A New Computational Model about Vehicle’s Sliding Resistance Coefficients

Hong Liang Lin; Qiang Yu; Xue Li Zhang

doi:10.4028/www.scientific.net/AMR.228-229.60

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 228-229A New Computational Model about Vehicle’s Sliding...

A New Computational Model about Vehicle’s Sliding Resistance Coefficients

Abstract:

Vehicle’s sliding resistance mainly includes rolling resistance, air drag resistance and friction within the transmission, wheel bearings and other related components. Among those, rolling resistance and air drag always exist whenever vehicle is running, so they have great influence on vehicle’s dynamic performance and fuel economy. Therefore, it is important to determine vehicle’s rolling resistance coefficient and air drag coefficient quickly and accurately in order to operate vehicle properly and reduce the vehicle’s fuel consumption. Combining theoretical analysis with experimental verification, calculation model based on road coasting test was given by means of least squares principle. And through which vehicle rolling resistance coefficient and air drag coefficient were determined easily. Then by using the test data from some Minibus, the vehicle's rolling resistance coefficient and air drag coefficient are calculated according to established model. The computation result shows that rolling resistance coefficient is a linear function of the speed and the air drag coefficient is constant. Finally, the analysis shows that the calculation model is simple, precise and useful.

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Periodical:

Advanced Materials Research (Volumes 228-229)

Pages:

60-65

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.228-229.60

Citation:

Cite this paper

Online since:

April 2011

Authors:

Hong Liang Lin, Qiang Yu, Xue Li Zhang

Keywords:

Computational Model, Resistance Coefficient, Sliding Test, Vehicle

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References

[1] Chen Y. S., Yu Q.: Automobile Dynamics (4th Edition). (China: Tsinghua University Press and German: Springer, 2009).

Google Scholar

[2] Li L., Wang F.: Advanced Motion Control and Sensing for Intelligent Vehicles (German: Springer, 2007).

Google Scholar

[3] Wang F., Mirchandani, P. and Wang Z.: IEEE Intelligent Systems, Vol. 17 (2002) No. 6, p.72.

Google Scholar

[4] Zhao H., Cheung C. S. and Hung W. T.: Journal of Combustion Science and Technology, Vol. 5 (1999) No. 1, p.101.

Google Scholar

[5] Gao Y. S., Li X. H. and Huang M. et al: Automobile Technology, Vol. 28 (2008) No. 4, p.27.

Google Scholar

[6] Lin H. L. and Yu Q.: Proc. 2010 International Conference on Computer and Computational Intelligence (Nanning, China, December 24-26, 2010). Vol. 2, p.250.

Google Scholar

[7] Rakha H., Lucic I.: Journal of Transportation Engineering, Vol. 127 (2001) No. 5, p.418.

Google Scholar

[8] Han Z.Q., LI L.: Automotive Engineering, Vol. 24 (2002) No. 4, p.364.

Google Scholar

[9] Jung, C. R., Kelber, C. R., Proc. 2004 IEEE Intelligent Vehicles Symposium (2004). p.891.

Google Scholar

[10] Kuhner K. D., Proc. 2008 IEEE International Conference on Industrial Technology (Chengdu, China, April 21-24, 2008). p.1.

Google Scholar