Combustion engine optimization: A multiobjective approach
Artikel i vetenskaplig tidskrift, 2010

To simulate the physical and chemical processes inside combustion engines is possible by appropriate software and high performance computers. For combustion engines a good design is such that it combines a low fuel consumption with low emissions of soot and nitrogen oxides. These are however partly conflicting requirements. In this paper we approach this problem in a multi-criteria setting which has the advantage that it is possible to estimate the trade off between the different objectives and the decision of the optimal solution is postponed until all possibilities and limitations are known. The optimization algorithm is based on surrogate models and is here applied to optimize the design of a diesel combustion engine.

Simulation-based optimization

Multiobjective optimization

Radial basis functions

Surrogate models

Combustion engine

Författare

Stefan Jakobsson

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

M Saif-Ul-Hasnain

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Robert Rundqvist

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Fredrik Edelvik

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Björn O Andersson

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Michael Patriksson

Chalmers, Matematiska vetenskaper, Matematik

Göteborgs universitet

M Ljungqvist

Volvo Cars

D Lortet

Volvo Group

K Wallesten

Volvo Group

Optimization and Engineering

1389-4420 (ISSN)

Vol. 11 4 533-554

Ämneskategorier

Beräkningsmatematik

Strömningsmekanik och akustik

DOI

10.1007/s11081-009-9090-6

Mer information

Senast uppdaterat

2018-11-26