DocumentCode
2847337
Title
Optimal energy management for a flywheel-based hybrid vehicle
Author
van Berkel, K. ; Hofman, T. ; Vroemen, B. ; Steinbuch, M.
Author_Institution
Dept. of Mech. Eng., Eindhoven Univ. of Tech- nology, Eindhoven, Netherlands
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
5255
Lastpage
5260
Abstract
This paper presents the modeling and design of an optimal Energy Management Strategy (EMS) for a flywheel-based hybrid vehicle, that does not use any electrical motor/generator, or a battery, for its hybrid functionalities. The hybrid drive train consists of only low-cost components, such as a flywheel module and a continuously variable transmission. This hybrid drive train is characterized by a relatively small energy capacity (flywheel) and discrete shifts between operation modes, due to the use of clutches. The main design criterion of the optimized EMS is the minimization of the overall fuel consumption, over a pre-defined driving cycle. In addition, comfort criteria are formulated as constraints, e.g., to avoid high-frequent shifting between driving modes. The criteria are used to find the optimal sequence of driving modes and the generated engine torque. Simulations show a fuel saving potential of 20% to 39%, dependent on the chosen driving cycle.
Keywords
clutches; energy management systems; engines; flywheels; minimisation; power transmission (mechanical); EMS optimization; clutches; continuously variable transmission; discrete shifts; driving modes; flywheel module; flywheel-based hybrid vehicle; fuel consumption minimization; fuel saving potential; generated engine torque; high-frequent shifting; hybrid drive train; low-cost components; main design criterion; operation modes; optimal energy management strategy; predefined driving cycle; small-energy capacity; Engines; Fuels; Ice; Medical services; Optimization; Torque; Vehicles; Automotive; Modeling and Simulation; Optimal control;
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.2011.5990820
Filename
5990820
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