A Reduced-Order Model of Lithium–Sulfur Battery Discharge
This paper examines the problem of modeling lithium–sulfur (Li-S) battery discharge dynamics. The importance of this problem stems from the attractive specific energy levels achievable by Li-S batteries, which can be particularly appealing for applications such as aviation electrification. Previous...
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MDPI AG
2025-01-01
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| Online Access: | https://www.mdpi.com/2313-0105/11/1/15 |
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| author | Noushin Haddad Hosam K. Fathy |
| author_facet | Noushin Haddad Hosam K. Fathy |
| author_sort | Noushin Haddad |
| collection | DOAJ |
| description | This paper examines the problem of modeling lithium–sulfur (Li-S) battery discharge dynamics. The importance of this problem stems from the attractive specific energy levels achievable by Li-S batteries, which can be particularly appealing for applications such as aviation electrification. Previous research presents different Li-S battery models, including “zero-dimensional” models that neglect diffusion while using the laws of electrochemistry to represent reduction–oxidation (redox) rates. Zero-dimensional models typically succeed in capturing key features of Li-S battery discharge, including the high plateau, low plateau, and dip point visible in the discharge curves of certain Li-S battery chemistries. However, these models’ use of one state variable to represent the mass of each active species tends to furnish high-order models, with many state variables. This increases the computational complexity of model-based estimation and optimal control. The main contribution of this paper is to develop low-order state-space model of Li-S battery discharge. Specifically, the paper starts with a seventh-order zero-dimensional model of Li-S discharge dynamics, analyzes its discharge behavior, constructs phenomenological second- and third-order models capable of replicating this behavior, and parameterizes these models. The proposed models succeed in capturing battery discharge behavior accurately over a wide range of discharge rates. To the best of our knowledge, these are two of the simplest published models capable of doing so. |
| format | Article |
| id | doaj-art-728493d26a914c9985c60599795fa221 |
| institution | Kabale University |
| issn | 2313-0105 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj-art-728493d26a914c9985c60599795fa2212025-01-24T13:22:25ZengMDPI AGBatteries2313-01052025-01-011111510.3390/batteries11010015A Reduced-Order Model of Lithium–Sulfur Battery DischargeNoushin Haddad0Hosam K. Fathy1Mechanical Engineering Department, The University of Maryland, College Park, MD 20742, USAMechanical Engineering Department, The University of Maryland, College Park, MD 20742, USAThis paper examines the problem of modeling lithium–sulfur (Li-S) battery discharge dynamics. The importance of this problem stems from the attractive specific energy levels achievable by Li-S batteries, which can be particularly appealing for applications such as aviation electrification. Previous research presents different Li-S battery models, including “zero-dimensional” models that neglect diffusion while using the laws of electrochemistry to represent reduction–oxidation (redox) rates. Zero-dimensional models typically succeed in capturing key features of Li-S battery discharge, including the high plateau, low plateau, and dip point visible in the discharge curves of certain Li-S battery chemistries. However, these models’ use of one state variable to represent the mass of each active species tends to furnish high-order models, with many state variables. This increases the computational complexity of model-based estimation and optimal control. The main contribution of this paper is to develop low-order state-space model of Li-S battery discharge. Specifically, the paper starts with a seventh-order zero-dimensional model of Li-S discharge dynamics, analyzes its discharge behavior, constructs phenomenological second- and third-order models capable of replicating this behavior, and parameterizes these models. The proposed models succeed in capturing battery discharge behavior accurately over a wide range of discharge rates. To the best of our knowledge, these are two of the simplest published models capable of doing so.https://www.mdpi.com/2313-0105/11/1/15lithium–sulfur batteriesdata-driven modelingdischarge dynamics |
| spellingShingle | Noushin Haddad Hosam K. Fathy A Reduced-Order Model of Lithium–Sulfur Battery Discharge Batteries lithium–sulfur batteries data-driven modeling discharge dynamics |
| title | A Reduced-Order Model of Lithium–Sulfur Battery Discharge |
| title_full | A Reduced-Order Model of Lithium–Sulfur Battery Discharge |
| title_fullStr | A Reduced-Order Model of Lithium–Sulfur Battery Discharge |
| title_full_unstemmed | A Reduced-Order Model of Lithium–Sulfur Battery Discharge |
| title_short | A Reduced-Order Model of Lithium–Sulfur Battery Discharge |
| title_sort | reduced order model of lithium sulfur battery discharge |
| topic | lithium–sulfur batteries data-driven modeling discharge dynamics |
| url | https://www.mdpi.com/2313-0105/11/1/15 |
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