Research on PNGV model parameter identification of LiFePO4 Li-ion battery based on FMRLS

According to the characteristic analysis of the LiFePO4 Li-ion battery, and aiming at the real-time identification of the model parameter, the battery model was established based on PNGV. The real-time identification of PNGV model parameter was achieved by fading memory delivery recursive least squa...

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Bibliographic Details
Published in2011 6th IEEE Conference on Industrial Electronics and Applications pp. 2294 - 2297
Main Authors Wengen Gao, Ming Jiang, Youming Hou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Analytical models
Batteries
battery model
Discharges
Fading
fading memory recursive least squares
Least squares approximation
LiFePO4 Li-ion battery
Mathematical model
parameter identification
System-on-a-chip
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Summary:According to the characteristic analysis of the LiFePO4 Li-ion battery, and aiming at the real-time identification of the model parameter, the battery model was established based on PNGV. The real-time identification of PNGV model parameter was achieved by fading memory delivery recursive least squares. The simulation results show that this method could identify the model parameters real-time more effectively and reduce the error because of the recursive least squares method of the data saturation. It could provide some more useful reference for improving the accuracy of LiFePO4 Li-ion battery SOC estimation.
ISBN:9781424487547
1424487544
ISSN:2156-2318
DOI:10.1109/ICIEA.2011.5975974