An ageing study of twenty 18650 lithium-ion Graphite/LFP cells in first and second life use.

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2025-03-06 DOI:10.1038/s41597-025-04712-7

William Wheeler, Yann Bultel, Pascal Venet, Ali Sari

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Abstract

The dataset gives a comprehensive data collection focusing on the ageing of twenty 18650 Graphite/LFP 1.1 Ah commercial cells in first and second life. The ageing from a pristine state up to 40% of capacity loss is uncommon due to the extensive testing time required. Therefore, this new data collection provides insights on long-term ageing of lithium-ion batteries. The initial aim of the study was to comprehend the ageing in first and second-life applications, with a special focus on the sudden acceleration of capacity loss that can occur after a long-term use. The ageing experiment was designed to assess the impact of various test conditions: electric vehicle use, high current charge and discharge, full or partial discharge and a reduced operating voltage window. The cells were characterised every 100 cycles to measure the remaining capacity and the pseudo-open-circuit-voltage. This dataset can help the research community in studying second-life applications or any other study on long-term ageing of Graphite/LFP batteries: new diagnosis and prognosis techniques, AI, battery modelling, and more.

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来源期刊

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.