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Journal Articles SoftwareX Year : 2023

DATTES: Data Analysis Tools for Tests on Energy Storage

Abstract

Experiments are essential to understand the behaviour and performance of energy storage systems. In this field, a considerable amount of experimental data is generated and data processing is a tedious task. To date, research teams working in the field of energy storage tend to focus on developing their own analysis tools rather than using existing open source software. This strategy can be detrimental to the quality and reproducibility of the research. This paper presents DATTES, a free and open source software for analysing experimental battery data. The software provides a comprehensive and customizable toolkit for extracting, analysing and visualizing experimental data. It also creates gateways to other open software and tools. In this way, DATTES enables users to get the most out of their experimental data and engage in open and reproducible science.
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Dates and versions

hal-04164735 , version 1 (18-07-2023)
hal-04164735 , version 2 (21-11-2023)

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Eduardo Redondo-Iglesias, Marwan Hassini, Pascal Venet, Serge Pelissier. DATTES: Data Analysis Tools for Tests on Energy Storage. SoftwareX, 2023, 24, pp.101584. ⟨10.1016/j.softx.2023.101584⟩. ⟨hal-04164735v2⟩
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