Treffer: State of health estimation of lithium-ion batteries based on the fusion of aging feature extraction and SSA-ELM machine learning algorithms
Title:
State of health estimation of lithium-ion batteries based on the fusion of aging feature extraction and SSA-ELM machine learning algorithms
Authors:
Fan, YiweiAff1, Aff2, Yang, Haonan, Ye, CongjinAff2, IDs11581025064543_cor1, Yang, Wen, Panchal, Satyam, Fraser, Roydon, Fowler, Michael, Dong, Huifang
Source:
Ionics: International Journal of Ionics – The Science and Technology of Ionic Motion. 31(8):7897-7915
Database:
Springer Nature Journals