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Pietro Iurilli
Pietro Iurilli
Green Energy Storage
Verified email at greenenergystorage.eu
Title
Cited by
Cited by
Year
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
272022
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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Articles 1–12