{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/1274"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/1274","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Thermal characterization and modeling of an energy storage system","abstract":"The thesis reports a virtual design tool that was developed to predict and analyze thermal loads in an electric vehicle charging system. The tool was designed using computational fluid dynamics techniques and validated with experiments to provide a system-level view of the temperature profiles of all components and airflow patterns inside the charging system. The existing configuration of the charging system indicated that the cooling was capable of maintaining a maximum surface temperature of 35.61℃ for the lithium-ion batteries. Using the virtual design tool, the placement of the air conditioner and configuration of the battery fans were modified, resulting in an improvement in the cooling distribution of the batteries where the maximum surface temperature was decreased to 34.99℃. A novel method of quantifying battery surface temperatures through the use of a Rack Cooling Index was presented for examining the cooling effectiveness in the system.","abstract_html":"The thesis reports a virtual design tool that was developed to predict and analyze thermal loads in an electric vehicle charging system. The tool was designed using computational fluid dynamics techniques and validated with experiments to provide a system-level view of the temperature profiles of all components and airflow patterns inside the charging system. The existing configuration of the charging system indicated that the cooling was capable of maintaining a maximum surface temperature of 35.61℃ for the lithium-ion batteries. Using the virtual design tool, the placement of the air conditioner and configuration of the battery fans were modified, resulting in an improvement in the cooling distribution of the batteries where the maximum surface temperature was decreased to 34.99℃. A novel method of quantifying battery surface temperatures through the use of a Rack Cooling Index was presented for examining the cooling effectiveness in the system.","abstract_has_math":false,"creators":["Chea, Branson"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Agelin-Chaab, Martin"],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-09-01","date_published":"2020-09-01","updated_at":"2026-07-24T05:35:24Z","subjects":["CFD","Thermal characterization","Charging system","Lithium-ion batteries"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/1274","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Agelin-Chaab, Martin"]},{"key":"dc:creator","label":"Author","values":["Chea, Branson"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2021-04-19T16:47:28Z","2022-03-29T16:46:18Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2021-04-19T16:47:28Z","2022-03-29T16:46:18Z"]},{"key":"dc:date.issued","label":"Date","values":["2020-09-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical 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":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["CFD","Thermal characterization","Charging system","Lithium-ion batteries"]}]},{"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/10155/1274"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The thesis reports a virtual design tool that was developed to predict and analyze thermal loads in an electric vehicle charging system. The tool was designed using computational fluid dynamics techniques and validated with experiments to provide a system-level view of the temperature profiles of all components and airflow patterns inside the charging system. The existing configuration of the charging system indicated that the cooling was capable of maintaining a maximum surface temperature of 35.61℃ for the lithium-ion batteries. Using the virtual design tool, the placement of the air conditioner and configuration of the battery fans were modified, resulting in an improvement in the cooling distribution of the batteries where the maximum surface temperature was decreased to 34.99℃. A novel method of quantifying battery surface temperatures through the use of a Rack Cooling Index was presented for examining the cooling effectiveness in the system."]},{"key":"dc:title","label":"Title","values":["Thermal characterization and modeling of an energy storage system"]}]}],"canonical_facts":{"dc:contributor.advisor":["Agelin-Chaab, Martin"],"dc:creator":["Chea, Branson"],"dc:date.accessioned":["2021-04-19T16:47:28Z","2022-03-29T16:46:18Z"],"dc:date.available":["2021-04-19T16:47:28Z","2022-03-29T16:46:18Z"],"dc:date.issued":["2020-09-01"],"dc:description.abstract":["The thesis reports a virtual design tool that was developed to predict and analyze thermal loads in an electric vehicle charging system. The tool was designed using computational fluid dynamics techniques and validated with experiments to provide a system-level view of the temperature profiles of all components and airflow patterns inside the charging system. The existing configuration of the charging system indicated that the cooling was capable of maintaining a maximum surface temperature of 35.61℃ for the lithium-ion batteries. Using the virtual design tool, the placement of the air conditioner and configuration of the battery fans were modified, resulting in an improvement in the cooling distribution of the batteries where the maximum surface temperature was decreased to 34.99℃. A novel method of quantifying battery surface temperatures through the use of a Rack Cooling Index was presented for examining the cooling effectiveness in the system."],"dc:identifier.uri":["https://hdl.handle.net/10155/1274"],"dc:language.iso":["en"],"dc:subject":["CFD","Thermal characterization","Charging system","Lithium-ion batteries"],"dc:title":["Thermal characterization and modeling of an energy storage system"],"dc:type":["Thesis"],"thesis:degree_discipline":["Mechanical 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"}