This repository provides preprocessing code for the work "Unlocking ultrafast diagnosis of retired batteries via interpretable machine learning and optical fiber sensors". You can download the raw datasets from the Figshare: https://figshare.com/articles/dataset/Raw_data_of_the_LMO_and_LFP_batteries/26927398. After that, you can use the code in data_utils/interplotate_sample_frequency_strict.ipynb to concatenate the raw optical data and electrochemical data together.
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Preprocessing code for the work "Unlocking ultrafast diagnosis of retired batteries via interpretable machine learning and optical fiber sensors"
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Ruifeng-Tan/Ultrafast-diagnosis-of-retired-batteries
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Preprocessing code for the work "Unlocking ultrafast diagnosis of retired batteries via interpretable machine learning and optical fiber sensors"
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