Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on Empirical Mode Decomposition and Deep Neural Networks
The prediction of the remaining useful life (RUL) of lithium-ion batteries (LIBs) is vital for the battery management system used in electric vehicles. We can avoid unnecessary losses if we can accurately predict the RUL of batteries and replace batteries on time. This study proposes a method for pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9019646/ |