• DocumentCode
    3572214
  • Title

    Multi-Objective Optimization Design of Vehicle Transmission System Based on Pareto Optimal Theory

  • Author

    Qin-Man, Fan

  • Author_Institution
    Dept. of Traffic Eng., Huaiyin Inst. of Technol., Huaiyin, China
  • Volume
    3
  • fYear
    2009
  • Firstpage
    198
  • Lastpage
    201
  • Abstract
    Vehicle transmission system parameter matching is very important for improving the performance of vehicle. Applying Pareto optimal theory to the multi-objective optimization design of the vehicle transmission system, a multi-objective optimization model of vehicle is built regarding dynamic performance, fuel economy and emission performance of vehicle as sub-objective functions, and the transmission ratio of the system as design variable. With case study of certain car, it gains the Pareto optimal solution set of the transmission system by calculating and realizes the optimum matching between engine and transmission system based on optimization software of iSIGHT and NSGA-II algorithm. The results prove the feasibility of the research methods used in this article in optimization for complex system with multi-parameters and multi-objectives.
  • Keywords
    Pareto optimisation; automotive engineering; vehicles; NSGA-II algorithm; Pareto optimal theory; iSIGHT; multiobjective optimization; parameter matching; vehicle transmission system; Constraint optimization; Design optimization; Engines; Fuel economy; Genetic algorithms; Intelligent vehicles; Optimization methods; Pareto optimization; Software algorithms; Vehicle dynamics; NSGA-II; Pareto optimal; multi-objective optimization; transmission system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.514
  • Filename
    5287933