Abstract
Due to the presence of geometric error, installation error, the actual hard point has certain fluctuation and uncertainty which cause the suspension K&C characteristic fluctuation bigger compared with the standard K&C characteristics. For the uncertainty problem, the mathematical model for Macpherson suspension is built using the attitude coordinate transformation based on the rigid body kinematics theory; Sobol method is used to analysis the suspension K&C characteristics sensitivity and find out the hard point of impact; interval analysis method is utilized to optimize parameters of suspension structure which will improve the suspension K&C characteristic robustness and reduce the suspension K&C fluctuation compared with the standard K&C characteristic. The results show that this method has high robustness and practicability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jornsen R (1992) Automotive chassis element. Translated by Zhang Hongxin, Yu Zhuoping. Popular Science Press, Beijing, 136–176
Donald B, Geoffrey H, John PW (1987) Car suspension and handling. British Library Cataloguing in Publication Data, London
Lu J, Zhou K, Guo L, Hou Y (2012) Design and parametric optimization of mcpherson front suspension of electric vehicle. J Mech Eng 48(8):98–103
Xiang T, Shen L (2014) An optimization of the front suspension linkages of a racing car with ADAMS. Automot Eng 36(4):486–490
Feng T, Zhong Z, Yan X, Chen Y (2012) Multi-objective optimization for multi-link suspension based on NSGA-II algorithm. Automot Eng 32(12):1063–1066
Feng J, Chen X, Zheng S, Hou S (2013) Optimization for multi-link suspension hard-points based on PDJI-MOPSO algorithm. China Mech Eng 24(13):1841–1845
Sobol IM (1993) Sensitivity estimates for nonlinear mathematical models. Math Model Comput Exp 1(4):407–414
Zhang X (2010) Research on the global sensitivity analysis method of air defense missiles weapon system-of-systems combat effectiveness. National University of Defense Technology in Changsha
Moore RE (1979) Methods and applications of interval analysis. Prentice-Hall Inc, London
Raquel CR, Naval Jr. PC (2005) An effective use of crowding distance in multi-objective particle swarm optimization. In: Proceedings of Congress evolutionary computation. ACM Press, Washington DC, USA, pp 257–264
Junning Chen, Chaiy Rungsiyakull, Wei Li, Yuhang Chen, Michael Swain, Qing Li (2013) Multiscale design of surface morphological gradient for osseointegration. J Mech Behav Biomed Mater 20:387–397
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ren, C., Li, K., Li, S., Gao, S. (2019). Parameter Sensitivity Analysis and Uncertainty Optimization of Suspension K&C Characteristic Response. In: (SAE-China), S. (eds) Proceedings of the 19th Asia Pacific Automotive Engineering Conference & SAE-China Congress 2017: Selected Papers. SAE-China 2017. Lecture Notes in Electrical Engineering, vol 486. Springer, Singapore. https://doi.org/10.1007/978-981-10-8506-2_11
Download citation
DOI: https://doi.org/10.1007/978-981-10-8506-2_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8505-5
Online ISBN: 978-981-10-8506-2
eBook Packages: EngineeringEngineering (R0)