New Approach to Assembling Used 18650 Cells by the DBSCAN Clustering Algorithm | ||
| AUT Journal of Electrical Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از 25 خرداد 1405 اصل مقاله (1.94 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2026.24892.5788 | ||
| نویسندگان | ||
| Mohamed Redha Rezoug* ؛ Laid Khettache؛ Abdeslam Benmakhlouf؛ Djalal Djarah | ||
| Department of Electrical Engineering, Faculty of Technology, Kasdi Merbah University – Ouargla 30000, Algeria | ||
| چکیده | ||
| This study presents a diagnostic and regrouping approach for used 18650 lithium-ion cells using the DBSCAN clustering algorithm. A total of 154 cells were recovered from discarded laptop batteries. After electrical testing (constant-current discharge measuring capacity, voltage, and internal resistance), 120 cells (78%) were identified as healthy and suitable for reuse. The DBSCAN algorithm (eps=0.3, min_samples=10) was applied to cluster these 120 cells based on their electrical characteristics. The algorithm successfully formed three homogeneous clusters of 40 cells each. These clusters were assembled in a 3S40P configuration (three parallel packs of 40 cells connected in series) to form a second-life battery of approximately 81 Ah capacity at 10.9 V. Comparative analysis shows that DBSCAN outperforms K-means and hierarchical clustering for this application, achieving a silhouette coefficient of 0.62 versus 0.48 for K-means. The proposed method achieves a 78% cell recovery rate, demonstrating its effectiveness for battery recycling and second-life applications. | ||
| کلیدواژهها | ||
| DBSCAN؛ Reconditioning؛ Recycling؛ lithium battery؛ 18650 cell؛ Clustering | ||
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آمار تعداد مشاهده مقاله: 170 تعداد دریافت فایل اصل مقاله: 208 |
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