Optimally Controlling Hybrid Electric Vehicles using Path Forecasting

Author(s)
Kolmanovsky, Ilya V.; Michelini, John; Kuang, Ming L.; Phillips, Anthony M.; Katsargyri, Georgia-Evangel; ... Show more
Thumbnail
DownloadKatsargyri-2009-Optimally Controlling Hybrid Electric Vehicles using Path Forecasting.pdf (611.4Kb)
PUBLISHER_POLICY
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.
Metadata
Show full item record
Abstract
The paper examines path-dependent control of Hybrid Electric Vehicles (HEVs). In this approach we seek to improve HEV fuel economy by optimizing charging and discharging of the vehicle battery depending on the forecasted vehicle route. The route is decomposed into a series connection of route segments with (partially) known properties. The dynamic programming is used as a tool to quantify the benefits offered by route information availability.
Date issued
2009-07
URI
http://hdl.handle.net/1721.1/59409
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Journal
American Control Conference, 2009. ACC '09.
Publisher
Institute of Electrical and Electronics Engineers
Citation
Katsargyri, G.-E. et al. “Optimally controlling Hybrid Electric Vehicles using path forecasting.” American Control Conference, 2009. ACC '09. 2009. 4613-4617.
Version: Final published version
Other identifiers
INSPEC Accession Number: 10775880
ISBN
978-1-4244-4523-3
ISSN
0743-1619
Collections