Techniques for monitoring and predicting the OCV for VRLA battery systems

Alessandro Mariani, Kary Thanapalan, Peter Stevenson, Thomas Stockley, Jonathan Williams

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper provides a simple and advanced technique to monitor and predict the state of health (SOH) and the open circuit voltage (OCV) for valve regulated lead acid (VRLA) battery cells. The underlying principal of the technique described in this paper employs a mathematical model that can simulate different pore geometries shape and a simple equation to predict the equilibrated cell voltage after a small rest period. The technique was tested and analyzed using results obtained from experiments conducted at the Yuasa Battery laboratories. Lead-acid battery system analysis was carried out with reference to the standard battery system models available in the literature. The results indicate that by using this technique, appreciable benefits can be accrued and it is possible to maintain high standard products in safe operating conditions.

Original languageEnglish
Title of host publication2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780992680107
DOIs
Publication statusPublished - 30 Oct 2015
Event21st International Conference on Automation and Computing, ICAC 2015 - Glasgow, United Kingdom
Duration: 11 Sep 201512 Sep 2015

Conference

Conference21st International Conference on Automation and Computing, ICAC 2015
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/09/1512/09/15

Keywords

  • battery system
  • cell relaxation
  • Lead-acid technology
  • prediction mechanism
  • system analysis

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