
Learn about model-based design for automotive systems, including MPD processes, the V-model, software architecture, modeling tools, envelope testing, and real automotive industry examples, with labs and quizzes.
Model-based design uses mathematical models and differential equations to simulate physical systems, test controllers in a simulator, and reduce time and cost before hardware prototyping.
Discover how models represent system properties and provide coefficients for differential equations, using scale testing and Simulink to study statics, dynamics, and multi-domain behavior.
Trace the model-based design process from customer requirements through system and software requirements, design, implementation, and testing, focusing on components, interfaces, and iterative feedback.
A system is a set of components connected to achieve a specific task. Subsystems A and B exchange inputs and feedback through internal interfaces that define their relations.
Explore the automotive market structure with OEMs, T1 and T2 suppliers, and how hardware and software are provided to OEMs by companies such as Vallejo, Evlabs, and Upgrade.
Explore MBD through the v-model, convert customer requirements into SRS, develop models with model-in-the-loop testing, generate code, and perform hardware in the loop validation to ensure alignment and defect detection.
Explore automotive software architecture, including AutoZore-inspired layered design from microcontroller to abstraction and surface layers, stacks and UDS diagnostics, with Vector tools and NBD engineers focusing on high-level applications.
Shift to model-based design for automotive systems enables faster development and testing than manual coding, using graphical blocks to improve communication, reduce errors, and prove concepts before hardware deployment.
Explain the model-based development role in automotive systems, showing how an MPD engineer defines components, sets velocity points, implements logic, and uses develop, generate, and test stages to model physics.
Explore model-based development use cases in automotive embedded software, including adas, wiper control, battery management, engine and motor control, hvac, and lighting.
Learn guiding principles for automotive model-based design with AutoZar, including component-based software from multiple suppliers, standard naming and interfaces, map guidelines, and Model Advisor to generate safe code.
Model automotive systems with MATLAB and Simulink, translating differential equations and transfer functions into block diagrams and simulations. Explore state flow, PID blocks, and code generation for embedded targets.
Explore white box modeling by turning physical systems into differential equations in Simulink, and extend to gray box, multiphysics, and black box approaches with parameter estimation and embedding considerations.
Explore Enthaloop in model-based design for automotive systems, testing through mill, cell, and back-to-back validation, generating code, and validating with PIL in the loop on hardware.
Learn how embedded design and development drive automotive systems from requirements to high-level design, modeling, simulation, and code generation using v-model and interfaces for verification.
This course provides a clear and structured introduction to Model-Based Design (MBD) and its role in modern engineering workflows, especially within the automotive industry.
If you are new to Model-Based Design or feel confused about where to start, this course is designed to guide you step by step from the fundamentals to a complete understanding of how MBD is used in real-world projects.
You will begin by understanding the core concepts behind Model-Based Design, including what a “model” actually represents and how it differs from traditional embedded systems development. The course also explains how MBD integrates with software architecture and system-level thinking, giving you a broader engineering perspective.
As you progress, you will explore the Model-Based Design process, including the V-Model and different modeling approaches used in industry. You will also get an overview of the most commonly used tools, such as MATLAB and Simulink, and understand how they fit into the development workflow.
In addition, the course introduces the automotive market context, helping you understand where and how Model-Based Design is applied in real projects. You will also learn the basics of validation and testing, including an overview of In-the-Loop testing (MIL, SIL, HIL).
Finally, the course covers essential modeling guidelines and best practices that will help you build structured and maintainable models.
By the end of this course, you will have a solid foundation in Model-Based Design and a clear roadmap on how to continue your learning journey and apply MBD in academic projects or professional work.
This course is ideal for engineering students, fresh graduates, and engineers who want to enter the field of Model-Based Design with a clear and practical understanding.