Large-Scale Design Space Exploration of SSA

2008 ◽  
pp. 211-230 ◽  
Author(s):  
Matthias Jeschke ◽  
Roland Ewald
Keyword(s):  
Large Scale ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Scale Design

Modeling and Design of Heavy Duty Hybrid Electric Vehicles

2005 ◽  
Author(s):  
Pierluigi Pisu ◽  
C. Hubert ◽  
N. Dembski ◽  
G. Rizzoni ◽  
John Josephson ◽  
...  
Keyword(s):  
Large Scale ◽  
Design Space Exploration ◽  
Design Space ◽  
Hybrid Electric Vehicles ◽  
Space Exploration ◽  
Performance Criteria ◽  
Heavy Duty ◽  
Hybrid Electric ◽  
Design Tradeoffs ◽  
Scale Design

A large scale design space exploration provides invaluable insight into vehicle design tradeoffs. Performing such a search requires designers to: • define appropriate performance criteria by which to judge the vehicles in the design space; • develop vehicle models to calculate the needed criteria; and • determine suitable velocity profiles as well as grade and terrain conditions to feed into the models. This paper presents a methodology for creating and conducting a design space exploration with particular application to heavy duty series hybrid electric-trucks.

Hybrid-Electric Powertrain Design Evaluation for Future Tactical Truck Vehicle Systems

2006 ◽  
Author(s):  
Pierluigi Pisu ◽  
Lorenzo Serrao ◽  
Codrin-Gruie Cantemir ◽  
Giorgio Rizzoni
Keyword(s):  
Large Scale ◽  
Design Space Exploration ◽  
Design Space ◽  
Combustion Engine ◽  
Space Exploration ◽  
Trade Offs ◽  
And Performance ◽  
Storage Batteries ◽  
Hybrid Electric Powertrain ◽  
Scale Design

The article presents the results of a large-scale design space exploration for two vehicles part of the Future Tactical Truck System (FTTS) family. A multi-objective optimization tool is presented, that allows designers to make appropriate trade-offs amongst different vehicle characteristics, on the basis of simulations run varying vehicle parameters over a broad range of values. Several powertrain architectures were taken into consideration for the Maneuver Sustainment Vehicle (MSV) and Utility Vehicle (UV). The architecture alternatives include the number of axles in the vehicle (2 or 3), the number of electric motors per axle (1 or 2), the type of internal combustion engine, the type and quantity of devices for energy storage (batteries, electrochemical capacitors or both together). A control strategy for energy management was developed to provide efficiency and performance. The control parameters are tunable and have been included into the design space exploration.

Many-Attribute Decision Making Using Iterative Attribute Subsets

2016 ◽  
Author(s):  
Laura Ziegler ◽  
Kemper Lewis
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Decision Problems ◽  
Trade Off ◽  
Current Design ◽  
Multi Attribute Decision Making

A unique set of cognitive and computational challenges arise in large-scale decision making, in relation to trade-off processing and design space exploration. While several multi-attribute decision making methods exist in the current design literature, many are insufficient or not fully explored for many-attribute decision problems of six or more attributes. To address this scaling in complexity, the methodology presented in this paper strategically elicits preferences over iterative attribute subsets while leveraging principles of the Hypothetical Equivalents and Inequivalents Method (HEIM). A case study demonstrates the effectiveness of the approach in the construction of a systematic representation of preferences and the convergence to a single ‘best’ alternative.

scholarly journals Exploration of a Capability-Focused Aerospace System of Systems Architecture Alternative with Bilayer Design Space, Based on RST-SOM Algorithmic Methods

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Zhifei Li ◽  
Dongliang Qin ◽  
Feng Yang
Keyword(s):  
Large Scale ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Systems Design ◽  
Mapping Method ◽  
System Of Systems ◽  
Systems Architecture ◽  
Rough Sets Theory ◽  
Performance Space

In defense related programs, the use of capability-based analysis, design, and acquisition has been significant. In order to confront one of the most challenging features of a huge design space in capability based analysis (CBA), a literature review ofdesign space explorationwas first examined. Then, in the process of an aerospace system of systems design space exploration, a bilayer mapping method was put forward, based on the existing experimental and operating data. Finally, the feasibility of the foregoing approach was demonstrated with an illustrative example. With the data mining RST (rough sets theory) and SOM (self-organized mapping) techniques, the alternative to the aerospace system of systems architecture was mapping from P-space (performance space) to C-space (configuration space), and then from C-space to D-space (design space), respectively. Ultimately, the performance space was mapped to the design space, which completed the exploration and preliminary reduction of the entire design space. This method provides a computational analysis and implementation scheme for large-scale simulation.

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