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Integrated design and optimization of a complex nonlinear hybrid electric powertrain including simulations in time domain
Author(s) -
Marx Matthias,
Sacher Oliver,
Söffker Dirk
Publication year - 2011
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201110401
Subject(s) - powertrain , electric vehicle , nonlinear system , computer science , domain (mathematical analysis) , control engineering , controller (irrigation) , automotive engineering , hybrid system , time domain , engineering , control theory (sociology) , power (physics) , torque , control (management) , mathematics , mathematical analysis , agronomy , physics , quantum mechanics , machine learning , artificial intelligence , biology , thermodynamics , computer vision
This paper deals with the design and optimization of hybrid electric powertrains. Therefore basic relations of the behavior of hybrid electric powertrain systems and the controller design are introduced. Based on models of typical hybrid electric system components principal optimization approaches with respect to performance parameters like efficiency, availability, lifetime, etc. are shown. Hereby an optimization algorithm based on a global optimization technique is applied. Using the example of a fuel cell based hybrid electric powertrain system the approaches are introduced and compared to each using time‐domain simulations integrated in optimization algorithms. The results show that both approaches are appropriate to design the system as well as the controllers. (© 2011 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)