DocumentCode :
1794657
Title :
Toward On-Line Optimized Power Management for a Series Hybrid Hydraulic Powertrain
Author :
Karbaschian, Mohammad Ali ; Soffker, Dirk
Author_Institution :
Dept. of Dynamics & Control, Univ. of Duisburg-Essen, Duisburg, Germany
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this contribution, an instantaneously optimized power management algorithm using a two-level controller is introduced. The adaptive controller is applied for realization of power demand for the power management. Moreover, a model predictive controller-based power management is developed to be compared with the first one. Finally, both power management algorithms are compared to a globally optimized power management serves as benchmark reference. The power management algorithms are applied to a series hybrid hydraulic powertrain system. Control variables are high pressure in hydraulic line as well as motor/pump displacement ratio. Advantages with respect to the improvement of vehicle performance as well as vehicle efficiency can be observed. Comparing both strategies, it can be stated that the introduced new instantaneously optimized power management algorithm has better performance than the MPC-based power management, while efficiency of them is the same.
Keywords :
adaptive control; electric vehicles; hydraulic systems; power transmission (mechanical); predictive control; MPC-based power management; adaptive controller; benchmark reference; control variables; globally-optimized power management; hydraulic line; instantaneously-optimized power management algorithm; model predictive controller-based power management; motor-pump displacement ratio; online optimized power management; power demand; series hybrid hydraulic powertrain system; two-level controller; vehicle efficiency; vehicle performance improvement; Engines; Fuels; Heuristic algorithms; Mechanical power transmission; Power distribution; Prediction algorithms; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2014 IEEE
Conference_Location :
Coimbra
Type :
conf
DOI :
10.1109/VPPC.2014.7007145
Filename :
7007145
Link To Document :
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