TFGNN: Remaining capacity prediction of lithium-ion batteries based on transformer Fourier graph neural network with exogenous-endogenous series

Measurement 2026

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Authors: Rucong Lai, Zikang Tang, Qifeng Yu, Jindong Tian, Wanglin Liu, Hui Li, Yong Tian, Jie Wang

DOI: 10.1016/j.measurement.2026.120418

Cited by: 1

References: 39

Fields of Study & Subjects

Advanced Battery Technologies Research Advanced Battery Materials and Technologies Advancements in Battery Materials

References 39