Techniques for monitoring and predicting the OCV for VRLA battery systems

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

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i gynhadleddadolygiad gan gymheiriaid

1 Dyfyniad (Scopus)

Crynodeb

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.

Iaith wreiddiolSaesneg
Teitl2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015
CyhoeddwrInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronig)9780992680107
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 30 Hyd 2015
Digwyddiad21st International Conference on Automation and Computing, ICAC 2015 - Glasgow, Y Deyrnas Unedig
Hyd: 11 Sep 201512 Sep 2015

Cynhadledd

Cynhadledd21st International Conference on Automation and Computing, ICAC 2015
Gwlad/TiriogaethY Deyrnas Unedig
DinasGlasgow
Cyfnod11/09/1512/09/15

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