Title :
Integrated optimization of the powermanagement system of a hybrid electric powertrain system
Author :
Marx, Matthias ; Söffker, Dirk
Author_Institution :
Dynamics & Control, Univ. of Duisburg-Essen, Duisburg, Germany
Abstract :
This paper discusses the powermanagement optimization of hybrid electric powertrains. Additionally to known approaches the optimization is realized using a loop including time-domain simulations and evaluation of the dynamic behavior by performance parameters. The method is also suitable for online implemented algorithms for nonlinear systems and can be online-adapted and thus be operated independent from predefinded assumptions. The optimization is applied on a fuel cell/supercap-based hybrid electric powertrain system for a given powermanagement structure and a known or expected load profile. The algorithms are optimized and the result is compared to comparative studies. It becomes clear that significant improvement can be achieved.
Keywords :
fuel cell vehicles; hybrid electric vehicles; power system management; supercapacitors; dynamic behavior; expected load profile; fuel cell; hybrid electric powertrain system; integrated optimization; power management system; supercapacitors; time-domain simulations; Control systems; Fuel cells; Fuels; Heuristic algorithms; Mechanical power transmission; Optimization; Vehicles;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2011 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-61284-248-6
Electronic_ISBN :
Pending
DOI :
10.1109/VPPC.2011.6043034