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EV-QA-Framework

Monitoring & Metrics

Python‑based EV battery QA framework that detects thermal runaway, validates BMS telemetry, predicts state‑of‑health and complies with UN 38.3 / IEC 62660 standards

Python Latest v2.5.0 · 5d ago Security brief →

Features

  • Detects thermal runaway via rule‑based heuristics and ML anomaly detection
  • Validates BMS telemetry with Pydantic schemas (rejects out‑of‑range or malformed data)
  • Predicts State‑of‑Health using LSTM and Transformer models
  • Provides cell imbalance analysis, composite battery health scoring and compliance testing against UN 38.3 / IEC 62660 standards

Recent releases

View all 12 releases →
Review required
v2.5.0 Breaking risk
Auth

Telemetry validation

No immediate action
v2.4.0 Breaking risk

Anomaly detector lazy retraining + error logging

No immediate action
v2.3.1 Breaking risk

Fixes and improvements

No immediate action
v2.3.0 Breaking risk

Thermal runaway threshold + pytest + version

No immediate action
v2.2.0 Breaking risk

Optional extras + Anomaly detection + AutoML

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About

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Install & Platforms

Install via
pip

Beta — feedback welcome: [email protected]