Matilde D'Arpino

Research Assistant Professor

Ohio State University

United States

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Dr. Matilde D'Arpino is a Research Assistant Professor at Ohio State University, USA. Her research areas include the performance analysis of permanent magnet synchronous motors (PMSM), current sensor fault detection, and the techno-economic assessment of DC fast-charging stations. She has contributed to several recent articles focusing on empirical and numerical models for estimating core losses, as well as experimental implementations for enhancing PMSM drive systems.

Articles (15)

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2025

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2021

Collaborators (4)

Luigi Pio Di Noia

University of Naples Federico II

ITALY

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Ciro ATTAIANESE

Full Professor

Università degli Studi di Napoli Federico II

ITALY

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Giorgio Rizzoni

Ohio State University

UNITED STATES

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Prashanth Ramesh

Ohio State University

UNITED STATES

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Matilde D'Arpino

Research Interests

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Articles (15)

Accuracy of Core Losses Estimation in PMSM: A Comparison of Empirical and Numerical Approximation Models

Experimental Implementation of an Algorithm for Real Time Compensation of Phase Current Sensors DC Offset in Field Oriented Controlled PMSM Drives

A Techno-Economic Assessment of DC Fast-Charging Stations with Storage, Renewable Resources and Low-Power Grid Connection

Isolation, Detection and Estimation of Current Sensors Faults in PMSM Drives Based on Current Signature Modeling

Model-Based Detection and Estimation of DC Offset of Phase Current Sensors for Field Oriented PMSM Drives

Performance metrics for the comparison of lithium ion cell aging experiments

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

A Novel Experimental Testing Setup and Calibration Procedures for Cylindrical Cell Thermal Models

Current Signature Modeling of Surface-Mounted PMSM Drives With Current Sensors Faults

Reduced Order Model of Common Battery Pack Architectures for Assessment of Cell Parameter Variation Propagation

Design Space Exploration of Lithium-Ion Battery Packs for Hybrid-Electric Regional Aircraft Applications

Optimal Sensor Placement for Multifault Detection and Isolation in Lithium-Ion Battery Pack

Modeling and Detection of Phase Current Sensor Gain Faults in PMSM Drives

Extended Physics-Based Reduced-Order Capacity Fade Model for Lithium-Ion Battery Cells1

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

Collaborators (4)

Luigi Pio Di Noia

Ciro ATTAIANESE

Giorgio Rizzoni

Prashanth Ramesh

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