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Course Detail

Course Name Introduction to Software Defined Vehicles
Course Code 24AT613
Program M. Tech. in Automotive Engineering
Semester 2
Credits 3
Campus Coimbatore , Chennai , Bengaluru , Amritapuri , Kochi

Syllabus

Unit 1

Definition and characteristics of software-defined systems-Role of software in shaping modern technologies- Software-defined networking and its application in electric mobility- Zonal Architecture Concepts: Centralized vs. Decentralized Architecture. Components of E&E Architecture: ECUs (Electronic Control Units), Networks (CAN, LIN, FlexRay, Ethernet)Electric Vehicle Architecture-Integration of software in electric vehicle architecture-Communication protocols and interfaces in EVs-Software in Power Management-Power electronics and control software-Optimization algorithms for energy efficiency.

Unit 2

Connected Vehicles and IoT in Electric Mobility-Introduction to connected vehicle technologies-Internet of Things (IoT) applications in electric mobility-Data analytics and vehicle-to-everything (V2X) communication- Autonomous Driving and Software Control. Introduction to Cloud Computing: Definition, Characteristics, Deployment Models (Public, Private, Hybrid), Service Models (IaaS, PaaS, SaaS).Overview of Major Cloud Service Providers: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and others. Overview of High-Performance Computing (HPC) in Automotive Systems. Requirements and challenges in automotive HPC: Safety, Reliability, Performance, Power Efficiency. Middleware for Embedded Systems: Communication Protocols (CAN, SPI, I2C), Message Brokers, Remote Procedure Calls (RPC). Edge Computing in Embedded Systems: Concepts, Architecture, Use Cases. Fundamentals of Application Development- Web Application Development- Application Architecture Patterns- Deployment and Distribution Strategies.

Unit 3

Sensor fusion and Safety– Sensor fusion and data processing algorithms-Path planning and decision-making algorithms-Real-time operating systems for SDVs -Challenges and Future Directions-Security and privacy concerns in software-defined electric mobility Security and Privacy Considerations: data encryption, secure communication protocols, user authentication.-regulatory and standardization challenges- Automotive Safety Standards (ISO 26262), Data Protection Regulations (GDPR, CCPA). Over-the-Air (OTA) Updates, Predictive Maintenance, Personalized Services. Emerging trends and future developments.

Objectives and Outcomes

Course Objectives

  1. To provide an overview on the integration of software in vehicle
  2. To develop application of software-defined networking and IoT
  3. To familiarize in the role of software in autonomous driving technology, intelligent transportation systems, and its challenges.

Course Outcomes

CO

CO Description

CO1

Describe the various software architecture applicable for automotive systems.

CO2

Analyse the application of software-defined networking, IoT technologies, and data analytics in SDVs.

CO3

Visualize various communication protocols to be implemented in SDVs.

CO4

Develop strategies for addressing security, privacy, and regulatory challenges in software-defined

vehicles.

CO-PO Mapping

 

PO1

PO2

PO3

PO4

PO5

CO1

1

2

1

1

3

CO2

1

2

1

1

3

CO3

1

2

1

1

3

CO4

1

2

1

1

3

Skills acquired

Compare traditional vehicles and electric vehicles, Environmental and economic considerations of electric mobility, Fundamentals of Software-Defined Systems

Text Books / References

Text Books / References

  1. James Larminie and John Lowry, “Electric Vehicle Technology Explained”, Willey,
  2. Tom Denton, “Autonomous Vehicle Technology: A Guide for Technicians and Engineers”, Cengage Learning, 2022.
  3. Thomas Nadeau and Ken Gray, “Software-Defined Networking”, O’Reilly Media, 2023.

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