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Pietro Iurilli
Pietro Iurilli
Green Energy Storage
E-mail confirmado em greenenergystorage.eu
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On the use of electrochemical impedance spectroscopy to characterize and model the aging phenomena of lithium-ion batteries: a critical review
P Iurilli, C Brivio, V Wood
Journal of Power Sources 505, 229860, 2021
1562021
SoC management strategies in battery energy storage system providing primary control reserve
P Iurilli, C Brivio, M Merlo
Sustainable Energy, Grids and Networks 19, 100230, 2019
372019
Detection of Lithium‐Ion Cells’ Degradation through Deconvolution of Electrochemical Impedance Spectroscopy with Distribution of Relaxation Time
P Iurilli, C Brivio, V Wood
Energy Technology 10 (10), 2200547, 2022
262022
EIS2MOD: A DRT-based modeling framework for li-ion cells
P Iurilli, C Brivio, RE Carrillo, V Wood
IEEE Transactions on Industry Applications 58 (2), 1429-1439, 2021
192021
Physics-Based SoH Estimation for Li-Ion Cells
P Iurilli, C Brivio, RE Carrillo, V Wood
Batteries 8 (11), 204, 2022
112022
Non-Invasive Detection of Lithium-Metal Battery Degradation
P Iurilli, L Luppi, C Brivio
Energies 15 (19), 6904, 2022
32022
EIS applied to Li-Ion Batteries: Modelling Cell Aging for Comprehensive SoH Estimation
P Iurilli
ETH Zurich, 2022
22022
Modelling and analysis of battery energy storage systems for primary control reserve provision
P IURILLI
Politecnico di Milano, 2016
12016
DRT-based SoC estimation for commercial Li-ion battery pack
P Iurilli, N Koch, RE Carrillo, C Brivio
2023 International Conference on Clean Electrical Power (ICCEP), 1-7, 2023
2023
DRT-based modelling framework for Li-ion cells
P Iurilli, C Brivio, RE Carrillo, V Wood, C PV-Center
2021
Lesbons modèlespour lesbonnes décisions
C BRIVIO, P IURILLI, ENPJ ALET, A HUTTER
Lithium dendrite detection technique report based on standard LMB cells testing
P Iurilli, L Luppi, MS BFH, M Kuthy
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Artigos 1–12