Dynamic weighted federated contrastive self-supervised learning for state-of-health estimation of Lithium-ion battery with insufficient labeled samples

Lithium-ion batteries: outlook on present, future, and hybridized technologies

Taehoon Kim, Wentao Song, Dae‐Yong Son et al. · Journal of Materials Chemistry A · 2019 · 2.4K citations

Engineering, Chemical Engineering, Materials Science +14

Model-Contrastive Federated Learning

Qinbin Li, Bingsheng He, Dawn Song · 2021 · 1.4K citations

Computing, Computer Science, Computer Vision +7

State estimation for advanced battery management: Key challenges and future trends

Fei Feng, Kailong Liu, Lei Zhang et al. · Renewable and Sustainable Energy Reviews · 2019 · 830 citations

Engineering, Electrical Engineering, Systems Engineering +17

TS2Vec: Towards Universal Representation of Time Series

Zhihan Yue, Yujing Wang, Juanyong Duan et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 668 citations · Full text

Computing, Computer Science, Forecasting +13

A novel deep learning framework for state of health estimation of lithium-ion battery

Yaxiang Fan, Fei Xiao, Chaoran Li et al. · Journal of Energy Storage · 2020 · 394 citations

Computing, Computer Science, Machine Learning +14