DocumentCode
2249773
Title
Adaptive state of charge (SOC) estimation for batteries with parametric uncertainties
Author
Chaoui, Hicham ; Sicard, Pierre ; Ndjana, Hervé Joël Nanga
Author_Institution
Electr. & Comput. Eng. Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivières, QC, Canada
fYear
2010
fDate
6-9 July 2010
Firstpage
703
Lastpage
707
Abstract
In this paper, we introduce an adaptive state of charge (SOC) estimator for batteries. The adaptive strategy consists of online parameters estimation. A Lyapunov-based stability analysis is presented for the proposed estimation technique. Unlike other estimation strategies, only battery terminal voltage and current measurements are required. A computer simulation highlights the performance of the proposed estimator in determining the SOC with high accuracy.
Keywords
Lyapunov matrix equations; battery management systems; cells (electric); parameter estimation; Lyapunov-based stability analysis; adaptive state of charge estimation; batteries; online parameters estimation; parametric uncertainties; Batteries; Converters; Current measurement; Estimation; Resistance; System-on-a-chip; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics (AIM), 2010 IEEE/ASME International Conference on
Conference_Location
Montreal, ON
Print_ISBN
978-1-4244-8031-9
Type
conf
DOI
10.1109/AIM.2010.5695870
Filename
5695870
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