Combustion engine optimization: a multiobjective approach

被引：4

作者：

Jakobsson, Stefan ^{[1
]}

Saif-Ul-Hasnain, Muhammad ^{[1
]}

Rundqvist, Robert ^{[1
]}

Edelvik, Fredrik ^{[1
]}

Andersson, Bjorn ^{[1
]}

Patriksson, Michael ^{[2
]}

Ljungqvist, Mattias ^{[3
]}

Lortet, Dimitri ^{[4
]}

Wallesten, Johan ^{[4
]}

机构：

[1] Fraunhofer Chalmers Ctr, Gothenburg, Sweden

[2] Chalmers Univ Technol, S-41296 Gothenburg, Sweden

[3] Volvo Car Corp, Gothenburg, Sweden

[4] Volvo Powertrain Corp, Gothenburg, Sweden

来源：

OPTIMIZATION AND ENGINEERING | 2010年 / 11卷 / 04期

关键词：

Combustion engine; Simulation-based optimization; Multiobjective optimization; Surrogate models; Radial basis functions; ALGORITHM;

D O I：

10.1007/s11081-009-9090-6

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：533 / 554

页数：22