Automotive chassis system integration multi-objective optimization method based on improved cell membrane optimization algorithm

Abstract

The invention relates to an automotive chassis system integration multi-objective optimization method based on an improved cell membrane optimization algorithm. The method includes steering and suspension system optimization, wherein the steering system optimization includes selection of transmission ratio of a steering servo motor and adoption of torque sensor rigidity and electric motor rotation inertia serving as design variables, the suspension system optimization includes selection of suspension rigidity and adoption of suspension transverse stabilizer bar angle rigidity, suspension damp and tire cornering stiffness serving as integrated optimization objectives. The steering road feel and steering sensitivity of a novel electric power steering system and the smoothness of an active suspension system serve as integrated optimization objectives, the steering stability, steering sensitivity and suspension dynamic deflection limit serve as integrated constraint conditions, the improved cell membrane optimization algorithm is applied to perform optimization design. Finally, an optimum compromise solution under a desirability function is selected as an optimization result according to a Pareto solution, and accordingly integrated optimization of vehicle running smoothness, operating stability and safety is achieved.

Description

technical field [0001] The invention relates to the field of automobile chassis systems, in particular to the integration of automobile chassis systems and a multi-objective optimization method based on the integrated system. Background technique [0002] Steering system and suspension system are the two key systems in the automobile chassis system that affect the attitude of the body, and are important components to ensure the ride comfort, operational stability and safety of the vehicle. Usually, when analyzing the performance of the suspension system and the steering system, people are used to relatively independent of their influence on the ride comfort and handling stability of the vehicle, that is, to establish independent dynamics of the suspension system and the steering system without interfering with each other. model for analysis. Assume that the input in the vertical direction has no effect on the yaw motion and lateral motion of the car, that is, the movement o...

AI Technical Summary

Problems solved by technology

However, the traditional cell membrane optimization algorithm, on the one hand, has the disadvantage of slow optimization convergence. It is easy to fall into the local optimal solution in the early stage of optimization, and in the later stage of optimization, as the optimal solution approaches, the optimization efficiency decreases; on the other hand, the traditional The cell membrane optimization algorithm has a certain gap with NSGA-II and multi-island genetic algorithm in terms of the diversity of solution sets, and its diversity needs to be further improved

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