Optimization of Automotive Powertrain Based on Genetic Algorithm

Article Preview

Abstract:

In order to improve the performance of the cars, an optimization algorithm of transmission parameters that take into account automotive dynamic and fuel economy based on genetic algorithm was presented in the paper. Firstly, the origin underway accelerate time was chose as the dynamic target function, and the 100 kilometers fuel consumption of 15-cycle driving was used to evaluate fuel economy, and the two objectives functions were putted into a comprehensive objective function. Then, the constraints were established using the requirement of automobile power performance and transmission design, and the genetic algorithm was adopted to do the optimization. At last, a simulation experiment was design to confirm the validity and effectiveness of the proposed method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2426-2430

Citation:

Online since:

May 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Plotkin. Steven E, Greene. David, in: Energy Policy, Vol. 12(14), (1997), pp.179-188.

Google Scholar

[2] Zhangsong Zhan, Zhengjun Yang, Xingchun Liu, in: design, compute and research, Vol. 3, (2007), pp.17-20. (In Chinese).

Google Scholar

[3] Weidong Luo, Wangbiao Qiu, in: modern machine, Vol. 2, (2008), pp.32-34. (In Chinese).

Google Scholar

[4] Hong Zhang: Matching Optimization of Powertrain System Parameters for Heavy Vehicle, Shan Dong University of Technology, (2012). (In Chinese).

Google Scholar

[5] Zhisheng Yu: Automobile Theory. (2007). (In Chinese).

Google Scholar

[6] Fonseea C, Fleming P, in: Proceedings of the Fifth International Conference on Genetie Algoritlulis, (1993), pp.416-423.

Google Scholar