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EV-QA-Framework
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
Review required
v2.5.0
Breaking risk
·
5d
Auth
Telemetry validation
No immediate action
v2.4.0
Breaking risk
·
1mo
Anomaly detector lazy retraining + error logging
No immediate action
v2.3.1
Breaking risk
·
1mo
Fixes and improvements
No immediate action
v2.3.0
Breaking risk
·
1mo
Thermal runaway threshold + pytest + version
No immediate action
v2.2.0
Breaking risk
·
1mo
Optional extras + Anomaly detection + AutoML
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Releases per week, last 12 weeks.
Cadence
0.9 / wk
Last release
5d
Tracked
12
Security score
6.5/10
OpenSSF
—
Open CVEs
0
SECURITY.md
Community
GitHub stars
6
Contributors 90d
2
Open issues
0
Open PRs
0
Stars/wk velocity
0.0
HN peak
2
About
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About
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Python
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Jupyter Notebook
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HTML
View on GitHub
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