This release includes breaking changes for platform teams planning a safe upgrade.
Published 1mo
Monitoring & Metrics
✓ No known CVEs patched
✓ No known CVEs patched in this version
Topics
anomaly-detection
battery
bms
can-bus
dbc
electric-vehicle
+9 more
ev
grafana
j1939
lstm
machine-learning
prometheus
python
quality-assurance
soh-prediction
Summary
AI summaryUpdates 10 new modules, Infrastructure, and Test suite across a mixed release.
Full changelog
What's new in v2.0.0
10 new modules
- battery_scoring — Composite health score (0–100) with letter grades
- physics_features — Electrochemical/thermal feature extraction
- fleet_analytics — Fleet-wide degradation and anomaly analysis
- digital_twin — Real-time battery simulation
- v2g_scenarios — Vehicle-to-Grid simulation
- automl — Automated model selection and HPO
- soh_transformer — Transformer-based SOH prediction
- hil — Hardware-in-the-Loop interface
- test_standards — UN 38.3, IEC 62660, SAE J2464, ISO 12405
- test_standards_gb — GB/T 31484, GB/T 31486, GB 38031
Test suite
- 235 → 592 tests (+153%)
- Coverage: 60% → 86%
- Pre-commit hooks: ruff, format, pytest
Infrastructure
- Migrated from pip to uv
- Multi-stage Dockerfile with non-root user
- Docker Compose: tests, dashboard, api services
- Unified settings.yaml (removed 5 JSON configs)
Fixes
- SOH predictor scaler serialization
- DBC parser Motorola bit indexing
- Thermal runaway confidence edge case
- J1939 extended frame ID validation
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