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.
|Title of host publication
|ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 24 Oct 2014
|20th International Conference on Automation and Computing, ICAC 2014 - Cranfield, United Kingdom
Duration: 12 Sept 2014 → 13 Sept 2014
|20th International Conference on Automation and Computing, ICAC 2014
|12/09/14 → 13/09/14
- Module Simulation
- Prediction Mechanism