Evolutionary Design Optimization on Automated Mechanical Transmission of Automobile

Abstract:

Automotive transmission is one of the key components of automotive, and the design quality of transmission can affect the driving performance, fuel consumption and serve life of vehicle greatly, therefore it is very important to design planetary transmission of vehicle. Genetic algorithm can seek parallelized different regions of the whole parameter space in the progress of its replacement, and make a progress towards being possible to find optimum global solution. The planetary transmission is designed by the minimum volume of objective optimization, and considering loading property and material quality, the constraints are set up. Combination of genetic algorithm and SQP is adopted to solve optimization model. So the AMT have a more compact structure. and vehicle passing performance can be improved and vehicle equipment mass be reduced.

• Periodical: Advanced Materials Research (Volumes 156-157)
• Pages: 562-565
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.156-157.562
• Online since: October 2010
• Authors: Ji Bin Ding
• Keywords: Automated Mechanical Transmission, Evolutionary Algorithm (EA), Optimal Model

References

[1] P. Wang, M.Y. Hou, Mechanical Design Optimization. China: Machinery Industry Press, (2000).

[2] Wang Xiaoping, Theory, applying and software of Genetic Algorithm. Xi'an: Xi'an Jiaotong University Press, (2002).

[3] T.T.H. Ng, G.S.B. Leng, Department of Mechanical Engineering, National University of Singapore. Singapore, 2005. 5, pp.439-445.

[4] Chang Lu, Study on Main Technical Parameters of Vehicle Powertrain for Mine Dumping Truck, Coal Mine Machinery, 2009. 2, pp.89-93.

[5] S. A. Zhao, G. J. Huang, Journal of Baise University, 2006. 6, pp.124-126.

[6] S. Gao , Microcomputer Applications, 2002. 8, pp.28-31.