A study on parameter optimization of parallel hydraulic hybrid vehicle

Author

Liu, Tao ; Zhang, Xiao-Hui ; Yang, Wen-Li ; Fan, Guo-Quan ; Wang, Yun-Fei ; Jiang, Ji-Hai

fYear

2010

fDate

26-28 May 2010

Firstpage

4426

Lastpage

4429

Abstract

The parameter optimization for parallel hydraulic hybrid vehicle(PHHV) system has a significant impact on the vehicle dynamic performance, fuel economy and emission. In this article, several factors affecting system efficiency are used as the objective functions, system parameters are used as the independent variables, and the multi-objective optimization process is compiled in MATLAB. The process takes the ant colony algorithm as the optimization method, obtains the best system parameters through computing, and verifies the accuracy of optimization results through simulation.

Keywords

hybrid electric vehicles; hydraulic systems; optimisation; vehicle dynamics; MATLAB; ant colony algorithm; emission; fuel economy; multiobjective optimization; objective function; parallel hydraulic hybrid vehicle system; parameter optimization; vehicle dynamic performance; Acceleration; Ant colony optimization; Computational modeling; Design optimization; Fuel economy; Laboratories; MATLAB; Power transmission; Research and development; Vehicle dynamics; Ant colony algorithm; Hydraulic hybrid vehicle; Parameter optimization; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498339

Filename

5498339