Parameter Identification and State Estimation in Management System of Zinc–Nickel Single-Flow Batteries-Reference-Cited by-同舟云学术

Parameter Identification and State Estimation in Management System of Zinc–Nickel Single-Flow Batteries

Published:2021-04-20 Issue:4 Volume:54 Page:172-183
ISSN:0021-9592
Container-title:JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
language:en
Short-container-title:J. Chem. Eng. Japan

Author:

Yao Shouguang¹,Sun Xiaofei¹,Zhou Rui¹,Xiao Min¹,Cheng Jie²

Affiliation:

1. Jiangsu University of Science and Technology

2. Zhejiang Yuyuan Energy Storage Technology Co., Ltd.

Publisher

Society of Chemical Engineers, Japan

Subject

General Chemical Engineering,General Chemistry

Link

https://www.jstage.jst.go.jp/article/jcej/54/4/54_20we039/_pdf

Reference36 articles.

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2. Cheng, J., L. Zhang, Y. Yang, Y. Wen, G. Cao and X. Wang; “Preliminary Study of Single Flow Zinc–Nickel Battery,” Electrochem. Commun., 9, 2639–2642 (2007)

3. Deng, Z., X. Hu, X. Lin, Y. Che, L. Xu and W. Guo; “Data-Driven State of Charge Estimation for Lithium-Ion Battery Packs Based on Gaussian Process Regression,” Energy, 205, 118000 (2020)

4. Guo, X., L. Kang and Z. Huang; “On-Line State of Charge Estimation of Lithium-Ion Power Battery Pack Using Optimized Unscented Kalman Filtering,” IEEE Conference and Expo Transportation Electrification Asia-Pacific, pp. 1–6, Beijing, China (2014)

5. Hansen, T. and C. J. Wang; “Support Vector Based Battery State of Charge Estimator,” J. Power Sources, 141, 351–358 (2005)

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