L. Gigli, P. Nannipieri, L. Zulberti, S. Vagaggini and L. Fanucci, "SystemVerilog UVM-based Verification Environment for a SpaceFibre Router," 2022 International SpaceWire & SpaceFibre Conference (ISC), Pisa, Italy, 2022, pp. 1-4

The number of space missions has seen continuous growth in the last years. Accordingly, satellite communications traffic and onboard spacecraft technologies have also increased. To manage high data flows in high-bandwidth communication protocols the...

G. Todaro, M. Monopoli, G. Benelli, L. Zulberti and T. Pacini, "Enhanced Soft GPU Architecture for FPGAs," 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 2023, pp. 177-180

Nowadays, General Purpose computing on Graphic Processing Unit (GPGPU) is deeply exploited in many application fields due to its high versatility and energy efficiency. Over the past decade, different solutions have been proposed to implement an...

M. Monopoli et al., "Exploiting FPGA Dynamic Partial Reconfiguration for a Soft GPU-based System-on-Chip," 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 2023, pp. 181-184

For many years, General Purpose Computing on Graphic Processing Units has been widely exploited in different fields of application. The hardware architectures enabling this kind of computation are increasingly complex, and their use for on-the-edge...

G. Simonte, R. Di Rienzo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “Rest Time Effect on the Series Resistance of Sodium-Metal Halide Battery”, in PEDES 2022, December 2022

Sodium-Metal Halide Batteries are an interesting alternative to the Lithium-ion ones in stationary applications. However, their complex chemistry requires an accurate battery model to fully exploit the battery capabilities. The electric-equivalent...

N. Nicodemo, R. Di Rienzo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “Low-Cost Lithium-Ion Battery Characterization Setup Based on Auxiliary Batteries”, ApplePies2022

Characterization tests are key to improve the Lithium-Ion batteries performance. Unfortunately, they require expensive equipment that small companies and laboratories can hardly afford. In this paper a novel low-cost battery characterization setup is...

L. Crocetti, R. Di Rienzo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “A novel and robust security approach for authentication, integrity, and confidentiality of Lithium-ion Battery Management Systems”, IESES 2023, July 2023

Battery management systems (BMSs) play a critical and crucial role in ensuring the safety and the efficiency of the batteries. The increasing BMS complexity, the expanding interconnections between batteries and applications, and the introduction of...

R. Di Rienzo, D. Micalizzi, A. Verani, N. Nicodemo, F. Baronti, R. Roncella: "Low-cost Systems to Measure the Volume Variation of Lithium-ion Cells”, 1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022, December 2022

Lithium-Ion batteries are the preferred solution for energy storage in many application fields. However, they can lead to hazardous situations and accidents when used outside their safety area. The development of early fail detection mechanisms is...

R. Di Rienzo, N. Nicodemo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “A novel methodology to study and compare active energy-balance architectures with dynamic equalization for second-life battery applications”, Journal of Energy Storage

The continuous growth of the electric vehicles market and the increasing environmental awareness impose to search for innovative solutions to reuse the exhausted vehicle batteries in different applications. One of the main problems of second-life...

G. Simonte, R. Di Rienzo, A. Verani, N. Nicodemo, F. Baronti, R. Roncella, R. Saletti: “Reliability Estimation of Commercial Na-NiCl2 Batteries Using Theoretical and Simulative Approaches”, IEEE Access, August 2023

Sodium-Metal Halide Batteries are a promising and cheap alternative to lithium-ion ones for stationary applications such as smart grids. However, the reliability of their elementary cell is low, and a battery composed of hundreds of cells could likely...

A. Verani, R. Di Rienzo, N. Nicodemo, F. Baronti, R. Roncella, R. Saletti: “Modular Battery Emulator for Development and Functional Testing of Battery Management System: Hardware Design and Characterization”, Electronics, March 2023

Battery Management Systems are essential for safe and effective use of Lithium-Ion batteries. The increasing complexity of the control and estimation algorithms requires deeper functional testing and validation phases of BMSs. However, the use of real...

R. Di Rienzo, D. Micalizzi, A. Verani, N. Nicodemo, F. Baronti, R. Roncella: “Low-cost Systems to Measure the Volume Variation of Lithium-ion Cells”, ONCON IEEE 1st Industrial Electronics Society Annual On-Line Conference

Lithium-Ion batteries are the preferred solution for energy storage in many application fields. However, they can lead to hazardous situations and accidents when used outside their safety area. The development of early fail detection mechanisms is...

G. Simonte, R. Di Rienzo, A. Verani, N. Nicodemo, F. Baronti, R. Roncella, R. Saletti: “Reliability Estimation of Commercial Na-NiCl2 Batteries Using Theoretical and Simulative Approaches”, IEEE Access, August 2023

Sodium-Metal Halide Batteries are a promising and cheap alternative to lithium-ion ones for stationary applications such as smart grids. However, the reliability of their elementary cell is low, and a battery composed of hundreds of cells could likely...

A. Verani, R. Di Rienzo, N. Nicodemo, F. Baronti, R. Roncella, R. Saletti: “Modular Battery Emulator for Development and Functional Testing of Battery Management Systems: Hardware Design and Characterization”, Electronics, March 2023

Battery Management Systems are essential for safe and effective use of Lithium-Ion batteries. The increasing complexity of the control and estimation algorithms requires deeper functional testing and validation phases of BMSs. However, the use of real...

R. Di Rienzo, N. Nicodemo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “A novel methodology to study and compare active energy-balance architectures with dynamic equalization for second-life battery applications”, Journal of Energy Storage

The continuous growth of the electric vehicles market and the increasing environmental awareness impose to search for innovative solutions to reuse the exhausted vehicle batteries in different applications. One of the main problems of second-life...

R. Di Rienzo, N. Nicodemo, R. Roncella, R. Saletti, N. Vennettilli, S. Asaro, R. Tola, F. Baronti: “Cloud-based optimization of a battery model parameter identification algorithm for battery state-of-health estimation in electric vehicles”, Batteries

Connectivity and cloud computing are key elements in the future of electric mobility. They allow manufacturers to provide advanced fleet management and predictive diagnostic services. In particular, cloud computing dramatically enhances data...

R. Ciardi, G. Giuffrida, M. Bertolucci, L. Fanucci: "A Software Defined Radio for CCSDS 131.2-B protocol: exploiting Graphic Processing Unit accelerator for high performance data reception.", in Proceedings of EDHPC 2023

This paper presents the implementation of a Software Defined Radio receiver in compliance with the CCSDS 131.2-B standard. Such standard has been defined for all the missions which require high data rate transmissions, especially for Earth Observation...

Gioia, F., Nardelli, M., Scilingo, E. P., & Greco, A. (2023). Investigating the physiology behind nose thermal response to stress: a cross-mapping approach. In 2023 IEEE MEDICON and CMBEBIH Conference 2023.

Gioia, F., Nardelli, M., Scilingo, E. P., & Greco, A. (2023). Autonomic Regulation of Facial Temperature during Stress: A Cross-Mapping Analysis. Sensors, 23(14), 6403.

F. Bargagna, L. A. De Santi et al.: "Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios", Journal of Digital Imaging, Online

Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image processing. Unfortunately, their performance is drastically reduced when datasets are scarce in nature (e.g., rare diseases or...

G. Todaro, M. Monopoli, G. Benelli, L. Zulberti and T. Pacini, "Enhanced Soft GPU Architecture for FPGAs," 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 2023, pp. 177-180

Nowadays, General Purpose computing on Graphic Processing Unit (GPGPU) is deeply exploited in many application fields due to its high versatility and energy efficiency. Over the past decade, different solutions have been proposed to implement an...