Introduction to Model-Based Automotive Systems Engineering

Modern vehicles are complex networks of software and hardware working in perfect harmony. To design these advanced machines safely and efficiently, engineers rely on model-based systems engineering to simulate and test systems long before physical prototypes are built. This text-based course guides you from the fundamental principles of automotive engineering to designing and simulating dynamic vehicle systems. You will gain a solid, practical understanding of how to translate physical automotive components into mathematical models and simulation workflows. What you'll learn: Understand the core principles of model-based systems engineering and foundational automotive terminology; Model physical vehicle dynamics including powertrain, braking, and suspension systems; Design feedback control systems to manage vehicle stability and performance; Simulate system behavior under various driving cycles and environmental conditions; Apply modern software-in-the-loop testing concepts to validate control algorithms; Learn to structure automotive architectures using industry-standard modeling frameworks. You will start with essential terminology and the foundational physics of vehicle dynamics. From there, you will progress through written explanations and conceptual walkthroughs that demonstrate how to construct, analyze, and refine automotive system models. This course is designed for aspiring automotive engineers, systems engineers, and students who want to build a strong foundation in model-based design, with no prior simulation experience required. Start reading today to master the foundations of modern automotive design.