A double broad learning approach based on variational modal decomposition for Lithium-Ion battery prognostics
Predicting the remaining life of lithium-ion battery equipment is becoming increasingly important as enterprises transition to smart manufacturing. Accurate prediction results can be used to effectively determine the battery's health status and improve operational safety. However, during the de...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061523008219 |
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