Browse Publications Technical Papers 2007-01-0593
2007-04-16

Model Tuning by Stochastic Methods and Optimization of Thermodynamic Parameters and Component Sets of a Cooling System 2007-01-0593

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.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Benefiting from Sobol Sequences Experiment Design Type for Model-based Calibration

2015-01-1640

View Details

JOURNAL ARTICLE

Probabilistic Reanalysis Using Monte Carlo Simulation

2008-01-0215

View Details

JOURNAL ARTICLE

A Simulation and Optimization Methodology for Reliability of Vehicle Fleets

2011-01-0725

View Details

X