Abstract

The purpose of this paper is to improve the performance of air suspension systems for a semi-trailer truck in the direction of reducing the dynamic wheel load acting on road surface (Part 1: modeling and algorithm). To achieve the goal of finding the optimal design parameters for the air suspension systems, a half-vehicle dynamic model under the road-vehicle interaction with 12 degrees of freedom (d.o.f) is established for searching the optimal design parameters of vehicle suspensions using genetic algorithm (GA). Dynamic load coefficient (DLC) is considered as a target function. Two optimal conditions: optimal design of geometrical parameters of air spring suspension systems (Case 1) and optimal design of parameters of air suspension systems (Case 2) are selected in this study. The results of this paper are the basis for optimization and discussion in Part 2 as the results and discussion.

Highlights

  • Vehicle’s air suspension is an important component to reduce the dynamic wheel load acting on the road surface as well as improve the riding comfort

  • The effects of vehicle suspension parameters and operating conditions on the safety of vehicle movement and the durability of vehicle parts were analyzed by using the 3D nonlinear dynamic model [2]

  • To analyze the ride performances of the air or hydro-pneumatic suspension systems, the 3D dynamic model with d.o.f. was developed to compare the ride performance of two suspension systems: the traditional and new air spring of suspension systems for a semi-trailer truck [3], the dynamic model of quarter vehicle with 2 d.o.f. was established to compare the ride performance of two suspension system models: classic air spring and dynamic air spring models [4], and the 3D dynamic model with d.o.f. was used to analyze the ride performance of the hydro-pneumatic suspension system compared to the rubber and air spring suspension systems [5]

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Summary

Introduction

Vehicle’s air suspension is an important component to reduce the dynamic wheel load acting on the road surface as well as improve the riding comfort. The influences of vehicle parameters as well as operating conditions on the dynamic load of the wheels were considered and analyzed by using the 3D vehicle-pavement coupled model [1]. To improve the ride performance of the suspension system for vehicle, many optimal techniques have been used in various fields of study to design vehicle passive suspension systems. The parameters of the suspension systems using vehicle dynamic model with 2 d.o.f. are optimized to improve the friendly road surface and vehicle ride comfort [6]. The goal of this paper is to establish a half-vehicle dynamic model for finding the optimal design parameters of air spring and air suspension. The results of Part 1 in this paper provide a theoretical basis for Part 2 as the results and discussion

Half-vehicle dynamic model
Suspension dynamic model
Road roughness excitation
Optimization via genetic algorithm
Conclusions
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