Model Based Development -Mbd- For Automotive Using Simulink
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.66 GB | Duration: 4h 49m

To be Model Based Engineer

What you'll learn
0. Understand what is model based development in automotive industry
1. Navigate the Simulink Environment
1.1 Understand the Simulink interface
1.2 Add blocks and run a model
2. Simulink Solvers
2.1 Understand Simulink solvers and their role in model simulation
2.2 Compare variable and fixed step solvers
2.3 Determine which solver is appropriate for embedded systems
3. Basic Libraries
3.1 Recognize key blocks in each library
3.2 Analyze block parameters and their effects on behavior
3.3 Simulate each block with different inputs
4. Code Generation
4.1 Generate C code for individual blocks and block combinations
4.2 Understand the generated code and files
4.3 Analyze how block parameters impact the generated code
5. Custom Libraries
5.1 Create and reuse custom libraries in different models
6. MATLAB Function in Simulink
6.1 Insert and create MATLAB functions within a model
7. Real-World Application: Wiper System Controller
7.1 Implement, simulate and generate code for the Wiper System Controller project

Requirements
Basic Knowledge of MATLAB

Description
Model-based development (MBD) is an innovative approach to designing complex systems, such as software applications, control systems, and embedded systems. This methodology involves using models to represent different aspects of the system, such as its behavior, functionality, and structure. By creating and manipulating these models, developers can design, and simulate the system in a controlled and efficient manner.In this course, you will gain a deep understanding of the fundamentals of MBD and develop the skills necessary to succeed in this exciting field. You will start by learning the basic concepts and principles that underlie MBD, including the different types of models and their applications. You will also explore the various tools and techniques used in MBD, such as implementation and simulation.By the end of the course, you will have developed a deep understanding of the MBD process and acquired the practical skills to create and deploy models that meet industry standards and requirements. You will be well-prepared to join the MBD field and contribute to the development of complex systems that are efficient, reliable, and cost-effective.Whether you're a student, engineer, or researcher, this course will provide you with the knowledge and skills you need to succeed in the exciting and rapidly-evolving field of MBD. You'll be able to leverage your newfound expertise to design, implement, and test complex systems in a way that maximizes efficiency, quality, and performance.In addition to providing you with a strong foundation in MBD, this course is also designed to prepare you for the job market and for company interviews. By completing the course, you will gain a competitive edge and be well-prepared to enter the job market in the MBD field.

Overview
Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 MBD in ASpice V-model

Section 2: Simulink Environment

Lecture 3 Simulink Interface

Section 3: Simulink Solvers

Lecture 4 Solvers

Section 4: Sources Library

Lecture 5 Constant Block

Lecture 6 Ramp Block

Lecture 7 Input Block

Lecture 8 Step Block

Lecture 9 Clock Block

Lecture 10 Signal Builder Block

Section 5: Accessing Variables

Lecture 11 Accessing Variables - Model Explorer

Section 6: Data Types in Simulink

Lecture 12 Data Type Conversion

Section 7: Simple Code Generation

Lecture 13 Code Generation - How to generate Code

Lecture 14 Code Generation - Understand generated code

Section 8: Math Operations Library

Lecture 15 "Add", "Product", "Divide", "Gain" Blocks

Lecture 16 "Abs", "Sign", "Sqrt", "Minmax", "Sine Wave Function", "Math Function" Blocks

Section 9: Logic and bit Operations Library

Lecture 17 "Compare To Constant", "Compare To Zero", "Logical Operator" Blocks

Lecture 18 "Bitwise Operator", "Relational Operator" Blocks

Section 10: Discrete Library

Lecture 19 "Unit Delay" Block

Section 11: Discontinuities Library

Lecture 20 "PWM", "Saturation" Blocks

Section 12: Signal Routing Library

Lecture 21 "Mux", "Demux" Blocks

Lecture 22 "Goto", "From" Blocks

Lecture 23 "Switch" Block

Lecture 24 "Merge" Block

Section 13: Lookup Tables Library

Lecture 25 "1-D Lookup Table" Block Simulation

Lecture 26 "1-D Lookup Table" Block Code Generation

Section 14: Ports & Subsystems Library - Subsystems Masks

Lecture 27 "Subsystem" Block

Lecture 28 Subsystems Masks

Lecture 29 "Enable" and "Enabled Subsystem" blocks

Lecture 30 "Function-Call Generator" and "Function-Call Subsystem" Blocks

Lecture 31 "Trigger" and "Triggered Subsystem" Blocks

Lecture 32 "If" and "If Action Subsystem" Blocks

Lecture 33 "Switch Case" and "Switch Case Action Subsystem" Blocks

Section 15: Custom Library

Lecture 34 Custom Library

Section 16: MATLAB Function inside Simulink

Lecture 35 "MATLAB Function" Block

Section 17: Automotive Project - Wiper System Application

Lecture 36 Project - Project and Requirements Description

Lecture 37 Project - Method 1 - Model Implementation

Lecture 38 Project - Method 1 - Code Generation

Lecture 39 Project - Method 2 - Model Implementation

Lecture 40 Project - Method 2 - Code Generation

Undergraduate and graduate students seeking a model-based development engineering position,Embedded software engineers who want to work on the application layer using the model-based development approach,Software engineers who want to work in the automotive industry using the model-based development approach

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