Dataset for assessing the impact of first-life lithium-ion battery degradation on second-life performance

This article outlines the objective, experimental design, and methodology used to evaluate the impact of first-life degradation on the second-life performance of lithium-ion batteries. To achieve this, 18 new cylindrical cells were subject to continuous electrical cycling at various charge-discharge rates until they reached 80% State of Health (SoH). The ageing process was carried out at a constant temperature of 25 °C. Reference Performance Tests (RPTs) using 1C and C/10 charge-discharge cycles at 25 °C were conducted on new cells and repeated at each ageing stage to quantify the SoH based on the level of retained capacity. In this experiment, ageing the cells to 80% SoH is considered their first-life degradation phase. Once the cells reached 80% SoH, they were further cycled under a similar duty cycle at 25 °C to simulate second-life usage. After each duty cycle, RPTs were again performed using the representative second-life charge-discharge parameters to monitor the evolution of SoH. The collected data was analysed to identify the degradation modes (DMs) of the cells at various SoH levels during their first life. Second-life data was used to examine how cells with similar first-life SoH and degradation modes performed during their second life. This dataset serves as a valuable resource for predicting battery lifespan based on charge and discharge rates and for developing automated battery grading systems that utilise first-life SoH and DM information. A complete description of the experimental method is discussed in detail within the associated research article [1].

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Publication Details

Journal
Data in Brief
Published
2025-10-28
DOI
https://doi.org/10.1016/j.dib.2025.112208
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.68
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article

Dataset for assessing the impact of first-life lithium-ion battery degradation on second-life performance

Muhammad Aman Sheikh, Sadia Tasnim Mowri, James Marco, Anup Barai et al.
1 citations
Data in Brief
Advanced Battery Technologies Research
0.68
article

Dataset for assessing the impact of first-life lithium-ion battery degradation on second-life performance

Muhammad Aman Sheikh, Sadia Tasnim Mowri, James Marco, Anup Barai, Sangamitra Mohorana
article en
1 citations

Abstract

This article outlines the objective, experimental design, and methodology used to evaluate the impact of first-life degradation on the second-life performance of lithium-ion batteries. To achieve this, 18 new cylindrical cells were subject to continuous electrical cycling at various charge-discharge rates until they reached 80% State of Health (SoH). The ageing process was carried out at a constant temperature of 25 °C. Reference Performance Tests (RPTs) using 1C and C/10 charge-discharge cycles at 25 °C were conducted on new cells and repeated at each ageing stage to quantify the SoH based on the level of retained capacity. In this experiment, ageing the cells to 80% SoH is considered their first-life degradation phase. Once the cells reached 80% SoH, they were further cycled under a similar duty cycle at 25 °C to simulate second-life usage. After each duty cycle, RPTs were again performed using the representative second-life charge-discharge parameters to monitor the evolution of SoH. The collected data was analysed to identify the degradation modes (DMs) of the cells at various SoH levels during their first life. Second-life data was used to examine how cells with similar first-life SoH and degradation modes performed during their second life. This dataset serves as a valuable resource for predicting battery lifespan based on charge and discharge rates and for developing automated battery grading systems that utilise first-life SoH and DM information. A complete description of the experimental method is discussed in detail within the associated research article [1].

Data in BriefVol. 63
National Institute of Technology Warangal (IN), University of Warwick (GB), University of Engineering and Technology Peshawar (PK)
Openalex Percentile: Top 24%
Advanced Battery Technologies Research
0.68
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Dataset for assessing the impact of first-life lithium-ion battery degradation on second-life performance — Muhammad Aman Sheikh, Sadia Tasnim Mowri, et al. · Data in Brief (2025) | TGRS Research Map | TGRS