Title :
Electrical drive train modeling for model predictive control of DC-DC converters in fuel cell vehicles
Author :
Sagert, Conrad ; Bender, Frank A. ; Sawodny, Oliver
Author_Institution :
Insitute for Syst. Dynamics, Univ. of Stuttgart, Stuttgart, Germany
Abstract :
High-power DC-DC converters are key components in the drive train of hybrid fuel cell vehicles as they control the power flow between fuel cell and battery. Due to the complexity of the drive train interfacing with the converter and the wide range of operating conditions, control design for such converters requires a detailed analysis of the drive train and its various dynamics. In this work, an analytical model of the electrical drive train will be set forth. After validation against a circuit simulation, the model will be used for derivation of a Model Predictive Control scheme.
Keywords :
DC-DC power convertors; electric drives; fuel cell vehicles; hybrid electric vehicles; load flow control; predictive control; DC-DC converter; electrical drive train modeling; hybrid fuel cell vehicle; model predictive control scheme; power flow control; Analytical models; Batteries; DC-DC power converters; Frequency measurement; Fuel cells; Induction motors; Integrated circuit modeling;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7172010
