Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
권호 표지

Determination of a Duty Cycle for Tracked Vehicle Using Genetic algorithm

유전자알고리즘을 이용한 궤도차량 동력장치의 주행부하주기 도출

  • Oh Chul-Sung (Agency of Defense Development) ;
  • Im Hyung-Eun (school of Mechanical System Engineering, Chonnam National University) ;
  • Hwang Won-Gul (school of Mechanical System Engineering, Chonnam National University)
  • 오철성 (국방과학연구소) ;
  • 임형은 (전남대학교 기계시스템공학부) ;
  • 황원걸 (전남대학교 기계시스템공학부)
  • Published : 2005.05.01
Download PDF
⟨ Previous Next ⟩

Abstract

The durability of a vehicle is a very important performance which can be evaluated from endurance test. This study developed a procedure for determination of a duty cycle theoretically. Vehicle load data is classified and rearranged using standard test road profile. A load pattern and a duty cycles are extracted from classified vehicle data using genetic algorithm. A duty cycle could be utilized in dynamo test to meet required test mileage. The derived duty cycles have been verified by fatigue test through the dynamometer test.

Keywords

References

  1. Muller-Berner, A. Mischke and P. Strifler, 'The Development of a Modern Commercial Vehicle,' ATZ 73, No.11, 1971
  2. Y. Lee, G. Kim, Y. Pyo, M. Sunwoo and M. Eom, 'Development of Chassis Dynamometer Test Modes to Derive the Emission Factors for Light Duty Vehicles,' Transactions of KSAE, Vol.10, No.6, pp.117-124, 2002
  3. R. Bata, Y. Yacoub, W. Wang and D. Lyons, 'Heavy Duty Testing Cycles: Survey and Comparison,' SAE 942263, 1994
  4. R. Nine, N. Clark, J. Daley and C. Atkinson, 'Development of a Heave Duty Chassis Dynamometer Driving Route,' Journal of Automobile Engineering, Proc. Instn. Mech. Engrs. Vol.213, Part D, pp.56l-574, 1999
  5. H. Bruneel, 'Heavy Duty Testing Cycles Development : A New Methodology,' SAE 2000-01-1860, 2000
  6. D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley Professional, 1989
  7. C. Karr, D. Stanley and B. McWhorter, 'Optimization of Hydrocyclone Operation using a Geno-fuzzy Algorithm,' Computer Methods and Applied Mechanics in Engineering, Vol.186, pp.517-530, 2000 https://doi.org/10.1016/S0045-7825(99)00400-4
  8. M. Keser and S. Stupp, 'Genetic Algorithms in Computational Materials Science and Engineering : Simulation and Design of Self-assembling Materials,' Computer Methods and Applied Mechanics in Engineering, Vol.186, pp.373-385, 2000 https://doi.org/10.1016/S0045-7825(99)00392-8
  9. M. Kikukawa, M. Jono, T. Kamata, J. Song and H. Himaru, 'Low-cycle Fatigue under Varying Strain Conditions (Effects of the Mean Plastic Strain and the Stress Factor),' Bulletin of the JSME, Vol.20, No.140, pp.145-152, 1977 https://doi.org/10.1299/jsme1958.20.145
  10. J. Ha, J. Song and S. Lee, 'Fatigue Life Predictions for Variable Load Histories: Part I : Fatigue Crack Initiation Life,' Journal of KSME, Vol.12, No.4, pp.760-780, 1988