New Method of Powertrain Reliability Test Correlated with Customer Field Usage

Abstract:

In order to study the reliability of the powertrain of a heavy-duty truck, a new method of enhancement test correlated with the customer usage based on the typical highway in mountain area(THMA) is presented, which can combine customer usage conditions with the enhancement test on THMA to avoid the blindness of the previous powertrain reliability test. Test data are collected on the actual customer roads and THMA, and the combined evenly divided matrix of the drive shaft torque to the rotational speed is used to obtain the cumulative energy distribution loading spectrum. The total cumulative energy of the customer roads and each customer under the failure probability of 90% is calculated by combining the customer survey according to the straight line equation of the Weibull distribution probability paper and the mathematical model of the powertrain cumulative energy, and then the Monte-Carlo method is used to simulate the total energy output of the powertrain of 90% customer. Optimization calculation is conducted on the cumulative energy of THMA and 90% customer to obtain the enhancement coefficient and reliability test procedures of THMA so as to provide an important basis for scientific evaluation and assessment of the powertrain reliability.

• Periodical: Advanced Materials Research (Volumes 479-481)
• Pages: 1013-1017
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.479-481.1013
• Online since: February 2012
• Authors: Yu Zhuo Men, Hai Bo Yu, Yu Han, Hua Wang, Liang Xu
• Keywords: 90% Customer, Cumulative Energy, Enhancement Coefficient, Powertrain, Reliability

References

[1] M.W. Muddiman and G.R. Moore, (UltiTech Corporation, USA 2003)

[2] D.F. Ensor and C. Cook: Symposium on International Automotive Technology. (Pune, India 2007), p.794

[3] D.F. Ensor, Journal of the Engineering Integrity Society. Issue 6, (1999)

[4] Y.Z. Men, X.S. Li and H.B. Yu: Chinese Journal of Mechanical Engineering. Vol. 44 (2008), p.228 (In Chinese)

[5] M.Xie, Y. Tang and T. Goh: Reliab Eng Syst Safe. Vol. 76 (2002), p.281

[6] H. Kumamoto, K. Tanaka and K. Inoue: IEEE Trans. Reliabilit y, Vol. 36 (1987), p.66

[7] R. Jiang and D.N.P. Murthy: Reliab Eng Syst Safe, Vol. 47 (1995), p.195

[8] A. Baca: IEEE. Trans. Rcliability, Vol. 42 (1993), p.647