Improved chaotic particle butterfly optimization-cubature Kalman filtering for accurate state of charge estimation of lithium-ion batteries adaptive to different temperature conditions
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11581-024-05777-x.pdf
Reference45 articles.
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3. Zeng Y, Li Y, Yang T (2023) State of charge estimation for lithium-ion battery based on unscented Kalman filter and long short-term memory neural network. Batteries-Basel 9(7):1–19
4. Peng SM et al (2023) State-of-charge estimation of lithium-ion batteries based on dual-coefficient tracking improved square-root unscented Kalman filter. Batter-Basel 9(8):1–20
5. Ou WQ et al (2023) Multistate joint estimation of ultracapacitor based on trans-scale dual extended Kalman filter. Control Eng Pract 137:1–11
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