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Adaptive state of charge (SOC) estimator for a battery

Authors: Michael L. McIntyre; Timothy C. Burg; Darren M. Dawson; Bin Xian;

Adaptive state of charge (SOC) estimator for a battery

Abstract

This work proposes an adaptive least-squares estimation strategy to determine the state of charge (SOC) for an electro-chemical battery. An estimation analysis is presented which proves that under a set of qualifying conditions, that the SOC of the battery can be estimated. This estimate is determined by using only measurements of the battery terminal voltage and current.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
14
Top 10%
Top 10%
Average
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