activity
20222024
most citedEV-EcoSim: A grid-aware co-simulation platform for the design and optimization of electric vehicle charging infrastructure

21 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2024

A Microgrid Deployment Framework to Support Drayage Electrification

Joseph N. E. Lucero, Ruixiao Sun, Brandon A. Miller +2

The electrification of heavy-duty commercial vehicles (HDCVs) is pivotal in reducing greenhouse gas emissions and urban air pollution; however, this transition poses significant ch…

cs.LG20241 cited

Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries

Andrea Lanubile, Pietro Bosoni, Gabriele Pozzato +3

Accurate estimation of battery state of health is crucial for effective electric vehicle battery management. Here, we propose five health indicators that can be extracted online fr…

eess.SY20241 cited

COBRAPRO: A MATLAB toolbox for Physics-based Battery Modeling and Co-simulation Parameter Optimization

Sara Ha, Simona Onori

COBRAPRO is a new open-source physics-based battery modeling software with the capability to conduct closed-loop parameter optimization using experimental data. Physics-based batte…

eess.SY202421 cited

EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of electric vehicle charging infrastructure

Emmanuel Balogun, Elizabeth Buechler, Siddharth Bhela +2

To enable the electrification of transportation systems, it is important to understand how technologies such as grid storage, solar photovoltaic systems, and control strategies can…

eess.SY20231 cited

Combining physics-based and machine learning methods to accelerate innovation in sustainable transportation and beyond: a control perspective

Gabriele Pozzato, Simona Onori

Lithium-ion batteries are playing a key role in the sustainable energy transition. To fully exploit the potential of this technology, a variety of modeling, estimation, and predict…

eess.SY2022

Core-shell enhanced single particle model for lithium iron phosphate batteries: model formulation and analysis of numerical solutions

Gabriele Pozzato, Aki Takahashi, Xueyan Li +3

In this paper, a core-shell enhanced single particle model for iron-phosphate battery cells is formulated, implemented, and verified. Starting from the description of the positive…