Advancements in Smart Sensors for Automotive Systems

Dear Colleagues,

Modern vehicles are complex systems that necessitate accurate, fast, and reliable multi-parameter sensing architectures and related algorithms to meet performance, reliability, safety, and comfort requirements. Each of the main functional systems of the vehicle (the engine, drive train, and battery pack) and sub-systems (braking, steering, cooling, suspension, electrical, exhaust, seating, and A/C systems) are equipped with sensors that gather a massive amount of data in real time for processing through key electronic systems, such as the Engine Control Unit (ECU), the Battery Management System (BMS), and the processing units that govern Advanced Driver Assistance Systems (ADASs).

Industry and academia are investing time and resources into R&D for innovative, efficient, responsive, and cost-effective on-board sensing solutions, capable not only of improving the overall performance and functionalities of automotive systems, but of advancing the state of the art in terms of safety and environmental footprint. This Special Issue aims to showcase the most recent advances and scientific findings in the design, implementation, and experimental validation of cutting edge technologies for automotive smart sensors and sensing nodes, both in terms of hardware and software, including data fusion and data-driven models/AI techniques, for present and next-gen applications in all kinds of vehicles (ICEVs, HEVs, EVs, FCEVs, and industrial/heavy-duty vehicles).

Topics of interest include, but are not limited to, the following:

• Sensors and integrated sensor nodes for internal combustion engines;
• Sensors and integrated sensor nodes for electrical motors;
• Sensing solutions (HW+SW) for fuel cell electric vehicles;
• Sensing architectures and related methodologies/data processing for braking, steering, cooling, suspension, electrical, exhaust, seating, and A/C sub-systems;
• Sensing solutions (HW+SW) for driver drowsiness detection and driver comfort;
• Sensor devices and data processing for ADASs;
• Integrated sensors for battery pack/modules;
• Sensing solutions (HW+SW) in time and frequency domain at the battery cell level;
• Numerical processing and control in next-gen BMSs;
• Wireless sensor networks in automotive applications;
• Data-driven models and digital twins of automotive systems;
• AI techniques based on offline and real-time data in automotive applications;
• Data-driven and AI-based control system development.

Dr. Pier Andrea Traverso
Guest Editor

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