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delphieritas / Comparative-Study-of-Various-Machine-Learning-ANN-Techniques-to-Predict-the-Lifetime-of-Li-Ion-Bat

Abstract— This work aims at doing a comparative study of various Machine Learning and Deep Learning models that can accurately predict lithium-ion batteries' lifetime.

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Comparative-Study-of-Various-Machine-Learning-ANN-Techniques-to-Predict-the-Lifetime-of-Li-Ion-Bat

Abstract— This work aims at doing a comparative study of various Machine Learning and Deep Learning models that can accurately predict lithium-ion batteries' lifetime.

The following is the original dataset in .m format - 2017-05-12_batchdata_updated_struct_errorcorrect.mat at https://data.matr.io/1 Reference: K. A. SEVERSON Κ.Ά., DATA-DRIVEN PREDICTION OF BATTERY CYCLE LIFE BEFORE CAPACITY DEGRADATION. NATURE ENERGY VOLUME 4, PAGES 383–391 (2019).

Also, kindly note the converted dataset (.csv) has been used from data folder in https://github.com/petermattia/revisit-severson-et-al . generate_voltage_arrays.m script has been used in above github to convert .m format to .csv format.

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Abstract— This work aims at doing a comparative study of various Machine Learning and Deep Learning models that can accurately predict lithium-ion batteries' lifetime.