Research And Development Of Multi-objective Optimization System For Suspension System Of Heavy Truck

Suspension is an important component of automobiles, it has a significant impact on ride comfort, handling stability and versatility of the car directly. Leaf spring has been up to now selected for heavy truck suspension, therefore, the research on optimal design of suspension system with leaf spring is extensive and versatile.In this paper, a 1/2 simplified physical model and mathematical model were set up based on ride comfort evaluation method of heavy-duty truck, Matlab toolbox was applied to simulate the ride comfort of a heavy truck with leaf springs. According to the vibration curve of acceleration obtained in the simulation, the main factors effected the ride comfort of trucks was analysed, it provided the basis for the set up of regression equation and objective functions in optimization follow-up.The indicators of suspension performance evaluation are acceleration, dynamic deflection and dynamic load, they are often conflicting with each other in the course of suspension design. In order to get a better suspension performance, a multi-objective optimization method with interactive satisfying trade-off was applied in the design of heavy trucks. At last the optimization system for suspension system was developed in fortran95.The optimization results show that, the developed system is feasible. It can help the designers in the prediction of the performance of the suspension. It can shorten the development cycle and reduce the development costs for suspension system of heavy trucks.