High-accuracy dynamic model of high-temperature sodium-sulfur stationary battery

The increasing demand for stationary energy storage has put alternative battery chemistries in the spotlight. Sodium-based technologies appear to be a cost-effective and sustainable option, potentially competing with lithium-ion batteries. However, the long-term reliability, essential for stationary storage services, requires an understanding of performance degradation under realistic operating conditions. In this work, we present a physics-based dynamic equivalent circuit model for Sodium-Sulfur batteries, developed to capture the complexity of system behavior and examine the processes contributing to battery aging. In this way, existing battery models completely overlook the dynamic behavior of sodium‑sulfur batteries. The presented model is validated against real measurements taken at the HUN-REN Centre for Energy Research, where a Sodium-Sulfur battery was recently commissioned. By comparing the performance of the model across various power profiles, its ability to capture the complexity of the entire system is evaluated. Overall simulation results are within ± 1% for most scenarios. The presented work was developed under the 2021–2.1.1-EK funding scheme. • Evaluation of commonly used literature models • Novel method for modeling HT Sodium-Sulfur battery • Complete model parametrization on system level • Validation with real life energy storage system measurements

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Publication Details

Journal
Applied Energy
Published
2026-01-16
DOI
https://doi.org/10.1016/j.apenergy.2026.127414
Primary Topic
Thermal Expansion and Ionic Conductivity
Type
article
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article

High-accuracy dynamic model of high-temperature sodium-sulfur stationary battery

Milán Attila Sőrés, B. Hartmann
Applied Energy
Thermal Expansion and Ionic Conductivity
article

High-accuracy dynamic model of high-temperature sodium-sulfur stationary battery

Milán Attila Sőrés, B. Hartmann
article en

Abstract

The increasing demand for stationary energy storage has put alternative battery chemistries in the spotlight. Sodium-based technologies appear to be a cost-effective and sustainable option, potentially competing with lithium-ion batteries. However, the long-term reliability, essential for stationary storage services, requires an understanding of performance degradation under realistic operating conditions. In this work, we present a physics-based dynamic equivalent circuit model for Sodium-Sulfur batteries, developed to capture the complexity of system behavior and examine the processes contributing to battery aging. In this way, existing battery models completely overlook the dynamic behavior of sodium‑sulfur batteries. The presented model is validated against real measurements taken at the HUN-REN Centre for Energy Research, where a Sodium-Sulfur battery was recently commissioned. By comparing the performance of the model across various power profiles, its ability to capture the complexity of the entire system is evaluated. Overall simulation results are within ± 1% for most scenarios. The presented work was developed under the 2021–2.1.1-EK funding scheme. • Evaluation of commonly used literature models • Novel method for modeling HT Sodium-Sulfur battery • Complete model parametrization on system level • Validation with real life energy storage system measurements

Applied EnergyVol. 408
HUN-REN Centre for Energy Research (HU)
Responsible consumption and production
Openalex Percentile: Top 86%
Thermal Expansion and Ionic Conductivity
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High-accuracy dynamic model of high-temperature sodium-sulfur stationary battery — Milán Attila Sőrés, B. Hartmann · Applied Energy (2026) | TGRS Research Map | TGRS