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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.14020 |
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| _version_ | 1866909694918918144 |
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| author | Hassini, Marwan Mintsa-Eya, Colette Redondo-Iglesias, Eduardo Venet, Pascal |
| author_facet | Hassini, Marwan Mintsa-Eya, Colette Redondo-Iglesias, Eduardo Venet, Pascal |
| contents | Understanding how batteries perform after automotive use is crucial to determining their potential for reuse. This article presents experimental results aimed at advancing knowledge of retired battery performance. Three modules extracted from electric vehicles were tested. Their performance was assessed, and the results were analyzed statistically using analysis of variance (ANOVA). The 36 retired cells exhibited a high level of performance, albeit with significant variation. On average, the cells had a 95% state of health capacity with a dispersion of 2.4%. ANOVA analysis suggests that cell performance is not correlated with their position inside the module. These results demonstrate the need to evaluate dispersion within retired batteries and to develop thermal management and balancing systems for second-life batteries. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_14020 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Influence of Cell Position on the Capacity of Retired Batteries: Experimental and Statistical Studies Hassini, Marwan Mintsa-Eya, Colette Redondo-Iglesias, Eduardo Venet, Pascal Systems and Control Understanding how batteries perform after automotive use is crucial to determining their potential for reuse. This article presents experimental results aimed at advancing knowledge of retired battery performance. Three modules extracted from electric vehicles were tested. Their performance was assessed, and the results were analyzed statistically using analysis of variance (ANOVA). The 36 retired cells exhibited a high level of performance, albeit with significant variation. On average, the cells had a 95% state of health capacity with a dispersion of 2.4%. ANOVA analysis suggests that cell performance is not correlated with their position inside the module. These results demonstrate the need to evaluate dispersion within retired batteries and to develop thermal management and balancing systems for second-life batteries. |
| title | Influence of Cell Position on the Capacity of Retired Batteries: Experimental and Statistical Studies |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2507.14020 |