Research of the Impact of Power Steering System Parameters on the Vehicle Handling Stability

2012 ◽  
Author(s):  
ShuHua Liao ◽  
Caihong Yang
2013 ◽  
Vol 706-708 ◽  
pp. 1150-1153
Author(s):  
Gui Hua Fang ◽  
Wen Shuai Zheng ◽  
Li Bo Zhang

This article using AMESim and Simulink software co-simulation technology and appropriate software to establish the simulation model of the key components of the steering system, it is found the factor which affect vehicle handling and stability of steering system in the structure by analyzing the impact of various parameters on the car steering system. It is to verify the feasibility of the model and study how steering system of all kinds of main factor to influence the vehicle steering stability through Simulink and AMESim software co-simulation results cf vehicle steering stability GB experiments.


2020 ◽  
Vol 13 (3) ◽  
Author(s):  
Poornima R. Bodke ◽  
Subim .N. Khan ◽  
Shoaib Iqbal ◽  
Aravind S.

The study of dynamic behavior of Electric Power Steering System (EPAS) is very critical to understand the overall handling of the vehicle. The appropriate feedback from the steering to the driver is crucial so that the driver get the precise steering feel in order to control the vehicle with ease during all kinds of maneuvers. For a maximum tire life, the steering system should maintain, a proper tire road contact, and proper tire geometry with respect to the chassis both during cornering and straight-ahead driving. The driver should be able to turn the vehicle with ease during low as well as high speed maneuver. A complete steering system dynamic model is developed and is integrated with the full vehicle model using AMESIM 1D simulation platform. The simulation is carried out as per the guidelines laid by the ISO 7401 standard criterion. In this project we have performed the simulation on three different vehicle models in which a behavioral comparison of EPAS between their Conventional & Electric variants is performed. A thorough implementation of various vehicle SPMM parameters and KnC files is done in AMESim simulation model. Finally a list of Performance Aggregate Target Parameters is calculated. The resulting PAT parameter values are then compared with the test data and an appropriate design modification has been suggested accordingly.


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