Title :
Distance Until Charge prediction and fuel economy impact for Plug-in Hybrid Vehicles
Author :
Naghshtabrizi, P. ; Kristinsson, J. ; Hai Yu ; McGee, R.
fDate :
June 29 2011-July 1 2011
Abstract :
For a Plug-in Hybrid-Electric Vehicle (PHEV) a close to linear battery depletion profile is near optimal in terms of fuel economy, given that the driven Distance Until Charge (DUC) is known. However the intended driven distance until charge is not always known. We propose a pattern recognition method to predict the DUC based on the key-on time and day observations and the on-board stored data in vehicle. We review the energy management strategy and we show a fuel economy improvement despite prediction errors.
Keywords :
battery powered vehicles; energy management systems; fuel economy; hybrid electric vehicles; pattern recognition; DUC prediction; PHEV; Plug-in Hybrid-Electric Vehicle; close to linear battery depletion profile; distance until charge prediction; energy management strategy; fuel economy impact; key-on time and day observation; onboard stored vehicle data; pattern recognition method; Batteries; Estimation; Fuels; Iron; System-on-a-chip; Training; Vehicles;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991117