A method based on improved ant lion optimization and support vector regression for remaining useful life estimation of lithium‐ion batteries
Abstract Remaining useful life (RUL) prediction of lithium‐ion batteries (LIBs) plays a very important role in the prognostics and health management (PHM). Accurately predicting RUL of batteries can maintain and replace the batteries in advance to guarantee the safety and stability of the energy sto...
| Κύριοι συγγραφείς: | , , , , , , |
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
Wiley
2019-12-01
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| Σειρά: | Energy Science & Engineering |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1002/ese3.460 |