2-DOF Vehicle Dynamics Simulink Model Collection

The 2-degree-of-freedom (2-DOF) vehicle model is a classic dynamics model for studying vehicle handling stability, primarily used to analyze yaw and lateral motion characteristics in the horizontal plane. This simplified model is widely applied in automotive engineering and can effectively reflect the basic dynamic response characteristics of vehicles.

Building 2-DOF vehicle models in the Simulink environment offers significant advantages. Simulink's visual modeling approach allows complex vehicle dynamics equations to be intuitively represented and modified. Through the combination of Simulink blocks, users can construct model frameworks including key components such as wheels, suspension systems, and steering systems. The model typically implements differential equations using integrator blocks and algebraic relationships through basic math operations blocks.

This model collection generally consists of two main components: mathematical models based on m-files and Simulink block diagram models. The m-files implement mathematical equation solutions for the 2-DOF model, typically containing functions that calculate lateral forces, yaw moments, and state derivatives using vehicle parameters. The Simulink model, on the other hand, visually demonstrates dynamic relationships between subsystems through graphical representation. These two implementation methods can validate each other, ensuring model accuracy through cross-verification of simulation results.

The model's applications mainly focus on vehicle handling stability simulation. By inputting different steering wheel angles, users can simulate vehicle dynamic responses under various operating conditions and evaluate steering characteristics. The simulation typically involves implementing a state-space representation with vehicle velocity, sideslip angle, and yaw rate as key state variables. Simultaneously, modifying model parameters such as mass, wheelbase, and tire cornering stiffness allows researchers to study how these factors influence vehicle stability. Parameter sweeps can be automated using MATLAB scripts that interface with the Simulink model.

This model collection holds significant importance for automotive dynamics research, chassis control system development, and driver assistance system testing. It not only helps understand fundamental vehicle dynamic characteristics but also lays the foundation for developing more complex full-vehicle models. The modular structure allows easy integration with additional subsystems like braking or propulsion systems for extended functionality.