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Optimization of tremblay's battery model parameters for plug-in hybrid electric vehicle application
Citation
Zhang, Y and Lyden, S and Leon de la Barra, BA and Haque, ME, Optimization of tremblay's battery model parameters for plug-in hybrid electric vehicle application, Proceedings from the Australian Universities Power Engineering Conference, 19-22 November 2017, Melbourne, Australia, pp. 1-6. ISBN 9781538626481 (2017) [Refereed Conference Paper]
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DOI: doi:10.1109/AUPEC.2017.8282405
Abstract
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | battery, modelling, Tremblay's battery model, parameter identification, genetic algorithm, particle swarm optimization, quantum-behaved particle swarm optimization |
Research Division: | Engineering |
Research Group: | Electrical engineering |
Research Field: | Electrical energy generation (incl. renewables, excl. photovoltaics) |
Objective Division: | Energy |
Objective Group: | Energy storage, distribution and supply |
Objective Field: | Energy storage (excl. hydrogen and batteries) |
UTAS Author: | Zhang, Y (Mr Ben Zhang) |
UTAS Author: | Lyden, S (Dr Sarah Lyden) |
UTAS Author: | Leon de la Barra, BA (Dr Bernardo Leon de la Barra) |
ID Code: | 123948 |
Year Published: | 2017 |
Deposited By: | Engineering |
Deposited On: | 2018-02-02 |
Last Modified: | 2018-07-31 |
Downloads: | 98 View Download Statistics |
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