scholarly journals Investigation on Emergency Brake Property of a Heavy-Duty Vehicle Based on Functional Virtual Prototyping Model

2014 ◽  
Vol 8 (1) ◽  
pp. 675-681
Author(s):  
Shaohua Li ◽  
Jiangbo Chen ◽  
Hongwei Huang
Keyword(s):  
Surface Roughness ◽  
Ride Comfort ◽  
Virtual Prototyping ◽  
Frictional Coefficient ◽  
Front Wheel ◽  
Road Surface ◽  
Lateral Acceleration ◽  
Heavy Duty ◽  
Full Vehicle ◽  
Road Surface Roughness

A Functional Virtual Prototyping full vehicle model for a tri-axial heavy-duty truck is built, and the non-linearity of suspension dampers and tires is also considered. With the trajectory of full vehicle gravity center, longitudinal tire force of front wheel, longitudinal acceleration, lateral acceleration, yaw rate and pitch angle as the evaluation indexes of brake property, the influences of system parameters including wheelbase, load shift, road surface roughness and separated road friction coefficient on brake efficiency, stability and ride comfort are analyzed. In addition, the interaction of brake and full vehicle dynamics is studied. Results show that small wheelbase and load shift may improve the brake efficiency of vehicles, small road surface roughness is beneficial to brake stability and ride comfort, and great frictional coefficient difference of separation road will worsen the brake efficiency and stability.

scholarly journals A Frequency Compensation Algorithm of Four-Wheel Coherence Random Road

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Feng ◽  
Xinjie Zhang ◽  
Konghui Guo ◽  
Fangwu Ma ◽  
Hamid Reza Karimi
Keyword(s):  
Surface Roughness ◽  
Coherence Function ◽  
Road Surface ◽  
Domain Model ◽  
Important Influence ◽  
Frequency Compensation ◽  
The Road ◽  
Compensation Algorithm ◽  
Left And Right ◽  
Road Surface Roughness

The road surface roughness is the main source of kinematic excitation of a moving vehicle, which has an important influence on vehicle performance. In recent decades, random road models have been widely studied, and a four-wheel random road time domain model is usually generated based on the correlation of the four-wheel input, in which a coherence function is used to describe the coherence of the road input between the left and right wheels usually. However, during our research, there are some conditions that show that the road PSD (power spectral density) of one wheel is smaller than the other one on the same axle. Actually, it is caused by the uncorrelation between the left- and right-wheel road surface roughness. Hence, a frequency compensation algorithm is proposed to correct the deviation of the PSD of the road input between two wheels on the same axle, and it is installed in a 7-DOF vehicle dynamic study. The simulation result demonstrates the applicability of the proposed algorithm such that two-wheel road input deviation compensation has an important influence on vehicle performances, and it can be used for a control system installed in the vehicle to compensate road roughness for damper tuning in the future.

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