DocumentCode :
2852066
Title :
Heavy vehicle fuel economy improvement using ultracapacitor power assist and preview-based MPC energy management
Author :
Schepmann, S. ; Vahidi, A.
Author_Institution :
Dept. of Mech. Eng., Clemson Univ., Clemson, SC, USA
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
2707
Lastpage :
2712
Abstract :
A heavy hybrid vehicle is considered in which an electric motor and ultracapacitor energy storage are used in a parallel hybrid configuration as a power assist to improve fuel economy. The ultracapacitor\´s high power capabilities make it a good choice for this application. The optimal control technique of Dynamic Programming (DP) is applied to obtain the "best possible" fuel economy for the vehicle over the driving cycle under pointwise-in-time hard system constraints. Attainable fuel economy improvements are illustrated using a real-time implementable Model Predictive Control (MPC) method using a simple model for predicting future torque demands. The incorporation of simulated telematic future information is also investigated to further improve the the fuel economy of the MPC method close to the DP-calculated maximum.
Keywords :
dynamic programming; electric motors; energy management systems; fuel economy; hybrid electric vehicles; optimal control; predictive control; supercapacitors; torque; dynamic programming; electric motor; heavy hybrid vehicle; heavy vehicle fuel economy improvement; model predictive control; optimal control; preview-based MPC energy management; torque; ultracapacitor energy storage; ultracapacitor power; Engines; Fuel economy; Predictive models; Supercapacitors; System-on-a-chip; Torque; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
ISSN :
0743-1619
Print_ISBN :
978-1-4577-0080-4
Type :
conf
DOI :
10.1109/ACC.2011.5991098
Filename :
5991098
Link To Document :
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