Andrea Pozzi

Enrico Barbierato

Informatics, March, 2023

Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters.

[BibT_eX]

[DOI]

Enrico Barbierato

Sensors, 2023

A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2023

Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem.

[BibT_eX]

[DOI]

Appl. Ontology, 2023

Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach.

[BibT_eX]

[DOI]

IEEE Access, 2023

Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling.

[BibT_eX]

[DOI]

Enrico Barbierato

Daniele Tessera

IEEE Access, 2023

Review and Alignment of Domain-Level Ontologies for Materials Science.

[BibT_eX]

[DOI]

Ilaria Maria Paponetti

Francesco Antonio Zaccarini

Arkopaul Sarkar

Lan Yang

IEEE Access, 2023

2022

Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2022

A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.

[BibT_eX]

[DOI]

Behrouz Zoghdar-Moghadam-Shahrekohne

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

SOS-based Stability Region Enlargement of Bilinear Power Converters through Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2020

Balancing-Aware Charging Strategy for Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach.

[BibT_eX]

[DOI]

Massimo Zambelli

Antonella Ferrara

IEEE Trans. Control. Syst. Technol., 2020

Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context.

[BibT_eX]

[DOI]

Xiangzhong Xie

René Schenkendorf

CoRR, 2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.

[BibT_eX]

[DOI]

CoRR, 2020

Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach.

[BibT_eX]

[DOI]

Marcello Torchio

Richard D. Braatz

CoRR, 2019

2018

Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics.

[BibT_eX]

[DOI]

Gabriele Ciaramella

Stefan Volkwein

CoRR, 2018

Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach.

[BibT_eX]

[DOI]

Marcello Torchio

Proceedings of the 16th European Control Conference, 2018

Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries.

[BibT_eX]

[DOI]

Krishnakumar Gopalakrishnan

Gabriele Ciaramella

Stefan Volkwein

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells.

[BibT_eX]

[DOI]

Marcello Torchio