Energy Consumption Prediction for Electric Vehicles

• Challenges of developing an energy prediction system for electric vehicles with reliability, upgradability, and compliance with ISO 26262 and MISRA standards.
• Leveraging Model-based Design using Simulink and System Composer for simulation.
• Integration of CARLA for realistic testing scenarios, steering wheel controls, Google Maps for route planning, and an Android device as an HID.
• Remarkable results achieved, including real-time energy estimates, seamless integration of controls and route optimization, and improved user experience with an Android device as an HID.

About the Presenters

Dmytro Humennyi is an expert in robotics, automation, and automotive systems, with a Ph.D. from the National Technical University of Kyiv Polytechnic Institute. He has worked as an Electronics Engineer at Samsung, and as a Consultant at Global Logic Ukraine, currently at N-iX. Humennyi holds certifications in MathWorks tools, Siemens TIA Portal, and ISO standards for Functional Safety and CyberSecurity. He teaches at his alma mater and has published work on capturing non-cooperative spacecraft. His current research focuses on super-critical states of technical objects as he pursues a Doctor of Science in Engineering.

Marco Roggero is a senior application engineer at MathWorks Germany, specializing in autonomous systems, signal processing, and communication. With an M.Sc. from the Polytechnic of Milan, he brings extensive experience in developing innovative solutions using MathWorks tools. Marco's expertise lies in autonomous systems, signal processing, and communication.