Analytical Matching of Optimal Damping Characteristics Curve for Vehicle Passive Suspensions

Authors

School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China

Abstract

To facilitate the damping matching of dampers for vehicle passive suspensions, this paper proposes an analytical matching method of the optimal piecewise linear damping characteristics curve. Based on the vehicle vibration model, taking the suspension dynamic deflection as the constraint, by the vibration acceleration and the wheel dynamic load, an objective function about the relative damping coefficient was created. Using the integral mid-value law, an analytical formula of the optimal relative damping coefficient was established and the analytical matching method of the piecewise linear damping characteristics curve was presented. With a practical example, the effectiveness of the proposed matching method was validated by road test. The results showed that the method presented is workable, which has important reference value for fast damping matching of vehicle passive suspensions.

Keywords

References

1.     Zhao, L., Zhou, C., Yu, Y. and Yang, F., "Hybrid modelling and damping collaborative optimisation of five-suspensions for coupling driver-seat-cab system", Vehicle System Dynamics,  Vol. 54, No. 5, (2016), 667-688.
2.     Moghadam-Fard, H. and Samadi, F., "Active suspension system control using adaptive neuro fuzzy (anfis) controller", International Journal of Engineering-Transactions C: Aspects,  Vol. 28, No. 3, (2014), 396-401.
3.     Mao, S., Zhou, C., Yu, Y. and Zhao, L., "Modelling and test verification of suspension optimal damping ratio for electric vehicles considering occupant-cushion and in-wheel motor effects", International Journal of Engineering,  Vol. 30, No. 11, (2017), 1784-1791.
4.     Nakhaie Jazar, G., Alkhatib, R. and Golnaraghi, M., "Root mean square optimization criterion for vibration behaviour of linear quarter car using analytical methods", Vehicle System Dynamics,  Vol. 44, No. 06, (2006), 477-512.
5.     Yin, Z., Khajepour, A., Cao, D., Ebrahimi, B. and Guo, K., "Pneumatic suspension damping characterisation with equivalent damping ratio", International Journal of Heavy Vehicle Systems,  Vol. 19, No. 3, (2012), 314-332.
6.     Bagheri, A., Mahmoodabadi, M., Rostami, H. and Kheybari, S., "Pareto optimization of a two-degree of freedom passive linear suspension using a new multi-objective genetic algorithm",  Vol., No., (2011).
7.     Zhao, L., Zhou, C., Yu, Y. and Yang, F., "An analytical formula of driver rms acceleration response for quarter-car considering cushion effects", Vehicle System Dynamics,  Vol. 55, No. 9, (2017), 1283-1296.
8.     Yu, Z., "Automobile theory", Machinery Industry Press: Beijing,  Vol., No., (2009).
9.     Zhao, L., Zhou, C. and Yu, Y., "Comfort improvement of a novel nonlinear suspension for a seat system based on field measurements", Strojniski Vestnik/Journal of Mechanical Engineering,  Vol. 63, No. 2, (2017).
10.   Zhao, L., Yu, Y., Zhou, C. and Mao, S., "Test verification of a seat-cabin system vertical dynamic model for high-grade fork lift trucks", International Journal of Modeling, Simulation, and Scientific Computing,  Vol. 9, No. 01, (2018), 1850003.
11.   Yang, F., Zhao, L., Yu, Y. and Zhou, C., "Analytical description of ride comfort and optimal damping of cushion-suspension for wheel-drive electric vehicles", International Journal of Automotive Technology,  Vol. 18, No. 6, (2017), 1121-1129.
12.   Yu, Y., Zhou, C. and Zhao, L., "Comparative research on optimal damping matching of seat system for an off-highway dump truck", International Journal of Engineering,  Vol. 31, No. 2, (2018), 204-211.
13.   Smith, M.C. and Swift, S.J., "Design of passive vehicle suspensions for maximal least damping ratio", Vehicle System Dynamics,  Vol. 54, No. 5, (2016), 568-584.
14.   Xing, Z., Liu, X., Zhao, Y., Qin, Y. and Jia, L., "Optimization of vibration damping for the power assembly suspension system based on ant colony algorithm", International Journal of Simulation, Systems, Science & Technology,  Vol. 21, No. 5, (2016), 281-289.
15.   Zhao, L.L., Zhou, C.C. and Yu, Y.W., "A research on optimal damping ratio control strategy for semi-active suspension system", Automotive Engineering,  Vol. 40, No., (2018), 41-47.
International Journal of Engineering
Volume 31, Issue 12
TRANSACTIONS C: Aspects
December 2018
Pages 2109-2114

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