Show HN: EV-QA-Framework – ML-powered QA for electric vehicle battery systems

Category: library

Tags: ev-battery, quality-assurance, anomaly-detection

Score: 6.0/10 (Innovation: 5, Technical: 7, Documentation: 7, Utility: 5)

EV-QA-Framework is an ML-powered quality assurance tool for electric vehicle battery systems, combining rule-based validation with anomaly detection and State of Health prediction via LSTM. It offers a CAN bus emulator and real-time dashboard, enabling offline testing and analysis without physical hardware. The integration of ML with EV battery telemetry analysis is a practical and interesting approach.

Target audience: data engineers

Repository: https://github.com/remontsuri/EV-QA-Framework · Python · MIT · 3 stars

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