This course provides a complete understanding of Model Based Development (MBD) and MATLAB scripting for automotive systems. MBD is widely used across the automotive industry to design, test and validate vehicle functions faster and with greater accuracy. You will learn how to model, simulate and verify automotive functions while working with drive cycles, battery systems, vehicle controls and advanced testing workflows.
Scripting, modeling and simulation fundamentals.
Drive cycles, fuel efficiency, braking distance and battery tracking.
Build and simulate vehicle system models using Simulink.
Signal routing, requirement linking and traceability.
ABS logic, control design and fault handling.
MIL, SIL and HIL concepts with practical demonstrations.
Automatic code generation using MATLAB Simulink.
Condition, Decision and MC/DC coverage methods.
Automotive modeling guidelines and best practices.
Requirement specification through testing and validation.
• Automotive engineers moving to MBD workflows
• Software developers who want to specialize in automotive systems
• Students and professionals building a career in advanced automotive engineering
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 and SIL setups, and generate production ready code. These skills are highly valued in electric vehicles, autonomous systems, advanced driver assistance systems and vehicle control applications.
- 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 configuration and requirement traceability
- Introduction to the V-Model
- Model-Based Development process in V-Cycle
- Functional requirements
- Function development
- Software development
- Software integration
- Function integration
- Model verification by simulation (MvS)
- Importance of testing in automotive software
- Static testing
- Dynamic testing
- Testing techniques
- Unit testing
- Functional testing
- Integration testing
- System testing
- Acceptance testing
- Non-functional testing
- Smoke testing
- Regression testing
- Structure-based testing
- Condition coverage
- Decision coverage
- Modified Condition / Decision Coverage (MC/DC)
- Introduction to MATLAB Interface
- Command Window, Workspace, Editor, Path
- Creating and Saving Scripts (.m Files)
- Basic Arithmetic and Operations
- Variables and Data Types
- Creating Row and Column Vectors
- Matrix Operations
- Element-wise Operations
- Indexing and Slicing Data
- Common Matrix Functions
- Scripts vs Functions
- If, Else and ElseIf
- For and While Loops
- Logical and Relational Operators
- Nested Loops and Conditions
- Vehicle Speed Profile Example
- MAT, CSV and TXT File Handling
- Plotting Basics
- Subplots and Multiple Graphs
- 3D Plotting
- Drive Cycle Plot Example
- Vehicle Dynamics Basics
- Acceleration and Braking Calculations
- Fuel Consumption Analysis
- NEDC and WLTP Drive Cycles
- Battery SOC Calculation
- File Input and Output
- Large Dataset Processing
- Automating Tasks with Scripts
- Vehicle Test File Processing
- Functions and Function Handles
- Anonymous Functions
- Cell Arrays, Structures and Tables
- Signal Processing Basics
- Filtering Noisy Vehicle Sensor Data
- Drive Cycle Analysis
- Fuel Efficiency Estimator
- Battery SOC Estimation
- Braking Distance Calculator
- Write MATLAB Scripts Confidently
- Work With Automotive Datasets
- Automate Real World Automotive Calculations
- Overview of MATLAB and Simulink Environment
- Building Your First Simulink Model
- Basics of Blocks, Signals, Subsystems and Solvers
- Sources, Sinks and Mathematical Operations
- Signal Routing and Logic Operations
- Ports and Subsystems
- Simulation Parameters and Time Steps
- Configuration Settings for Models
- Data Import Export and Diagnostics
- Optimization and Code Generation Settings
- Simulink Data Dictionary and Signal Properties
- Requirement Management
- Requirement Analysis Lifecycle
- Requirement Analysis Demo
- Introduction to Stateflow
- Basics of Stateflow Example
- Engine State Logic Development
- Mode Management Logic Development
- BMS Exercise Practice
- Antilock Braking System Logic Development
- MAAB Modeling Guidelines
- JMAAB Modeling Guidelines
- Naming Conventions and Model Layout
- MAAB Guideline Logic Example
- MIL, SIL, PIL and HIL Simulations
- Test Harness Creation
- Model Coverage Analysis
- Code Generation using Simulink Coder
- Embedded Coder Workflow
- Battery Management SOC Monitor Example
- MIL Validation Workflow
- Assertions and Functional Testing
- Coverage Analysis
- Test Reporting
- Engine Cooling Fan Control Example
- Basic Introduction of SIL
- SIL Testing in Simulink