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
Link To Document :
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