Electrochemical Engineering Models of Electroanalytical Tools for Advanced Batteries
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Teo, Qiu Ru Linnette
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Abstract
Battery 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.
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Thesis (Ph.D.)--University of Washington, 2022
