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battery-health

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An interpretable battery health engine that detects hidden points of no return instead of just predicting health %. It models stress, buffer, and degradation intensity, discovers Stable/Drifting/Irreversible regimes via GMM, and learns simple Decision Tree thresholds, with a Streamlit app for diagnostics and what-if scenarios.

  • Updated Dec 16, 2025
  • Python

Battery Management System (BMS) for a 3S 12V 80Wh lithium-ion battery pack, focused on safe and intelligent fast charging, thermal protection, and cell health tracking. (2023)

  • Updated Jun 18, 2025
  • C++

BattSense is a machine learning project focused on predicting the State of Health (SOH) of lithium-ion batteries using operational parameters such as voltage, current, temperature, and capacity. The model enables accurate, data-driven diagnostics for battery performance monitoring in electric vehicles and portable devices.

  • Updated Aug 12, 2025
  • TypeScript

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