BUY NOW ↗
Just ₹299
Course Landing Page Login ↗
Download Course App ↗

You will learn MATLAB scripting and Simulink model based development for real automotive problems. The course starts with MATLAB basics and simple scripts. You then build Simulink models, link requirements, add logic with Stateflow, and generate production code. You will validate models and prepare them for hardware testing.

What you will learn

  1. Use MATLAB for calculations, data handling, plotting, and small scripts for automotive tasks.
  2. Build Simulink models, set up blocks, and route signals.
  3. Link requirements to models and keep traceability.
  4. Design mode logic and fault handling with Stateflow.
  5. Simulate, test, and validate models, including coverage analysis: condition, decision, MC/DC.
  6. Generate code from model.
  7. Follow automotive modelling guidelines such as MAAB and JMAAB.
  8. Model-in-the-Loop (MIL), Software-in-the-Loop (SIL) testing using Simulink Demonstrated.

Hands on examples you will do

  1. Drive cycle analysis and fuel efficiency checks.
  2. Battery charge tracking and SOC estimation.
  3. Brake distance calculation and controller testing.
  4. Automatic code generation.

Who this course is for

  1. You are an automotive engineer moving to model based workflows.
  2. You are a software developer looking to work on vehicle systems.
  3. You are a student or professional wanting practical MATLAB and Simulink skills.

Prerequisites:

No prior MATLAB or Simulink required. Basic math and a willingness to learn are enough.

Outcome

You will be able to build models. You can link them to requirements. You will run verification tests. You can generate code ready for automotive testing.

Course Syllabus

Part-1

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

  1. Drive Cycle Analysis: Read a drive cycle file and calculate vehicle energy consumption.
  2. Fuel Efficiency Estimator: Script to calculate fuel efficiency for given engine maps.
  3. Battery SOC Estimation: Simple MATLAB script for SOC tracking using current integration.
  4. 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-2

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