Modeling the Effects of Pressure on Solid-State Lithium–Sulfur Batteries

Abstract All-solid-state lithium–sulfur batteries (ASLSBs) offer a superior alternative to traditional lithium-ion batteries, given their potential for higher energy densities and enhanced safety. This article explores ASLSBs under controlled stress and constant-strain scenarios, develops data-driven models that predict cell voltage given input current, and correlates observations with cell states. The empirical data collected under varying operational pressure conditions are used to perform system identification of equivalent circuit model parameters that account for variations in the externally applied force resulting from dynamic operational pressure. Cell capacity fades rapidly, but analysis reveals correlations between usable energy, cell impedance, and applied pressure. Most notable are observations of capacity recovery, which show that reduced capacity due to operations at lower pressure is reversible. This work also demonstrates that variations in battery stress over time in a constant volume provide a means to estimate the cell’s state of charge. This study highlights the crucial role of pressure in enhancing the performance of ASLSBs.

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Publication Details

Journal
ASME Letters in Dynamic Systems and Control
Published
2025-09-09
DOI
https://doi.org/10.1115/1.4069755
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Modeling the Effects of Pressure on Solid-State Lithium–Sulfur Batteries

Daiwei Wang, Timothy Cleary, Christopher D. Rahn, Hosam K. Fathy et al.
ASME Letters in Dynamic Systems and Control
Advanced Battery Technologies Research
article

Modeling the Effects of Pressure on Solid-State Lithium–Sulfur Batteries

Daiwei Wang, Timothy Cleary, Christopher D. Rahn, Hosam K. Fathy, Donghai Wang
article en

Abstract

Abstract All-solid-state lithium–sulfur batteries (ASLSBs) offer a superior alternative to traditional lithium-ion batteries, given their potential for higher energy densities and enhanced safety. This article explores ASLSBs under controlled stress and constant-strain scenarios, develops data-driven models that predict cell voltage given input current, and correlates observations with cell states. The empirical data collected under varying operational pressure conditions are used to perform system identification of equivalent circuit model parameters that account for variations in the externally applied force resulting from dynamic operational pressure. Cell capacity fades rapidly, but analysis reveals correlations between usable energy, cell impedance, and applied pressure. Most notable are observations of capacity recovery, which show that reduced capacity due to operations at lower pressure is reversible. This work also demonstrates that variations in battery stress over time in a constant volume provide a means to estimate the cell’s state of charge. This study highlights the crucial role of pressure in enhancing the performance of ASLSBs.

ASME Letters in Dynamic Systems and ControlVol. 6(1)
University of Maryland, Baltimore (US), Pennsylvania State University (US), Southern Methodist University (US), Dallas County (US), Park University (US), University of Maryland, College Park (US)
Openalex Percentile: Top 73%
Advanced Battery Technologies Research
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