Path dependent receding horizon control policies for hybrid electric vehicles
Author(s)
Kolmanovsky, Ilya V.; Michelini, John; Kuang, Ming L.; Phillips, Anthony M.; Katsargyri, Georgia-Evangel; Rinehart, Michael David; Dahleh, Munther A.; ... Show more Show less
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Future hybrid electric vehicles (HEVs) may use path-dependent operating policies to improve fuel economy. In our previous work, we developed a dynamic programming (DP) algorithm for prescribing the battery state of charge (SoC) set-point, which in combination with a novel approach of route decomposition, has been shown to reduce fuel consumption over selected routes. In this paper, we propose and illustrate a receding horizon control (RHC) strategy for the on-board optimization of the fuel consumption. As compared to the DP approach, the computational requirements of the RHC strategy are lower. In addition, the RHC strategy is capable of correcting for differences between characteristics of a predicted route and a route actually traveled. Our numerical results indicate that the fuel economy potential of the RHC solution can approach that of the DP solution.
Date issued
2009-10Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision SystemsJournal
Control Applications, (CCA) & Intelligent Control, (ISIC) 2009 IEEE
Publisher
Institute of Electrical and Electronics Engineers
Citation
Katsargyri, G.-E. et al. “Path dependent receding horizon control policies for Hybrid Electric Vehicles.” Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE. 2009. 607-612. Web.
Version: Final published version
Other identifiers
INSPEC Accession Number: 10915858
ISBN
978-1-4244-4601-8
ISSN
1085-1992