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Today in the automobile industry, everything depends on data, testing, and computer models. Engineers use strong tools to study systems effectively. These tools help in analysing vehicle movement and drive cycles. They are crucial for battery use analysis and fault checking. One such popular tool is MATLAB.

This course will help you learn MATLAB scripting from the very beginning, with focus on automobile examples. You don’t need any past knowledge of MATLAB or coding—only interest and patience to learn step by step.

We will first learn the basics. This includes how to use MATLAB like a calculator. You’ll also learn how to write small scripts and how to work with data. Slowly, we will move to real topics. These include checking drive cycles, finding fuel efficiency, calculating braking distance, and tracking battery charge. By the end, you will know MATLAB coding. You will also know how to use it for solving real automobile problems.

What You Will Learn

  • Clear idea of MATLAB screen and scripting.
  • Confidence to work with data, do calculations, and make plots.
  • Link between coding and real automobile tasks.
  • Practice with small projects based on real industry problems.

This course is not about just remembering commands. It is about thinking like an engineer who uses MATLAB as a tool to check, calculate, and design.

Syllabus

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.