Study on vehicle handling stability analysis method based on Modelica
Zhang Hongchan
Abstract
Zhang Hongchan
Abstract
To solve the problems that the lack of experience and unreasonable parameters matching, the complexity of modeling and analyzing, and the difference between the off-line simulation model and the real-time simulation model in the traditional vehicle handling design, this paper analyses the stability of vehicle handling and its evaluation method. The 3-DOF vehicle handling mathematical model is presented using the mechanics theory of rigid body. And it is easy to build the 3-DOF model by the declarative equation method of Modleica. And the real-time combination simulation model is built by the S-function of Modelica and Matlab/Simulink. The method can transform the Modelica model to the Simulink model.A certain type of car is used as the object of study to test and verify the modeling method.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
To solve the problems that the lack of experience and unreasonable parameters matching, the complexity of modeling and analyzing, and the difference between the off-line simulation model and the real-time simulation model in the traditional vehicle handling design, this paper analyses the stability of vehicle handling and its evaluation method. The 3-DOF vehicle handling mathematical model is presented using the mechanics theory of rigid body. And it is easy to build the 3-DOF model by the declarative equation method of Modleica. And the real-time combination simulation model is built by the S-function of Modelica and Matlab/Simulink. The method can transform the Modelica model to the Simulink model.A certain type of car is used as the object of study to test and verify the modeling method.
Key concepts: Modelica, MATLAB, Computer science, Stability (learning theory), Modeling and simulation, Matching (statistics), Automobile handling, Simulation