sautee/battery-state-of-charge-estimation
Predict battery state of charge (SOC) using machine learning + Streamlit web app.
This project helps battery engineers and researchers accurately predict the real-time state of charge (SOC) for Li-ion batteries. You input raw battery discharge data, and it outputs precise SOC estimations using pre-trained machine learning models. This is ideal for those managing battery performance, lifespan, or integrating batteries into systems.
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Use this if you need a quick, reliable way to estimate the state of charge for LG 18650HG2 and Panasonic 18650PF Li-ion batteries using a user-friendly web application.
Not ideal if you need to estimate battery surface temperature, predict remaining useful life, or work with battery chemistries significantly different from those used for training.
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Last pushed
Apr 10, 2023
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