Electrochemical Engineering Models of Electroanalytical Tools for Advanced Batteries

dc.contributor.advisorSchwartz, Daniel T
dc.contributor.advisorSubramanian, Venkat R
dc.contributor.authorTeo, Qiu Ru Linnette
dc.date.accessioned2022-04-19T23:43:28Z
dc.date.available2022-04-19T23:43:28Z
dc.date.issued2022-04-19
dc.date.submitted2022
dc.descriptionThesis (Ph.D.)--University of Washington, 2022
dc.description.abstractBattery design and usage can be optimized through the use of electrochemical engineering models that detail the physicochemical processes occurring in a battery. While lithium-ion battery chemistry and models are well-established, lithium sulfur is still an active area of development and is a promising next-generation chemistry. The first part of this dissertation covers the ongoing challenges of continuum modeling of lithium sulfur, with efforts to accelerate model development using electroanalytical techniques – galvanostatic intermittent titration technique and electrochemical impedance spectroscopy (EIS). We explore the implications on thermo-kinetic parameters by modeling the thermodynamic equilibrium before adding further complexities of kinetics and transport. The second part of this work aims to improve diagnostics, sensing, and control of lithium-ion batteries by modeling a novel technique, dynamic EIS.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherTeo_washington_0250E_23906.pdf
dc.identifier.urihttp://hdl.handle.net/1773/48456
dc.language.isoen_US
dc.rightsCC BY-NC-ND
dc.subjectBatteries
dc.subjectEIS
dc.subjectGITT
dc.subjectLithium sulfur
dc.subjectLithium-ion
dc.subjectPhysics-based model
dc.subjectEnergy
dc.subject.otherChemical engineering
dc.titleElectrochemical Engineering Models of Electroanalytical Tools for Advanced Batteries
dc.typeThesis

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