Integrated electromagnetic–circuit digital twin modelling for constraint-consistent optimal operation in heterogeneous multi-receiver wireless power transfer systems

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The paper studies how to achieve simultaneously feasible and efficient operating points in heterogeneous single-transmitter, multi-receiver wireless power transfer systems with strong electromagnetic coupling and non-uniform receiver load requirements. The authors build a design-stage digital twin by tightly coupling 3D electromagnetic-field simulations with equivalent circuit modelling, extracting self- and mutual-inductance parameters from the coil geometry to enable physics-consistent prediction of delivered receiver power and total transmission efficiency under interacting receiver conditions. They compute an operating point by enforcing receiver-specific rated power requirements as feasibility constraints while optimizing system efficiency within the feasible region, demonstrated on a 1T–3R case with mixed series- and parallel-compensation topologies and unequal rated powers. A one-dimensional parameter sweep is used to assess local robustness and sensitivity, though the preprint provides evidence tied to this specific configuration rather than a broader range of system setups. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Integrated electromagnetic–circuit digital twin modelling for constraint-consistent optimal operation in heterogeneous multi-receiver wireless power transfer systems | 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 Integrated electromagnetic–circuit digital twin modelling for constraint-consistent optimal operation in heterogeneous multi-receiver wireless power transfer systems Joungha Lee, Seung Beop Lee This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8951862/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 29 Apr, 2026 Read the published version in Scientific Reports → Version 1 posted 11 You are reading this latest preprint version Abstract Heterogeneous multi-receiver wireless power transfer (WPT) systems exhibit strong electromagnetic coupling and non-uniform load requirements, making it difficult to determine an operating point that is simultaneously feasible for all receivers and efficient at the system level. This study presents an integrated electromagnetic–circuit digital twin modelling approach that enables constraint-consistent optimal operation in single-transmitter, multi-receiver WPT systems with mixed compensation topologies. A design-stage digital twin is constructed by tightly coupling three-dimensional electromagnetic-field simulation with equivalent circuit modelling. Self- and mutual-inductance parameters are extracted from the physical coil configuration and mapped into the circuit model, allowing physics-consistent prediction of receiver delivered power and total transmission efficiency under interacting receiver conditions. The operating point is then determined by explicitly enforcing receiver-specific rated power requirements as feasibility constraints while refining system efficiency within the feasible region. The approach is demonstrated on a 1T–3R WPT case study comprising two series-compensated receivers and one parallel-compensated receiver with non-uniform rated powers. The results show that the proposed digital twin modelling enables identification of an operating condition that satisfies all receiver power constraints and improves overall efficiency. A one-dimensional parameter sweep around the obtained operating point further confirms local robustness and sensitivity characteristics, supporting the validity of the constraint-consistent optimum for heterogeneous multi-receiver configurations. Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Mathematics and computing Wireless power transfer (WPT) Digital twin modelling Electromagnetic–circuit coupling Constraint-consistent optimal operation Feasible operating region Multi-receiver systems Full Text Additional Declarations No competing interests reported. Supplementary Files 1.Fig3and4Iterationleveldata.xlsx 2.Fig3and4CallineachIterationleveldata.xlsx Cite Share Download PDF Status: Published Journal Publication published 29 Apr, 2026 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 30 Mar, 2026 Reviews received at journal 24 Mar, 2026 Reviews received at journal 22 Mar, 2026 Reviewers agreed at journal 14 Mar, 2026 Reviewers agreed at journal 11 Mar, 2026 Reviewers agreed at journal 09 Mar, 2026 Reviewers invited by journal 09 Mar, 2026 Editor invited by journal 02 Mar, 2026 Editor assigned by journal 26 Feb, 2026 Submission checks completed at journal 26 Feb, 2026 First submitted to journal 23 Feb, 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. 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