Path dependent receding horizon control policies for hybrid electric vehicles
Name
Katsargyri-2009-Path dependent receding horizon control policies for hybrid electric vehicles.pdf
Size
538.25 KB
Format
Adobe PDF
Checksum (MD5)
77aaacecaa1092c15e2e91545935f0d1
Author(s)
Kolmanovsky, Ilya V.
Michelini, John
Kuang, Ming L.
Phillips, Anthony M.
Katsargyri, Georgia-Evangel
Rinehart, Michael David
Dahleh, Munther A.
Date Issued
October 2009
Journal
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
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CCA.2009.5280977
