Macpherson suspension hard point coordinate optimization method based on inner layer and outer layer nested multi-objective particle swarm algorithm

Abstract

The invention discloses a Macpherson suspension hard point coordinate optimization method based on an inner layer and outer layer nested multi-objective particle swarm algorithm. The method comprises the following steps: 1, building a multi-objective optimization model for Macpherson suspension hard point coordinates; 2, solving the multi-objective optimization model through the inner layer and outer layer nested multi-objective particle swarm algorithm, thus obtaining a multi-objective optimized Pareto solution set front edge; 3, carrying out weighting treatment on a change range of each locating parameter of a front wheel, and building an evaluation function on the change ranges of the locating parameters of the front wheel, thus selecting the optimal hard point coordinates from the Pareto solution set front edge according to the evaluation function. According to the Macpherson suspension hard point coordinate optimization method based on the inner layer and outer layer nested multi-objective particle swarm algorithm, the change ranges of the locating parameters of the front wheel can be effectively reduced when mechanical parameters of a suspension are not changed, thus substantially improving the operation stability of an automobile; meanwhile, the automobile still can obtain good operation stability when the mechanical parameters of the suspension are changed, thus effectively guaranteeing the robustness of the optimal design of the suspension hard point coordinates.

Description

technical field [0001] The invention relates to a MacPherson suspension hard point coordinate optimization method based on inner and outer layer nested multi-objective particle swarm algorithms, and belongs to the technical field of geometric parameter optimization of automobile passive suspension systems. Background technique [0002] McPherson suspension is a passive suspension system widely used in small and medium-sized cars, and its kinematic characteristics have an important impact on vehicle handling stability. In the early development process of the MacPherson suspension system, the mass parameters of each part and the mechanical parameters of springs, bushes, shock absorbers, and tires are often determined first, and then the spatial position of the hard point of the suspension is arranged so that the wheels can move on the road. The change of positioning parameters during the excitation process is within an ideal range, reducing tire wear and rolling resistance, an...

AI Technical Summary

Problems solved by technology

However, with the increase of the use time of the car, the alternating changes of ambient temperature and car load will change the spring stiffness and tire radial stiffness, resulting in wheel toe angle, wheel camber, kingpin inclination, kingpin The variation range of the caster angle is greatly increased, thereby deteriorating the performance of the vehicle

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