DocumentCode
2847643
Title
Battery swapping modularity design for plug-in HEVs using the augmented lagrangian decomposition method
Author
Shifang Li ; Kolmanovsky, I.V. ; Ulsoy, A. Galip
Author_Institution
Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
953
Lastpage
958
Abstract
A distributed supervisory controller is proposed to achieve battery component swapping modularity (CSM) for a plug-in hybrid electric vehicle (PHEV). The CSM permits to distribute a part of the controller to the battery module such that the PHEV can use a range of batteries while providing optimal fuel economy. A feedback based controller is proposed to facilitate battery CSM design. The control strategy is to optimize fuel economy and driving performance in terms of wheel power tracking error, while smoothing engine power and sustaining battery state of charge. The distributed controller with battery CSM is obtained by solving a bi-level optimization problem via the augmented lagrangian decomposition method. The simulation results demonstrate that battery CSM can be achieved without compromising fuel economy.
Keywords
battery powered vehicles; distributed control; engines; feedback; fuel economy; hybrid electric vehicles; optimisation; PHEV; augmented Lagrangian decomposition method; battery CSM design; battery component swapping modularity design; battery module; battery state of charge; bilevel optimization problem; distributed supervisory controller; engine power smoothing; feedback-based controller; optimal fuel economy; plug-in HEV; plug-in hybrid electric vehicle; wheel power tracking error; Batteries; Engines; Fuels; Optimization; System-on-a-chip; Vehicles; Wheels;
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.2011.5990838
Filename
5990838
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