Simple and Effective OCV Prediction Mechanism for VRLA Battery Systems

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

Simple and Effective OCV Prediction Mechanism for VRLA Battery Systems

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

Faculty of Computing, Engineering and Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents an effective technique to monitor and predict the open circuit voltage (OCV) for lead-acid battery cells. The underlying principal of the technique described in this paper employs one 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 language	English
Title of host publication	Proceedings of the 3rd International Conference on Mechanical Engineering and Mechatronics
Subtitle of host publication	Prague, Czech Republic, August 14-15, 2014
Publication status	Published - 2014
Event	3rd International Conference on Mechanical Engineering and Mechatronics - Prague, Czech Republic Duration: 14 Aug 2014 → 15 Aug 2014

Conference

Conference	3rd International Conference on Mechanical Engineering and Mechatronics
Country/Territory	Czech Republic
City	Prague
Period	14/08/14 → 15/08/14

Cite this

@inproceedings{d0470c7551d84f288fb184989e8cddf5,

title = "Simple and Effective OCV Prediction Mechanism for VRLA Battery Systems",

abstract = "This paper presents an effective technique to monitor and predict the open circuit voltage (OCV) for lead-acid battery cells. The underlying principal of the technique described in this paper employs one 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.",

author = "Alessandro Mariani and Thomas Stockley and Kary Thanapalan and Jonathan Williams and Peter Stevenson",

year = "2014",

language = "English",

booktitle = "Proceedings of the 3rd International Conference on Mechanical Engineering and Mechatronics",

note = "3rd International Conference on Mechanical Engineering and Mechatronics ; Conference date: 14-08-2014 Through 15-08-2014",

}

Mariani, A, Stockley, T, Thanapalan, K, Williams, J & Stevenson, P 2014, Simple and Effective OCV Prediction Mechanism for VRLA Battery Systems. in Proceedings of the 3rd International Conference on Mechanical Engineering and Mechatronics: Prague, Czech Republic, August 14-15, 2014., Paper 140, 3rd International Conference on Mechanical Engineering and Mechatronics, Prague, Czech Republic, 14/08/14.

Simple and Effective OCV Prediction Mechanism for VRLA Battery Systems. / Mariani, Alessandro; Stockley, Thomas; Thanapalan, Kary et al.

Proceedings of the 3rd International Conference on Mechanical Engineering and Mechatronics: Prague, Czech Republic, August 14-15, 2014. 2014. Paper 140.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Simple and Effective OCV Prediction Mechanism for VRLA Battery Systems

AU - Mariani, Alessandro

AU - Stockley, Thomas

AU - Thanapalan, Kary

AU - Williams, Jonathan

AU - Stevenson, Peter

PY - 2014

Y1 - 2014

N2 - This paper presents an effective technique to monitor and predict the open circuit voltage (OCV) for lead-acid battery cells. The underlying principal of the technique described in this paper employs one 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.

AB - This paper presents an effective technique to monitor and predict the open circuit voltage (OCV) for lead-acid battery cells. The underlying principal of the technique described in this paper employs one 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.

M3 - Conference contribution

BT - Proceedings of the 3rd International Conference on Mechanical Engineering and Mechatronics

T2 - 3rd International Conference on Mechanical Engineering and Mechatronics

Y2 - 14 August 2014 through 15 August 2014

ER -

Simple and Effective OCV Prediction Mechanism for VRLA Battery Systems

Abstract

Conference

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