Code for Structuring BMS Battery Cycling Data into Charge/Discharge Profiles for Analysis & ML. Related Paper: "Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction"
What's in it
This repository contains MATLAB code for structuring raw battery cycling data obtained from Battery Management Systems (BMS). The script converts multi-sheet Excel data into a cycle-based format commonly used in the battery research community, similar to the NASA battery dataset structure. This code was used in the paper titled: "Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction." It is a simple, well-documented code that separates voltage, current, and capacity data into individual charging and discharging cycles. The data is stored in a MATLAB structure, making it suitable for downstream analysis or machine learning. In my case, BMS data from structural carbon fiber battery lamina was used as a showcase for the data processing framework. This code was developed during my Master's research at KAIST (Korea Advanced Institute of Science and Technology).
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