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Title: Signal-disturbance interfacing elimination for unbiased model parameter identification of lithium-ion battery
Authors: Wei, Zhongbao
He, Hongwen
Pou, Josep
Tsui, Kwok-Leung
Quan, Zhongyi
Li, Yunwei
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Wei, Z., He, H., Pou, J., Tsui, K., Quan, Z. & Li, Y. (2020). Signal-disturbance interfacing elimination for unbiased model parameter identification of lithium-ion battery. IEEE Transactions On Industrial Informatics, 17(9), 5887-5897.
Journal: IEEE Transactions on Industrial Informatics
Abstract: A precisely parameterized battery model is the prerequisite of the model-based management of lithium-ion battery. However, the unexpected sensing of noises may discount the identification of model parameters in practical applications. This article focuses on the noise effect compensation and online parameter identification for the widely used equivalent circuit model. A novel degree of freedom (DOF) eliminator is proposed and combined with the Frisch scheme in a recursive fashion, for the first time, to coestimate the noise statistics and unbiased model parameters. A computationally tractable numerical solver is further proposed for the DOF eliminator to improve the real-time performance. Simulations and experiments are performed to validate the proposed method from theoretical to practical perspective. Results show that the proposed method can effectively mitigate the noise-induced identification biases and outperform the existing methods in terms of the accuracy and the robustness to noise corruption.
ISSN: 1551-3203
DOI: 10.1109/TII.2020.3047687
Schools: School of Electrical and Electronic Engineering 
Rights: © 2020 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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