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SOC estimation of rechargeable batteries

Authors: Chen, Wanjing;

SOC estimation of rechargeable batteries

Abstract

In order to ensure that the energy inside the battery is made good use for supplying the portable product and that the risk of damaging the batteries is minimized, the state-of-charge (SOC), which cannot be measured directly, of the battery needs to be accurate. In this thesis, two kinds of estimators, the EKF and the UKF, were introduced and tested in Matlab environment. First, an accurate battery model was quoted and several verified tests were conducted in order to introduce the model at length. The voltage, measured SOC and current data was also obtained in this process for the next estimation step. Then, the EKF and the UKF algorithms were introduced. Experiments were then conducted in order to verify the algorithms in different kinds of situations. The results showed that when the conditions were not ideal, the UKF could perform better than the EKF. Master of Science (Power Engineering)

Country
Singapore
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Keywords

:Engineering::Electrical and electronic engineering [DRNTU], DRNTU::Engineering::Electrical and electronic engineering, 620

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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!
0
Average
Average
Average
Green
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