DocumentCode :
133435
Title :
Design and implementation of OCV prediction mechanism for PV-lithium ion battery system
Author :
Stockley, Thomas ; Thanapalan, Kary ; Bowkett, Mark ; Williams, Julia
Author_Institution :
Fac. of Comput., Eng. & Sci., Univ. of South Wales, Pontypridd, UK
fYear :
2014
fDate :
12-13 Sept. 2014
Firstpage :
49
Lastpage :
54
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 :
battery management systems; secondary cells; solar cells; BMS system design; CAPSE battery laboratory; Centre for Automotive and Power System Engineering battery laboratories; OCV prediction mechanism; PV lithium-ion battery system; University of South Wales; experimental data; lithium-ion cell; lithium-ion module; open circuit voltage prediction mechanism; Batteries; Discharges (electric); Estimation; Mathematical model; Predictive models; System-on-chip; Voltage measurement; BMS; Module Simulation; PV-Lithium; Prediction Mechanism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Computing (ICAC), 2014 20th International Conference on
Conference_Location :
Cranfield
Type :
conf
DOI :
10.1109/IConAC.2014.6935459
Filename :
6935459
Link To Document :
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