State of Charge Estimation for Li-Ion Batteries Based on an Unscented H-Infinity Filter-Reference-Cited by-同舟云学术

State of Charge Estimation for Li-Ion Batteries Based on an Unscented H-Infinity Filter

Published:2020-09-30 Issue:6 Volume:15 Page:2529-2538
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Liu Yuanyuan,Cai Tiantian,Liu Jingbiao,Gao Mingyu,He Zhiwei^ORCID

Funder

Nature Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-020-00544-0.pdf

Reference37 articles.

1. Chen C, Xiong R, Shen W (2018) A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H-Infinity Filters for State-of-Charge and Capacity Estimation. IEEE Trans Power Electron 33(1):332–342

2. C. Liu, et al (2017)“A State of Charge Estimation Method Based on H-infinity Observer for Switched Systems of Lithium-Ion Nickel-Manganese -Cobalt Batteries.” IEEE Trans Ind Electron. 64(10): 8128–8137

3. Liu M et al (2017) “Adaptive strong tracking unscented Kalman filter based SOC estimation for lithium-ion battery” in Chin. Automat Congr 1:1437–1441

4. Yu Q, Xiong R, Lin C, Shen W, Deng J (2017) Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters. IEEE Trans Veh Technol 66(10):8693–8701

5. Xiong R, Yu Q, Wang LY (2017) Open circuit voltage and state of charge online estimation for lithium ion batteries. Energy Procedia. Energy Procedia 1:1902–1907

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