{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/1870"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/1870","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Enhanced wireless power transfer system modeling using reflection theory and magnetic circuit analysis","abstract":"This thesis presents an advanced model for wireless power transfer (WPT) systems, designed to optimize efficiency in high-power applications. By incorporating reflection theory and imaginary gyrator to address impedance mismatches between systems, the research refines conventional approaches. The model integrates Faraday's law, reflection theory, circuit analysis, and magnetic circuit theory, validated through both simulations and experiments. Several coil configurations, including circular and hexagonal designs, are analyzed, and a planar coil self-inductance model is developed using magnetic circuit theory. Tested at 3.7 kW, the model identifies peak efficiency points under varying load conditions by combining reflection theory with circuit analysis. Unlike previous models, it adapts to load variations within a 10 Ω tolerance range. The proposed method also optimizes mutual inductance for different power levels and load conditions. This research offers significant advancements for WPT systems in electric vehicle and drone charging, improving efficiency and addressing limitations of existing designs.","abstract_html":"This thesis presents an advanced model for wireless power transfer (WPT) systems, designed to optimize efficiency in high-power applications. By incorporating reflection theory and imaginary gyrator to address impedance mismatches between systems, the research refines conventional approaches. The model integrates Faraday's law, reflection theory, circuit analysis, and magnetic circuit theory, validated through both simulations and experiments. Several coil configurations, including circular and hexagonal designs, are analyzed, and a planar coil self-inductance model is developed using magnetic circuit theory. Tested at 3.7 kW, the model identifies peak efficiency points under varying load conditions by combining reflection theory with circuit analysis. Unlike previous models, it adapts to load variations within a 10 Ω tolerance range. The proposed method also optimizes mutual inductance for different power levels and load conditions. This research offers significant advancements for WPT systems in electric vehicle and drone charging, improving efficiency and addressing limitations of existing designs.","abstract_has_math":false,"creators":["Son, Jeonggi"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Williamson, Sheldon"],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-09-01","date_published":"2024-09-01","updated_at":"2026-07-24T05:35:24Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/1870","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Williamson, Sheldon"]},{"key":"dc:creator","label":"Author","values":["Son, Jeonggi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-12-03T17:34:52Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-12-03T17:34:52Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-09-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/1870"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis presents an advanced model for wireless power transfer (WPT) systems, designed to optimize efficiency in high-power applications. By incorporating reflection theory and imaginary gyrator to address impedance mismatches between systems, the research refines conventional approaches. The model integrates Faraday's law, reflection theory, circuit analysis, and magnetic circuit theory, validated through both simulations and experiments. Several coil configurations, including circular and hexagonal designs, are analyzed, and a planar coil self-inductance model is developed using magnetic circuit theory. Tested at 3.7 kW, the model identifies peak efficiency points under varying load conditions by combining reflection theory with circuit analysis. Unlike previous models, it adapts to load variations within a 10 Ω tolerance range. The proposed method also optimizes mutual inductance for different power levels and load conditions. This research offers significant advancements for WPT systems in electric vehicle and drone charging, improving efficiency and addressing limitations of existing designs."]},{"key":"dc:title","label":"Title","values":["Enhanced wireless power transfer system modeling using reflection theory and magnetic circuit analysis"]}]}],"canonical_facts":{"dc:contributor.advisor":["Williamson, Sheldon"],"dc:creator":["Son, Jeonggi"],"dc:date.accessioned":["2024-12-03T17:34:52Z"],"dc:date.available":["2024-12-03T17:34:52Z"],"dc:date.issued":["2024-09-01"],"dc:description.abstract":["This thesis presents an advanced model for wireless power transfer (WPT) systems, designed to optimize efficiency in high-power applications. By incorporating reflection theory and imaginary gyrator to address impedance mismatches between systems, the research refines conventional approaches. The model integrates Faraday's law, reflection theory, circuit analysis, and magnetic circuit theory, validated through both simulations and experiments. Several coil configurations, including circular and hexagonal designs, are analyzed, and a planar coil self-inductance model is developed using magnetic circuit theory. Tested at 3.7 kW, the model identifies peak efficiency points under varying load conditions by combining reflection theory with circuit analysis. Unlike previous models, it adapts to load variations within a 10 Ω tolerance range. The proposed method also optimizes mutual inductance for different power levels and load conditions. This research offers significant advancements for WPT systems in electric vehicle and drone charging, improving efficiency and addressing limitations of existing designs."],"dc:identifier.uri":["https://hdl.handle.net/10155/1870"],"dc:language.iso":["en"],"dc:title":["Enhanced wireless power transfer system modeling using reflection theory and magnetic circuit analysis"],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:24Z"}