Paolo Carbone
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View article: Training-free state of health and state of charge estimation of batteries using the theory of evidence
Training-free state of health and state of charge estimation of batteries using the theory of evidence Open
View article: Quantifying Uncertainty in Large Language Models using Monte Carlo Dropout
Quantifying Uncertainty in Large Language Models using Monte Carlo Dropout Open
View article: Uncertainty Quantification in AI-Based Measurement Systems
Uncertainty Quantification in AI-Based Measurement Systems Open
View article: Design and Implementation of a Wireless Sensor Network for Water Resource Management
Design and Implementation of a Wireless Sensor Network for Water Resource Management Open
View article: P-551 Assessing the performance of generative AI chatbots in Preimplantation Genetic Testing: A comparative study of expert evaluations
P-551 Assessing the performance of generative AI chatbots in Preimplantation Genetic Testing: A comparative study of expert evaluations Open
Study question What is the reliability of generative artificial intelligence (AI), in the context of preimplantation genetic testing (PGT) evaluated by reproductive medicine specialists? Summary answer Generative AI shows moderate reliabil…
View article: Design, Validation, and Risk Assessment of LLM-Based Generative AI Systems Operating in the Legal Sector
Design, Validation, and Risk Assessment of LLM-Based Generative AI Systems Operating in the Legal Sector Open
View article: Synthesis of analog signals using QUBO-based spectral shaping of binary sequences
Synthesis of analog signals using QUBO-based spectral shaping of binary sequences Open
View article: Design, Validation, and Risk Assessment of LLM-Based Generative AI Systems Operating in the Legal Sector
Design, Validation, and Risk Assessment of LLM-Based Generative AI Systems Operating in the Legal Sector Open
View article: Training Gaussian process regression through data augmentation for battery SOC estimation
Training Gaussian process regression through data augmentation for battery SOC estimation Open
Estimating the state of charge of a battery is generally a challenging operation, as it depends non-linearly on the parameters that describe the internal state of the battery under test. Electrochemical impedance spectroscopy provides usef…
View article: A guide to equivalent circuit fitting for impedance analysis and battery state estimation
A guide to equivalent circuit fitting for impedance analysis and battery state estimation Open
In this study we define a comprehensive method for analyzing electrochemical impedance spectra of lithium batteries using equivalent circuit models, and for information extraction on state-of-charge and state-of-health from impedance data …
View article: Battery Impedance Spectroscopy Embedded Measurement System
Battery Impedance Spectroscopy Embedded Measurement System Open
The evolution of rechargeable battery characteristics have led to their use in almost every device in our everyday life. This importance has also increased the relevance of estimating the remaining battery charge (state of charge, SOC) and…
View article: LiPo batteries dataset: Capacity, electrochemical impedance spectra, and fit of equivalent circuit model at various states-of-charge and states-of-health
LiPo batteries dataset: Capacity, electrochemical impedance spectra, and fit of equivalent circuit model at various states-of-charge and states-of-health Open
This dataset contains experimental data of capacity and electrochemical impedance of five Lithium Polymer (LiPo) batteries (model LP-503562-IS-3 manufactured by BAK Technology). All batteries have been subjected to hundreds of charge-disch…
View article: Uncertainty characterization of a CNN method for Lithium-Ion Batteries state of charge estimation using EIS data
Uncertainty characterization of a CNN method for Lithium-Ion Batteries state of charge estimation using EIS data Open
Estimating the state of charge of batteries is a critical task for every battery-powered device. In this work, we propose a machine learning approach based on electrochemical impedance spectroscopy and 2D convolutional neural networks. A c…
View article: Battery SOC estimation from EIS data based on machine learning and equivalent circuit model
Battery SOC estimation from EIS data based on machine learning and equivalent circuit model Open
Estimating the state of charge (SOC) of batteries is fundamental for the proper management and safe operation of numerous systems, including electric vehicles, smart energy grids, and portable electronics. While there is no practical metho…
View article: On the Usage of Battery Equivalent Series Resistance for Shuntless Coulomb Counting and SOC Estimation
On the Usage of Battery Equivalent Series Resistance for Shuntless Coulomb Counting and SOC Estimation Open
In this paper, a feasibility study of a shuntless coulomb counting method for estimating the state of charge (SOC) of a battery is presented. Contrary to conventional coulomb counting, the proposed method does not require an external resis…
View article: Asymptotic Properties of a One-bit Estimator of Parametric Signals
Asymptotic Properties of a One-bit Estimator of Parametric Signals Open
This paper considers an estimator of the parameters in a linear-in-the-parameter signal, based on its binary quantization. It shows an analysis of the systematic errors for growing lengths of the data set. It also shows how to express the …
View article: Asymptotic Properties of a One-bit Estimator of Parametric Signals
Asymptotic Properties of a One-bit Estimator of Parametric Signals Open
This paper considers an estimator of the parameters in a linear-in-the-parameter signal, based on its binary quantization. It shows an analysis of the systematic errors for growing lengths of the data set. It also shows how to express the …
View article: Monitoring activities for the preservation of an Etruscan hypogeum in unsaturated soil mass
Monitoring activities for the preservation of an Etruscan hypogeum in unsaturated soil mass Open
A geotechnical monitoring campaign and a site investigation have been recently planned and undertaken aiming at the preservation and protection of the “ Palazzone ” Etruscan necropolis, an archaeological site dated back to Hellenistic peri…
View article: Battery SOC Estimation from Eis Data Based on Machine Learning and Equivalent Circuit Model
Battery SOC Estimation from Eis Data Based on Machine Learning and Equivalent Circuit Model Open
View article: LiBEIS : A software tool for broadband electrochemical impedance spectroscopy of lithium-ion batteries
LiBEIS : A software tool for broadband electrochemical impedance spectroscopy of lithium-ion batteries Open
Electrochemical impedance spectroscopy (EIS) is a fundamental tool used in numerous research fields and applications. In particular, EIS is commonly employed for studying and monitoring lithium-ion batteries, to ensure their safe and effic…
View article: Battery state of charge estimation using machine learning and electrochemical impedance spectroscopy measurements
Battery state of charge estimation using machine learning and electrochemical impedance spectroscopy measurements Open
Efficient energy management in battery-powered devices requires reliable estimation of the battery state of charge. We developed a data-driven state-of-charge estimation method based on machine learning and electrochemical impedance spectr…
View article: Dataset on broadband electrochemical impedance spectroscopy of Lithium-Ion batteries for different values of the state-of-charge
Dataset on broadband electrochemical impedance spectroscopy of Lithium-Ion batteries for different values of the state-of-charge Open
View article: EasyEIS: A software tool to perform electrochemical impedance spectroscopy using a source measure unit
EasyEIS: A software tool to perform electrochemical impedance spectroscopy using a source measure unit Open
Electrochemical impedance spectroscopy (EIS) is a powerful tool for monitoring rechargeable batteries through state of charge and state of health estimation. In practical applications, EIS may be performed using ad-hoc electronics embedded…
View article: Lithium-Ion Batteries state of charge estimation based on electrochemical impedance spectroscopy and convolutional neural network
Lithium-Ion Batteries state of charge estimation based on electrochemical impedance spectroscopy and convolutional neural network Open
Estimating the state of charge of batteries is a critical task for every battery-powered device.In this work, we propose a machine learning approach based on electrochemical impedance spectroscopy and convolutional neural networks.A case s…
View article: IEEE Instrumentation and Measurement Society Information
IEEE Instrumentation and Measurement Society Information Open
View article: One-Bit Constrained Measurements of Parametric Signals
One-Bit Constrained Measurements of Parametric Signals Open
This paper introduces a novel estimation framework for the parameters in a linear-in-the-parameters estimation problem, when one-bit measurements are processed. We consider a periodic signal, whose components have unknown amplitudes and ph…
View article: Binary Sequences for Online Electrochemical Impedance Spectroscopy of Battery Cells
Binary Sequences for Online Electrochemical Impedance Spectroscopy of Battery Cells Open
Online diagnostic of lithium-ion battery (LIB) cells may have significant impact on chemical energy storage systems. Electrochemical impedance spectroscopy (EIS) is widely used for the characterization of LIBs and could be the most appropr…
View article: Using Bluetooth Low Energy Technology to Perform ToF-Based Positioning
Using Bluetooth Low Energy Technology to Perform ToF-Based Positioning Open
Many distributed systems that perform indoor positioning are often based on ultrasound signals and time domain measurements exchanged between low-cost ultrasound transceivers. Synchronization between transmitters and receivers is usually n…
View article: Gesture recognition of sign language alphabet with a convolutional neural network using a magnetic positioning system
Gesture recognition of sign language alphabet with a convolutional neural network using a magnetic positioning system Open
Gesture recognition is a fundamental step to enable efficient communication for the deaf through the automated translation of sign language. This work proposes the usage of a high-precision magnetic positioning system for 3D position…
View article: Digital Impedance Emulator for Battery Measurement System Calibration
Digital Impedance Emulator for Battery Measurement System Calibration Open
Meaningful information on the internal state of a battery can be derived by measuring its impedance. Accordingly, battery management systems based on electrochemical impedance spectroscopy are now recognized as a feasible solutions for onl…