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This paper examines the problem of estimating the parameters of aLithium-Sulfur (LiS) battery from experimental cycling data. LiS batteries areattractive compared to traditional Lithium-Ion batteries, thanks largely totheir potential to provide higher energy densities. The literature presents anumber of different LiS battery models, with different fidelities andcomplexities. This includes both higher-fidelity diffusion-reaction models aswell as "zero-dimensional" models that neglect diffusion dynamics whilecapturing the physics of the underlying reduction-oxidation reactions. Thepaper focuses on zero-dimensional LiS battery models, and develops four suchmodels from the literature, reflecting different choices of which redoxreactions to model. There is a growing need for using experimental cyclingdatasets to both parameterize these models and compare their fidelities. Toaddress this need, we fabricated LiS coin cells and performed charge/dischargecycling tests on these cells. In parallel, we analyzed the sensitivity ofsimulated LiS battery charge/discharge characteristics to underlying modelparameters. Using this sensitivity analysis, we selected a subset of modelparameters for identification, and estimated these parameters for all four LiSbattery models from cycling data, thereby arriving at a consistent experimentalcomparison and assessment of these models' respective fidelities.

Parameter Identification and Sensitivity Analysis for Zero-dimensional Physics-based Lithium-Sulfur Battery Models