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
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