Browse > Article
http://dx.doi.org/10.9766/KIMST.2018.21.5.614

A Study on Endurance Test Mode Generation of Powertrain System Using Multi-Objective Optimization  

Lee, Jeonghwan (The 5th Research and Development Institute, Agency for Defense Development)
Sung, Younghwa (The 5th Research and Development Institute, Agency for Defense Development)
Lee, Byoungyong (The 5th Research and Development Institute, Agency for Defense Development)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.21, no.5, 2018 , pp. 614-622 More about this Journal
Abstract
Based on army operating road profile, the endurance test of military vehicle aims to reproduce the similar loading conditions with mixture of proving ground tracks. It is so called as endurance test mode and its optimal generation is important to meet high reliability of endurance test. In this paper, proving ground optimization is proposed to achieve a close match to the target profile. Several performance measures such as torque-revolution counts or transmission ratio for the powertrain system can be considered as one of the objective functions. However, the one-side optimal endurance test mode may give the poor solution in the whole system point of view. To incorporate several goals simultaneously, this paper employs multi-objective optimization technique to generate endurance test mode. One of the most widely used method, weighted-sum method is applied here and the case study is discussed.
Keywords
Endurance Test Mode; Multi-Objective Optimization; Weighted Sum Method;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. Vertua, F. Kihm, A. Halfpenny, "Proving Ground Optimisation based on Fatigue Damage Spectra," 2011.
2 Sang Ho Lee, Jeong Hwan Lee, Do Kyoung Kang, and Sang Hwa Goo, "A Study on the Evaluation Technique of Quantified Damage for Powertrain System on Traveled Courses," Journal of the Korean Society for Precision Engineering, Vol. 24, No. 12, pp. 74-81, 2007.
3 Jeong Hwan Lee, Sang Ho Lee, Do Kyung Kang, and Sang Hwa Goo, "The Technical Report for the Evaluation of Test Courses Through Quantification of Relative Damage for Powertrain System," GSDC-519-070491, 2007.
4 Sang Ho Lee, Jeong Hwan Lee, Sang Hwa Goo, Yong Cheol Cho, and Ho Young Cho, "An Evaluation of Relative Damage to the Powertrain System in Tracked Vehicles," Sensors 2009, Vol. 9, No. 1, pp. 1845-1859, 2009.
5 Jeong Hwan Lee, Sang Ho Lee, Do Kyung Kang, Jae Hong Park, and Byoung Yong Lee, "Test Mode Analysis for Powertrain System of Test Courses and Operation Roads," The Korea Institute of Military Science and Technology, Conference, pp. 1668-1671, 2012.
6 Jeong Hwan Lee, Sang Ho Lee, Young Hwa Sung, Do Kyung Kang, and Jae Hong Park, "Test Mode Analysis of Powertrain System of Tracked Vehicle," Ground System Development Conference, pp. 1-5, 2012.
7 L. Zadeh, "Optimality and Non-Scalar Valued Performance Criteria," IEEE Trans. Automatic Controls, AC-8, 59, 1963.
8 W. Stadler, "A Survey of Multicriteria Optimization, or the Vector Maximum Problem," Journal of Optimization Theory and Applications, Vol. 29, pp. 1-51, 1979.   DOI
9 Kim, J. C., Cheong, S. Y., and Cheong, Y. C., "Prediction of Cumulative Damage by Analysis of Automatic Transmission Endurance Test Mode," SAE 2000, 2000-05-0084.
10 Shin, B. K. and Jang, J. D., "Development of an Evaluation Program of Critical Durability for the Automatic Transmission's Driveline," Proceeding on KSAE, pp. 1094-1099, 2001.
11 J. Koski, "Multicriteria Truss Optimization," in Multicriteria Optimization in Engineering and in the Sciences, W. Stadler, ed., New York, Plenum Press, 1988.
12 "The Development of Standardized Load for Powertrain and Suspension Component of European Car," Korea Automotive Technology Institute, 2005.
13 Gong, H. S., Kwon, J. H., Lee, K. Y., Oh, C. S., Jung, S. B., Sul, I. H., and Kim, T. J., "Application of Data Classification for Damage Evaluation of Rotational Component under Fatigue Loading," Proceeding on KSAE, pp. 3-8, 2000.
14 Il Yong Kim, Oliver de Weck, "Adaptive Weighted Sum Method for Bi-objective Optimization," Journal of the Korean Society for Precision Engineering, Vol. 21, No. 9, pp. 149-157, 2004.