ARKADEEPTHINKS

ARKADEEPTHINKS's Stars

• ali-ghorbani-k/SOC-estimation-of-lithium-ion-batteries

  Various machine learning algorithms have been used to estimate state-of-charge (SOC) of calendar-aged lithium-ion pouch cells. Calendar life data was generated by applying galvanostatic charge/discharge cycle loads at different storage temperature (35°C and 60°C) and conditions (fully-discharged and fully-charged). The data was obtained at various C-rates for duration of 10 months at one-month intervals. The wininng model, Random Forest (RF), has achieved a R2 score of 99.98% and a mean absolute error (MAE) of 0.14% over test data, confirming the ability of RF to capture input-output dependency. The model will be employed to estimate the SOC of calendar-aged lithium-ion batteries which is essential for the reliable operation of electic vehicles (EVs).

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• KeiLongW/battery-state-estimation

  Estimation of the State of Charge (SOC) of Lithium-ion batteries using Deep LSTMs.

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• uslumt/Battery_SoC_Estimation

  Battery State Of Charge(SoC) Estimation Using Stochastic Methods & Machine Learning.

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• sautee/battery-state-of-charge-estimation

  Predict battery state of charge (SOC) using machine learning + Streamlit web app.

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• Zigarov/SoC-Estimation-SVR

  Example of Machine Learning application: State of Charge estimation of a battery using SVR

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• imranineuron/Python-task-01

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• Mandal-21/Flight-Price-Prediction

  Now you can get Flight ticket fare with this wonderful end to end project.

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• krishnaik06/5-Days-Live-EDA-and-Feature-Engineering

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• Pierian-Data/Complete-Python-3-Bootcamp

  Course Files for Complete Python 3 Bootcamp Course on Udemy

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