Design a J-Type Air-Based Battery Thermal Management System Through Surrogate-Based Optimization

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dc.contributor.authorLiu, Yuanzhi
dc.contributor.authorZhang, Jie
dc.contributor.utdAuthorLiu, Yuanzhi
dc.contributor.utdAuthorZhang, Jie
dc.date.accessioned2020-03-24T15:28:48Z
dc.date.available2020-03-24T15:28:48Z
dc.date.issued2019-06-11
dc.descriptionDue to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).
dc.description.abstractBattery thermal management system is of great importance to the performance and safety of electric vehicles. The conventional U- and Z-type air-based structures may fail to meet the thermal requirements under changing working conditions. This paper proposes a novel J-type air-based battery thermal management system by integrating the U-type and Z-type structures. A comparative parametric study of key design variables and priori optimized structures is first conducted with a newly developed battery electro-thermal model. Based on the parametric analyses, the grouped-channel optimizations are performed using surrogate-based optimization. Results show that there are 35.3%, 46.6%, and 31.18% reduction in temperature rise for U-, Z-, and J-type, respectively. The pros and cons of the J-type structure are further explored by comparing with the optimal U- and Z-type structures. A further J-type optimization regarding the manifold configuration is also conducted to show that the optimal settings of the air-based cooling system vary across working conditions, and the J-type structure is able to be adaptively controlled to satisfy the cooling requirement. Corresponding experiments are also conducted to validate the modeling and optimization results. © 2019 Elsevier Ltd
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationLiu, Y., and J. Zhang. 2019. "Design a J-type air-based battery thermal management system through surrogate-based optimization." Applied Energy 252: art. 113426, doi: 10.1016/j.apenergy.2019.113426
dc.identifier.issn0306-2619
dc.identifier.urihttp://dx.doi.org/10.1016/j.apenergy.2019.113426
dc.identifier.urihttps://hdl.handle.net/10735.1/7452
dc.identifier.volume252
dc.language.isoen
dc.publisherElsevier Ltd
dc.rights©2019 Elsevier Ltd. All Rights Reserved.
dc.source.journalApplied Energy
dc.subjectSurrogate-based optimization
dc.subjectElectric vehicles
dc.subjectBattery management systems
dc.titleDesign a J-Type Air-Based Battery Thermal Management System Through Surrogate-Based Optimization
dc.type.genrearticle

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