(Practical activities|Competitions|Frontal teaching|Experimental laboratory)
- Docente responsabile
- DAVIDE De SIMONE
- CCS proponenti
- Ingegneria Elettrica Ingegneria dell'Automazione|Ingegneria Elettronica
- CFU
- 2
- Ore in presenza
- 25
- Prerequisiti
- Basic knowledge of electrical Drives and control is recommended but not mandatory.
- N° max studenti
- 30
- Criteri di selezione
- Students (both BSc and MSc) in Electrical, Electronics, and Automation and Control Engineering will be preferred. Then, students of Mechanical and Energy Engineering will be selected. All the others can participate, according to the limited number of admitted students.
- Parole chiave:
- electric drives, electric vehicles, microcontrollers, vehicle control
- Tag
- Energy, Engineering, Mobility and transportation, Environmental and social sustainability, Software
Descrizione dell'iniziativa
The activity will be organized as a real team competition. Each team can be made up of between 2 and 5 students. Each team (up to 10 teams) will be assigned a model of remote-controlled electric car with the ability to access motor control.Teams will be instructed on the possibilities of acting on the control.They will then be left free to work independently on the motor control with the aim of minimizing its consumption.The last meeting will be the actual race. Each team will be called upon to drive a circuit to their car. The team that travels the largest distance will be the winner.
Periodo di svolgimento
dal February 2025 a May 2025
Calendario
The laboratory sessions will be held on Wednesdays from 16:00 to 19:30. The final calendar will be shared according to external factors and final planning.
Note
Students will design and implement control strategies to minimize the energy consumption of electric vehicles. Each team will be assigned a custom-built, scaled electric vehicle equipped with an industrial-grade microcontroller and a basic firmware, programmable via a Simulink block diagram. The provided firmware allows control of the vehicle's peripherals and traction system but does not include any energy optimization. Brief lectures will provide students with foundational knowledge on electric motors, electric drives, and microcontroller programming with Simulink. Teams will be free to modify the basic control algorithm to implement their energy optimization strategies and perform the necessary tests on their vehicles. During the laboratory sessions, tutors will be available to assist groups with implementation challenges, no assistance will be given for the conceptualization of the control algorithms.The effectiveness of the developed strategies will be evaluated during a final endurance race, in which each team will compete with its own vehicle. The team that covers the greatest distance within a given time limit will win.