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| 001 | 1024565 | ||
| 005 | 20250203103131.0 | ||
| 024 | 7 | _ | |a 10.1016/j.etran.2023.100255 |2 doi |
| 024 | 7 | _ | |a 10.34734/FZJ-2024-02241 |2 datacite_doi |
| 024 | 7 | _ | |a WOS:001014614600001 |2 WOS |
| 037 | _ | _ | |a FZJ-2024-02241 |
| 082 | _ | _ | |a 400 |
| 100 | 1 | _ | |a Yang, Sijia |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Fast screening of lithium-ion batteries for second use with pack-level testing and machine learning |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2023 |b Elsevier |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1712751111_24403 |2 PUB:(DE-HGF) |
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| 520 | _ | _ | |a Fast and accurate screening of retired lithium-ion batteries is critical to an efficient and reliable second use with improved performance consistency, contributing to the sustainability of renewable energy sources. However, time-consuming testing, representative criteria extraction, and large module-to-module inconsistencies at the end of first life all pose great challenges for fast screening. This paper proposes a fast screening approach with pack-level testing and machine learning to evaluate and classify module-level aging, where disassembly of the battery pack and individual testing of modules are not required. Dynamic characteristic-based criteria are designed to extract the comprehensive performance of the retired modules, making the approach applicable for battery packs with module state-of-charge inconsistencies up to 30%. Adaptive affinity propagation clustering is utilized to classify the modules and further accelerate the screening progress. The proposed approach is implemented and validated by conducting pack-level and module-level experiments with a retired battery pack consisting of 95 modules connected in series. The screening time is reduced by at least 50% compared with approaches that require module-level testing. Reasonable static performance consistency and better dynamic performance consistency, as well as higher screening stability, are achieved, with average overall performance improvements of 18.94%, 4.83% and 34.41% compared with the three benchmarks, respectively. Its adaptability to a larger current rate shows promise for large-scale applications in second-use screening. |
| 536 | _ | _ | |a 1223 - Batteries in Application (POF4-122) |0 G:(DE-HGF)POF4-1223 |c POF4-122 |f POF IV |x 0 |
| 536 | _ | _ | |a BMBF 03XP0334 - Model2Life- Modellbasierte Systemauslegung für 2nd-Life-Nutzungsszenarien von mobilen Batteriesystemen (03XP0334) |0 G:(BMBF)03XP0334 |c 03XP0334 |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Zhang, Caiping |0 P:(DE-HGF)0 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Jiang, Jiuchun |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Zhang, Weige |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Chen, Haoze |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Jiang, Yan |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Sauer, Dirk Uwe |0 P:(DE-Juel1)172625 |b 6 |
| 700 | 1 | _ | |a Li, Weihan |0 0000-0002-2916-3968 |b 7 |e Corresponding author |
| 773 | _ | _ | |a 10.1016/j.etran.2023.100255 |g Vol. 17, p. 100255 - |0 PERI:(DE-600)2981331-1 |p 100255 - |t eTransportation |v 17 |y 2023 |x 2590-1168 |
| 856 | 4 | _ | |y Published on 2023-05-14. Available in OpenAccess from 2024-05-14. |u https://juser.fz-juelich.de/record/1024565/files/Manuscript-proof-clean.pdf |
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| 856 | 4 | _ | |y Published on 2023-05-14. Available in OpenAccess from 2024-05-14. |x icon-1440 |u https://juser.fz-juelich.de/record/1024565/files/Manuscript-proof-clean.jpg?subformat=icon-1440 |
| 856 | 4 | _ | |y Published on 2023-05-14. Available in OpenAccess from 2024-05-14. |x icon-180 |u https://juser.fz-juelich.de/record/1024565/files/Manuscript-proof-clean.jpg?subformat=icon-180 |
| 856 | 4 | _ | |y Published on 2023-05-14. Available in OpenAccess from 2024-05-14. |x icon-640 |u https://juser.fz-juelich.de/record/1024565/files/Manuscript-proof-clean.jpg?subformat=icon-640 |
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