Title :
Optimal design of energy storage systems for hybrid vehicle drivetrains
Author :
Hofman, T. ; Hoekstra, D. ; van Druten, R.M. ; Steinbuch, M.
Author_Institution :
Technische Univ. Eindhoven, Netherlands
Abstract :
Current hybrid drivetrain simulation packages are based on discrete (existing) system components and predefined system structures. Optimization of the performance of the hybrid drivetrain is then based on finding the most efficient control strategy of the primary and secondary power source and finally comparing the performance of the different candidate drive-trains. In this paper, the secondary power source components, part of the energy storage system (S), are modeled continuously, i.e., scalable to power and/or energy capacity needs. In this way, the size of the components of S can be added as an optimization parameter to a hybrid drivetrain design procedure.
Keywords :
energy storage; hybrid electric vehicles; SQP optimization; barrier function; control strategy; discrete system component; energy storage system; hybrid vehicle drivetrain; multiobjective design; optimal design; penalty function; predefined system structure; primary power source; secondary power source; simulation package; Batteries; Design optimization; Energy storage; Internal combustion engines; Optimal control; Packaging; Power system modeling; Software packages; Vehicle driving; Vehicle safety; Penalty and Barrier functions; SQP optimization; energy storage; hybrid drivetrain; multi-objective design problem; scalable model;
Conference_Titel :
Vehicle Power and Propulsion, 2005 IEEE Conference
Print_ISBN :
0-7803-9280-9
DOI :
10.1109/VPPC.2005.1554535