Battery Electric Vehicle (BEV) Software: Data Acquisition, Cybersecurity, Autonomy, Sensors, and Control Systems

This course introduces you to the critical software technologies driving the future of electric vehicles, focusing on automotive connectivity, autonomous driving, and advanced driver assistance systems (ADAS). You will dive into the world of connected vehicles, exploring the roles of Wi-Fi, cellular networks, global navigation satellite systems (GNSS), Bluetooth, and telematics in enabling seamless communication and data exchange. You will analyze the applications, benefits, limitations, and future trends of these technologies within the automotive industry. This course also discusses the domain of autonomous driving, where you will examine vehicle-to-everything (V2X) communication, the levels of driving automation, sensor fusion techniques, and the challenges and opportunities presented by self-driving vehicles. You will gain an understanding of advanced driving assistance systems (ADAS) technologies, including collision avoidance, lane keep, and cruise control systems. You will assess the working principles, components, and impact of these systems on vehicle safety while considering potential improvements and advancements.

This module will acquaint you with the fundamental technologies and concepts that enable vehicle connectivity, including in-vehicle Wi-Fi, cellular networks, global navigation satellite systems (GNSS), Bluetooth, and telematics. By exploring the evolution, principles, and applications of these technologies, you will gain a comprehensive understanding of how they contribute to enhanced vehicle functionality, connected car services, and autonomous driving. This knowledge will provide a strong foundation for further study and, prepare you to tackle the challenges and opportunities presented by the rapidly evolving landscape of connected and intelligent vehicles.

Lessons: 

  1. In-Vehicle Wi-Fi  
  2. Evolution of the Cellular Network 
  3. Global Navigation 
  4. Bluetooth 
  5. Telematics 

The knowledge gained in this module on autonomous drive systems is highly relevant and applicable to various fields beyond the automotive industry. The principles of V2X communication can be extended to other areas, such as smart cities and the Internet of Things (IoT), where interconnected devices and infrastructure can exchange information to optimize performance and efficiency. The concepts of sensor fusion and data integration are also crucial in fields like robotics, aerospace, and healthcare, where multiple data sources must be combined to make accurate decisions and control systems. Moreover, the understanding of autonomous systems and their challenges is valuable for professionals working on artificial intelligence, machine learning, and human-machine interaction. By mastering the content of this module, you will be well-equipped to tackle the interdisciplinary challenges posed by the rapidly evolving landscape of autonomous technologies.

Lessons: 

  1. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure(V2I) = Vehicle to Everything (V2X) 
  2. Autonomous 
  3. Sensor Fusion 

The knowledge gained in this module builds upon the foundational understanding of battery electric vehicle (BEV) software and its role in enhancing vehicle safety, comfort, and efficiency. By exploring the intricacies of collision avoidance, lane keep, and cruise control systems, you will develop a more comprehensive view of how these technologies interact and contribute to the overall driving experience. This understanding will serve as a springboard for further exploration of advanced topics in BEV software development and enable you to contribute to designing and implementing cutting-edge advanced driver assist systems (ADAS) solutions.

Lessons:

  1. Collision Avoidance 
  2. Lane Keep Systems 
  3. Cruise Control 

Other Courses

SkilRedi offers a robust suite of courses focused on maintenance and manufacturing in the EV industry.

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