Model Tuning by Stochastic Methods and Optimization of Thermodynamic Parameters and Component Sets of a Cooling System The Virtual Vehicle - Research Center GmbH

Format:

Conference/Event

Author/Creator:

Puntigam, W., author.

Conference Name:

SAE World Congress & Exhibition (2007-04-16 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2007

Summary:

Shortening the development time in the automotive industry with simultaneous rise of complexity, efficiency and product variety requires more efficient, faster, and optimized simulation methods. In this paper we focus on the computational design of optimized cooling packages for vehicles in a very early stage of the development process. We propose a stochastic method for tuning simulation models which we optimize with respect to minimized operating and material costs. A Genetic Algorithm - Gradient Search hybrid is used for this searching in the design space

Notes:

Vendor supplied data

Publisher Number:

2007-01-0593

Access Restriction:

Restricted for use by site license