دورية أكاديمية
Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
| العنوان: | Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation |
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| المؤلفون: | Zhu, Jiangong, Wang, Yixiu, Huang, Yuan, Bhushan Gopaluni, R., Cao, Yankai, Heere, Michael, Mühlbauer, Martin J., Mereacre, Liuda, Dai, Haifeng, Liu, Xinhua, Senyshyn, Anatoliy, Wei, Xuezhe, Knapp, Michael, Ehrenberg, Helmut |
| المصدر: | Nature Communications, 13 (1), Art.Nr. 2261 ; ISSN: 2041-1723 |
| بيانات النشر: | Nature Research |
| سنة النشر: | 2022 |
| المجموعة: | KITopen (Karlsruhe Institute of Technologie) |
| مصطلحات موضوعية: | ddc:600, Technology, info:eu-repo/classification/ddc/600 |
| الوصف: | Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion batteries. In particular, exploiting the relaxation voltage curve features could enable battery capacity estimation without additional cycling information. Here, we report the study of three datasets comprising 130 commercial lithium-ion cells cycled under various conditions to evaluate the capacity estimation approach. One dataset is collected for model building from batteries with LiNi$_{0.86}$Co$_{0.11}$Al$_{0.03}$O$_{2}$-based positive electrodes. The other two datasets, used for validation, are obtained from batteries with LiNi$_{0.83}$Co$_{0.11}$Mn$_{0.07}$O$_{2}$-based positive electrodes and batteries with the blend of Li(NiCoMn)O$_{2}$ - Li(NiCoAl)O$_{2}$ positive electrodes. Base models that use machine learning methods are employed to estimate the battery capacity using features derived from the relaxation voltage profiles. The best model achieves a root-mean-square error of 1.1% for the dataset used for the model building. A transfer learning model is then developed by adding a featured linear transformation to the base model. This extended model achieves a root-mean-square error of less than 1.7% on the datasets used for the model validation, indicating the successful applicability of the capacity estimation approach utilizing cell voltage relaxation. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| ردمك: | 978-1-00-014892-3 1-00-014892-0 |
| العلاقة: | info:eu-repo/semantics/altIdentifier/wos/000788592600010; info:eu-repo/semantics/altIdentifier/issn/2041-1723; https://publikationen.bibliothek.kit.edu/1000148920Test; https://publikationen.bibliothek.kit.edu/1000148920/149059303Test; https://doi.org/10.5445/IR/1000148920Test |
| DOI: | 10.5445/IR/1000148920 |
| الإتاحة: | https://doi.org/10.5445/IR/1000148920Test https://doi.org/10.1038/s41467-022-29837-wTest https://publikationen.bibliothek.kit.edu/1000148920Test https://publikationen.bibliothek.kit.edu/1000148920/149059303Test |
| حقوق: | https://creativecommons.org/licenses/by/4.0/deed.deTest ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.40FE7CA6 |
| قاعدة البيانات: | BASE |
| ردمك: | 9781000148923 1000148920 |
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| DOI: | 10.5445/IR/1000148920 |