- Indoor and Outdoor Localization Technologies
- Underwater Vehicles and Communication Systems
- Advanced Battery Technologies Research
- Ultra-Wideband Communications Technology
- Target Tracking and Data Fusion in Sensor Networks
- Fault Detection and Control Systems
- Robotics and Sensor-Based Localization
- Advancements in Battery Materials
- Inertial Sensor and Navigation
- Distributed Sensor Networks and Detection Algorithms
- Microwave Imaging and Scattering Analysis
- Energy Harvesting in Wireless Networks
- Control Systems and Identification
- Fuel Cells and Related Materials
- Speech and Audio Processing
- Sensor Technology and Measurement Systems
- Analog and Mixed-Signal Circuit Design
- Magnetic Field Sensors Techniques
- Wireless Power Transfer Systems
- Wireless Body Area Networks
- Bluetooth and Wireless Communication Technologies
- Neural Networks and Applications
- Structural Health Monitoring Techniques
- Power Line Communications and Noise
- Hand Gesture Recognition Systems
University of Perugia
2016-2025
Roma Tre University
2017
Universidade Estadual de Campinas (UNICAMP)
2016
KTH Royal Institute of Technology
2011-2014
University of Udine
2006
Estimating the state of charge (SOC) batteries is fundamental for proper management and safe operation numerous systems, including electric vehicles, smart energy grids, portable electronics. While there no practical method direct measurement SOC, several estimation approaches have been developed, a growing number machine-learning-based techniques. Machine learning methods are intrinsically data-driven but can also benefit from a-priori knowledge embedded in model. In this work, we first...
In this study we define a comprehensive method for analyzing electrochemical impedance spectra of lithium batteries using equivalent circuit models, and information extraction on state-of-charge state-of-health from data by means machine learning methods. Estimation parameters typically implies non-linear optimization problem. A detailed estimating initial values the algorithm is described, emphasizing short computation times efficient convergence to global minimum. Parameters...
This paper provides an introductory survey on the various systems that exploit magnetic fields for positioning. Such find applications in those scenarios, both indoors and outdoors, where global navigation satellite are not available or fail to provide information with needed accuracy. While main idea of using electromagnetic position dates back past century, new application-led research this topic has emerged recent years. Results have expanded application range positioning technologies...
This paper describes the design and realization of a magnetic indoor positioning system. The system is entirely realized using off-the-shelf components based on inductive coupling between resonating coils. Both system-level architecture details are described along with experimental results. exhibits maximum error <;10 cm in an environment over 3 × m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> area. Extensive experiments larger areas,...
In this paper, an ultrasonic positioning system is presented and characterized, based on the usage of a portable grid beacons few fixed anchors. Since beacon can be moved to guarantee line-of-sight transmissions, proposed strategy potentially suitable for accurate mobile object in environment with complex geometry. The was tested experimentally, exhibiting subcentimeter accuracy range up 4 m.
This article presents a compact measurement system for electrochemical impedance spectroscopy (EIS) on lithium-ion battery (LIB). The is composed of vector analyzer (VIA) and state parameter estimation. VIA architecture based delta-sigma digital-to-analog analog-to-digital conversions to achieve the compactness, low-power consumption, high resolution required be potentially integrated within cell. estimation parameters equivalent circuit models solution nonlinear optimization problems....
Electrochemical impedance spectroscopy (EIS) is of fundamental importance for characterization and monitoring rechargeable batteries in automotive, energy storage, electronics sectors. In this article, a low-complexity practical system EIS presented, the uncertainty associated with its measurement results analyzed. The based on voltage-controlled current generator acquisition voltage signals from battery under test. Arbitrary waveforms can be generated, thus flexible reconfigurable....
This paper describes the design and realization of a low-frequency ac magnetic-field-based indoor positioning system (PS). The operation is based on principle inductive coupling between wire loop antennas. Specifically, due to characteristics artificially generated magnetic fields, relation induced voltage distance modeled with linear behavior in bilogarithmic scale when configuration coplanar, thus equally oriented, antennas used. In this case, transmitting antenna receiving one estimated...
Estimating the state of charge batteries is a critical task for every battery-powered device. In this work, we propose machine learning approach based on electrochemical impedance spectroscopy and 2D convolutional neural networks. A case study Samsung ICR18650-26J lithium ion also presented discussed in detail. An application-specific data augmentation technique developed applied. The proposed system achieves classification accuracy 93% test dataset new measurements from same battery 88%...
A research study aimed at developing a novel indoor positioning system is presented. The realized prototype uses sensor fusion techniques to combine information from two sources: an in-house ...
This paper proposes an analysis of the quasistationary magnetic field generated by coils and its applicability to 3-D short-range positioning scenarios. Starting from a theoretical background, approximation induced voltage in sensor coil is developed analyzed. Then, design performance field-based system described. The realized using three-axis generating coil. It uses resonance properties decrease current power consumption requirements. targeted for simple low-cost applications, requiring...
This paper presents the development and characterization of a system able to estimate 2D relative position nodes in wireless network, based on measurement distances between nodes. To this end, approaches problem from two perspectives: implementation theory. Combining classical non-linear least square approach new convention arrangement nodes, positioning was developed. Moreover, numerical theoretical study proposed using Cramér Rao Lower Bound (CRLB), proves that estimator is efficient. The...
Abstract Electrochemical impedance spectroscopy (EIS) is a powerful analytical technique for characterizing electrochemical energy storage and conversion systems. Among the methods analyzing EIS data, distribution of relaxation times (DRT) has emerged as valuable tool quantitative interpretation. DRT estimation typically relies on regularized least squares methods, where selection an appropriate regularization parameter remains key challenge. This critically affects balance between...
This paper presents a distance-measuring system based on the accurate round-trip time-of-flight measurement of single ultrawideband pulses propagating between two transceiver devices. The architectures realized devices, which are referred to as master and slave, described. device implements time-interval measuring function by means time-to-digital converter (TDC) integrated circuit, whereas slave acts pulse repeater. Both devices designed for low-cost realization low-power operations....
This paper presents research to develop an ultrawideband ranging sensor for personnel indoor localization based on the measurement of pulse round-trip time. An approach combining flexibility, a high update rate, and asynchronous operation with digital processing capability has been employed in design sensor. The principle operation, architecture realized sensor, experimental setup are described. Finally, results calibration validation test presented discussed. In procedure, root-mean-square...
In this letter we develop a solution for decentralized localization of transceiving nodes in wireless networks. By exploiting common transmission schedule, is achieved without any additional communication and dispels the need synchronized nodes. We derive Cramer-Rao bounds formulate two practical estimators localization. Finally, are tested numerical experiments.
This paper investigates the applicability of a developed Magnetic Positioning System (MPS) as support for dead-reckoning inertial navigation system (DR-INS) pedestrian applications. The integrated combines complementary properties separate systems, operating over long periods time and in cluttered indoor areas with partial nonline-of-sight conditions. obtained results show that proposed approach can effectively improve coverage area MPS operation bounded errors DR-INS. In particular,...
In this paper, we consider magnetic positioning and tracking of objects provide a comparison the characteristics two major measurement models: dipole model mutual inductance model. The numerical results obtained by applying these models to short-range position application, with maximum operating distance approximately 50 cm, are compared. Based on comparison, prototype 9-sensor array is developed, experimental tests performed, extensive presented. Outcomes show feasibility orientation mobile...
In this paper we develop a new technique for estimating fine clock errors and range between two nodes simultaneously by two-way time-of-arrival measurements us- ing impulse-radio ultra-wideband signals. Estimators parameters the are proposed that robust with respect to outliers. They analyzed numerically means of experimental measurement campaigns. The derived estimators achieve accuracies below 1Hz frequency estimation, 1 ns phase estimation 20 cm at 4m distance using 100MHz clocks both...
The influence of the environmental configuration on ac magnetic distance and position measurement systems, which are based inductive coupling tuned resonators, is experimentally analyzed. main aspects that affect accuracy such systems conductivity terrain presence metallic materials near resonators. It shown frequency dependent, a tradeoff to be considered between maximum operating range error. Moreover, strategy detect if results corrupted by presented. analysis then extended positioning...
A wearable system that is capable of tracking finger motion and recognizing a set hand gestures presented. Two units are worn on two fingers wirelessly powered without using cables or batteries, thus enhancing freedom movement. The comprised sections: measurement section wireless power transfer apparatus. consists measuring devices placed the thumb index fingers. Each these can acquire transmit sensor signals obtained from stretch an inertial unit. Furthermore, apparatus implemented by means...
This dataset consists of electrochemical impedance spectroscopy measurements on commonly-used batteries, namely Samsung ICR18650-26J cylindrical Lithium-Ion cells. The complex the batteries was measured at a set fourteen different frequencies from 0.05 Hz to 1000 Hz, using random-phase multi-sine excitation signal. For each excited frequency, current amplitude 50 mA, resulting in measurement uncertainty approximately 0.1 mΩ. Six repetitions are provided ten states-of-charge four brand-new...