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
Author
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 4 533-554Subject Categories
Computational Mathematics
Fluid Mechanics and Acoustics
DOI
10.1007/s11081-009-9090-6