Energy Storage System Modelling For Hybrid Electric Vehicle

The equivalent circuit model (ECM)-based traditional state-of-charge (SoC) estimate approaches combine all state variables into a single enhanced state vector. However, the stability and accuracy of the estimates are compromised by the correlations between RC voltages and SOC. In this article, the f...

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Bibliographic Details
Published in:E3S web of conferences 2024, Vol.564, p.2012
Main Authors: Mohammed, G., Srividya Devi, P., Durgadevi, G., Subramani, R., Husain, Saif O.
Format: Article
Language:English
Subjects:
characteristics
charge
curves
discharge
electrical
state of charge
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Summary:The equivalent circuit model (ECM)-based traditional state-of-charge (SoC) estimate approaches combine all state variables into a single enhanced state vector. However, the stability and accuracy of the estimates are compromised by the correlations between RC voltages and SOC. In this article, the four battery chemistries have been discussed for their state variable characterization i.e. state of charge (SOC). The battery types considered are lead acid, nickel metal hydride, lithium ion. The manufacturer’s battery discharge curves are used to determine the model parameters, and a method is also described for doing this. An improved battery model is suggested in this study that can be applied to HEV design and analysis. By incorporating the electrical characteristics of the battery, the model generates precise results.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/202456402012