Optimization of complex vehicle systems

Both basic and industrial research on the optimal design of complex systems is performed at the Department of Mechanical Engineering of the Politecnico di Milano. Highly efficient user driven design can be achieved by means of the procedures inherent with the optimisation of complex vehicle systems. The final aim of the researches is to define vehicle systems that are highly efficient i.e. offer the best compromise among used defined conflicting requirements. Integration of vehicle subsystems is also one important research topic. Multi Objective Programming (MOP) together with the theory of robust design are employed and developed. MOP represents a rigorous theoretical way for selecting parameters when a number of conflicting requirements on system's performances have to be satisfied. MOP allows to find the best trade-off among user-defined conflicting performance indices. Genetic algorithms and artificial neural networks (global approximation approach) are the employed algorithms to find the optimal solutions. The problem of choosing a single final design solution among a large set of Pareto-optimal solutions has been studied and solutions have been proposed. Two methods, the k-optimality and the more general k?? - optimality approach have been introduced. Several applications of the theories addressed above have been performed. Application fields were - synchroniser mechanisms (gearbox) - optimisation of shiftability - car suspension systems - optimisation of comfort, handling and road holding - off-road vehicle suspension system - optimisation of off-road locomotion and comfort - railway vehicle suspension systems - optimisation of wheel rail interaction and comfort - railway vehicle architecture - optimisation of the tare mass and payload - gear train of internal combustion engine - optimisation of tribology - design of composite material helical springs - optimisation of stiffness and dimensions (A). Only abstract (as above) is available from the conference proceedings. For the covering abstract of the conference see ITRD E212333.

  • Authors:
    • MASTINU, G
    • GOBBI, M
  • Publication Date: 2006

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01102616
  • Record Type: Publication
  • Source Agency: Swedish National Road and Transport Research Institute (VTI)
  • Files: ITRD
  • Created Date: Jun 16 2008 8:07AM