Real-Time Virtual Simulation and Motion Realization of Electric Drive Vehicle Based on Virtual Reality Fusion

Autor: Wei Xiong, Qinwen Jiang, Hongwang Du, Jiajia Wang, Changle Sun
Rok vydání: 2021
Předmět:
Zdroj: 2021 IEEE 7th International Conference on Virtual Reality (ICVR).
DOI: 10.1109/icvr51878.2021.9483857
Popis: In the bench experiment of electric drive vehicle, the experimental data are mostly presented in the form of tables and curves, which cannot predict the actual motion of the vehicle well. With the development of computer technology, virtual reality can be used in automobile bench experiment. The existing virtual simulation platforms simulate vehicle motion in off-line form, which cannot be combined with real-time experimental data, and there are shortcomings in vehicle kinematics performance analysis. In order to solve this problem, this paper proposes a vehicle real-time virtual simulation platform based on virtual reality fusion. The whole vehicle and its internal coupling mechanism were modeled with CAD modeling technology, and the motion scene of the model was designed with 3D rendering technology. CAN bus protocol is used to obtain external data in real time. Based on the Virtools virtual simulation software, the internal algorithm is constructed to control the real-time simulation model and display the vehicle movement. Finally, an example is carried out to verify the feasibility and practicability of the simulation platform.
Databáze: OpenAIRE