In order to improve the road noise, ride comfort and fatigue durability performance of vehicle, optimization design for tire parameters is studied in this paper by a sequential approximate multi-objective optimization method combined the Virtual Proving Ground technique. The radial basis function metamodel is used to establish the explicit mathematical relationship between the key physical parameters of CDTire model and the output responses of vehicle multidisciplinary performance from VPG simulation results. The optimization problem is iteratively solved by the adaptive sampling approach based multi-objective particle swarm optimization algorithm, the real Pareto frontier will thus be approached gradually.The two-step optimization model is established through the classification of design variables, which is thus solved to match tire model parameters. After optimization, the root mean square value of noise over full-frequency range, the mean value of maximum vibration acceleration and the mean value of fatigue damage from key measurement channel of the vehicle have been reduced by 1.6%, 10.4% and 3.8% respectively, demonstrating the significant optimization effect.
Key words
tire optimization design /
road noise /
ride comfort /
fatigue durability /
Virtual Proving Ground
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References
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