Vehicle Full-Car Model Simulation

Vehicle full-car model simulation involves using MATLAB/SIMULINK tools to create virtual vehicle models that simulate key performance indicators under real driving conditions, including dynamic performance, handling stability, and fuel economy. Through simulation analysis, engineers can optimize vehicle parameters during the early design phase, reducing the cost of physical prototype testing.

Building a full-vehicle model in SIMULINK typically includes multiple subsystems: Powertrain Module - Simulates torque output characteristics of engine and transmission using lookup tables and torque-speed maps Suspension System - Represents vehicle vibration characteristics through spring-damper models implemented with state-space equations Tire Model - Calculates longitudinal/lateral forces using theoretical approaches like Pacejka's Magic Formula with slip angle and slip ratio inputs Aerodynamics - Accounts for drag coefficient effects on high-speed driving using quadratic velocity-dependent force equations

During simulation, special attention must be paid to coupling relationships between subsystems. For example, under braking conditions, simultaneous coordination is required for: Powertrain torque reduction through throttle position control Brake hydraulic pressure distribution using pressure balancing algorithms Nonlinear variations in tire-road adhesion forces modeled with friction coefficient functions

Through parametric modeling and batch simulation of driving cycles, different configuration schemes can be rapidly validated. Typical application scenarios include range prediction for new energy vehicles and control algorithm verification for ADAS systems. This digital simulation approach has become a standard process in modern vehicle development.