Bayesian Virtual Lab (BVL) – Free AI simulator that predicts battery health in minutes.

Who will benefit from it?

• EV and battery companies

• Energy storage teams

• Defense and automotive sectors

• Engineering and R&D teams

How to use it:

1. Go to https://bvl.bayesiancybersecurity.com/

2. Login using test user credentials .User name: bayesian (b small) and password: bayesian123(b small)

3. Either click "Try sample" to test instantly – or click "Load pack" to load your own battery data

4. Set C-rate to 0.5 (or any value)

5. Click "Run simulation" – results appear in seconds

Under "Run simulation", you'll see AI Analysis & RUL – that's where the predictions appear.

About the Groq API Key:

Groq API Key (optional — leave blank for local results).

For more accurate results, add a free Groq key:

1. Go to https://console.groq.com/keys

2. Sign in with Google (no credit card)

3. Click "Create API Key" and copy it (starts with gsk_)

4. Paste it in the simulator, then click "Run AI" – you'll see better, more accurate results.

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 cells, degraded cells, dead cells

• Pack status – Healthy, Monitor closely, or Attention needed

• Predictions with uncertainty (not just one number)

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. Never override a BMS warning. Verify before acting.

Worth trying if you work with batteries and want to see AI-based prediction in action.