NDLI: Sensor range sensitivity of predictive energy management in plug-in hybrid vehicles

Content Provider	IEEE Xplore Digital Library
Author	Hofstetter, M. Ackerl, M. Hirz, M. Kraus, H. Karoshi, P. Fabian, J.
Copyright Year	2015
Description	Author affiliation: Inst. of Automotive Eng., Graz Univ. of Technol., Graz, Austria (Hofstetter, M.; Ackerl, M.; Hirz, M.; Kraus, H.; Karoshi, P.; Fabian, J.)
Abstract	The fuel saving potential of passenger plug-in hybrid vehicles (PHEVs) is presented as a function of sensor prediction range. The route is assumed to be given, while the upcoming vehicle speed is uncertain and requires prediction. The proposed prediction method uses up-to-date sensor information inside the prediction horizon and rough estimations through road inclination and speed limits beyond that prediction horizon. The entire route is thus considered in the optimization process. A deterministic Dynamic Programming algorithm then uses the speed- and acceleration-related power demand estimation to find the optimal torque-split control signals for the hybrid powertrain - the vehicle speed is not affected. The research results show that achieving significant fuel saving potential is relatively insensitive to the prediction range. Even relatively short prediction ranges within radar sensor range enable fuel economy very close to the global-optimal solution. The simulation results are compared with a simple charge-depleting strategy using the same amount of electrical energy to show the fuel saving potential.
Starting Page	1925
Ending Page	1932
File Size	653783
Page Count	8
File Format	PDF
e-ISBN	9781479977871
DOI	10.1109/CCA.2015.7320891
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Ice Torque Fuels Electromyography Batteries Propulsion
Content Type	Text
Resource Type	Article

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