Preparing Industry-Ready Engineers: Control Systems for Electric Vehicles

Overview

Modern technology and software have opened new doors for academic staff, empowering us to create interactive learning resources that are not only quick and easy to develop but also incredibly cost-effective. Electric vehicle companies & auto manufacturers expect their graduate hires to be “industry ready,” and it is often tough to balance theoretical knowledge with hands on experience – especially in control systems.

The resources covered in this webinar are invaluable for students, offering them a platform to learn through hands-on experimentation, visualize complex engineering concepts related to electric vehicles, and dive deep into detailed system analysis. What's more, these resources seamlessly complement laboratory activities, providing students with the freedom to experiment and iterate rapidly, both before and after their lab sessions.

In this webinar, we are showcasing readily available tools and resources for teaching controls for electric vehicles.

Highlights

• What skills should future EV engineers have?​
• The role of control systems in EVs
• Enhancing controls teaching and promoting student engagement​ with a) Project-based learning​, b) Interactive tools​ c) Flipped classroom resources

About the Presenters

George Amarantidis is a Senior Customer Success Engineer at MathWorks, where he supports academic institutions with their research and teaching needs. He joined MathWorks in 2021 and has been actively involved in collaborating with universities to enhance their use of MATLAB and Simulink tools in various engineering and scientific applications.

Dr. Amarantidis holds a PhD in Control Systems from the University of Birmingham and an MEng in Electrical and Electronic Engineering from Loughborough University. His research interests are diverse and include applied control systems, signal processing, physical modeling and predictive maintenance. He frequently participates in seminars and workshops, sharing his expertise on topics such as model-based design and control systems education.