An indirect remaining useful life prediction of lithium-ion batteries based on a NARX dynamic neural network
With increasingly serious energy shortages and environmental pollution, electric vehicles (EVs) have drawn widespread attention in recent years. The lithium-ion battery is widely used in the field of EVs owing to its superior energy density, life cycle, low self-discharge rate, and maintenance of me...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Chinês |
| Опубліковано: |
Science Press
2022-03-01
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| Серія: | 工程科学学报 |
| Предмети: | |
| Онлайн доступ: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2020.10.22.005 |
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