Lithium-ion batteries SoC estimation using a robust non-linear Lipschitz observer
Author:
Funder
the Science and Technology Research Program of Chongqing Municipal Education Commission
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00242-0.pdf
Reference27 articles.
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3. Chen M, Han F, Shi L, Feng Y, Xue C, Gao W, Jinzheng Xu (2022) Sliding Mode Observer for State-of-Charge Estimation Using Hysteresis-Based Li-Ion Battery Model. Energies 15(7):2658
4. Cui Z, Wang L, Li Q, Wang K (2022a) A comprehensive review on the state of charge estimation for lithium-ion battery based on neural network. Int J Energy Res 46(5):5423–5440
5. Cui Z, Kang Le, Li L, Wang L, Wang K (2022b) A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures. Renewable Energy 198:1328–1340
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