Development of an OCV Prediction Mechanism for Lithium – Ion Battery System

Thomas Stockley; Kary Thanapalan; Mark Bowkett; Jonathan Williams

Development of an OCV Prediction Mechanism for Lithium – Ion Battery System

Thomas Stockley, Kary Thanapalan, Mark Bowkett, Jonathan Williams

Faculty of Computing, Engineering and Science

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

Abstract

This paper investigates the development of an open circuit voltage (OCV) prediction technique for lithium 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 verified by using results obtained from experiments conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories at the University of South Wales. Lithium-ion battery system analysis was carried out with reference to the standard battery system models available in the literature.

Original language	English
Title of host publication	Proceedings of 19th International Conference on Automation and Computing 2013
Place of Publication	London
Publisher	Institute of Electrical and Electronics Engineers
Pages	48 - 53
Number of pages	6
ISBN (Electronic)	978-1-908549-08-2
Publication status	Published - 2013
Event	19th International Conference on Automation & Computing - Brunel University, Uxbridge, United Kingdom Duration: 13 Sep 2013 → 14 Sep 2013 Conference number: 19

Conference

Conference	19th International Conference on Automation & Computing
Country/Territory	United Kingdom
City	Uxbridge
Period	13/09/13 → 14/09/13

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title = "Development of an OCV Prediction Mechanism for Lithium – Ion Battery System",

abstract = "This paper investigates the development of an open circuit voltage (OCV) prediction technique for lithium 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 verified by using results obtained from experiments conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories at the University of South Wales. Lithium-ion battery system analysis was carried out with reference to the standard battery system models available in the literature.",

author = "Thomas Stockley and Kary Thanapalan and Mark Bowkett and Jonathan Williams",

year = "2013",

language = "English",

pages = "48 -- 53",

booktitle = "Proceedings of 19th International Conference on Automation and Computing 2013",

publisher = "Institute of Electrical and Electronics Engineers",

note = "19th International Conference on Automation & Computing ; Conference date: 13-09-2013 Through 14-09-2013",

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Stockley, T, Thanapalan, K, Bowkett, M & Williams, J 2013, Development of an OCV Prediction Mechanism for Lithium – Ion Battery System. in Proceedings of 19th International Conference on Automation and Computing 2013. Institute of Electrical and Electronics Engineers, London, pp. 48 - 53, 19th International Conference on Automation & Computing , Uxbridge, United Kingdom, 13/09/13. <https://ieeexplore.ieee.org/document/6662011/>

Development of an OCV Prediction Mechanism for Lithium – Ion Battery System. / Stockley, Thomas; Thanapalan, Kary; Bowkett, Mark et al.

Proceedings of 19th International Conference on Automation and Computing 2013. London : Institute of Electrical and Electronics Engineers, 2013. p. 48 - 53.

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

TY - GEN

T1 - Development of an OCV Prediction Mechanism for Lithium – Ion Battery System

AU - Stockley, Thomas

AU - Thanapalan, Kary

AU - Bowkett, Mark

AU - Williams, Jonathan

N1 - Conference code: 19

PY - 2013

Y1 - 2013

N2 - This paper investigates the development of an open circuit voltage (OCV) prediction technique for lithium 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 verified by using results obtained from experiments conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories at the University of South Wales. Lithium-ion battery system analysis was carried out with reference to the standard battery system models available in the literature.

AB - This paper investigates the development of an open circuit voltage (OCV) prediction technique for lithium 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 verified by using results obtained from experiments conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories at the University of South Wales. Lithium-ion battery system analysis was carried out with reference to the standard battery system models available in the literature.

M3 - Conference contribution

SP - 48

EP - 53

BT - Proceedings of 19th International Conference on Automation and Computing 2013

PB - Institute of Electrical and Electronics Engineers

CY - London

T2 - 19th International Conference on Automation & Computing

Y2 - 13 September 2013 through 14 September 2013

ER -

Development of an OCV Prediction Mechanism for Lithium – Ion Battery System

Abstract

Conference

UN SDGs

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