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

Cyfadran Cyfrifiadureg, Peirianneg a Gwyddoniaeth

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

1 Dyfyniad (Scopus)

Crynodeb

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.

Iaith wreiddiol	Saesneg
Teitl	ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing
Cyhoeddwr	Institute of Electrical and Electronics Engineers Inc.
Tudalennau	49-54
Nifer y tudalennau	6
ISBN (Electronig)	9781909522022
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/IConAC.2014.6935459
Statws	Cyhoeddwyd - 24 Hyd 2014
Digwyddiad	20th International Conference on Automation and Computing, ICAC 2014 - Cranfield, Y Deyrnas Unedig Hyd: 12 Medi 2014 → 13 Medi 2014

Cynhadledd

Cynhadledd	20th International Conference on Automation and Computing, ICAC 2014
Gwlad/Tiriogaeth	Y Deyrnas Unedig
Dinas	Cranfield
Cyfnod	12/09/14 → 13/09/14

NDC y CU

Mae’r allbwn hwn yn cyfrannu at y Nod(au) Datblygu Cynaliadwy canlynol

Mynediad at Ddogfen

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

Dyfynnu hyn

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

@inproceedings{00898cab94074a2ca1fa3588884aea16,

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",

month = oct,

day = "24",

doi = "10.1109/IConAC.2014.6935459",

language = "English",

pages = "49--54",

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",

}

Stockley, T, Thanapalan, K, Bowkett, M & Williams, J 2014, Design and implementation of OCV prediction mechanism for PV-lithium ion battery system. yn 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., tt. 49-54, 20th International Conference on Automation and Computing, ICAC 2014, Cranfield, Y Deyrnas Unedig, 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. t. 49-54 6935459.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - Design and implementation of OCV prediction mechanism for PV-lithium ion battery system

AU - Stockley, Thomas

AU - Thanapalan, Kary

AU - Bowkett, Mark

AU - Williams, Jonathan

PY - 2014/10/24

Y1 - 2014/10/24

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

U2 - 10.1109/IConAC.2014.6935459

DO - 10.1109/IConAC.2014.6935459

M3 - Conference contribution

AN - SCOPUS:84912122985

SP - 49

EP - 54

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.

T2 - 20th International Conference on Automation and Computing, ICAC 2014

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. Yn 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. t. 49-54. 6935459 doi: 10.1109/IConAC.2014.6935459

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

Crynodeb

Cynhadledd

NDC y CU

Mynediad at Ddogfen

Ôl bys

Dyfynnu hyn