Design and implementation of OCV prediction mechanism for PV-lithium ion battery system

Thomas Stockley; Kary Thanapalan; Mark Bowkett; Jonathan Williams

doi:10.1109/IConAC.2014.6935459

Design and implementation of OCV prediction mechanism for PV-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

1 Citation (Scopus)

Abstract

This paper describes the design and implementation of an open circuit voltage (OCV) prediction mechanism for Li-ion based battery systems. This approach involves the development of a simulation model incorporating Li-ion cells, modules and later the PV-battery system. The simulation model is used to analyse the effect of the prediction mechanism and is validated with the experimental data obtained through the tests conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories, at the University of South Wales. This approach could be used for controller development, to improve operational quality and performance with an appropriate BMS system design that makes use of the technique. To prove that the technique works in a real world system the prediction mechanism has been built into a BMS currently being developed in the CAPSE labs.

Original language	English
Title of host publication	ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	49-54
Number of pages	6
ISBN (Electronic)	9781909522022
DOIs	https://doi.org/10.1109/IConAC.2014.6935459
Publication status	Published - 24 Oct 2014
Event	20th International Conference on Automation and Computing, ICAC 2014 - Cranfield, United Kingdom Duration: 12 Sept 2014 → 13 Sept 2014

Conference

Conference	20th International Conference on Automation and Computing, ICAC 2014
Country/Territory	United Kingdom
City	Cranfield
Period	12/09/14 → 13/09/14

Keywords

BMS
Module Simulation
Prediction Mechanism
PV-Lithium

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IConAC.2014.6935459Licence: CC BY-NC-ND

Cite this

Stockley, T., Thanapalan, K., Bowkett, M., & Williams, J. (2014). Design and implementation of OCV prediction mechanism for PV-lithium ion battery system. In ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing (pp. 49-54). Article 6935459 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IConAC.2014.6935459

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title = "Design and implementation of OCV prediction mechanism for PV-lithium ion battery system",

abstract = "This paper describes the design and implementation of an open circuit voltage (OCV) prediction mechanism for Li-ion based battery systems. This approach involves the development of a simulation model incorporating Li-ion cells, modules and later the PV-battery system. The simulation model is used to analyse the effect of the prediction mechanism and is validated with the experimental data obtained through the tests conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories, at the University of South Wales. This approach could be used for controller development, to improve operational quality and performance with an appropriate BMS system design that makes use of the technique. To prove that the technique works in a real world system the prediction mechanism has been built into a BMS currently being developed in the CAPSE labs.",

keywords = "BMS, Module Simulation, Prediction Mechanism, PV-Lithium",

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

year = "2014",

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doi = "10.1109/IConAC.2014.6935459",

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booktitle = "ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "20th International Conference on Automation and Computing, ICAC 2014 ; Conference date: 12-09-2014 Through 13-09-2014",

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Stockley, T, Thanapalan, K, Bowkett, M & Williams, J 2014, Design and implementation of OCV prediction mechanism for PV-lithium ion battery system. in ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing., 6935459, Institute of Electrical and Electronics Engineers Inc., pp. 49-54, 20th International Conference on Automation and Computing, ICAC 2014, Cranfield, United Kingdom, 12/09/14. https://doi.org/10.1109/IConAC.2014.6935459

Design and implementation of OCV prediction mechanism for PV-lithium ion battery system. / Stockley, Thomas; Thanapalan, Kary; Bowkett, Mark et al.
ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing. Institute of Electrical and Electronics Engineers Inc., 2014. p. 49-54 6935459.

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

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AU - Thanapalan, Kary

AU - Bowkett, Mark

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PY - 2014/10/24

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N2 - This paper describes the design and implementation of an open circuit voltage (OCV) prediction mechanism for Li-ion based battery systems. This approach involves the development of a simulation model incorporating Li-ion cells, modules and later the PV-battery system. The simulation model is used to analyse the effect of the prediction mechanism and is validated with the experimental data obtained through the tests conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories, at the University of South Wales. This approach could be used for controller development, to improve operational quality and performance with an appropriate BMS system design that makes use of the technique. To prove that the technique works in a real world system the prediction mechanism has been built into a BMS currently being developed in the CAPSE labs.

AB - This paper describes the design and implementation of an open circuit voltage (OCV) prediction mechanism for Li-ion based battery systems. This approach involves the development of a simulation model incorporating Li-ion cells, modules and later the PV-battery system. The simulation model is used to analyse the effect of the prediction mechanism and is validated with the experimental data obtained through the tests conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories, at the University of South Wales. This approach could be used for controller development, to improve operational quality and performance with an appropriate BMS system design that makes use of the technique. To prove that the technique works in a real world system the prediction mechanism has been built into a BMS currently being developed in the CAPSE labs.

KW - BMS

KW - Module Simulation

KW - Prediction Mechanism

KW - PV-Lithium

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DO - 10.1109/IConAC.2014.6935459

M3 - Conference contribution

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BT - ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 12 September 2014 through 13 September 2014

ER -

Stockley T, Thanapalan K, Bowkett M, Williams J. Design and implementation of OCV prediction mechanism for PV-lithium ion battery system. In ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing. Institute of Electrical and Electronics Engineers Inc. 2014. p. 49-54. 6935459 doi: 10.1109/IConAC.2014.6935459

Design and implementation of OCV prediction mechanism for PV-lithium ion battery system

Abstract

Conference

Keywords

UN SDGs

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