Analysis of Vehicle Straight-Line Driving Conditions with Simulink Model

This document presents a comprehensive analysis of automotive straight-line driving conditions using a sophisticated Simulink model. The model architecture incorporates key vehicle dynamics parameters that can be modified through MATLAB's parameter tuning interface, allowing users to customize variables such as vehicle mass, aerodynamic coefficients, tire friction characteristics, and powertrain specifications. The implementation utilizes Simulink's vehicle dynamics blockset, particularly focusing on longitudinal motion equations governed by Newton's second law F=ma, where force calculations integrate propulsion, rolling resistance, and aerodynamic drag components. The modeling approach employs a state-space representation where vehicle velocity and position serve as primary state variables, with throttle/brake inputs acting as control signals. Key algorithm implementations include a PID controller for speed regulation and a tire-ground interaction model based on Pacejka's magic formula. Users can modify these parameters through Simulink's mask parameter dialog boxes, enabling rapid scenario testing for different vehicle configurations and road conditions. Straight-line driving performance significantly impacts vehicle safety and efficiency metrics. Through systematic parameter sweeps and Monte Carlo simulations, the model facilitates thorough analysis of acceleration performance, braking distance calculations, and fuel consumption optimization. The simulation results generate time-domain plots for velocity profiles, acceleration curves, and energy consumption data, providing actionable insights for vehicle calibration and control strategy development. This parametric modeling framework supports iterative optimization cycles, making it particularly valuable for automotive engineers developing advanced driver assistance systems (ADAS) and autonomous driving functionalities.