Title :
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
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;
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
DOI :
10.1109/ICMTMA.2010.626
