Study on Optimization Matching Algorithm for Automotive Powertrain

Feng Ping Cao; Li Fa Zhou; Yong Di Wang

doi:10.4028/www.scientific.net/AMM.635-637.1890

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637Study on Optimization Matching Algorithm for...

Study on Optimization Matching Algorithm for Automotive Powertrain

Abstract:

In order to reduce fuel consumption and ensure dynamic performance of the car, an automotive powertrain optimization algorithm was presented in the paper. Firstly, the evaluation index of automobile dynamic performance and fuel economy were introduced. Then, the objective function was built, and the transmission and main reducer transmission ratios were designed as variables, and parameters of the vehicle transmission system were optimized by using the genetic algorithm. Finally, a vehicle simulation model by SimulationX software was established, and the power and economy performance before and after optimization were compared and analyzed.

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Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

1890-1894

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.1890

Citation:

Cite this paper

Online since:

September 2014

Authors:

Feng Ping Cao*, Li Fa Zhou, Yong Di Wang

Keywords:

Dynamic Performance, Fuel Economy, Genetic Algorithm (GA), Optimization Analysis

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* - Corresponding Author

References

[1] http: /www. chinairn. com/news/20140211/085433111. html.

Google Scholar

[2] Nobuo Iwai. Analysis on fuel economy and advanced of hybrid vehicles, JSAE Review, 1999, 4(2): 3-11.

Google Scholar

[3] Howard E. China, William L. Fedewa, and Jone E. Mahoney. An A nalytical Study of Transmission Modification as Related to Vehicle Performance and Economy. SAE Paper No. 770418.

Google Scholar

[4] Zhang Tiezhu, Zhang Hongxin. Automotive safety, energy saving and environmental protection[M]. Beijing: National Defense Industry Press, 2004, 159-160. (in Chinese).

Google Scholar

[5] Yu Zhisheng. Automobile theory[M]. Beijing: China Machine Press, 2009. (in Chinese).

Google Scholar

[6] Lin Xuedong. Automotive power matching technology[M]. Beijing: China WaterPower Press, 2010. (in Chinese).

Google Scholar

[7] Cheng Fangxiao. Multi-objective optimization of automotive powertrain based on adaptive maintain diversity genetic algorithm[D]. Changchun: jilin university, 2011 . (in Chinese).

Google Scholar

[8] Liu Yangfang. Solution and instance of SimulationX: a multidisciplinary field of system dynamics modeling and simulation [M]. Beijing: China Machine Press, 2010. (in Chinese).

Google Scholar