A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems-Reference-Cited by-同舟云学术

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A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems

Published:2024-07-12 Issue: Volume: Page:
ISSN:0947-7047
Container-title:Ionics
language:en
Short-container-title:Ionics

Author:

Tao Junjie,Wang Shunli,Cao Wen,Takyi-Aninakwa Paul,Fernandez Carlos,Guerrero Josep M.

Funder

National Natural Science Foundation of China

Sichuan Province Science and Technology Support Program

Dazhou City School Cooperation Project

Technopole Talent Summit Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11581-024-05686-z.pdf

Reference129 articles.

1. Ghaeminezhad N, Ouyang Q, Wei J, Xue Y, Wang Z (2023) Review on state of charge estimation techniques of lithium-ion batteries: a control-oriented approach. J Energy Storage 72:108707

2. Sun X, Zhang Y, Zhang Y, Wang L, Wang K (2023) Summary of health-state estimation of lithium-ion batteries based on electrochemical impedance spectroscopy. Energies 16:5682

3. Zhang C, Zhang Y, Li Z, Zhang Z, Nazir MS, Peng T (2024) Enhancing state of charge and state of energy estimation in lithium-ion batteries based on a TimesNet model with Gaussian data augmentation and error correction. Appl Energy 359:122669

4. Li R, Li K, Liu P, Zhang X (2023) Research on Multi-Time Scale SOP estimation of lithium–ion battery based on H∞ filter. Batteries 9:191

5. Liu J, Liu X (2023) An improved method of state of health prediction for lithium batteries considering different temperature. J Energy Storage 63:107028

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