SQL-based EV battery health and charging abuse analytics system
-
Updated
Feb 22, 2026 - PLpgSQL
SQL-based EV battery health and charging abuse analytics system
Machine Learning based EV Battery Health Prediction Dashboard using FastAPI, Streamlit, and Random Forest to estimate battery SOH, risk level, and maintenance recommendations.
Production-ready implementation of Marcel Krüger’s Helix-Light-Vortex (HLV) Theory for electric-vehicle battery management. Translates HLV’s dual physical–informational framework into real-time BMS middleware for health prediction, degradation awareness, and safe vehicle integration.
Add a description, image, and links to the ev-battery topic page so that developers can more easily learn about it.
To associate your repository with the ev-battery topic, visit your repo's landing page and select "manage topics."