🏆 Michele Magno Wins Best Paper Award at the IEEE MetroAutomotive 2026 Conference
In 2026, researcher Michele Magno, head of the D-ITET project-based learning center, was honored with the Best Paper Award presented by a young researcher at the IEEE MetroAutomotive international workshop on measurements in the automotive field, which was held at the University of Brescia in Italy. The scientific paper addressed an advanced topic that reflects the future of smart automotive systems through the integration of smart sensing and Edge AI technologies.
These developments are an important milestone in electrical engineering and advanced technologies that directly affect the automotive industry in terms of how data is collected and analyzed to manage and improve the performance of smart vehicles.
📌 Quick Summary: Smart sensing technologies and Edge AI open new horizons for smart automotive systems, raising the level of safety, efficiency, and control in power distribution and load management systems within modern vehicles.
⚡ Smart Sensing in Cars: Concept and Application
Smart sensing is the use of advanced sensors integrated with control systems capable of processing data locally before sending it to the main central processing unit. This concept depends on integrating electrical and electronic sensors that measure basic values such as voltage, current, temperature, vibration, or motion.
In smart cars, these sensors play a key role in monitoring battery condition, electric motor performance, and controlling electrical power distribution systems within electronic control units.
- Monitoring voltage and current: to ensure balance and adjust energy consumption according to driving conditions.
- Detecting faults and abnormal electrical signals: such as voltage fluctuations or sudden current surges.
- Improving energy efficiency by responding in real time to load changes within the vehicle’s electrical system.
🔹 Important point: Smart sensors help reduce reliance on cloud communications by performing most processing at the Edge AI level, which reduces response time and enhances the security of the electrical system.
🧠 Edge AI and Its Role in Automotive Electrical Systems
The term Edge AI refers to the application of local artificial intelligence technologies on devices close to the data source, without the need to transfer all data to remote servers. This reduces energy consumption in communication systems and ensures faster response in data processing and control.
In the automotive engineering context, Edge AI makes it possible to analyze fault data, improve the performance of electrical transformers and distribution systems inside the vehicle, and also allows operational decisions to be made based on live sensor data, such as adjusting battery voltage or the timing of motor operation.
- Enabling early detection of grounding problems or short circuits through analysis of voltage and current variables.
- Regulating charging performance in solar power systems integrated into electric vehicles.
- Monitoring Power Quality inside the car, which extends component life and reduces failures.
⚠️ Safety warning: Applying Edge AI technologies requires the design of precise control systems integrated with distribution boards and circuit breakers to ensure safe isolation and control of electrical loads.
📊 The Relationship Between Scientific Research and Practical Application in Smart Vehicle Electrical Engineering
The scientific paper that addressed accelerating vehicle perception using smart sensing and Edge AI reflects a bridge between modern concepts and practical reality in electrical engineering and intelligent power distribution in vehicles.
The integration of smart sensing with electrical protection systems and distribution boards in cars achieves:
- Real-time monitoring and continuous analysis of the vehicle’s internal electrical network condition.
- Reducing the risks of expected power interruption through an advanced AI-based alert system.
- Improving energy management for subsystems such as the cooling system and electronic control components.
The development of advanced measurement systems such as the use of Multimeter and Clamp Meter smart devices also contributes to supporting these systems, especially in monitoring voltage and current standards with high accuracy.
🔹 Important point: Integrating artificial intelligence with smart measurement systems enhances the accuracy of electrical quality measurements and directly serves maintenance of electrical systems in modern cars.
🔧 Advanced Measurement Technologies and Their Role in Developing Smart Car Systems
Supporting scientific research for advanced measurement technologies, such as high-accuracy Multimeter devices and Clamp Meter instruments that measure currents without the need to open the circuit, provides vital data for training AI models for Edge systems.
These technologies enable engineers and technicians to:
- Identify weak points in electrical circuits quickly.
- Track potential grounding faults that may put the electrical system at risk.
- Monitor the quality of direct and alternating current in accordance with safety standards and the operating rules of electric vehicles.
📌 Quick Summary: Making use of modern measurement tools in combining sensing and artificial intelligence locally reduces operating costs and improves the performance of power distribution systems inside vehicles.
🛡️ The Importance of Electrical Safety and Advanced Protection Systems
Because smart systems in cars rely on complex electrical networks, the careful application of protection systems is essential for continued operation and prevention of serious failures. Therefore, fault monitoring, overcurrent protection, and rapid isolation procedures using smart circuit breakers are vital elements.
- Smart circuit breakers respond automatically to electrical faults and protect sensitive electronic devices in the vehicle system.
- Improved grounding systems contribute to passenger safety and protect electrical components from damage caused by current imbalance.
- Providing early warning systems through sensing and continuous analysis of electrical data.
⚠️ Safety warning: Ensuring the quality of grounding operations and connecting electrical networks in accordance with standard specifications is among the top priorities of inspection and maintenance operations in smart electric cars.
📈 Future Trends in Automotive Electrical Power Engineering
The focus on enhancing the smart capabilities of vehicle systems is reflected in recent scientific research through the adoption of technologies such as smart sensing and Edge AI. This indicates:
- Greater reliance on autonomous systems for performance analysis and electrical load control.
- Developing smart charging technologies for batteries and benefiting from integrated renewable energy through solar systems.
- Improving power quality and ensuring voltage stability through the use of smart transformers and advanced storage systems.
These developments will support practical steps in designing electrical networks inside cars, while ensuring operational safety and efficient consumption.
🔹 Important point: The interaction between university research and practical applications in the field of electrical engineering for smart cars enhances opportunities to develop strict systems that ensure sustainability and energy efficiency in vehicles.
🎓 Conclusion
Michele Magno’s receipt of the Best Paper Award reflects the importance of the topic in electrical engineering and its modern applications in the field of smart cars. The subject of smart sensing and Edge AI is not merely a technical advance; it is a gateway to improving power quality, safety, and operational efficiency for future automotive systems.
For electrical engineering students, technicians, and trainees, understanding the basic principles of these technologies and their applications in distribution networks and electrical control inside cars is vital to contributing to the sustainable development of the modern transport industry.
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