data Set C-rate to 0.5 (or any value) Click "Run simulation" – results appear in seconds Under "Run simulation", you'll see AI Analysis & RUL What you get: How much battery life is left (in cycles and years) Which specific cell is weakest (e.g., Cell #2) Pack summary – total cells, healthy, degraded, and dead cells Pack status – Healthy, Monitor closely, or Attention needed Predictions with uncertainty (not just one number) Who it's for: EV and battery companies Energy storage teams Defense and automotive sectors Engineering and R&D teams What it doesn't claim: This is a research demo – not a certified product. Results are for learning and evaluation. Important: This is not a safety system. It cannot detect thermal runaway, internal shorts, venting, or fire. Never use it to decide whether a battery is safe to operate, charge, transport, or store.