Semi-supervised battery state of health estimation for field applications
Battery electric vehicles are exposed to highly diverse operating conditions and driving behaviors that strongly influence degradation pathways, yet these real-world complexities are only partially captured in laboratory aging tests. This study investigates a semi-supervised learning approach for ro...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2025-12-01
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| Серии: | Energy and AI |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2666546825001077 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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