Automotive Embedded Validation Engineer Training

Course Overview:

AUTOSAR course overview

Course Objectives

Understand Automotive Embedded Systems: Introduce students to the fundamentals of embedded systems, their applications in automotive engineering, and the role of ECUs in modern vehicles.
Learn Automotive Communication Protocols: Explore various automotive communication protocols such as CAN, LIN, FlexRay, and Ethernet, along with their importance in automotive networks.
Grasp Automotive Electronics: Gain insights into automotive electronic components, microcontroller architectures, and memory systems relevant to automotive ECUs.
Develop Embedded Software Validation Techniques: Learn software validation methods, including static analysis, dynamic testing, and unit testing, to ensure the correctness of automotive software.
Implement Model-Based Development: Utilize MATLAB/Simulink for model-based validation and verification of automotive systems, enabling rapid prototyping and validation.
Comprehend Functional Safety and ISO 26262: Understand the principles of functional safety in the automotive industry and the ISO 26262 standard for safety-critical systems.
Master Hardware Validation Techniques: Gain hands-on experience with hardware validation, hardware-in-the-loop (HIL) testing, and calibration of automotive ECUs.
Apply Automotive System Integration and Testing: Perform system integration testing and validation, focusing on hardware-software integration and system-level performance.
Work on Real-World Validation Projects: Engage in practical projects to validate automotive embedded systems, applying industry best practices and methodologies.

Course Modules

Module-1: Introduction to Automotive Embedded Systems
Overview of embedded systems in the automotive domain
Applications and significance of automotive ECUs
Introduction to automotive architectures and ECU functionalities
Module-2: Automotive Communication Protocols
In-depth study of CAN, LIN, FlexRay, and Ethernet protocols
Message-based communication and arbitration mechanisms
AUTOSAR communication stack overview
Module-3: Automotive Electronics and Microcontrollers
Understanding automotive electronic components and sensors
Commonly used microcontroller architectures in automotive systems
Memory systems and I/O interfaces for automotive ECUs
Module-4: Embedded Software Validation Techniques
Static analysis for code quality assessment
Dynamic testing, unit testing, and test-driven development (TDD)
Code coverage analysis and metrics for software validation
Module-5: Model-Based Development and Validation with
MATLAB/Simulink
Basics of model-based design (MBD) and its application in automotive systems
Rapid prototyping and validation using MATLAB/Simulink
Validation of control algorithms for automotive functionalities
Module-6: Automotive Functional Safety and ISO 26262
Principles of functional safety in the automotive industry
Overview of the ISO 26262 standard and its implementation
Safety analysis and validation for safety-critical systems
Module-7: Hardware Validation Techniques and HIL Testing
Introduction to hardware validation and HIL testing
Developing HIL test scenarios and test automation
ECU calibration and validation using HIL systems
Module-8: Automotive System Integration and Testing
Challenges of hardware-software integration in automotive ECUs
System testing methodologies (black-box, white-box, regression, etc.)
Test automation and continuous integration (CI) in the automotive context
Module-9: Real-World Validation Projects and Case Studies
Engaging in practical projects to validate automotive embedded systems
Analyzing case studies of automotive embedded validation challenges
Project presentations and discussions
AUTOSAR course overview

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