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Your search keyword '"D'Arpino, Matilde"' showing total 68 results
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68 results on '"D'Arpino, Matilde"'

1. Optimal Sensor Placement in Lithium-Ion Battery Pack for Fault Detection and Isolation

Author

Cheng, Ye, D'Arpino, Matilde, and Rizzoni, Giorgio

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Energy storage systems for transportation and grid applications, and in the future for aeronautical applications, require the ability of providing accurate diagnosis to insure system availability and reliability. In such applications, battery packs may consist of hundreds or thousands of interconnected cells, and of the associated electrical/electronic hardware. This paper presents a systematic methodology for approaching some aspects of the design of battery packs, and in particular understanding the degree of analytical redundancy (AR) in the system that can be used for diagnostic strategies. First, the degree of AR that is intrinsic in the battery system is determined. Then, structural analysis tools are used to study how different measurements (current, voltage, and temperature) may improve the ability of monitoring and diagnosis of a battery system. Possible sensor placement strategies that would enable the diagnosis of individual sensor faults and individual cell faults for different battery pack topologies are analyzed as well. The work presented in this paper illustrates how to achieve the required fault detection and isolation (FDI) capabilities using a minimal or optimal sensor set, which is a critical step in the design of a large battery pack., Comment: This work has been submitted to the IEEE for possible publication

Published
2020

19. Critical Comparison of Li-Ion Aging Models for Second Life Battery Applications.

Author

Ganesh, Sai Vinayak and D'Arpino, Matilde

Subjects
*CYTOCHEMISTRY, *LITHIUM-ion batteries, *ENERGY storage, *BATTERY storage plants, *AUTOMOBILE industry
Abstract

Lithium-ion batteries (LIBs) from electrified vehicles (EVs) that have reached the automotive end of life (EoL) may provide a low-cost, highly available energy storage solution for grid-connected systems, such as peak shaving and ancillary services. There are several issues related to the integration of second life batteries (SLBs) in power systems, such as the variability of the pack design and cell chemistry, in-field assessments of the state of health (SoH), and estimations of the expected lifetimes of SLBs in different power system applications. Model-based approaches are commonly used in the automotive industry for estimating/predicting the capacity and power fade trajectories of LIBs during their life. However, a large variety of models are available with different fidelities, complexities, and computational costs. The accuracy of these estimations is critical for the derivation of business models for SLB applications. This paper presents a qualitative and quantitative assessment of the performance of two well-accepted, state-of-the-art aging models, initially developed for automotive applications and here applied to different SLB applications to predict both the capacity and power fade. These models are evaluated with respect to several performance metrics, such as fidelity of estimation and capability of extrapolation outside the calibration data range. The considered models are classified as semi-empirical physics-based and empirical models, respectively. Three different SLB power profiles, bulk energy for DC fast charge stations and two frequency regulation profiles, are considered, corresponding to different ranges of the SoC, C-rates, and battery temperatures, with the aim of exciting different aging mechanisms. The numerical results provide insight for the selection of aging models for SLB applications based on their performances and limitations. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Modeling and Simulation of Novel Electric/Hybrid Electric Multicopter Architectures for Urban Air Mobility

Author

Etienne Demers Bouchard, Johannes, Verberne, D'Arpino, Matilde, Metin, Ozcan, Porpora, Francesco, Jonathan, Gladin, Srujal, Patel, Cedric, Justin, and Dimitri, Mavris

Subjects
Atmospheric modeling, Atmospheric modeling, Simulation, NASA, Mechanical power transmission, Reliability engineering, Safety, Vehicle dynamics, Vehicle dynamics, Safety, NASA, Mechanical power transmission, Simulation, Reliability engineering
Published
2021

50. Lifetime Optimization for a Grid-Friendly DC Fast Charge Station With Second Life Batteries

Author

D’Arpino, Matilde and Cancian, Massimo

Abstract

Electrified vehicle (EV) batteries that have reached the automotive end of life are providing a low-cost energy storage solution for grid-connected systems, such as DC fast charge stations (DCFCs). There are several challenges associated with the integration of second life batteries (SLBs) in power systems, such as the definition of a systematic approach for the concurrent optimization of performance and lifetime with the aim of minimizing the investment and operating costs. This paper proposes the application of automotive SLBs to DCFC stations where high-power grid connection is not available or feasible. The SLBs are charged using a low-power grid connection and then provide DCFC power to the EVs. An optimal control problem has been formulated to identify the energy management control (EMC) strategy that allows minimizing the replacement rate of the SLBs, while ensuring the EV load request is match.

Published
2021
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