Dual Digital Twin: Cloud–edge collaboration with Lyapunov-based incremental learning in EV batteries
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DOI: 10.1016/j.apenergy.2023.122237
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- Xie, Jiahang & Yang, Rufan & Gooi, Hoay Beng & Nguyen, Hung Dinh, 2023. "PID-based CNN-LSTM for accuracy-boosted virtual sensor in battery thermal management system," Applied Energy, Elsevier, vol. 331(C).
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- Dapai Shi & Jingyuan Zhao & Chika Eze & Zhenghong Wang & Junbin Wang & Yubo Lian & Andrew F. Burke, 2023. "Cloud-Based Artificial Intelligence Framework for Battery Management System," Energies, MDPI, vol. 16(11), pages 1-21, May.
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- Magnus Værbak & Joy Dalmacio Billanes & Bo Nørregaard Jørgensen & Zheng Ma, 2024. "A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids," Energies, MDPI, vol. 17(11), pages 1-36, May.
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Keywords
Online adaptive model reduction; Incremental learning; Lyapunov stability; Battery digital twin; Cloud–edge collaboration; Artificial intelligence of things;All these keywords.
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