A Sensitivity-Based Group-Wise Parameter Identification Algorithm for the Electric Model of Li-Ion Battery

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

21 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)4377-4387
Journal / PublicationIEEE Access
Volume5
Online published9 Mar 2017
Publication statusPublished - 2017

Link(s)

Abstract

This paper proposes a sensitivity-based group-wise parameter identification algorithm for the electrical model of Li-ion battery. A global sensitivity analysis method is first performed in the entire parameter space to evaluate the identifiability of the model parameters. Then, the parameters are sorted and grouped by the global sensitivity indices. Finally, a group-wise method embedded with the Levenberg-Marquardt algorithm is followed to identify the parameters. Numerical simulation results and comparisons demonstrate that the proposed group-wise identification algorithm can serve as a reliable tool for extracting parameters.

Research Area(s)

  • group-wise identification, Levenberg-Marquardt algorithm, Li-ion battery, parameter identification, sensitivity analysis

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