PRIUS CONTROL WITH A HYBRID METHOD

Danil Prokhorov

Abstract

We describe an application of a computational intelligence method for superior control of the Toyota Prius hybrid electric vehicle. We are interested in improvement of fuel efficiency while reducing emissions. We describe our approach which is based on recurrent neural networks. The proposed approach is quite general and applicable to other complex real-world systems.

References

  1. Baumann, B., Rizzoni, G., and Washington, G. N. (1998). Intelligent control of hybrid vehicles using neural net-
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Paper Citation


in Harvard Style

Prokhorov D. (2007). PRIUS CONTROL WITH A HYBRID METHOD . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: IVCS, (ICINCO 2007) ISBN 978-972-8865-83-2, pages 372-375. DOI: 10.5220/0001637703720375


in Bibtex Style

@conference{ivcs07,
author={Danil Prokhorov},
title={PRIUS CONTROL WITH A HYBRID METHOD},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: IVCS, (ICINCO 2007)},
year={2007},
pages={372-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001637703720375},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: IVCS, (ICINCO 2007)
TI - PRIUS CONTROL WITH A HYBRID METHOD
SN - 978-972-8865-83-2
AU - Prokhorov D.
PY - 2007
SP - 372
EP - 375
DO - 10.5220/0001637703720375