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iMOE: prediction of second-life battery degradation trajectory using interpretable mixture of experts

Abstract Retired electric vehicle batteries offer immense potential to support energy infrastructure stability in underdeveloped regions through second-life use, but uncertainties in battery degradation behaviors pose major safety concerns. This work proposes an interpretable mixture of experts (iMO...

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Autors principals: Xinghao Huang, Shengyu Tao, Chen Liang, Yining Tang, Jiawei Chen, Junzhe Shi, Yuqi Li, Bizhong Xia, Guangmin Zhou, Xuan Zhang
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2026-02-01
Col·lecció:Nature Communications
Accés en línia:https://doi.org/10.1038/s41467-026-69369-1
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