9.5 Hours Course

Automotive Model Based Development Course

You 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 matters

This 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 learn

Basics of MATLAB and Simulink, including scripting and block modeling
MATLAB for automotive – drive cycles, fuel efficiency, braking distance and battery charge tracking
Building and simulating models of vehicle systems in Simulink
Signal routing, requirement management, and linking requirements to models
ABS Stateflow for logic, control, and fault handling
Explained in theory Model-in-the-Loop (MIL), Software-in-the-Loop (SIL), and Hardware-in-the-Loop (HIL) testing
Model-in-the-Loop (MIL) and Software-in-the-Loop (SIL) testing using Simulink Demonstrated.
Automatic code generation by using MATLAB Simulink
Explained coverage analysis methods (Condition, Decision, MC/DC)
Automotive modeling guidelines (MAAB, JMAAB)
Full lifecycle integration from requirement specification to testing

Who should join

Automotive engineers moving to MBD workflows
Software developers who want to specialize in automotive systems
Students and professionals looking to build a career in advanced automotive engineering

Key outcome

By 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.

Completion Certificate

✨ Get a Completion Certificate upon successfully finishing each course—showcasing your expertise and adding value to your professional profile.

Course Syllabus

Part-1

Module 1: Introduction to Model-Based Development

Overview of the automotive industry
Modern automotive systems and their complexity
Software development demands in the automotive domain
What is Model-Based Development (MBD)?
How Model-Based Development works
Software requirement analysis
High-level software design
Low-level software design overview
Model-in-the-Loop (MiL) testing
Code generation process
Software-in-the-Loop (SiL) testing
Hardware-in-the-Loop (HiL) testing
Software acceptance testing
Benefits of MBD in automotive engineering
Model-Based design configuration and requirement traceability

Module 2: V-Model Approach in Automotive Software

Introduction to the V-model in software development
Model-Based Development process in the V-cycle
Phases of the V-model
- Functional requirements
- Function development
- Software development
- Software integration
- Function integration
Model verification by simulation (MvS)

Module 3: Software Testing Methods in MBD

Importance of testing in automotive software
Types of testing
- Static testing
- Dynamic testing
Testing techniques
Levels of testing
- Unit testing
- Functional testing
- Integration testing
- System testing
- Acceptance testing
- Non-functional testing
Specialized testing methods
- Smoke testing
- Regression testing
- Structure-based testing
Coverage criteria
- Condition coverage
- Decision coverage
- Modified Condition/Decision Coverage (MC/DC)

Part-2

Module 1: Basics of MATLAB Environment

Introduction to MATLAB interface
Command window, workspace, editor, path
Creating and saving scripts (.m files)
Basic arithmetic and operations
Variables, data types (numeric, char, logical)

Module 2: Vectors, Matrices, and Arrays

Creating row and column vectors
Matrix operations (addition, multiplication, transpose, inverse)
Element-wise operations
Indexing and slicing data
Common matrix functions (size, length, sum, mean, max, min)

Module 3: Programming Basics

Scripts vs. functions
Control flow: if, else, elseif
Loops: for, while
Logical operators and relational operators
Nested loops and conditions
Example: Calculating vehicle speed profile from input data

Module 4: Data Handling and Visualization

Reading and writing data (.mat, .csv, .txt)
Plotting basics: plot, xlabel, ylabel, title, legend
Subplots and multiple graphs
3D plotting (surf, mesh)
Example: Plotting speed vs. time for a drive cycle

Module 5: Automotive Use Cases

Vehicle dynamics basics in MATLAB
- Acceleration, braking, fuel consumption calculations
Importing drive cycle data (NEDC, WLTP, Indian drive cycle)
Plotting and analyzing vehicle performance
Writing scripts to calculate range, SOC (State of Charge) of batteries

Module 6: File Handling & Automation

File I/O: fopen, fclose, fprintf, fscanf
Handling large datasets (sensor logs, test bench data)
Automating repetitive tasks with scripts
Example: Automated processing of multiple vehicle test files

Module 7: Advanced Scripting Concepts

Functions and function handles
Anonymous functions
Data structures: cell arrays, structures, tables
Signal processing basics for vehicle sensor data
Example: Filtering noisy speed sensor data

Module 8: Mini Projects

Drive Cycle Analysis: Read a drive cycle file and calculate vehicle energy consumption.
Fuel Efficiency Estimator: Script to calculate fuel efficiency for given engine maps.
Battery SOC Estimation: Simple MATLAB script for SOC tracking using current integration.
Braking Distance Calculator: Script to estimate braking distance at different speeds.

By the end of this course, you’ll be able to:

Write MATLAB scripts confidently.
Work with automotive datasets.
Automate calculations for real-world automotive problems.

Part-3

Module 1: Getting Started with MATLAB & Simulink

Overview of MATLAB and Simulink environment
Building your first Simulink model
Basics of blocks, signals, subsystems, and solvers

Module 2: Basics of Modeling

Working with sources, sinks, and mathematical operations
Signal routing and logic operations
Using ports and subsystems
Simulation parameters and time steps

Module 3: Model-Based Development Essentials

Configuration settings for models
Data import/export and diagnostics
Optimization and code generation settings
Simulink Data Dictionary and signal properties

Module 4: Requirement Management and Linking

Requirement Management
Requirement Analysis Lifecycle
Requirement Analysis Demo

Module 5: Stateflow for Logic and Control

Introduction to Stateflow
Basics of Stateflow Example
Stateflow logic development_Engine State
Stateflow logic development – Mode Management
BMS Exercise Practice
Antilock braking System Logic development

Module 6: Automotive Modeling Guidelines

MAAB and JMAAB modeling guidelines
Naming conventions and model layout
MAAB Guideline Logic Example

Module 7: Model Simulation & Code Generation

Types of simulation: MIL, SIL, PIL, HIL
Test harness creation and model coverage
Code generation with Simulink Coder and Embedded Coder
Example: Battery Management SOC Monitor

Module 8: Model-in-the-Loop (MIL) Validation

MIL validation workflow
Assertions and functional test execution
Coverage analysis and test reporting
Example: Engine cooling fan control

Module 9: Software In The Loop (SIL) Testing

Basic Introduction of SIL
SIL Testing In Simulink

A Complete Automotive Model Based Development Course Starter