QTNano - Overpotential Analysis of Na-ion Batteries Through Physics-Based Electrochemical Modeling - J. Energy Storage -EST_124312-2026
Published: 1 September 2026| Version 1 | DOI: 10.17632/n4b5dgmbss.1
Contributors:
Adivaiah Bushnagar, Mayur P Bonkle, Luis Gustavo Dias, Juarez L F Da SilvaDescription
In this research mainly focus two areas; the overpotential behavior of a hard-carbon | NaPF6(EC:PC) | Na3V2(PO4)2F3 sodium-ion full cell using DFN, SPMe, and SPM models. We compared simulated discharge-voltage curves with literature data at 1-12 A/m2, then use DFN to decompose the voltage loss into solid-phase concentration, electrolyte concentration, charge-transfer, and ohmic overpotentials. We have analysed the effects of C-rate, cathode thickness, and cathode porosity. Numerical simulations of discharge voltage profiles were performed in PyBaMM (Python Battery Mathematical Modeling) and we have adapted the Chayambuka2022 sodium-ion parameter set in was used in this research.
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Institutions
- Universidade de São PauloSão Paulo, São Paulo
Categories
Energy Storage, Research Article
Funders
- Fundação de Amparo à Pesquisa do Estado de São PauloSão Paulo, São PauloGrant ID: 2017/11631-2 and 2018/21401-7