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79 results on '"Dube, Yves"'

18. Experimental validation of a state model for PEMFC auxiliary control

Author

Agbossou, Kodjo, Dube, Yves, Hassanaly, Nadine, Adzakpa, K. Pelope, and Ramousse, Julien

Subjects
Fuel cells -- Equipment and supplies, Control equipment -- Testing, Airdrops -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Published
2009

37. Approach in Nonintrusive Type I Load Monitoring Using Subtractive Clustering.

Author

Henao, Nilson, Agbossou, Kodjo, Kelouwani, Sousso, Dube, Yves, and Fournier, Michael

Abstract

In this paper, a low-sampling-rate and nonintrusive appliance loads monitoring (NIALM), which required only few tuning parameters and which is little sensitive to the grid power noise, is presented. Using transformed active power transitions as features, the proposed approach is based on the subtractive clustering and the maximum likelihood classifier. In order to validate the NIALM, a 1 Hz sampling rate experimental data from the reference energy disaggregation dataset is selected. The validation results with six commonly found ON/OFF residential appliances indicate that the proposed approach is effective. In addition, the obtained results from a Monte Carlo simulation suggest that this approach is less sensitive to power grid noise than a $K$ -mean-based NIALM method. [ABSTRACT FROM PUBLISHER]

Published
2017
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48. Two-Layer Energy-Management Architecture for a Fuel Cell HEV Using Road Trip Information.

Author

Kelouwani, Sousso, Henao, Nilson, Agbossou, Kodjo, Dube, Yves, and Boulon, Loïc

Subjects
ELECTRIC vehicles, HYBRID electric vehicles, ENERGY management, FUEL cells, POWER resources
Abstract

This paper investigates the design of a two-layer energy-management system for a fuel cell hybrid electric vehicle (HEV). The first layer (upper layer) deals with the vehicle energy consumption, whereas the second layer (lower layer) deals with the power splitting between the fuel cell and the battery. The upper layer aims at providing the globally optimal energy consumption profile by considering the road-trip information and the vehicle dynamics. This energy profile is independent of the number and type of power sources on the vehicle. Therefore, it can be used to assist the real-time power splitting algorithm implemented into the lower layer. This layer design goal is mainly to share the vehicle power demand between the fuel cell and the battery while minimizing the hydrogen consumption. In addition, the splitting method takes into account the fuel cell efficiency map and the hydrogen/electricity relative pricing while imposing a smooth behavior on the fuel cell. This smooth behavior is desirable to preserve the fuel cell life and reduce the oxygen starvation phenomenon. The proposed energy-management system has been successfully implemented and validated on an HEV test bench. The experiments and simulations using several standard driving cycles suggest that the approach can reduce the hydrogen consumption up to 10% compared to a rule-based method and a depleting-sustaining method while preserving at the same time the battery pack from overdischarging. [ABSTRACT FROM PUBLISHER]

Published
2012
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