Comparative Analysis of Advanced OCV PredictionMechanism for Batteries Used in Vehicular Systems

0*, Mark Bowkett**, Thomas Stockley***, Alessandro Mariani****, Jonathan Williams*****
*-** Senior Researcher, CAPSE, Faculty of Computing, Engineering and Science, University of South Wales,UK.
*** Senior Research Assistant, CAPSE, Faculty of Computing, Engineering and Science, University of South Wales,UK.
**** Research Student, CAPSE, Faculty of Computing, Engineering and Science, University of South Wales,UK.
***** CAPSE Director, CAPSE, Faculty of Computing, Engineering and Science, University of South Wales,UK.
Periodicity:May - July'2015
DOI : https://doi.org/10.26634/jps.3.2.3478

Abstract

This paper presents an advanced Open Circuit Voltage (OCV) prediction technique for battery cells. The work contains an investigation to examine the relaxation voltage curves, to analyse the potential for the OCV prediction technique in a practical system. The technique described in this paper employs one simple equation to predict the equilibrated cell voltage after a small rest period. The practical work detailed in this paper was conducted at the Center for Automotive and Power System Engineering (CAPSE) battery laboratories at the University of South Wales (USW). The results indicate that the proposed OCV prediction technique is highly effective and using this technique appreciable benefit can be accrued.

Keywords

System Analysis, OCV, Battery System, Predication Mechanism, Performance Analysis.

How to Cite this Article?

Thanapalan, K., Bowkett, M., Stockley, T., Mariani, A., and Williams, J. (2015). Comparative Analysis of Advanced OCV Prediction Mechanism for Batteries Used in Vehicular Systems. i-manager’s Journal on Power Systems Engineering, 3(2), 1-7. https://doi.org/10.26634/jps.3.2.3478

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