Simulation Study of Optimal Matching for Vehicle Power Train

Author

Cheng Fangxiao ; Liu Xudong ; Lin Xiaomei

Author_Institution

Coll. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

378

Lastpage

381

Abstract

The paper mainly studies the use of genetic algorithm for the best match of automotive power train parameters, in order to improve the performance of the car. The author mainly explains the optimized theory and the method of using it in writing the computer program. And moreover, the author discusses the problems occurring in the object and gives the methods to solve them. A computer simulation program is developed. The result of simulation is analyzed.

Keywords

automotive engineering; digital simulation; genetic algorithms; power transmission (mechanical); automotive power train parameters; car; computer simulation program; genetic algorithm; optimal matching simulation study; optimized theory; vehicle power train; Automotive engineering; Computer simulation; Design methodology; Economic indicators; Engines; Fuel economy; Genetic algorithms; Optimal matching; Power generation economics; Vehicle dynamics; genetic; optimal matching; power train;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.626

Filename

5459491