Vehicle Engineering Simulation with MATLAB Case Studies

Resource Overview

Technical Implementation of Automotive System Modeling and Simulation

Detailed Documentation

Vehicle engineering simulation has become an indispensable technical approach in modern automotive R&D, where computer modeling replaces certain physical tests to significantly shorten development cycles and reduce costs. MATLAB, as an industry-standard engineering tool, plays a vital role in vehicle dynamics, control systems, and new energy vehicle research.

This ebook features dozens of carefully designed simulation cases covering core vehicle engineering scenarios: The fundamental modules include classical problems like suspension system frequency response analysis and braking distance calculations The autonomous driving section covers PID control strategy verification for Adaptive Cruise Control (ACC) systems The new energy vehicle专题 focuses on battery State of Charge (SOC) estimation and 3D efficiency map generation for electric motors

All cases employ modular design principles with clearly structured source code and standardized variable naming conventions, making them particularly suitable for: Students to quickly establish vehicle system simulation thinking Engineers to reference standard modeling methodologies Researchers to reproduce fundamental algorithms for secondary development

By adjusting parameter configurations in the case studies, readers can visually observe how various vehicle performance indicators change. This "what-you-see-is-what-you-get" learning approach effectively deepens the understanding of theoretical formulas. We recommend progressive learning following the chapter sequence, starting with single-system simulations before attempting multi-domain co-simulations.