Linear parameter variation modeling and online model identification algorithms for lithium-ion batteries-Reference-Cited by-同舟云学术

Linear parameter variation modeling and online model identification algorithms for lithium-ion batteries

Published:2024-06-07 Issue: Volume:32 Page:1643-1649
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
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Author:

Jiang Yuchao¹,Hou Jie¹,Li Penghua¹,Xiang Sheng¹,Chen Liping²,Ilolov Mamadsho³,Shokir Farhod⁴,Xie Lirong⁵

Affiliation:

1. Chongqing University of Posts and Telecommunications,College of Automation,Chongqing,China

2. Hefei University of Technology,School of Electrical Engineering and Automation,Hefei,China

3. Center for Innovative Development of Science and New Technologies of the National Academy of Sciences of Tajikistan,Tajikistan

4. S.U.Umarov Physical–Technical Institute of the National Academy of Sciences of Tajikistan,Tajikistan

5. Xinjiang University,College of Electrical Engineering,Urumqi,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598733.pdf?arnumber=10598733

Reference21 articles.

1. A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation

2. Recursive Parameter Identification of Lithium-Ion Battery for EVs Based on Equivalent Circuit Model

3. Recursive subspace identification of linear parameter-varying systems

4. Fast-array Recursive Closed-loop Subspace Model Identification

5. Closure to ”Discussion of ’A Model for Oxidation of Silicon by Oxygen’ [S. S. Cristy and J. B. Condon (pp. 2170–2174, Vol. 128, No. 10)]";Cristy;International Journal of Oncology,2008