The success and performance of a Hybrid Electric Vehicle (HEV) relies largely on its Energy Storage System (ESS). High temperatures and thermal variations can significantly affect a battery's performance and lifecycle. An effective thermal management system is vital to the health and safe operation of the ESS's batteries. A well designed thermal management system begins with the accurate prediction of the battery's thermal conditions. In hot climates, HEVs may be required to operate within ten degrees Celsius of the maximum safe operating temperature of their batteries. This study aims to evaluate the thermal management system of a lithium-ion based energy storage system designed for HEV applications. The analysis uses estimated current values from powertrain simulation software, fundamental heat transfer principles, finite element analysis (FEA), and computational fluid dynamics (CFD) tools to predict the temperature distributions in battery modules.
","abstract_html":"<p>The success and performance of a Hybrid Electric Vehicle (HEV) relies largely on its Energy Storage System (ESS). High temperatures and thermal variations can significantly affect a battery's performance and lifecycle. An effective thermal management system is vital to the health and safe operation of the ESS's batteries. A well designed thermal management system begins with the accurate prediction of the battery's thermal conditions. In hot climates, HEVs may be required to operate within ten degrees Celsius of the maximum safe operating temperature of their batteries. This study aims to evaluate the thermal management system of a lithium-ion based energy storage system designed for HEV applications. The analysis uses estimated current values from powertrain simulation software, fundamental heat transfer principles, finite element analysis (FEA), and computational fluid dynamics (CFD) tools to predict the temperature distributions in battery modules.</p>","abstract_has_math":false,"creators":["Czlapinski, Craig R."],"institution":null,"degree_name":"Master of Science in Mechanical Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Darris White","William Barott","J.E. McKisson"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009-10-01T07:00:00Z","date_published":"2009-10-01T07:00:00Z","updated_at":"2026-07-27T19:25:45Z","subjects":["lithium-ion","energy storage","hybrid electric vehicles","computational fluid dynamics","conjugate heat transfer","Aerodynamics and Fluid Mechanics","Mechanical Engineering","Propulsion and Power"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/db-theses/37","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Darris White","William Barott","J.E. McKisson"]},{"key":"dc:creator","label":"Author","values":["Czlapinski, Craig R."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Mechanical Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["lithium-ion","energy storage","hybrid electric vehicles","computational fluid dynamics","conjugate heat transfer","Aerodynamics and Fluid Mechanics","Mechanical Engineering","Propulsion and Power"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/db-theses/37"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The success and performance of a Hybrid Electric Vehicle (HEV) relies largely on its Energy Storage System (ESS). High temperatures and thermal variations can significantly affect a battery's performance and lifecycle. An effective thermal management system is vital to the health and safe operation of the ESS's batteries. A well designed thermal management system begins with the accurate prediction of the battery's thermal conditions. In hot climates, HEVs may be required to operate within ten degrees Celsius of the maximum safe operating temperature of their batteries. This study aims to evaluate the thermal management system of a lithium-ion based energy storage system designed for HEV applications. The analysis uses estimated current values from powertrain simulation software, fundamental heat transfer principles, finite element analysis (FEA), and computational fluid dynamics (CFD) tools to predict the temperature distributions in battery modules.
"]},{"key":"dc:title","label":"Title","values":["Thermal Modeling of Lithium-Ion Energy Storage Systems for Hybrid Electric Vehicles Using Computational Fluid Dynamics with Conjugate Heat Transfer"]}]}],"canonical_facts":{"dc:contributor":["Darris White","William Barott","J.E. McKisson"],"dc:creator":["Czlapinski, Craig R."],"dc:description.abstract":["The success and performance of a Hybrid Electric Vehicle (HEV) relies largely on its Energy Storage System (ESS). High temperatures and thermal variations can significantly affect a battery's performance and lifecycle. An effective thermal management system is vital to the health and safe operation of the ESS's batteries. A well designed thermal management system begins with the accurate prediction of the battery's thermal conditions. In hot climates, HEVs may be required to operate within ten degrees Celsius of the maximum safe operating temperature of their batteries. This study aims to evaluate the thermal management system of a lithium-ion based energy storage system designed for HEV applications. The analysis uses estimated current values from powertrain simulation software, fundamental heat transfer principles, finite element analysis (FEA), and computational fluid dynamics (CFD) tools to predict the temperature distributions in battery modules.
"],"dc:identifier":["https://commons.erau.edu/db-theses/37"],"dc:subject":["lithium-ion","energy storage","hybrid electric vehicles","computational fluid dynamics","conjugate heat transfer","Aerodynamics and Fluid Mechanics","Mechanical Engineering","Propulsion and Power"],"dc:title":["Thermal Modeling of Lithium-Ion Energy Storage Systems for Hybrid Electric Vehicles Using Computational Fluid Dynamics with Conjugate Heat Transfer"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Mechanical Engineering"]},"updated_at":"2026-07-27T19:25:45Z"}