In order to improve optimization efficiency of vehicle dynamics performance including ride comfort and handling stability, a design variable selection strategy is proposed based on TOPSIS(Technique for ordering preferences by similarity to ideal solution,TOPSIS) method. The full vehicle rigid-flexible coupling model with flexible lower control arm and twist beam is firstly established and then validated by modal test data of the lower control arm and twist beam in a free-free configuration and the road test data of ride comfort and handling stability. On this basis, the design of experiment(DOE) method is employed to study the effects of structure parameters of lower control arm on front suspension performance, and structure parameters of twist beam on rear suspension performance, respectively. Furthermore, the calculation method of integrated structural contribution coefficient is presented based on TOPSIS method coupled with entropy measurement. The structure parameters with high integrated structural contribution coefficient are determined as design variables for vehicle performance optimization. Then, the Kriging surrogate model and NSGA-Ⅱ(Elitist non-dominated sorting genetic algorithm) are adopted to perform the multi-objective optimization of ride comfort and handling stability. The Pareto optimal set is found and one of the optimal solutions is determined as the optimization program for the front and rear suspension system. The results indicate that the ride comfort and handling stability of the vehicle equipped with optimized suspensions get a considerable improvement compared to the original vehicle. It demonstrated that an overall improvement of the vehicle performance can be achieved by the proposed multi-objective optimization method.
JIANG Rongchao
,
LIU Dawei
,
WANG Dengfeng
. Multi-objective Optimization of Vehicle Dynamics Performance Based on Entropy Weighted TOPSIS Method[J]. Journal of Mechanical Engineering, 2018
, 54(2)
: 150
-158
.
DOI: 10.3901/JME.2018.02.150
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