Vibration Damping Optimization using Simulated Annealing Algorithm for Vehicle Powertrain System


Volume: 10 | Issue: 1 | Pages: 5164-5167 | February 2020 |


The clutch system in a vehicle’s powertrain system controls torque transmission and has vibration damping properties. A vehicle’s clutch system is subjected to high dynamic loads and vibrations, under operational conditions, that need further system analysis. The torque generated from the vehicle’s engine creates vibrations at different levels of frequencies. For this purpose, vibration damping systems have to be designed to make the vehicle work more efficiently. In this study, the 1-D modeling of powertrain system, including metallic clutch damper springs, was subjected to vibration optimization with the Simulated Annealing (SA) algorithm. This novel methodology accelerates the powertrain system vibration optimization and provides assumptions eliminating cost and time in real vehicle testing.


clutch damper, simulated annealing, 1-D modeling, damper torque, powertrain system, driving comfort, vibration


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S. J. Hwang, J. S. Chen, L. Liu, C. C. Ling, “Modelling and simulation of a powertrain-vehicle system with automatic transmission”, International Journal of Vehicle Design, Vol. 23, No. 1, pp. 145-160, 2006 DOI:

A. Macor, A. Benato, A. Rossetti, Z. Bettio, “Study and simulation of a hydraulic hybrid powertrain”, Energy Procedia, Vol. 126, pp. 1131-1138, 2017 DOI:

M. O. Genc, N. Kaya, “Modelling and experimental investigation of clutch damper spring stiffness on truck driving comfort”, International Journal of Advances on Automotive and Technology, Vol. 1, No. 2, pp. 121-136, 2018 DOI:

R. Smith, “Changing the effective mass to control resonance problems”, Sound and Vibration, Vol. 35, No. 5, pp. 14-17, 2001

H. Acar, C. Gul, M. Avci, “Clutch disc torsional characteristics optimization to reduce idle and gear rattle on passenger car”, International Automotive Congress, Belgrade, Serbia, April 14-15, 2015

M. O. Genc, B. Budak, N. Kaya, “Modelling and vibration analysis of powertrain systems”, International Journal of Automotive Science and Technology, Vol. 2, No. 1, pp. 17-25, 2018 DOI:

M. Sofian, D. Hazry, K. Saifullah, M. Tasyrif, K. Salleh, I. Ishak, “A study of vibration analysis for gearbox casing using finite element analysis”, International Conference on Applications and Design in Mechanical Engineering, Batu Ferringhi, Penang, Malaysia, October 11-13, 2009

A. Brandt, T. Lago, K. Ahlin, J. Tuma, “Main principles and limitations of current order tracking methods”, Sound and Vibrations, Vol. 39, No. 3, pp. 19-22, 2005

C. S. Keeney, S. Shih, “Prediction and control of heavy duty powertrain torsional vibration”, SAE Transactions, Vol. 101, pp. 805-814, 1992 DOI:

S. Jadhav, “Powertrain NVH analysis including clutch and gear dynamics”, SAE Technical Paper 2014-01-1680, SAE, 2014 DOI:

A. Mazzei, B. Alzahabi, L. K. Natarajan, “Analysis of the drivetrain bending response for a heavy truck driveline”, SAE Technical Paper Series, 2012

K. Soleimani, J. Mazloum, “Designing a GA-based robust controller for Load Frequency Control (LFC)”, Engineering, Technology & Applied Science Research, Vol. 8, No. 2, pp. 2633-2639, 2018 DOI:

A. A. Afifi, W. A. Khan, D. R. Hayhurst, “Adaptation of the simulated annealing optimization algorithm to achieve improved near-optimum objective function values and computation times for multiple component manufacture”, International Journal of Advanced Manufacturing Technology, Vol. 60, No. 5-8, pp. 437-451, 2012 DOI:

J. Leng, Z. Li, J. K. Guest, B. W. Schafer, “Shape optimization of cold-formed steel columns with fabrication and geometric end-use constraints”, Thin-Walled Structures, Vol. 85, pp. 271-290, 2014 DOI:

W. Shao, G. Guo, “Multiple-try simulated annealing algorithm for global optimization”, Mathematical Problems in Engineering, Vol. 2018, article ID 9248318, 2018 DOI:

M. G. Skarpatis, F. N. Koumboulis, A. S. Ntellis, “Robust control of pneumatic clutch actuators using simulated annealing techniques”, 21st Mediterranean Conference on Control and Automation, Chania, Greece, June 25-28, 2013 DOI:

X. Q. Yang, A. I. Mees, K. Campbell, “Simulated annealing and penalty methods for binary multicommodity flow problems”, Progress in Optimization, Vol. 39, pp. 93-105, 2000 DOI:

C. Park, J. H. Moon, “A penalized principal component analysis using simulated annealing”, Communications for Statistical Applications and Methods, Vol. 10, No. 3, pp. 1025-1036, 2003 DOI:


How to Cite

M. O. Genc and N. Kaya, “Vibration Damping Optimization using Simulated Annealing Algorithm for Vehicle Powertrain System”, Eng. Technol. Appl. Sci. Res., vol. 10, no. 1, pp. 5164–5167, Feb. 2020.


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