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Andrea Pozzi
Andrea Pozzi
Assistant Professor (Rtda), Catholic University of Sacred Hearth
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Zitiert von
Zitiert von
Jahr
Optimal design of experiments for a lithium-ion cell: parameters identification of an isothermal single particle model with electrolyte dynamics
A Pozzi, G Ciaramella, S Volkwein, DM Raimondo
Industrial & Engineering Chemistry Research 58 (3), 1286-1299, 2018
642018
Optimal charging of an electric vehicle battery pack: A real-time sensitivity-based model predictive control approach
A Pozzi, M Torchio, RD Braatz, DM Raimondo
Journal of Power Sources 461, 228133, 2020
492020
A deep reinforcement learning framework for fast charging of li-ion batteries
S Park, A Pozzi, M Whitmeyer, H Perez, A Kandel, G Kim, Y Choi, WT Joe, ...
IEEE Transactions on Transportation Electrification 8 (2), 2770-2784, 2022
482022
Balancing-aware charging strategy for series-connected lithium-ion cells: A nonlinear model predictive control approach
A Pozzi, M Zambelli, A Ferrara, DM Raimondo
IEEE Transactions on Control Systems Technology 28 (5), 1862-1877, 2020
402020
Film growth minimization in a li-ion cell: a pseudo two dimensional model-based optimal charging approach
A Pozzi, M Torchio, DM Raimondo
2018 European Control Conference (ECC), 1753-1758, 2018
332018
Reinforcement learning-based fast charging control strategy for li-ion batteries
S Park, A Pozzi, M Whitmeyer, H Perez, WT Joe, DM Raimondo, S Moura
2020 IEEE Conference on Control Technology and Applications (CCTA), 100-107, 2020
322020
Ecological velocity planning through signalized intersections: A deep reinforcement learning approach
A Pozzi, S Bae, Y Choi, F Borrelli, DM Raimondo, S Moura
2020 59th IEEE Conference on Decision and Control (CDC), 245-252, 2020
232020
Stochastic model predictive control for optimal charging of electric vehicles battery packs
A Pozzi, DM Raimondo
Journal of Energy Storage 55, 105332, 2022
182022
Optimal design of experiment for parameter estimation of a single particle model for lithiumion batteries
A Pozzi, G Ciaramella, K Gopalakrishnan, S Volkwein, DM Raimondo
2018 IEEE Conference on Decision and Control (CDC), 6482-6487, 2018
182018
Global sensitivity methods for design of experiments in lithium-ion battery context
A Pozzi, X Xie, DM Raimondo, R Schenkendorf
IFAC-PapersOnLine 53 (2), 7248-7255, 2020
172020
Assessing the performance of model-based energy saving charging strategies in Li-ion cells
A Pozzi, M Torchio, DM Raimondo
2018 IEEE Conference on Control Technology and Applications (CCTA), 806-811, 2018
152018
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries
A Pozzi, D Toti
Computers & Chemical Engineering 163, 107847, 2022
82022
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states
A Pozzi, S Moura, D Toti
Computers & Chemical Engineering 173, 108222, 2023
52023
Cryptoblend: An AI-powered tool for aggregation and summarization of cryptocurrency news
A Pozzi, E Barbierato, D Toti
Informatics 10 (1), 5, 2023
42023
A neural network-based approximation of model predictive control for a lithium-ion battery with electro-thermal dynamics
A Pozzi, S Moura, D Toti
2022 IEEE 17th International Conference on Control & Automation (ICCA), 160-165, 2022
42022
Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters
A Pozzi, E Barbierato, D Toti
Sensors 23 (9), 4404, 2023
32023
Deep learning-based predictive control for the optimal charging of a lithium-ion battery with electrochemical dynamics
A Pozzi, S Moura, D Toti
2022 IEEE Conference on Control Technology and Applications (CCTA), 785-790, 2022
32022
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO’s ecosystem
P Del Nostro, G Goldbeck, A Pozzi, D Toti
Applied Ontology, 1-20, 2023
22023
Battery ageing-aware stochastic management of power networks in islanded mode
A Mosca, A Pozzi, DM Raimondo
2018 22nd International Conference on System Theory, Control and Computing …, 2018
22018
Review and Alignment of Domain-Level Ontologies for Materials Science
A De Baas, P Del Nostro, J Friis, E Ghedini, G Goldbeck, IM Paponetti, ...
IEEE Access 11, 120372-120401, 2023
12023
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