DocumentCode :
634996
Title :
State of charge management for plug in hybrid electric vehicles with uncertain distance to recharge
Author :
Manzie, Chris ; Dewangan, Prakash ; Corde, Gilles ; Grondin, Olivier ; Sciarretta, A.
Author_Institution :
Dept. of Mech. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
The state of charge management of plug in hybrid vehicles differs from their non-plug in counterparts through the utilisation of a charge depleting mode of operation. Several studies have shown that a blended mode of charge depletion holds fuel economy advantages over a charge depletion and charge sustaining combination, however these approaches assume knowledge of the total journey distance. Here, this assumption is relaxed and the state of charge trajectory recalculated online using a weaker assumption that only a probability distribution accumulated over past trips is available. The benefits relative to other potential strategies are assessed in terms of relative fuel consumption and tailpipe CO2 emissions.
Keywords :
battery charge measurement; battery management systems; fuel economy; hybrid electric vehicles; probability; charge depleting mode; charge management state; fuel consumption; fuel economy; plug in hybrid electric vehicles; probability distribution; state of charge trajectory; tailpipe CO2 emissions; Batteries; Electronic countermeasures; Fuels; Mechanical power transmission; Probability distribution; Trajectory; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
Type :
conf
DOI :
10.1109/ASCC.2013.6606064
Filename :
6606064
Link To Document :
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