NDLI: On-line identification of vehicle fuel consumption for energy and emission management: An LTP system analysis

Content Provider	IEEE Xplore Digital Library
Author	Kessels, J.T.B.A. Sijs, J. Hermans, R.M. Damen, A.A.H. van den Bosch, P.P.J.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Tech. Univ. Eindhoven, Eindhoven (Kessels, J.T.B.A.; Sijs, J.; Hermans, R.M.; Damen, A.A.H.; van den Bosch, P.P.J.)
Abstract	An Energy Management (EM) system traditionally relies on (quasi) static maps offering efficiency parameters of the vehicle powertrain. During a vehicle's life span, these maps lose validity, so optimal performance for EM is not assured. This paper presents a proof-of-concept for a novel measurement system, estimating important engine and generator characteristics on-line during driving. The generator applies a small excitation signal to the combustion engine and by means of correlation techniques and feedback control, the incremental fuel cost for generating electric power is estimated. This information is very relevant for EM in Hybrid Electric Vehicles. No additional sensors (e.g. torque estimators) are needed. Under mild assumptions it is shown that the measurement system satisfies a Linear Time Periodic (LTP) System. Harmonic analysis as well as Floquet Theory are used to analyze performance and stability criteria. Simulation results support this analysis and demonstrate good noise rejection of the system.
Starting Page	2070
Ending Page	2075
File Size	236438
Page Count	6
File Format	PDF
ISBN	9781424420780
ISSN	07431619
DOI	10.1109/ACC.2008.4586798
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Vehicles Fuels Energy management Engines Power generation Signal generators Harmonic analysis Power system management Mechanical power transmission Character generation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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