Battery Health Prediction ML Frameworks

ML frameworks and systems for predicting State of Health (SOH), Remaining Useful Life (RUL), and State of Charge (SOC) of lithium-ion batteries using deep learning and machine learning models. Does NOT include general time-series forecasting, energy grid optimization, or non-battery-specific degradation prediction.

There are 22 battery health prediction frameworks tracked. The highest-rated is umbertogriffo/Predictive-Maintenance-using-LSTM at 44/100 with 722 stars.

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#	Framework	Score	Tier	Stars	Language
1	umbertogriffo/Predictive-Maintenance-using-LSTM Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent...	44	Emerging	722	Python
2	MichaelBosello/battery-rul-estimation Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs	40	Emerging	198	Jupyter Notebook
3	shivamm-verma/AERISK AERISK(Aviation Risk Analysis System) 👉🏼 ML-based predictive maintenance for...	36	Emerging	3	Jupyter Notebook
4	sileneer/NRP_2022_EEE12 LSTM and GRU model to predict the SOH of the batteries	34	Emerging	70	Jupyter Notebook
5	uw-mad-dash/Battery-SoC-Estimation Data and code for the paper 'Estimating Battery State-of-Charge within 1%...	33	Emerging	32	Jupyter Notebook
6	XiuzeZhou/RUL Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries	32	Emerging	478	Jupyter Notebook
7	alexdatadesign/lfp_soc_ml LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data	31	Emerging	32	Jupyter Notebook
8	Neel-Dandiwala/Lithium-Batteries-RUL-ANN An artificial neural network (ANN) based method is developed for achieving...	30	Emerging	16	Jupyter Notebook
9	krithicswaroopan/Lithium-ion_battery_SOH_Prediction The project analyzes battery cycling data to predict degradation patterns...	29	Experimental	9	Jupyter Notebook
10	sautee/battery-state-of-charge-estimation Predict battery state of charge (SOC) using machine learning + Streamlit web app.	27	Experimental	85	Jupyter Notebook
11	uslumt/Battery_SoC_Estimation Battery State Of Charge(SoC) Estimation Using Stochastic Methods & Machine Learning.	25	Experimental	37	Jupyter Notebook
12	marbatis/electric-vehicle-telemetry EV battery telemetry modeling for remaining useful life prediction with...	22	Experimental	—	Jupyter Notebook
13	terencetaothucb/TBSI-Sunwoda-Battery-Dataset Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI)...	22	Experimental	59	MATLAB
14	Utkarsh2812/RUL-and-SOH-Predictions-Using-Neural-Networks A Deep Neural Network based model to predict the Remaining Useful Life...	22	Experimental	15	Jupyter Notebook
15	MystiFoe/battery-rul-prediction Professional Battery RUL Prediction System with Advanced Machine Learning -...	22	Experimental	12	Python
16	terencetaothucb/Pulse-Voltage-Response-Generation PulseBat dataset for retired battery reuse and recycling decision making. We...	22	Experimental	23	Python
17	ikumpli/LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries This paper summarizes a deep learning-based approach with an LSTM trained on...	19	Experimental	69	Jupyter Notebook
18	KiKi0016/State-of-Health-Estimation-of-Electric-Vehicle-Batteries-Using-DeTransformer Deep learning of lithium-ion battery SOH using the DeTransformer model...	18	Experimental	66	Python
19	kassahunenyew/battery-digital-twin AI-powered battery State of Health estimator using Physics-Informed Neural...	14	Experimental	—	Python
20	dhritikasaikia/nasa-battery-eda EDA of NASA PCoE Battery Dataset	14	Experimental	—	Jupyter Notebook
21	marplan/Cell-Li-Gent Tinkering on neural networks for battery modeling and agent-based operating...	13	Experimental	5	Python
22	sharvesh1401/BattSense BattSense is a machine learning project focused on predicting the State of...	12	Experimental	1	TypeScript

Comparisons in this category

battery-rul-estimation and RUL (40 vs 32) RUL and battery-rul-prediction (32 vs 22) battery-rul-estimation and battery-rul-prediction (40 vs 22) Battery-SoC-Estimation and Battery_SoC_Estimation (33 vs 25)