Methodology for comparative assessment of battery technologies: Experimental design, modeling, performance indicators and validation with four technologies

An increasing number of applications with diverse requirements incorporate various battery technologies. Selecting the most suitable battery technology becomes a tedious task as several aspects need to be taken into account. Two of the key aspects are the battery characteristics under temperature variations and their degradation. While numerous contributions using tailored assessment methods to evaluate both aspects for a particular application exist in the literature, a general methodology for analysis is necessary to enable a quantitative comparison between different technologies. We propose in this paper a novel methodology, based on performance indicators, to quantify the potential and limitations of a battery technology for diverse applications sharing a similar operational profile. A quantification of phenomena such as the influence of high and low temperatures on the battery, or the effect of cycling and state of charge on battery aging is obtained. In pursuit of these indicators, an experimental procedure and the fitting of aging model parameters that allow their calculation are proposed. As an additional outcome of this work, a general aging model that allows comprehensive analysis of aging behavior is developed and the trade-off between experimental time and accuracy is analyzed to find an optimal experimental time between 2 and 4 months, depending on the studied battery technology. Finally, the proposed methodology is applied to four battery technologies in order to show its potential in a real case-study. • Comprehensive comparative assessment of battery technologies. • Common characterization and aging analysis for various battery technologies. • Trade-off between experimental time and accuracy. • Nine performance indicators for quantitative assessment. • Validation with four battery technologies (NiMH, Li-ion NMC, Li-ion LFP and LIC).

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Publication Details

Journal
Applied Energy
Published
2024-11-04
DOI
https://doi.org/10.1016/j.apenergy.2024.124757
Citations
7
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
1.42

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article

Methodology for comparative assessment of battery technologies: Experimental design, modeling, performance indicators and validation with four technologies

Pablo Sanchis, Alberto Berrueta, Alfredo Ursúa, Elisa Irujo
7 citations
Applied Energy
Advanced Battery Technologies Research
1.42
article

Methodology for comparative assessment of battery technologies: Experimental design, modeling, performance indicators and validation with four technologies

Pablo Sanchis, Alberto Berrueta, Alfredo Ursúa, Elisa Irujo
article en
7 citations

Abstract

An increasing number of applications with diverse requirements incorporate various battery technologies. Selecting the most suitable battery technology becomes a tedious task as several aspects need to be taken into account. Two of the key aspects are the battery characteristics under temperature variations and their degradation. While numerous contributions using tailored assessment methods to evaluate both aspects for a particular application exist in the literature, a general methodology for analysis is necessary to enable a quantitative comparison between different technologies. We propose in this paper a novel methodology, based on performance indicators, to quantify the potential and limitations of a battery technology for diverse applications sharing a similar operational profile. A quantification of phenomena such as the influence of high and low temperatures on the battery, or the effect of cycling and state of charge on battery aging is obtained. In pursuit of these indicators, an experimental procedure and the fitting of aging model parameters that allow their calculation are proposed. As an additional outcome of this work, a general aging model that allows comprehensive analysis of aging behavior is developed and the trade-off between experimental time and accuracy is analyzed to find an optimal experimental time between 2 and 4 months, depending on the studied battery technology. Finally, the proposed methodology is applied to four battery technologies in order to show its potential in a real case-study. • Comprehensive comparative assessment of battery technologies. • Common characterization and aging analysis for various battery technologies. • Trade-off between experimental time and accuracy. • Nine performance indicators for quantitative assessment. • Validation with four battery technologies (NiMH, Li-ion NMC, Li-ion LFP and LIC).

Applied EnergyVol. 378
Universidad Pública de Navarra (UPNA) (ES)
European Commission, Universidad Pública de Navarra, European Regional Development Fund, Agencia Estatal de Investigación
Affordable and clean energy
Openalex Percentile: Top 19%
Advanced Battery Technologies Research
1.42
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