Risk Assessment and Multi-objective Optimization of Current Sharing for Parallel- connected Multiple Modules of DAB Converters

Risk Assessment and Multi-objective Optimization of Current Sharing for Parallel- connected Multiple Modules of DAB Converters | 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 Risk Assessment and Multi-objective Optimization of Current Sharing for Parallel- connected Multiple Modules of DAB Converters Weixiang Sun, Xinzheng Wang, Zixuan Yang, Tianrui Zhao, Jiaqi Li, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7418697/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract The DAB (Dual - Active Bridge) converter has received significant attention in the fields of automotive electronics and aerospace due to its bidirectional power - flow characteristic. In the context of an increasing demand for higher output currents in power - supply products, the ISOP (Input - Series, Output - Parallel) system offers an effective solution to reduce the input voltage of individual modules and achieve output current sharing. However, multi - module converters are plagued by several drawbacks. These include slow dynamic responses, high sensitivity to parameters, and challenges in accommodating manufacturing tolerances and input disturbances. As a result, ensuring output current sharing in ISOP systems remains a formidable task. This paper focuses on the DAB converter under EPS (Extended Phase - Shift) modulation. An evaluation framework for current - sharing risks in ISOP - DAB systems under EPS modulation is presented. This framework quantifies the impact of inductance value discrepancies and input - voltage dispersions on output current sharing, establishing a parameter - uncertainty propagation model to expose the risk boundaries under the combined influence of multiple factors. Furthermore, a multi - objective optimization genetic algorithm is employed to optimize the inductor current stress and power reflux. Finally, MATLAB simulations are conducted to validate the accuracy of the theoretical derivations presented in this study. Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Mathematics and computing Full Text Additional Declarations No competing interests reported. Supplementary Files shuju102.xlsx Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 08 Sep, 2025 Reviewers agreed at journal 04 Sep, 2025 Reviewers agreed at journal 01 Sep, 2025 Reviewers agreed at journal 30 Aug, 2025 Reviewers invited by journal 30 Aug, 2025 Editor assigned by journal 29 Aug, 2025 Editor invited by journal 27 Aug, 2025 Submission checks completed at journal 24 Aug, 2025 First submitted to journal 24 Aug, 2025 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. 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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-7418697","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":506524643,"identity":"77cfeadb-a570-4ea2-bae2-4446942164fa","order_by":0,"name":"Weixiang Sun","email":"","orcid":"","institution":"Shanghai Institute of Space Power-sources","correspondingAuthor":false,"prefix":"","firstName":"Weixiang","middleName":"","lastName":"Sun","suffix":""},{"id":506524644,"identity":"ce2cc947-a264-4cad-9e4f-a607975a1e3b","order_by":1,"name":"Xinzheng 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In the context of an increasing demand for higher output currents in power - supply products, the ISOP (Input - Series, Output - Parallel) system offers an effective solution to reduce the input voltage of individual modules and achieve output current sharing. However, multi - module converters are plagued by several drawbacks. These include slow dynamic responses, high sensitivity to parameters, and challenges in accommodating manufacturing tolerances and input disturbances. As a result, ensuring output current sharing in ISOP systems remains a formidable task. This paper focuses on the DAB converter under EPS (Extended Phase - Shift) modulation. An evaluation framework for current - sharing risks in ISOP - DAB systems under EPS modulation is presented. This framework quantifies the impact of inductance value discrepancies and input - voltage dispersions on output current sharing, establishing a parameter - uncertainty propagation model to expose the risk boundaries under the combined influence of multiple factors. Furthermore, a multi - objective optimization genetic algorithm is employed to optimize the inductor current stress and power reflux. 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