Integration with EV-QA-Framework — ML-powered battery telemetry QA

[remontsuri]

Hi PyBaMM team,

I'm the author of EV-QA-Framework — an open-source Python framework for ML-powered QA of EV battery systems.

What it does:

• ML anomaly detection (Isolation Forest) on battery telemetry
• SOH prediction via LSTM
• CAN bus emulation (CAN 2.0B + J1939) with DBC parser
• Cell imbalance detection and thermal runaway prediction
• Prometheus metrics + Grafana dashboard

Integration potential:

• EV-QA-Framework could use PyBaMM for physics-informed ML / BMS validation
• PyBaMM could use EV-QA-Framework for automated QA of outputs

Would you be open to discussing integration points?

Repo: https://github.com/remontsuri/EV-QA-Framework