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A generalized extended state observer for supercapacitor state of charge estimation under disturbances

Authors: Yanhui Zhou; Zhiwu Huang; Jun Peng 0001; Heng Li 0005; Hongtao Liao;

A generalized extended state observer for supercapacitor state of charge estimation under disturbances

Abstract

In this paper, a generalized extended state observer (GESO) is proposed to accurately observe supercapacitor's state of charge (SOC) by counteracting the modeling deviation and disturbances. With the consideration of dynamic modeling uncertainty and disturbances, a nonlinear mathematical model is established based on the three branch equivalent circuit model for supercapacitor (SC). A GESO is designed to observe SC's internal capacitance voltage and modeling error with the known information from the established mathematical model. With the estimated modeling error information, a compensation control law is designed to eliminate deviation, which results in an accurate internal capacitance voltage observation. An accurate SOC for SC is obtained with the estimated parameters. Experimental results from a synchronous buck circuit based test platform are provided to verify the feasibility and superiority for SOC observation by GESO.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
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