{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110452"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110452","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Modeling, control, and design of hybrid electrical and thermal energy storage systems","abstract":"Advances in power density, energy storage technology, and thermal management are crucial to the increased electrification of vehicles, including those with high ramp rate loads such as heavy construction and military vehicles. In this thesis, a hybrid electro-thermal energy storage system is introduced which offers a power-dense electro-thermal energy storage solution for future electrified vehicles. This energy storage system includes energy-dense batteries and power-dense ultracapacitors for electrical energy storage, and PCM thermal energy storage modules and coolant loops for thermal energy storage. Multi-domain graph-based modeling techniques are used to facilitate modeling, control, and design optimization of the energy storage system. Graph-based models capture multi-domain dynamics in a unified framework. A heuristic control strategy is used, which seeks to protect the energy storage elements while maintaining references. Sizing and control parameters of the electro-thermal energy storage system are optimized using a graph-based optimization framework. Optimized designs demonstrate significant reductions in size while retaining a high level of performance, leading to improvements in power density. A multi-domain optimization formulation is compared to optimization subroutines which individually optimize parameters pertaining the electrical and thermal domains. Additionally, the multi-domain sizing and control optimization study is compared to a similar study in which the control parameters are not optimized. The results accentuate the importance of considering multi-domain dynamics as well as control in the design process for dynamic systems.","abstract_html":"Advances in power density, energy storage technology, and thermal management are crucial to the increased electrification of vehicles, including those with high ramp rate loads such as heavy construction and military vehicles. In this thesis, a hybrid electro-thermal energy storage system is introduced which offers a power-dense electro-thermal energy storage solution for future electrified vehicles. This energy storage system includes energy-dense batteries and power-dense ultracapacitors for electrical energy storage, and PCM thermal energy storage modules and coolant loops for thermal energy storage. Multi-domain graph-based modeling techniques are used to facilitate modeling, control, and design optimization of the energy storage system. Graph-based models capture multi-domain dynamics in a unified framework. A heuristic control strategy is used, which seeks to protect the energy storage elements while maintaining references. Sizing and control parameters of the electro-thermal energy storage system are optimized using a graph-based optimization framework. Optimized designs demonstrate significant reductions in size while retaining a high level of performance, leading to improvements in power density. A multi-domain optimization formulation is compared to optimization subroutines which individually optimize parameters pertaining the electrical and thermal domains. Additionally, the multi-domain sizing and control optimization study is compared to a similar study in which the control parameters are not optimized. The results accentuate the importance of considering multi-domain dynamics as well as control in the design process for dynamic systems.","abstract_has_math":false,"creators":["Laird, Cary"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Alleyne, Andrew G"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T01:10:43Z","date_published":"2021-09-17T01:10:43Z","updated_at":"2026-07-22T22:24:50Z","subjects":["Physics-Based Modeling","Control Systems","Mobile Energy Systems","Energy Storage Systems","Design Optimization"],"languages":["en"],"rights":["Copyright 2021 Cary Laird"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110452","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Alleyne, Andrew G"]},{"key":"dc:creator","label":"Author","values":["Laird, Cary"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T01:10:43Z","2021-04-19","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Physics-Based Modeling","Control Systems","Mobile Energy Systems","Energy Storage Systems","Design Optimization"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Cary Laird"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110452"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Advances in power density, energy storage technology, and thermal management are crucial to the increased electrification of vehicles, including those with high ramp rate loads such as heavy construction and military vehicles. In this thesis, a hybrid electro-thermal energy storage system is introduced which offers a power-dense electro-thermal energy storage solution for future electrified vehicles. This energy storage system includes energy-dense batteries and power-dense ultracapacitors for electrical energy storage, and PCM thermal energy storage modules and coolant loops for thermal energy storage. Multi-domain graph-based modeling techniques are used to facilitate modeling, control, and design optimization of the energy storage system. Graph-based models capture multi-domain dynamics in a unified framework. A heuristic control strategy is used, which seeks to protect the energy storage elements while maintaining references. Sizing and control parameters of the electro-thermal energy storage system are optimized using a graph-based optimization framework. Optimized designs demonstrate significant reductions in size while retaining a high level of performance, leading to improvements in power density. A multi-domain optimization formulation is compared to optimization subroutines which individually optimize parameters pertaining the electrical and thermal domains. Additionally, the multi-domain sizing and control optimization study is compared to a similar study in which the control parameters are not optimized. The results accentuate the importance of considering multi-domain dynamics as well as control in the design process for dynamic systems.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo terms","The student, Cary Laird, accepted the attached license on 2021-04-08 at 22:01.","The student, Cary Laird, submitted this Thesis for approval on 2021-04-08 at 22:17.","This Thesis was approved for publication on 2021-04-19 at 15:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16262 on 2021-09-16 at 16:40:42","Made available in DSpace on 2021-09-17T01:10:43Z (GMT). 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This energy storage system includes energy-dense batteries and power-dense ultracapacitors for electrical energy storage, and PCM thermal energy storage modules and coolant loops for thermal energy storage. Multi-domain graph-based modeling techniques are used to facilitate modeling, control, and design optimization of the energy storage system. Graph-based models capture multi-domain dynamics in a unified framework. A heuristic control strategy is used, which seeks to protect the energy storage elements while maintaining references. Sizing and control parameters of the electro-thermal energy storage system are optimized using a graph-based optimization framework. Optimized designs demonstrate significant reductions in size while retaining a high level of performance, leading to improvements in power density. A multi-domain optimization formulation is compared to optimization subroutines which individually optimize parameters pertaining the electrical and thermal domains. Additionally, the multi-domain sizing and control optimization study is compared to a similar study in which the control parameters are not optimized. The results accentuate the importance of considering multi-domain dynamics as well as control in the design process for dynamic systems.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo terms","The student, Cary Laird, accepted the attached license on 2021-04-08 at 22:01.","The student, Cary Laird, submitted this Thesis for approval on 2021-04-08 at 22:17.","This Thesis was approved for publication on 2021-04-19 at 15:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16262 on 2021-09-16 at 16:40:42","Made available in DSpace on 2021-09-17T01:10:43Z (GMT). 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