battery-state-of-charge-estimation and Battery_SoC_Estimation
About battery-state-of-charge-estimation
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.
About Battery_SoC_Estimation
uslumt/Battery_SoC_Estimation
Battery State Of Charge(SoC) Estimation Using Stochastic Methods & Machine Learning.
This project helps battery engineers and manufacturers accurately estimate the remaining charge in lithium-ion batteries. By taking raw battery sensor data, it provides precise State of Charge (SoC) estimations using various machine learning and stochastic methods. This is crucial for optimizing battery performance and ensuring reliable operation in electric vehicles and other battery-powered systems.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work