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Parameter Identification

version 2.3 (31.3 MB) by xiangyu wang
Parameter Identification System for Fractional Order Model of Lithium-ion Battery


Updated 08 Oct 2021

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The fractional order model of lithium-ion battery was established and the parameters to be identified were determined. The parameters for the fractional order model of lithium-ion were obtained by calling GA-PSO joint algorithm in time domain and frequency domain joint identification to achieve accurate modeling.
Tools used:
MATLAB, Parallel Computing Toolbox, Sheffield toolbox
Relevant data:
EIS data: EIS08.mat, DST data: DST08.mat, complex working condition data: OPSPP08.mat
The running time of the program is long, and it may take 5 minutes, when bestresult < 0.4, the identification results are better.

Cite As

xiangyu wang (2022). Parameter Identification (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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