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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.5(2): 273-278 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.692

Implementation of a Fuzzy Control System for a Parallel Hybrid Vehicle Powertrain on Compact Rio

Maurizio Paschero, Gian L. Storti, Antonello Rizzi, and Fabio M. Frattale Mascioli
Abstract—In the present paper it is discussed the design and the implementation of a fuzzy control system for efficient energy management of a parallel hybrid vehicle powertrain. A simple strategy, based on two control signals is adopted to realize the split of the driver request between the internal combustion engine and the electric motor during the acceleration phases. Similarly, during the deceleration phases a dedicated set of fuzzy rules is used to control the regenerative braking. The proposed strategy has been implemented in Lab View in order to easily program a compact reconfigurable input/output hardware device produced by National Instruments. The powertrain controller has been developed to be installed on a high performance sport parallel hybrid electric prototype under construction in the Polo per La Mobilità Sostenibile Labora- tories.

Index Terms—Fuzzy control, parallel hybrid vehicle, LabView.

The authors are with the University of Rome „Sapienza‟, DIET Department, Via Eudossiana 18, 00184, Roma, Italy (e-mail: maurizio.paschero@pomos.it, ginaluca.storti@uniroma1.it, antonello.rizzi@pomos.it, fabio.mascioli@pomos.it).

[PDF]

Cite: Maurizio Paschero, Gian L. Storti, Antonello Rizzi, and Fabio M. Frattale Mascioli, "Implementation of a Fuzzy Control System for a Parallel Hybrid Vehicle Powertrain on Compact Rio," International Journal of Computer Theory and Engineering vol. 5, no. 2, pp. 273-278, 2013.
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