Modeling and Co-Simulation for Air Brake System of Heavy Truck

Li He; Jing Lai Wu; Man Long Peng; Yu Ming Hou; Li Ping Chen

doi:10.4028/www.scientific.net/AMR.466-467.1109

Paper Titles

Model Parameter Adaptive Sliding Mode Model-Following Position Control of PMSM
p.1089

The Applications of Improved Genetic Algorithm on Hypersonic Vehicle Trajectory Optimization
p.1095

The Design of a Universal Infrared Remote Repeater
p.1100

Simulation Study on Indoor Air Ventilation Efficiency Based on Computational Fluid Dynamics
p.1104

Modeling and Co-Simulation for Air Brake System of Heavy Truck
p.1109

Effective PID Parameters Self-Tuning Rule Based on Internal Model Control
p.1115

Passivity-Based Control of Voltage Source PWM Rectifier Based on Synthesis Space Vector
p.1120

Structural Optimization and Aeroelastic Analysis of a Composite T-Tail Configuration
p.1125

PWM Speed Regulating System of DC Torque Motor Based on Fuzzy Immune-PID Control
p.1129

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467Modeling and Co-Simulation for Air Brake System of...

Modeling and Co-Simulation for Air Brake System of Heavy Truck

Abstract:

Air brake systems have been widely used in heavy trucks and intercity buses for its great superiority over other brake system. In traditional, many researchers focused on the vehicle dynamics which employ the static characteristic of brake system to analysis the vehicle brake capacity. In fact, the practical performance of air brake system may be greatly different from the static theory. Thus, it is necessary to build an integrate air brake system model to simulate the process of brake accurately. Also, some works focused on the dynamic characteristics of brake system have been completed, but it is not comprehensive without the considering the effect of vehicle dynamics. In this paper, a completely air brake system dynamic model is built, where the air brake system contains pneumatic subsystem and mechanical subsystem. The air brake system is embedded in a heavy truck dynamic model which contains three axles. The simulation results show the brake distance, vehicle velocity, vehicle deceleration, and brake torque for each wheel in the process of brake.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

1109-1114

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.1109

Citation:

Cite this paper

Online since:

February 2012

Authors:

Li He, Jing Lai Wu, Man Long Peng, Yu Ming Hou, Li Ping Chen

Keywords:

Air Brake System, Co-Simulation, Heavy Truck

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Limpert. R. Brake Design and Safety. SAE Order No. R-198, 1999.

Google Scholar

[2] Limpert. R. Engineer Design Handbook, Analysis and Design of Automotive Brake Systems. US Army Material Development and Readiness Command, DARCOM-P -706-358, 1976.

Google Scholar

[3] Bert. B, Karlheinz. H. Brake Technology Handbook. SAE Order No.R-367, 2008.

Google Scholar

[4] Subramanian. S. C, Darbha. S, and Rajagopal. K. R. Modeling the Pneumatic Subsystem of an S-cam Air Brake System. Trans. of the ASME, J. of Dynamic Systems, Measurement, and Control， Vol.126, 2004，pp.36-46.

DOI: 10.1115/1.1666893

Google Scholar

[5] Subramanian. S. C, Darbha. S, and Rajagopal. K. R. A Diagnostic System for Air Brakes in Commercial Vehicles. IEEE Transactions on Intelligent Transportation Systems, Vol.7, No.3, September 2006, pp.360-376.

DOI: 10.1109/tits.2006.880645

Google Scholar

[6] Wu. J, Zhang. H, Zhang. Y, Chen. L. Robust design of pneumatic brake system in commercial vehicles. SAE, 2009-01-0408.

DOI: 10.4271/2009-01-0408

Google Scholar

[7] He. L, Wang. X. L, Hu. S. B, etc. Modeling and simulation vehicle air brake system. Modelica 2011, in press.

Google Scholar