DocumentCode :
1458520
Title :
Simulation-based optimal sizing of hybrid electric vehicle components for specific combat missions
Author :
Fish, Scott ; Savoie, Troy B.
Author_Institution :
Inst. for Adv. Technol., Texas Univ., Austin, TX, USA
Volume :
37
Issue :
1
fYear :
2001
fDate :
1/1/2001 12:00:00 AM
Firstpage :
485
Lastpage :
488
Abstract :
The US Army and the Defense Advanced Research Projects Agency (DARPA) are currently supporting the development of conceptual military vehicle designs capitalizing on maturing technologies associated with hybrid electric vehicle propulsion and advanced electrical loads. Preliminary trade studies associated with these concepts often focus on determining the “best” mix of power system components to achieve the desired performance levels at a minimum overall impact on the vehicle. This paper describes an approach to this optimization through the use of vehicle performance simulation. By using simulation, one can address the complex relationship between the mission needs and the required subsystem performance in a dynamic environment. Results for three fictional mission sequences are provided to show how simulations can be used to insure that complex performance goals are met with minimum subsystem sizes. These minimum sizes can then form a baseline for further sizing constraints based on arrangements, availability, and other design considerations while minimizing overall design
Keywords :
electric propulsion; electric vehicles; electrothermal launchers; load (electric); military equipment; optimisation; pulsed power supplies; weapons; Defense Advanced Research Projects Agency; US Army; advanced electrical loads; combat missions; conceptual military vehicle designs; design considerations; dynamic environment; fictional mission sequences; hybrid electric vehicle components sizing optimisation; hybrid electric vehicle propulsion; sizing constraints; vehicle performance simulation; Batteries; Energy storage; Engines; Flywheels; Hybrid electric vehicles; Hybrid power systems; Marine animals; Power supplies; Power system modeling; Power system simulation;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.911883
Filename :
911883
Link To Document :
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