DocumentCode
3481931
Title
An energy management strategy for a hydraulic hybrid vehicle
Author
Deppen, T.O. ; Alleyne, Andrew G. ; Stelson, K. ; Meyer, Jorg
Author_Institution
Mech. Sci. & Eng. Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2012
fDate
27-29 June 2012
Firstpage
1335
Lastpage
1341
Abstract
In this study we present a procedure for the design and implementation of a control strategy to optimize energy use within a light weight hydraulic hybrid passenger vehicle. The hydraulic hybrid utilizes a high pressure accumulator for energy storage which has superior power density than conventional battery technology. This makes fluid power attractive for urban driving applications in which there are frequent starts and stops and large startup power demands. The proposed design method improves the powertrain´s operational efficiency by finding the best balance between optimizing individual component efficiencies. The optimization problem was implemented using the model predictive control framework because it requires no future information about the drive cycle in its design. Hardware-in-the-loop experiments using an electro-hydraulic powertrain testbed were then used to validate the dynamic model and control performance.
Keywords
electrohydraulic control equipment; energy management systems; energy storage; hybrid electric vehicles; hydraulic systems; power transmission (mechanical); predictive control; control performance validation; control strategy; design method; drive cycle; dynamic model validation; electro-hydraulic powertrain testbed; energy management strategy; energy storage; energy usage optimization; fluid power; hardware-in-the-loop experiment; high pressure accumulator; hydraulic hybrid vehicle; light weight hydraulic hybrid passenger vehicle; model predictive control framework; powertrain operational efficiency; urban driving application; Engines; Load modeling; Mechanical power transmission; Predictive models; Torque; Valves; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2012
Conference_Location
Montreal, QC
ISSN
0743-1619
Print_ISBN
978-1-4577-1095-7
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2012.6315396
Filename
6315396
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