DocumentCode :
1721354
Title :
Predictive control for Plug-in Microturbine powered Hybrid Electric Vehicles using telemetry information
Author :
Geng, Bo ; Mills, James K. ; Sun, Dong
Author_Institution :
Mech. & Biomed. Eng., City Univ. of Hong Kong, Kowloon, China
fYear :
2011
Firstpage :
1468
Lastpage :
1473
Abstract :
In this paper, the energy management control problem is studied for a Microturbine powered Plug-in Hybrid Electric Vehicle (MT PHEV). A predictive on/off controller is proposed to deplete the battery state of charge (SOC) at the end of the driving cycle. The predictive on/off controller depends on predictive driving information such as the remaining driving distance, the average DC bus energy demand per mile and a defined time correction factor, which can be estimated by the onboard historical vehicle data and the GPS navigation system. The optimal solution derived by the dynamic programming (DP) strategy is used as an optimal benchmark. A case study performed in the Matlab/Simulink environment shows that the proposed predictive on/off control results in 31.4%-48.0% less driving cost than the traditional on/off control, and requires only 0.38%-4.31% more driving cost compared with the DP strategy.
Keywords :
Global Positioning System; dynamic programming; energy management systems; hybrid electric vehicles; on-off control; predictive control; telemetry; GPS navigation system; MT PHEV; Matlab/Simulink environment; battery state of charge; dynamic programming strategy; energy management control problem; microturbine powered plug-in hybrid electric vehicle; onboard historical vehicle data; predictive driving information; predictive on/off controller; telemetry information; Batteries; Electricity; Energy management; Fuels; Hybrid electric vehicles; System-on-a-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
Conference_Location :
Karon Beach, Phuket
Print_ISBN :
978-1-4577-2136-6
Type :
conf
DOI :
10.1109/ROBIO.2011.6181497
Filename :
6181497
Link To Document :
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