scholarly journals Modeling and Validation of a Complex Vehicle Dynamics Model for Real-time Applications

Author(s):  
Peter Riegl ◽  
Andreas Gaull
2008 ◽  
Author(s):  
Salim Hima ◽  
Hichem Arioui ◽  
Hichem Arioui ◽  
Rochdi Merzouki ◽  
Hadj Ahmed Abbassi

2013 ◽  
Vol 380-384 ◽  
pp. 1746-1749
Author(s):  
Jun Zhan ◽  
Jiang Li Lu ◽  
Liang Xu ◽  
Wei Zhang

At present, the performance of the vehicle dynamics model is mainly evaluated objectively through offline simulation. In this paper, a vehicle dynamics model was implemented in dSPACE, which was applied to the Automotive Performance Simulator and the preliminary study was made for the realization of the subjective evaluation of the performance of vehicle dynamics model through the real-time closed-loop online simulation. The dSPACE interface library was used to write a Clib program to operate and control the Carsim RT model running on the dSPACE platform, which realized the communication between the external hardware and the real-time hardware of dSPACE.


2012 ◽  
Vol 263-266 ◽  
pp. 595-599
Author(s):  
Bing Li ◽  
Jianhua Zheng ◽  
Yang Hui Zhou ◽  
Li Xi Luo

Aiming at the problem of real-time simulation of vehicle dynamics. Dynamic model of tracked vehicle was built in Vortex. Base class of vehicle was secondary developed to apply torque to the sprockets directly. Finally, dynamics model of electric drive tracked vehicle was established. Under different conditions,the dynamics real-time simulation was carried out. The results showed that the vehicle dynamic simulation in Vortex ensures high accuracy and also has a good real-time.


Author(s):  
Dan T. Horak ◽  
Shane K. Lack

Dynamics of a pickup truck undergoing a rear tire blowout are analyzed as a system controlled by a human driver. Analysis is based on a large nonlinear vehicle dynamics model combined with a human driver model. The main reason why some tire blowouts result in accidents is identified. Insight is generated in experiments with human drivers in a driving simulator that runs the same vehicle model as the one used for analysis. A driver assist system for controlling tire blowouts is developed and validated in real time in the driving simulator.


2021 ◽  
Author(s):  
Yongjun Pan ◽  
Xiaobo Nie ◽  
Wei Dai ◽  
Feng Xu ◽  
Zhixiong Li

Abstract The vehicle multibody model can be used for accurate coupling dynamics, but it has higher computational complexity. Numerical stability during integration is also very challenging, especially in complicated driving situations. This issue can be substantially alleviated by using a data-driven nonlinear dynamics model owing to its computational speed and robust generalization. In this work, we propose a deep neural network (DNN)-based modeling approach for predicting lateral-longitudinal vehicle dynamics. Dynamic simulations of vehicle systems are performed based on a semirecursive multibody formulation for data acquisition. The data are then used for training and testing the DNN model. The DNN inputs are the torque applied on wheels and the initial vehicle speed that imitates a double lane change maneuver with acceleration and deceleration. The DNN outputs are the longitudinal driving distance, lateral driving distance, final longitudinal velocities, final lateral velocities, and yaw angle. The dynamic responses obtained from the DNN model are compared with the multibody results. Furthermore, the accuracy of the DNN model is investigated in terms of error functions. The DNN model is finally verified via the results of a commercial software package. The results show that the DNN vehicle dynamics model predicts accurate dynamic responses in real time. The DNN model can be used for real-time simulation and preview control in autonomous vehicles.


2020 ◽  
Vol 151 ◽  
pp. 103907 ◽  
Author(s):  
Yongjun Pan ◽  
Saidi Xiang ◽  
Yansong He ◽  
Jian Zhao ◽  
Aki Mikkola

Author(s):  
Sung-Soo Kim ◽  
Wan Hee Jeong ◽  
Seonghoon Kim

HILS (Hardware-in-the Loop Simulation) vehicle simulator is one of the most effective tools to develop control subsystems for the intelligent vehicles, since expensive vehicle field tests can be replaced with virtual tests in the HILS simulator. In the HILS simulator, the software vehicle dynamics model must be solved in real-time, and it must also reproduce the real vehicle motions. Compliance effects from suspension bush elements significantly influences the vehicle behavior. In order to include such compliance effects to the vehicle model, normally the spring-damper model of the bush elements is used. However, high stiffness of the bush elements hinders real-time simulations. Thus, it is necessary to have an efficient method to include compliance effects for the real-time multibody vehicle dynamics model. In this paper, compliance model for real-time multibody vehicle dynamics is proposed using quasi-static analysis. The multibody vehicle model without bush elements is used based on the subsystem synthesis method which provides real-time computation on the multibody vehicle model. Reaction forces are computed in the suspension subsystem. According to deformation from the quasi-static analysis using reaction forces and bush stiffness, suspension hardpoint locations and suspension linkage orientation are changed. To validate the proposed method, quarter car simulations and full car bump run simulations are carried out comparing with the ADAMS vehicle model with bush elements. CPU times are also measured to see the real-time capabilities of the proposed method.


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