Global Sensitivity Analysis of 0-D Lithium Sulfur Electrochemical Model

This paper examines global parameter sensitivity in a zero-dimensional lithium-sulfur ( Li-S) battery model. Li-S batteries are an appealing cell chemistry due to their high theoretical energy density, abundant supply, and low cost. Due to the lack of complete understanding of the underlying working mechanisms for Li-S cells, the development of mathematical models and state estimation is still in its early stages. Model development and parameter identification are closely associated. Both are essential for developing battery management systems (BMS) in commercialized Li-S powered applications. This paper highlights the parameter identification challenges associated with Li-S models. Sensitivity analysis helps for parameter identification by revealing information about parameter relevance and interdependence. Sensitivity analysis also helps in understanding different physical ranges of parameters, and their impact on model performance/response. In this work, we examine global sensitivity analysis ( GSA). A key challenge for GSA, especially in Li-S batteries, is a lack of available information in the literature about a-priori distributions of Li-S parameters. This paper aims to elucidate this challenge by comparing GSA under different parameter distributions. Three model parameters are chosen in this analysis, and their sensitivities are compared under three different distributions. We find that, under certain distributions of parameters, relative importance of the parameters shifts. Copyright (c) 2023 The Authors.