A novel lithium-ion battery capacity prediction framework based on SVMD-AO-DELM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02607-x.pdf
Reference39 articles.
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2. Yao, L., Fang, Z.P., Xiao, Y.Q., Hou, J.J., Fu, Z.J.: An intelligent fault diagnosis method for lithium battery systems based on grid search support vector machine. Energy 214, 11 (2021). https://doi.org/10.1016/j.energy.2020.118866
3. Hu, X.S., Feng, F., Liu, K.L., Zhang, L., Xie, J.L., Liu, B.: State estimation for advanced battery management: key challenges and future trends. Renew. Sust. Energ. Rev. 114, 13 (2019). https://doi.org/10.1016/j.rser.2019.109334
4. Wang, S.L., Jin, S.Y., Bai, D.K., Fan, Y.C., Shi, H.T., Fernandez, C.: A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries. Energy Rep. 7, 5562–5574 (2021). https://doi.org/10.1016/j.egyr.2021.08.182
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