Abstract

Pneumatic suspension is the most significant subsystem for an automobile. In this paper, a simplified and novel pneumatic spring structure with only a conical rubber surface is presented and designed to reduce the influence of external factors besides the pneumatic. The nonlinear stiffness of the pneumatic spring is analyzed based on the ideal gas model and material mechanics. Natural frequency analysis and the transmission rate of the pneumatic suspension are obtained as two effect criteria for the dynamic model. The vibration isolation system platform is established in both simulation and prototype tests. With the results from the simulation, the rules of the pneumatic suspension are analyzed, and the optimal function of mass and pressure is achieved. The experiment results show the analysis of the simulation to be effective. This achievement will become an important basis for future research concerning precise active control of the pneumatic suspension in vehicles.

Highlights

  • Automobile Pneumatic SuspensionIn vehicle dynamics, the suspension system is an important part of the composition for driving comfort and stability [1]

  • As one of the core components of automobile vibration isolation systems, a pneumatic spring can change the stiffness in response to driving conditions by changing the gas pressure inside the air spring volume [4]

  • The stiffness of the spring is analyzed, and a dynamic model of the vibration isolation system is established based on the ideal gas equation and material mechanics [28]

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Summary

Introduction

The suspension system is an important part of the composition for driving comfort and stability [1]. As one of the core components of automobile vibration isolation systems, a pneumatic spring can change the stiffness in response to driving conditions by changing the gas pressure inside the air spring volume [4]. Active suspension technology is under development with control methods such as T-S fuzzy [19], model predictive control (MPC) [20,21], deep learning [22], sliding mode [23], and BP neural networks [24] applied in engine systems [25], steering systems [26], and driving systems [27] of vehicles. The stiffness of the spring is analyzed, and a dynamic model of the vibration isolation system is established based on the ideal gas equation and material mechanics [28].

Structure of the Pneumatic
Stiffness Analysis of the Pneumatic Spring
P is the
Stiffness Analysis of the Rubber p
Dynamic Model Analysis
The schematic diagram of the
Vibration
Establishment
Pressure and Signal Frequency
Simulation
Simulation under 10
Payload
Validation of the Pneumatic Spring Experiment
Findings
Conclusions
Full Text
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