Optimally Controlling Hybrid Electric Vehicles using Path Forecasting
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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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
American Control Conference, 2009. ACC '09.
Institute of Electrical and Electronics Engineers
Katsargyri, G.-E. et al. “Optimally controlling Hybrid Electric Vehicles using path forecasting.” American Control Conference, 2009. ACC '09. 2009. 4613-4617.
Final published version
INSPEC Accession Number: 10775880