Signal-Disturbance Interfacing Elimination for Unbiased Model Parameter Identification of Lithium-Ion Battery

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

18 Scopus Citations
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Author(s)

  • Zhongbao Wei
  • Hongwen He
  • Josep Pou
  • Kwok-Leung Tsui
  • Zhongyi Quan
  • And 1 others
  • Yunwei Li

Detail(s)

Original languageEnglish
Pages (from-to)5887-5897
Journal / PublicationIEEE Transactions on Industrial Informatics
Volume17
Issue number9
Online published28 Dec 2020
Publication statusPublished - Sep 2021
Externally publishedYes

Abstract

A precisely parameterized battery model is the prerequisite of the model-based management of lithium-ion battery (LIB). However, the unexpected sensing of noises may discount the identification of model parameters in practical applications. This paper focuses on the noise effect compensation and online parameter identification for the widely-used equivalent circuit model (ECM). A novel degree of freedom (DOF) eliminator is proposed and combined with the Frisch scheme in a recursive fashion, for the first time, to co-estimate 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 mitigate effectively the noise-induced identification biases and outperforms the existing methods in terms of the accuracy and the robustness to noise corruption.

Research Area(s)

  • Adaptation models, Batteries, bias compensation, Computational modeling, Electronic countermeasures, equivalent circuit model, Informatics, Integrated circuit modeling, lithium-ion battery, Mathematical model, noise, parameter identification

Citation Format(s)

Signal-Disturbance Interfacing Elimination for Unbiased Model Parameter Identification of Lithium-Ion Battery. / Wei, Zhongbao; He, Hongwen; Pou, Josep; Tsui, Kwok-Leung; Quan, Zhongyi; Li, Yunwei.

In: IEEE Transactions on Industrial Informatics, Vol. 17, No. 9, 09.2021, p. 5887-5897.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review