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Influence of the prediction horizon length of a PHEV energy management on fuel consumption

Author
Bader, B.; Torres , O.; Ortega, J.A.; Lux, G.; Romeral, L.
Type of activity
Presentation of work at congresses
Name of edition
26th Electric Vehicle Symposium 2012
Date of publication
2012
Presentation's date
2012-05
Book of congress proceedings
Proceedings of the 26th Electric Vehicle Symposium 2012
First page
2322
Last page
2329
URL
http://www.engineeringvillage.com/controller/servlet/Controller?SEARCHID=53a8e25213fae3bedf4e32prod1con2&CID=quickSearchDetailedFormat&DOCINDEX=1&database=67&format=quickSearchDetailedFormat&tagscope=&displayPagination=yes Open in new window
Abstract
he use of information about the future vehicle trajectory is especially advantageous for the energy management strategies of Plug-in Hybrid Electric Vehicles. This is based on the fact that for minimal fuel consumption the stored electric energy should be consumed until the end of the trip, if the trip length exceeds the electric range of the vehicle. Therefore, best results are achieved by an optimization of the torque distribution between both electric motor and combustion engine knowing the w...
Keywords
Algorithms, Electric vehicles, Energy management, Hybrid vehicles, Optimization, Trajectories, Uncertainty analysis
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

Participants