Combustion engine optimization: A multiobjective approach
Journal article, 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


Stefan Jakobsson

Fraunhofer-Chalmers Centre

M Saif-Ul-Hasnain

Fraunhofer-Chalmers Centre

Robert Rundqvist

Fraunhofer-Chalmers Centre

Fredrik Edelvik

Fraunhofer-Chalmers Centre

Björn O Andersson

Fraunhofer-Chalmers Centre

Michael Patriksson

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

M Ljungqvist

Volvo Cars

D Lortet

Volvo Group

K Wallesten

Volvo Group

Optimization and Engineering

1389-4420 (ISSN) 15732924 (eISSN)

Vol. 11 4 533-554

Subject Categories

Computational Mathematics

Fluid Mechanics and Acoustics



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