What you'll learn

Understand what Model Based Development means in the automotive industry

Learn MATLAB scripting from basics to practical usage

Build control logic using Simulink blocks

Model real automotive systems step by step

Work with signals, subsystems, and data flow

Develop logic for automotive use cases like braking, battery and engine systems

Learn Stateflow basics for modes and fault handling

Simulate models and analyze results

Understand MIL, SIL, and HIL testing concepts

Learn how models move from design to ECU software

Understand how Simulink models are used in real vehicle projects

Prepare confidently for interviews related to Model Based Development

Requirements

Basic understanding of engineering concepts

Interest in automotive systems or embedded software

No prior experience in MATLAB or Simulink is required

No prior knowledge of Model Based Development is required

A computer or laptop that can run MATLAB and Simulink

Willingness to practice and build models step by step

Description

Automotive Model Based Development CourseYou learn model based development for automotive systems in a clear, step by step format. You build skills in Simulink, control logic and ECU workflows. You understand how real projects run in the industry. This starter pack helps you move from basics to practical work. It ensures you can prepare for automotive roles with confidence.Why this automotive model based development course mattersThis course gives you a complete understanding of Model-Based Development (MBD) and MATLAB scripting with a focus on automotive systems. MBD is widely used in today’s industry to design, test, and validate vehicle systems faster and with higher accuracy. This course covers everything from drive cycles and battery use to advanced control systems. You will learn how to model, simulate, and verify automotive functions step by step.What you will learnBasics of MATLAB and Simulink, including scripting and block modelingMATLAB for automotive – drive cycles, fuel efficiency, braking distance and battery charge trackingBuilding and simulating models of vehicle systems in SimulinkSignal routing, requirement management, and linking requirements to modelsABS Stateflow for logic, control, and fault handlingExplained in theory Model-in-the-Loop (MIL), Software-in-the-Loop (SIL), and Hardware-in-the-Loop (HIL) testingModel-in-the-Loop (MIL) and Software-in-the-Loop (SIL) testing using Simulink Demonstrated.Automatic code generation by using MATLAB SimulinkExplained coverage analysis methods (Condition, Decision, MC/DC)Automotive modeling guidelines (MAAB, JMAAB)Full lifecycle integration from requirement specification to testingWho should joinAutomotive engineers moving to MBD workflowsSoftware developers who want to specialize in automotive systemsStudents and professionals looking to build a career in advanced automotive engineeringKey outcomeBy the end of this course, you will have the confidence to use MATLAB and Simulink as engineering tools. You will know how to design models, run simulations, write scripts, test with HIL/SIL setups, and generate production-ready code. This will prepare you for the automotive industry’s growing demand for MBD skills. These skills are essential in electric powertrains, autonomous features, and vehicle control systems.

Who this course is for

Automobile engineering students who want practical skills beyond textbooks

Mechanical engineers shifting toward automotive software roles

Freshers preparing for jobs in automotive software and EV companies

Working professionals who want to learn Model Based Development

Engineers starting with MATLAB and Simulink for automotive applications

Professionals involved in ECU development, testing, or validation

Anyone interested in understanding how software controls modern vehicles

Learn_Model_Based_Development_for_Automotive.part1.rar - 2.9 GB

Learn_Model_Based_Development_for_Automotive.part2.rar - 2.1 GB