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Parameter Optimization of the Cab Suspension for Commercial Vehicles Based on the Differential Evolution Genetic Algorithms
Journal Article
02-16-02-0012
ISSN: 1946-391X, e-ISSN: 1946-3928
Sector:
Topic:
Citation:
Yan, X., Yin, T., Wang, Y., Jia, K. et al., "Parameter Optimization of the Cab Suspension for Commercial Vehicles Based on the Differential Evolution Genetic Algorithms," SAE Int. J. Commer. Veh. 16(2):179-191, 2023, https://doi.org/10.4271/02-16-02-0012.
Language:
English
Abstract:
For commercial vehicles, the parameter design and optimization of the cab
suspension system are very important to ride comfort. Taking the vibration
problem of a commercial vehicle as the starting point, the road load spectrum is
tested and analyzed according to the user’s working scenarios, and the multibody
dynamics model of the cab suspension system including actuator is established.
The displacement drives of the system are obtained by the virtual load iteration
method. The influence of boundary frequency to noise signals and drives standard
deviation is analyzed, which is used in system identification. The method based
on design of experiment is used to carry out joint experimental design and
obtain the exploration space, and the cubic polynomial fitting is carried out to
build a surrogate response surface model with high prediction accuracy. On the
basis of differential evolution genetic algorithm, the parameters such as
population number, crossover probability, and differential scale factors are
studied. The optimization strategy is formulated, and the balance point is
sought in optimizing diversity and convergence characteristics, so as to ensure
that the ride comfort of the target vehicle is significantly improved.