MATLAB 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" (collection)

MATLAB 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"

DOI:10.4121/c0e2e54e-b8e2-4539-abeb-d87f0e097e2c.v1

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DOI: 10.4121/c0e2e54e-b8e2-4539-abeb-d87f0e097e2c

Datacite citation style

Raja, Mohamad A.; Kim, Seong Su (2025): MATLAB 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". Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/c0e2e54e-b8e2-4539-abeb-d87f0e097e2c.v1

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Collection

Keywords

Battery data structuring BMS cycling analysis Charge-discharge profiling Data preprocessing MATLAB

by Mohamad A. Raja

, Seong Su Kim

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).