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.
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Use this if you need to precisely track the charge level of Li-ion batteries to improve performance, extend lifespan, or enhance safety in your battery management systems.
Not ideal if your primary concern is the charge estimation for non-Li-ion battery chemistries or if you require an extremely low-resource solution for edge computing without any model optimization.
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Sep 30, 2022
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