Remaining useful life prediction of li-ion batteries based on an improved transformer model
Precise Remaining Useful Life (RUL) prediction of Li-ion battery is crucial for health management and state estimation. With the rapid growth of new energy vehicles, it is a pressing need to enhance RUL prediction techniques. Under the development of artificial intelligence technology, physical meth...
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| Main Authors: | Qingsong Wang, Annuo Yu, Hao Ding, Ming Cheng, Giuseppe Buja |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2024-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10748584/ |
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