An Autotuned Model Predictive Controller Design for Parallel Input Parallel output Modular DAB Converter For EV Charging Station

preprint OA: closed
Full text JSON View at publisher
Full text 12,068 characters · extracted from preprint-html · click to expand
An Autotuned Model Predictive Controller Design for Parallel Input Parallel output Modular DAB Converter For EV Charging Station | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article An Autotuned Model Predictive Controller Design for Parallel Input Parallel output Modular DAB Converter For EV Charging Station Sai Srinivas Prasanth A, Siddharthi Jaihind, Jyotismita Mishra, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8848167/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract This paper proposed an adaptive model predictive controller for parallel input and parallel output (PIPO) modular dual active bridge (m-DAB) converter in electric vehicle charging applications. To obtain faster growth in charging conditions, two different control strategies i.e. PI and adaptive model predictive controller (AMPC) are compared to analyze and implement various phase shift techniques at different operating modes of operations. Also, detailed stability models are designed for both classical PI and AMPC with required frequency response analysis. In order to help with stability and robustness in operation, the proposed AMPC technique enables sufficient current and power-shifting among parallel modules. This approach significantly reduces current stress on power switches, simplifies control architecture, and mitigates thermal losses, thereby enhancing system lifespan. The extensive analysis for both clasical and proposed AMPC is verified in real-time simulation for different modes of operation. Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Mathematics and computing Dual Active Bridge (DAB) modular structure DC-DC Converter adaptive model predictive controller Parallel-Input Parallel-Output (PIPO) Small Signal Analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 10 Apr, 2026 Reviewers agreed at journal 30 Mar, 2026 Reviewers invited by journal 30 Mar, 2026 Editor assigned by journal 24 Mar, 2026 Editor invited by journal 23 Mar, 2026 Submission checks completed at journal 18 Mar, 2026 First submitted to journal 13 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8848167","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":614975192,"identity":"0efcddcb-4640-4130-977a-5a05898dc77e","order_by":0,"name":"Sai Srinivas Prasanth A","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Sai","middleName":"Srinivas Prasanth","lastName":"A","suffix":""},{"id":614975193,"identity":"0f51d1dd-d5c6-4e0d-a4ee-48099b4fa4ab","order_by":1,"name":"Siddharthi Jaihind","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Siddharthi","middleName":"","lastName":"Jaihind","suffix":""},{"id":614975194,"identity":"63e54e84-6ea0-43a9-8f60-504445f2fd05","order_by":2,"name":"Jyotismita Mishra","email":"data:image/png;base64,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","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":true,"prefix":"","firstName":"Jyotismita","middleName":"","lastName":"Mishra","suffix":""},{"id":614975195,"identity":"49fc829a-7bd0-48e4-9db6-895c9ef0b150","order_by":3,"name":"Mithu Sarkaar","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Mithu","middleName":"","lastName":"Sarkaar","suffix":""}],"badges":[],"createdAt":"2026-02-11 07:08:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8848167/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8848167/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105875655,"identity":"a5f5db65-3a3b-48a5-9257-96d206dcbfe0","added_by":"auto","created_at":"2026-04-01 05:41:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2314573,"visible":true,"origin":"","legend":"","description":"","filename":"AnAutotunedModelPredictiveControllerDesignforParallelInputParalleloutputModularDABConverterForEVChargingApplications5.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8848167/v1_covered_5131f349-3314-43b9-8af7-dcf20a7f448f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An Autotuned Model Predictive Controller Design for Parallel Input Parallel output Modular DAB Converter For EV Charging Station","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Dual Active Bridge (DAB), modular structure, DC-DC Converter, adaptive model predictive controller, Parallel-Input Parallel-Output (PIPO), Small Signal Analysis","lastPublishedDoi":"10.21203/rs.3.rs-8848167/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8848167/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper proposed an adaptive model predictive controller for parallel input and parallel output (PIPO) modular dual active bridge (m-DAB) converter in electric vehicle charging applications. To obtain faster growth in charging conditions, two different control strategies i.e. PI and adaptive model predictive controller (AMPC) are compared to analyze and implement various phase shift techniques at different operating modes of operations. Also, detailed stability models are designed for both classical PI and AMPC with required frequency response analysis. In order to help with stability and robustness in operation, the proposed AMPC technique enables sufficient current and power-shifting among parallel modules. This approach significantly reduces current stress on power switches, simplifies control architecture, and mitigates thermal losses, thereby enhancing system lifespan. The extensive analysis for both clasical and proposed AMPC is verified in real-time simulation for different modes of operation. ","manuscriptTitle":"An Autotuned Model Predictive Controller Design for Parallel Input Parallel output Modular DAB Converter For EV Charging Station","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-01 05:39:14","doi":"10.21203/rs.3.rs-8848167/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-04-11T01:16:05+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"220552851292556446935081925170481091917","date":"2026-03-30T08:56:01+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-03-30T04:28:01+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-03-24T10:56:36+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-03-23T05:34:25+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-03-18T17:03:40+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2026-03-13T06:38:28+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b9b88e81-1732-44a1-abe2-5558e7066232","owner":[],"postedDate":"April 1st, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":65435660,"name":"Physical sciences/Energy science and technology"},{"id":65435661,"name":"Physical sciences/Engineering"},{"id":65435662,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2026-04-01T05:39:14+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-01 05:39:14","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8848167","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8848167","identity":"rs-8848167","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00