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
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