Abstract

Air suspension systems are being widely used on ground vehicles in general and buses in particular. The element that makes the superiority of this system is air spring. This paper introduces the application of genetic algorithms method to optimize the parameters of the air spring element. A full model of a bus using air suspension system with air spring element, which is modeled based on the Gensys model. From the real experiments, the bounds of seven optimized parameters of the air spring are determined. In which, by using a single α value, it is possible to determine the optimal parameters according to each desired criteria between the road safety and the ride comfort. Optimal results are verified in the time domain simulations with random road profile according to the ISO standard 8608. The results show that by using the optimal parameters of the air spring when α = 0.5, the ride comfort is improved about 15% while the road safety is still guaranteed.

Highlights

  • The air spring is located between the sprung mass and unsprung mass, each of which is linked to the auxiliary air tank and the high-pressure air flow feed [4]

  • The parameter optimization results of the air spring element are evaluated in the time domain when the bus uses three types of suspension systems: leaf spring suspension, air suspension system with experimental parameters, air suspension system with the optimal parameters of the air spring determined by the genetic algorithm method

  • The air suspension system is widely used in buses and heavy vehicles

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Summary

Background

Automobile suspension systems with pneumatic spring (air suspension system) have become increasingly popular in passenger cars, buses, high-comfort vehicles, trucks and heavy vehicles. Initial studies on air suspension systems only dealt with the air movement between the air springs and the auxiliary air tank This approach does not produce outstanding efficiency for vehicles with large variable loads. The research to control and optimize the parameters of the suspension system in general and the air suspension system in particular is the goal to ensure the relationship between ride comfort and safety of movement of the vehicles. These are topics of interest to many researchers [6, 7, 8, 9]

Related works
Paper contribution
Multi-criterion optimization
Vehicle modelling
Passive anti-roll bar modelling
Optimization objectives
Multi-criterion optimization problem formulation
Genetic algorithm method for optimal parameter selection
Optimal parameters of air spring
Evaluation of optimal results with a random road profile
Findings
Conclusions

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