Upcoming Program

MATLAB & Simulink

Automotive Applications

Simulink for Automotive System Design

Course Outlline

Based on the Simulink for System and Algorithm Modeling outline, this course is for automotive engineers who are new to system and algorithm modeling and teaches attendees how to validate designs using Simulink®. Topics include:

  • Creating and modifying Simulink models and simulating system dynamics

  • Modeling continuous-time, discrete-time, and hybrid systems

  • Modifying solver settings for simulation accuracy and speed

  • Building hierarchy into a Simulink model

  • Creating reusable model components using subsystems, libraries, and model references


MATLAB Fundamentals for Automotive Applications.

Day 1 of 2

Creating and Simulating a Model

Objective: Create a simple Simulink model, simulate it, and analyze the results.

  • Introduction to the Simulink interface

  • Potentiometer system

  • System inputs and outputs

  • Simulation and analysis


Modeling Programming Constructs

Objective: Model and simulate basic programming constructs in Simulink.

  • Comparisons and decision statements

  • Vector signals

  • PWM conversion system

  • Zero crossings

  • MATLAB Function block


Modeling Discrete Systems


Objective: Model and simulate discrete systems in Simulink.

  • Discrete signals and states

  • PI controller system

  • Discrete transfer functions and state-space systems

  • Multirate discrete systems


Modeling Continuous Systems


Objective: Model and simulate continuous systems in Simulink.

  • Continuous states

  • Throttle system

  • Continuous transfer functions and state-space systems

  • Physical boundaries

Techsource Systems is
Mathworks Sole and Authorised Distributor and Training Partner

Day 2 of 2

Solver Selection


Objective: Select a solver that is appropriate for a given Simulink model.

  • Solver behavior

  • System dynamics

  • Discontinuities

  • Algebraic loops


Developing Model Hierarchy


Objective: Use subsystems to combine smaller systems into larger systems.

  • Subsystems

  • Bus signals

  • Masks


Modeling Conditionally Executed Algorithms


Objective: Create subsystems that are executed based on a control signal input.

  • Conditionally executed subsystems

  • Enabled subsystems

  • Triggered subsystems

  • Input validation model


Combining Models into Diagrams


Objective: Use model referencing to combine models.

  • Subsystems and model referencing

  • Model referencing workflow

  • Model reference simulation modes

  • Model workspaces

  • Model dependencies


Creating Libraries


Objective: Use libraries to create and distribute custom blocks.

  • Creating and populating libraries

  • Managing library links

  • Adding a library to the Simulink Library Browser