LAPSE:2023.23262
Published Article
LAPSE:2023.23262
Experimental Investigation of an Electrical Model for Sodium−Nickel Chloride Batteries
Roberto Di Rienzo, Gianluca Simonte, Ian Biagioni, Federico Baronti, Roberto Roncella, Roberto Saletti
March 27, 2023
Abstract
This work describes the experimental characterization of a commercial sodium−nickel chloride battery and the investigation on a state-of-the-art model that represents the battery behavior. This battery technology is considered very promising but it has not fully been exploited yet. Besides improvements on the technological side, accurate models of the battery should be found to allow the realization of Battery Management Systems with advanced functions. This achievement may extend the battery exploitation to its best. The paper describes the experimental set-up and the model parameter identification process, and discusses the identified parameters and the model validation tests. The comparison between model simulations and experiments shows that the model is rather accurate for low-current rates, but it loses accuracy and it is not able to reproduce with fidelity the battery behavior at low states of charge or at high current rates. Further research efforts and refinements of the model are necessary to make available a sodium−nickel chloride battery model accurate in any operating condition.
Keywords
battery model, sodium–nickel chloride battery, ZEBRA battery
Suggested Citation
Di Rienzo R, Simonte G, Biagioni I, Baronti F, Roncella R, Saletti R. Experimental Investigation of an Electrical Model for Sodium−Nickel Chloride Batteries. (2023). LAPSE:2023.23262
Author Affiliations
Di Rienzo R: Dipartimento Ingegneria dell’Informazione, University of Pisa, Via Caruso 16, 56122 Pisa, Italy
Simonte G: Dipartimento Ingegneria dell’Informazione, University of Pisa, Via Caruso 16, 56122 Pisa, Italy
Biagioni I: Dipartimento Ingegneria dell’Informazione, University of Pisa, Via Caruso 16, 56122 Pisa, Italy
Baronti F: Dipartimento Ingegneria dell’Informazione, University of Pisa, Via Caruso 16, 56122 Pisa, Italy
Roncella R: Dipartimento Ingegneria dell’Informazione, University of Pisa, Via Caruso 16, 56122 Pisa, Italy [ORCID]
Saletti R: Dipartimento Ingegneria dell’Informazione, University of Pisa, Via Caruso 16, 56122 Pisa, Italy [ORCID]
Journal Name
Energies
Volume
13
Issue
10
Article Number
E2652
Year
2020
Publication Date
2020-05-22
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13102652, Publication Type: Journal Article
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LAPSE:2023.23262
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https://doi.org/10.3390/en13102652
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Mar 27, 2023
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CC BY 4.0
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Mar 27, 2023
 
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