scholarly journals Survey of the Application Fields and Modeling Methods of Automotive Vehicle Dynamics Models

2020 ◽  
Vol 5 (2) ◽  
pp. 196-209
Author(s):  
András Szántó ◽  
Sándor Hajdu ◽  
Krisztián Deák
Keyword(s):  
Vehicle Dynamics ◽  
Computational Cost ◽  
Vehicle Body ◽  
Dynamics Modeling ◽  
Automotive Vehicle ◽  
Specific Direction ◽  
Physical Effects ◽  
Application Fields ◽  
Vehicle Dynamics Modeling ◽  
Dynamics Models

In this paper, a review is presented on automotive vehicle dynamics modeling. Applied vehicle dynamics models from various application fields are analyzed and classified in the first section. Vehicle dynamics models may be simplified because of different reasons: several control/estimation/analysis methods are suitable only for simplified models (e.g. using control-oriented models), or because of the computational cost. Detailed/truth models of vehicle dynamics represent another field of vehicle dynamics modeling, these models play an important role in the virtual prototyping of vehicles. In the second section, the main modeling considerations of vehicle dynamics are presented in longitudinal, lateral and vertical directions. Various physical effects must be considered in the case of vehicle dynamics modeling, a lot of these effects are significant only in a specific direction of the vehicle body, which is the main potential of model simplification. The section presents vehicle modeling considerations in all of the three translational directions of the vehicle body.

Study of Vehicle Dynamic Modeling Fidelity on Haptic Collaboration in Steer-by-Wire Systems

2007 ◽  
Author(s):  
Anand P. Naik ◽  
Leng-Feng Lee ◽  
Venkat N. Krovi
Keyword(s):  
Vehicle Dynamics ◽  
Dynamics Modeling ◽  
Traditional Use ◽  
Interactive Control ◽  
Collaborative Control ◽  
Steer By Wire ◽  
Analysis Of Results ◽  
Automation Technology ◽  
The Cost ◽  
Vehicle Dynamics Modeling

The Steer-By-Wire (SBW) paradigm for vehicle control offers many advantages over traditional use of mechanical steering systems but comes at the cost of loss of proprioception (“road feel”). To this end, haptic interfaces for SBW systems have been proposed to restore the intimacy of interactive control back to the driver. However, the degree of realism for the interaction is dependent on the fidelity of the underlying computational vehicle dynamics model. Hence we focus on quantitative comparative testing of the role of vehicle dynamics modeling fidelity for haptic SBW tasks. Additionally the SBW paradigm can simplify implementation of shared/collaborative control (steering) of the underlying mechanical system (vehicle). Possibilities range from sharing of control between multiple individual users or between user and automation technology. Performance evaluation of 3 modes of shared control vs. individual control of driving was carried out and preliminary analysis of results is presented in the paper.

An Approach to Wind Blow-Over Risk Reduction at Norfolk Southern Rwy

2010 ◽  
Author(s):  
G. Walter Rosenberger ◽  
Brian J. Dumont ◽  
Corey T. Pasta
Keyword(s):  
Risk Reduction ◽  
Vehicle Dynamics ◽  
Lookup Table ◽  
Weather Data ◽  
Dynamics Modeling ◽  
Modeling And Analysis ◽  
Restriction System ◽  
Vehicle Dynamics Modeling ◽  
Further Development ◽  
Wind Blow

A paper written for and presented at the ASME 2010 Joint Rail Conference explored the science and methodology that BNSF Railway has taken to avoid wind-caused derailments.1 This paper further develops this topic with the approach Norfolk Southern Corp (NS) has taken. The foundational fluid flow dynamics and vehicle dynamics modeling and analysis are reviewed. The modeling included doublestack platforms loaded with empty boxes, trailer-on-flatcar (“piggyback”) equipment, high-cube boxcars, hoppers/coal gondolas, and multilevel (“autorack”) flatcars. The implementation of the modeling is outlined as a description of NS’ Speed Restriction System (SRS). The SRS uses real-time weather data and a lookup table of vehicle responses to provide the traffic controller (dispatcher) with recommended train speeds. Thoughts and suggestions on further development of a blowover risk reduction system are presented.

Heavy-Duty Vehicle Dynamics Modeling and Rollover Warning Simulation

2021 ◽  
Author(s):  
Hongyan Zhang ◽  
Haotian Hu ◽  
Mingxi Zhang ◽  
Song Du ◽  
Qi Cui ◽  
...  
Keyword(s):  
Vehicle Dynamics ◽  
Heavy Duty ◽  
Dynamics Modeling ◽  
Heavy Duty Vehicle ◽  
Vehicle Dynamics Modeling ◽  
Rollover Warning

Vehicle Dynamics Modeling Based on Vortex

2014 ◽  
Vol 624 ◽  
pp. 289-292
Author(s):  
Ting Jin ◽  
Yun Qiu Gong ◽  
Chun Yu Wei
Keyword(s):  
Vehicle Dynamics ◽  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Dynamics Modeling ◽  
Dynamics Model ◽  
Six Degrees Of Freedom ◽  
Calculation Results ◽  
Vehicle Motion ◽  
Vehicle Suspension System ◽  
Vehicle Dynamics Modeling

The six degrees of freedom platform in vehicle driving simiulator simulates vehicle motion based on the calculation results of the dynamics model, so good dynamics model is the basis and prerequisite of simulator’s good performance. This paper describes the process of applying the Vortex software to establish vehicle dynamics model and focuses on the problem of damping matching in the vehicle suspension system based on the ride comfort and stability.

Vehicle Dynamics Modeling and Validation for the 2003 Ford Expedition with ESC using ADAMS View

2009 ◽  
Author(s):  
Sughosh J. Rao ◽  
Gary J. Heydinger ◽  
Dennis A. Guenther ◽  
Mohamed Kamel Salaani
Keyword(s):  
Vehicle Dynamics ◽  
Dynamics Modeling ◽  
Vehicle Dynamics Modeling
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