{"data":{"id":"10.4121/c0e2e54e-b8e2-4539-abeb-d87f0e097e2c","type":"dois","attributes":{"doi":"10.4121/c0e2e54e-b8e2-4539-abeb-d87f0e097e2c","prefix":"10.4121","suffix":"c0e2e54e-b8e2-4539-abeb-d87f0e097e2c","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Raja, Mohamad A.","nameType":"Personal","givenName":"Mohamad A.","familyName":"Raja","nameIdentifiers":[{"nameIdentifier":"0009-0007-4646-9751","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Kim, Seong Su","nameType":"Personal","givenName":"Seong Su","familyName":"Kim","nameIdentifiers":[{"nameIdentifier":"0000-0001-8722-0505","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"MATLAB Code for Structuring BMS Battery Cycling Data into Charge/Discharge Profiles for Analysis \u0026amp; ML. Related Paper: \"Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction\""}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2025,"subjects":[{"subject":"Energy Storage, Distribution and Supply","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8506"},{"subject":"Energy Conservation and Efficiency","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8507"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Education and Training","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"93"},{"subject":"Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"85"},{"subject":"Battery data structuring"},{"subject":"MATLAB"},{"subject":"BMS cycling analysis"},{"subject":"Charge-discharge profiling"},{"subject":"Data preprocessing"}],"contributors":[{"name":"Korea Advanced Institute Of Science \u0026 Technology (KAIST)","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2025-05-17","dateType":"Issued"}],"language":"en","types":{"ris":"GEN","bibtex":"misc","citeproc":"article","schemaOrg":"Collection","resourceType":"Collection","resourceTypeGeneral":"Collection"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1021/acsami.4c19073","relatedIdentifierType":"DOI"},{"relationType":"References","relatedIdentifier":"https://github.com/MohamadA-RJ/BatteryCycleStruct","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/c0e2e54e-b8e2-4539-abeb-d87f0e097e2c.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1","rightsList":[],"descriptions":[{"description":"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: \u003cem\u003e\"Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction.\"\u003c/em\u003eIt 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).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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