Enhanced lithium–ion battery state of charge estimation in electric vehicles using extended Kalman filter and deep neural network-Reference-Cited by-同舟云学术

Enhanced lithium–ion battery state of charge estimation in electric vehicles using extended Kalman filter and deep neural network

Published:2024-02-21 Issue:8 Volume:12 Page:2864-2871
ISSN:2195-268X
Container-title:International Journal of Dynamics and Control
language:en
Short-container-title:Int. J. Dynam. Control

Author:

Djaballah Younes^ORCID,Negadi Karim,Boudiaf Mohamed

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40435-024-01388-6.pdf

Reference45 articles.

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3. Zhang J, Wang P, Liu Y et al (2021) Variable-order equivalent circuit modeling and state of charge estimation of lithium-ion battery based on electrochemical impedance spectroscopy. Energies 14(3):769

4. Guo N, Fang Y, Tian Z et al (2019) Research on soc fuzzy weighted algorithm based on ga-bp neural network and ampere integral method. J Eng 15:576–580

5. Zhang D, Zhong C, Xu P et al (2022) Deep learning in the state of charge estimation for li-ion batteries of electric vehicles: a review. Machines 10(10):912

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